2023-11-23 19:27:17.106551: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Using TensorFlow backend
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=3, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
unable to find matching config id
Data id not set, auto assigned to: 1
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-15.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
2023-11-23 19:27:51.499992: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:51.838636: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:51.838859: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
input shape: (1440, 6)
x shape: (121, 1440, 6)
2023-11-23 19:27:51.885263: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:51.885482: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:51.885629: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:52.367481: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:52.367721: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:52.367875: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-23 19:27:52.368015: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14244 MB memory: -> device: 0, name: Quadro RTX 5000, pci bus id: 0000:0b:00.0, compute capability: 7.5
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |64 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
1 |1 |kernel_size0
4 |4 |kernel_size1
1 |1 |kernel_size2
2 |2 |pool_size0
4 |4 |pool_size1
5 |5 |pool_size2
4 |4 |stride_size0
3 |3 |stride_size1
5 |5 |stride_size2
0.4 |0.4 |dropout0
0.1 |0.1 |dropout1
0.1 |0.1 |dropout2
2023-11-23 19:28:00.683746: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
2023-11-23 19:28:05.795446: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x146e011efe80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-23 19:28:05.795484: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Quadro RTX 5000, Compute Capability 7.5
2023-11-23 19:28:05.800258: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-11-23 19:28:09.171467: I ./tensorflow/compiler/jit/device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.
[2K
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Trial 1 Complete [00h 00m 22s]
val_loss: 14.345040321350098
Best val_loss So Far: 14.345040321350098
Total elapsed time: 00h 00m 22s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
32 |128 |filter_unit1
256 |256 |filter_unit2
256 |None |filter_unit3
5 |1 |kernel_size0
2 |4 |kernel_size1
4 |1 |kernel_size2
4 |None |kernel_size3
4 |2 |pool_size0
4 |4 |pool_size1
5 |5 |pool_size2
4 |None |pool_size3
4 |4 |stride_size0
1 |3 |stride_size1
4 |5 |stride_size2
4 |None |stride_size3
0.4 |0.4 |dropout0
0.4 |0.1 |dropout1
0.3 |0.1 |dropout2
0.2 |None |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0044s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 12.461581230163574
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 28s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |256 |filter_unit0
4 |5 |kernel_size0
2 |4 |pool_size0
5 |4 |stride_size0
0.2 |0.4 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0066s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0066s). Check your callbacks.
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 15.358254432678223
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 30s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |256 |filter_unit0
64 |32 |filter_unit1
64 |256 |filter_unit2
64 |256 |filter_unit3
1 |5 |kernel_size0
1 |2 |kernel_size1
2 |4 |kernel_size2
1 |4 |kernel_size3
3 |4 |pool_size0
4 |4 |pool_size1
3 |5 |pool_size2
5 |4 |pool_size3
3 |4 |stride_size0
1 |1 |stride_size1
4 |4 |stride_size2
1 |4 |stride_size3
0.4 |0.4 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.1 |0.2 |dropout3
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Trial 4 Complete [00h 00m 05s]
val_loss: 14.156335830688477
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 35s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |256 |filter_unit0
5 |5 |kernel_size0
5 |4 |pool_size0
1 |4 |stride_size0
0.2 |0.4 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 14.807770729064941
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 38s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |256 |filter_unit0
32 |32 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
128 |None |filter_unit4
2 |5 |kernel_size0
1 |2 |kernel_size1
3 |4 |kernel_size2
2 |4 |kernel_size3
2 |None |kernel_size4
1 |4 |pool_size0
3 |4 |pool_size1
1 |5 |pool_size2
1 |4 |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
5 |1 |stride_size1
4 |4 |stride_size2
1 |4 |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.1 |0.4 |dropout1
0.2 |0.3 |dropout2
0.2 |0.2 |dropout3
0.2 |None |dropout4
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[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 14.646286964416504
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 43s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |256 |filter_unit0
128 |32 |filter_unit1
1 |5 |kernel_size0
1 |2 |kernel_size1
1 |4 |pool_size0
5 |4 |pool_size1
1 |4 |stride_size0
3 |1 |stride_size1
0.1 |0.4 |dropout0
0.1 |0.4 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0034s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0034s). Check your callbacks.
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 14.348094940185547
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 46s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |256 |filter_unit0
128 |32 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
32 |None |filter_unit4
2 |5 |kernel_size0
3 |2 |kernel_size1
2 |4 |kernel_size2
5 |4 |kernel_size3
2 |None |kernel_size4
4 |4 |pool_size0
4 |4 |pool_size1
2 |5 |pool_size2
5 |4 |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
4 |1 |stride_size1
4 |4 |stride_size2
2 |4 |stride_size3
3 |None |stride_size4
0.3 |0.4 |dropout0
0.1 |0.4 |dropout1
0 |0.3 |dropout2
0.2 |0.2 |dropout3
0.4 |None |dropout4
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[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 14.278324127197266
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 52s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |256 |filter_unit0
2 |5 |kernel_size0
3 |4 |pool_size0
2 |4 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 02s]
val_loss: 14.269761085510254
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 00m 55s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |256 |filter_unit0
128 |32 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
5 |5 |kernel_size0
1 |2 |kernel_size1
1 |4 |kernel_size2
5 |4 |kernel_size3
3 |4 |pool_size0
1 |4 |pool_size1
1 |5 |pool_size2
1 |4 |pool_size3
1 |4 |stride_size0
3 |1 |stride_size1
2 |4 |stride_size2
3 |4 |stride_size3
0.3 |0.4 |dropout0
0.4 |0.4 |dropout1
0.4 |0.3 |dropout2
0 |0.2 |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0052s vs `on_train_batch_end` time: 0.0086s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0052s vs `on_train_batch_end` time: 0.0086s). Check your callbacks.
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 14.953195571899414
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 00s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |256 |filter_unit0
256 |32 |filter_unit1
4 |5 |kernel_size0
5 |2 |kernel_size1
3 |4 |pool_size0
2 |4 |pool_size1
1 |4 |stride_size0
2 |1 |stride_size1
0.4 |0.4 |dropout0
0.2 |0.4 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0085s). Check your callbacks.
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 14.238818168640137
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 03s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |256 |filter_unit0
256 |32 |filter_unit1
4 |5 |kernel_size0
3 |2 |kernel_size1
5 |4 |pool_size0
3 |4 |pool_size1
3 |4 |stride_size0
2 |1 |stride_size1
0 |0.4 |dropout0
0 |0.4 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0029s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0029s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 13.866342544555664
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 06s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |256 |filter_unit0
64 |32 |filter_unit1
32 |256 |filter_unit2
64 |256 |filter_unit3
64 |None |filter_unit4
3 |5 |kernel_size0
5 |2 |kernel_size1
5 |4 |kernel_size2
1 |4 |kernel_size3
4 |None |kernel_size4
5 |4 |pool_size0
2 |4 |pool_size1
1 |5 |pool_size2
1 |4 |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
2 |1 |stride_size1
3 |4 |stride_size2
5 |4 |stride_size3
4 |None |stride_size4
0.3 |0.4 |dropout0
0 |0.4 |dropout1
0.3 |0.3 |dropout2
0.3 |0.2 |dropout3
0.2 |None |dropout4
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[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 14.65141487121582
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 13s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
3 |5 |kernel_size0
4 |2 |kernel_size1
5 |4 |pool_size0
5 |4 |pool_size1
2 |4 |stride_size0
5 |1 |stride_size1
0.2 |0.4 |dropout0
0 |0.4 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0071s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0071s). Check your callbacks.
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[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 15.549843788146973
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 16s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |256 |filter_unit0
256 |32 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
256 |None |filter_unit4
2 |5 |kernel_size0
1 |2 |kernel_size1
3 |4 |kernel_size2
4 |4 |kernel_size3
1 |None |kernel_size4
1 |4 |pool_size0
2 |4 |pool_size1
4 |5 |pool_size2
2 |4 |pool_size3
2 |None |pool_size4
4 |4 |stride_size0
1 |1 |stride_size1
3 |4 |stride_size2
3 |4 |stride_size3
3 |None |stride_size4
0.4 |0.4 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
0.3 |0.2 |dropout3
0.2 |None |dropout4
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Trial 15 Complete [00h 00m 07s]
val_loss: 14.374980926513672
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 22s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
256 |32 |filter_unit1
4 |5 |kernel_size0
3 |2 |kernel_size1
4 |4 |pool_size0
2 |4 |pool_size1
1 |4 |stride_size0
4 |1 |stride_size1
0.1 |0.4 |dropout0
0.4 |0.4 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0029s vs `on_train_batch_end` time: 0.0187s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0029s vs `on_train_batch_end` time: 0.0187s). Check your callbacks.
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 14.675344467163086
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 26s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |256 |filter_unit0
128 |32 |filter_unit1
128 |256 |filter_unit2
32 |256 |filter_unit3
64 |None |filter_unit4
3 |5 |kernel_size0
4 |2 |kernel_size1
3 |4 |kernel_size2
4 |4 |kernel_size3
1 |None |kernel_size4
4 |4 |pool_size0
2 |4 |pool_size1
4 |5 |pool_size2
1 |4 |pool_size3
4 |None |pool_size4
5 |4 |stride_size0
4 |1 |stride_size1
4 |4 |stride_size2
1 |4 |stride_size3
1 |None |stride_size4
0.4 |0.4 |dropout0
0.1 |0.4 |dropout1
0 |0.3 |dropout2
0.3 |0.2 |dropout3
0 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 14.706646919250488
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 32s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
128 |256 |filter_unit2
5 |5 |kernel_size0
3 |2 |kernel_size1
2 |4 |kernel_size2
4 |4 |pool_size0
1 |4 |pool_size1
2 |5 |pool_size2
4 |4 |stride_size0
1 |1 |stride_size1
1 |4 |stride_size2
0.3 |0.4 |dropout0
0 |0.4 |dropout1
0.4 |0.3 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0066s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0066s). Check your callbacks.
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 14.343217849731445
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 36s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |256 |filter_unit0
2 |5 |kernel_size0
4 |4 |pool_size0
5 |4 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 14.7013578414917
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 38s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |256 |filter_unit0
256 |32 |filter_unit1
64 |256 |filter_unit2
2 |5 |kernel_size0
4 |2 |kernel_size1
5 |4 |kernel_size2
1 |4 |pool_size0
3 |4 |pool_size1
2 |5 |pool_size2
5 |4 |stride_size0
3 |1 |stride_size1
3 |4 |stride_size2
0.2 |0.4 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0079s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0079s). Check your callbacks.
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 13.810349464416504
Best val_loss So Far: 12.461581230163574
Total elapsed time: 00h 01m 43s
{'n_layers': 4, 'filter_unit0': 256, 'filter_unit1': 32, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 2, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 4, 'pool_size1': 4, 'pool_size2': 5, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 4, 'stride_size3': 4, 'dropout0': 0.4, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 5.0458
4/4 [==============================] - ETA: 0s - loss: 4.2869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 37ms/step - loss: 4.2869 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.5533 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.7195 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.5706 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.5579 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1845 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1177 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2722 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2812 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2625 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8836 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1640 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8495 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7381 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5736 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0423 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6313 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8300 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6167 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7016 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4543 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5046 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5945 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2848 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4412 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7438 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5371 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4366 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5067 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4378 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4962 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2329 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3185 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1956 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4773 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3032 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4017 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3786 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4230 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2021 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3738 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5465 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5718 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2517 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3065 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2705 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3917 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3119 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1177 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1631 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2330 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1781 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3598 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2505 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9912 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3719 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2285 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8726 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1415 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9347 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2190 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1237 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9892 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9357 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1417 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3016 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9874 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9388 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1229 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0239 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0888 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8855 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9194 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1301 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8616 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9605 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8044 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8535 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2253 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8691 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0476 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9560 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7541 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0420 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9768 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9162 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9734 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0301 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0440 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9308 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0252 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8748 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8579 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9095 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6621 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7600 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6379 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6899 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8438 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8756 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7610 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5966 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8338 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8052 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7673 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8229 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7328 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8226 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8344 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7126 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6045 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9442 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7491 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7230 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6945 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8564 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7518 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7133 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8928 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6240 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8781 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8978 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8355 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7185 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7254 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7068 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9297 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7360 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7689 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7152 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8864 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6846 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7555 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7095 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7697 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8666 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6224 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8276 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6274 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6533 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6939 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7919 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7248 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8867 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6405 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8218 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8094 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8054 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7329 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8350 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6116 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6507 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6494 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6862 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8131 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8114 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9911 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6720 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7786 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7978 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6709 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9056 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6748 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7031 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7204 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5608 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5697 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5929 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6213 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7985 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7692 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8630 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5739 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7008 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7901 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9152 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0279 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7719 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6050 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6071 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8342 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7217 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7472 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8304 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8803 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7274 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8523 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8053 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8270 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5589 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6833 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9531 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6126 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6503 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6058 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6471 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7407 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8421 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8540 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7523 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 256, 'filter_unit1': 32, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 2, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 4, 'pool_size1': 4, 'pool_size2': 5, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 4, 'stride_size3': 4, 'dropout0': 0.4, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.2}
1/31 [..............................] - ETA: 12s
14/31 [============>.................] - ETA: 0s
27/31 [=========================>....] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 1s 6ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
397 Pilot03 0 linreg ... -1.062268 -0.003063 0.923792
398 Pilot03 0 linreg ... -1.300774 0.024953 0.435701
399 Pilot03 0 linreg ... -0.470018 0.047434 0.138253
400 Pilot03 0 linreg ... -0.145140 0.059677 0.062102
401 Pilot03 1 cnn1d ... -1.407072 -0.120138 0.000166
[402 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35916, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
1 |1 |kernel_size0
3 |3 |kernel_size1
4 |4 |kernel_size2
2 |2 |pool_size0
5 |5 |pool_size1
1 |1 |pool_size2
5 |5 |stride_size0
4 |4 |stride_size1
4 |4 |stride_size2
0 |0 |dropout0
0.4 |0.4 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 16.412639617919922
Best val_loss So Far: 16.412639617919922
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |64 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
256 |None |filter_unit3
5 |1 |kernel_size0
4 |3 |kernel_size1
1 |4 |kernel_size2
3 |None |kernel_size3
2 |2 |pool_size0
2 |5 |pool_size1
3 |1 |pool_size2
3 |None |pool_size3
3 |5 |stride_size0
2 |4 |stride_size1
1 |4 |stride_size2
2 |None |stride_size3
0 |0 |dropout0
0.2 |0.4 |dropout1
0.3 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 08s]
val_loss: 16.17003059387207
Best val_loss So Far: 16.17003059387207
Total elapsed time: 00h 00m 13s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |128 |filter_unit0
64 |64 |filter_unit1
32 |64 |filter_unit2
5 |5 |kernel_size0
3 |4 |kernel_size1
4 |1 |kernel_size2
2 |2 |pool_size0
4 |2 |pool_size1
4 |3 |pool_size2
2 |3 |stride_size0
5 |2 |stride_size1
2 |1 |stride_size2
0.4 |0 |dropout0
0 |0.2 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 08s]
val_loss: 16.98106575012207
Best val_loss So Far: 16.17003059387207
Total elapsed time: 00h 00m 21s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
32 |64 |filter_unit2
128 |256 |filter_unit3
2 |5 |kernel_size0
1 |4 |kernel_size1
5 |1 |kernel_size2
1 |3 |kernel_size3
1 |2 |pool_size0
1 |2 |pool_size1
5 |3 |pool_size2
2 |3 |pool_size3
1 |3 |stride_size0
4 |2 |stride_size1
3 |1 |stride_size2
3 |2 |stride_size3
0.3 |0 |dropout0
0.3 |0.2 |dropout1
0 |0.3 |dropout2
0.3 |0.2 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 16.0451602935791
Best val_loss So Far: 16.0451602935791
Total elapsed time: 00h 00m 28s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
64 |64 |filter_unit1
32 |32 |filter_unit2
128 |128 |filter_unit3
64 |None |filter_unit4
3 |2 |kernel_size0
3 |1 |kernel_size1
1 |5 |kernel_size2
1 |1 |kernel_size3
3 |None |kernel_size4
4 |1 |pool_size0
3 |1 |pool_size1
3 |5 |pool_size2
4 |2 |pool_size3
5 |None |pool_size4
2 |1 |stride_size0
5 |4 |stride_size1
4 |3 |stride_size2
2 |3 |stride_size3
2 |None |stride_size4
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
0.3 |0 |dropout2
0.3 |0.3 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 15.9318265914917
Best val_loss So Far: 15.9318265914917
Total elapsed time: 00h 00m 33s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |64 |filter_unit0
128 |64 |filter_unit1
32 |32 |filter_unit2
256 |128 |filter_unit3
4 |3 |kernel_size0
4 |3 |kernel_size1
4 |1 |kernel_size2
4 |1 |kernel_size3
1 |4 |pool_size0
1 |3 |pool_size1
3 |3 |pool_size2
5 |4 |pool_size3
1 |2 |stride_size0
3 |5 |stride_size1
1 |4 |stride_size2
4 |2 |stride_size3
0.1 |0.3 |dropout0
0.3 |0.3 |dropout1
0.1 |0.3 |dropout2
0.2 |0.3 |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 15.978499412536621
Best val_loss So Far: 15.9318265914917
Total elapsed time: 00h 00m 39s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
32 |32 |filter_unit2
128 |128 |filter_unit3
256 |64 |filter_unit4
4 |3 |kernel_size0
1 |3 |kernel_size1
5 |1 |kernel_size2
5 |1 |kernel_size3
4 |3 |kernel_size4
1 |4 |pool_size0
5 |3 |pool_size1
1 |3 |pool_size2
2 |4 |pool_size3
1 |5 |pool_size4
5 |2 |stride_size0
5 |5 |stride_size1
5 |4 |stride_size2
1 |2 |stride_size3
3 |2 |stride_size4
0.4 |0.3 |dropout0
0.2 |0.3 |dropout1
0.1 |0.3 |dropout2
0.3 |0.3 |dropout3
0.4 |0.1 |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 16.250537872314453
Best val_loss So Far: 15.9318265914917
Total elapsed time: 00h 00m 46s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |64 |filter_unit0
2 |3 |kernel_size0
3 |4 |pool_size0
5 |2 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 15.88934326171875
Best val_loss So Far: 15.88934326171875
Total elapsed time: 00h 00m 50s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
5 |2 |kernel_size0
5 |None |kernel_size1
4 |3 |pool_size0
1 |None |pool_size1
1 |5 |stride_size0
1 |None |stride_size1
0.1 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 16.857982635498047
Best val_loss So Far: 15.88934326171875
Total elapsed time: 00h 00m 55s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
3 |2 |kernel_size0
5 |3 |pool_size0
4 |5 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 15.787869453430176
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 00m 59s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
1 |3 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
2 |5 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
1 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
0.2 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 16.161815643310547
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 05s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
32 |None |filter_unit1
1 |3 |kernel_size0
4 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
4 |4 |stride_size0
1 |None |stride_size1
0.1 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 16.46254539489746
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 08s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
5 |3 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
3 |5 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
3 |4 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0 |0.3 |dropout0
0 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.351198196411133
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 14s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |256 |filter_unit0
1 |3 |kernel_size0
4 |5 |pool_size0
1 |4 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 15.92986011505127
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 17s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
5 |3 |kernel_size0
1 |None |kernel_size1
3 |5 |pool_size0
1 |None |pool_size1
2 |4 |stride_size0
5 |None |stride_size1
0.4 |0.3 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 16.85291862487793
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 20s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
4 |3 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |4 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0.4 |0.3 |dropout0
0 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 16.28279685974121
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 24s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
2 |3 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |5 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |4 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0 |0.3 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 16.395421981811523
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 28s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |3 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |5 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
4 |4 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.4 |0.3 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 16.03874397277832
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 33s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |256 |filter_unit0
1 |3 |kernel_size0
4 |5 |pool_size0
3 |4 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 16.235219955444336
Best val_loss So Far: 15.787869453430176
Total elapsed time: 00h 01m 36s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
3 |3 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |5 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0 |0.3 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 15.076192855834961
Best val_loss So Far: 15.076192855834961
Total elapsed time: 00h 01m 39s
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 32, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 5, 'pool_size0': 4, 'pool_size1': 3, 'pool_size2': 5, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.0, 'dropout1': 0.30000000000000004, 'dropout2': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 17.8091
4/4 [==============================] - ETA: 0s - loss: 18.2494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 32ms/step - loss: 18.2494 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 17.6031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 17.4207 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 17.4316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 16.7623 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 16.1287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 16.1729 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 15.2238 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.7676 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 15.7403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.2296 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 13.5543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.5208 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.8710 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.2273 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.7463 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.2219 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5982 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7924 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.5936 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.8969 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.5724 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.6976 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1028 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7619 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0297 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5885 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3551 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1479 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7323 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3407 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5087 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3856 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9989 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0133 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6164 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4396 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7709 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7292 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4924 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3342 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5184 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1940 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1473 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2231 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2566 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1161 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3597 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6703 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7782 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7131 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0018 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1007 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9560 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3486 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9104 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7228 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8377 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6875 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8338 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5415 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5628 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8492 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8386 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7564 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6649 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6844 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4293 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5129 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4779 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6402 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3135 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6961 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5162 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3380 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3113 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3285 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4543 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4182 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3842 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7914 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0846 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3041 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3842 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2400 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2975 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3493 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0312 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2251 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0916 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1899 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4451 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1517 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2227 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3206 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3784 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0648 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2699 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2809 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0380 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1520 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2122 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9267 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0901 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1851 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1615 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8923 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9563 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0791 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2038 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0470 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1254 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2498 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9097 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9700 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9207 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2249 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1825 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1795 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1608 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8523 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0733 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2417 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0947 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0842 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0861 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1886 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0606 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1448 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8346 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9758 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2184 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0993 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0990 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1376 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0180 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8957 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1118 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0781 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1923 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2733 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9814 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2436 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1484 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1294 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9431 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0974 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8525 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1075 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9261 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2109 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8515 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0570 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2596 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1124 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9658 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0550 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1578 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8959 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0250 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2527 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0372 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0805 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7575 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0429 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8959 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1814 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2064 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1055 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0312 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9415 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1798 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3895 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9225 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0156 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8100 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2468 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0841 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9741 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1948 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1526 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0692 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0028 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0877 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9770 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0903 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9917 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1317 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0488 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2284 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1744 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8382 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8831 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3895 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1780 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1197 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2764 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1513 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0132 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1515 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9775 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.1524 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2046 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9816 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0617 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 32, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 5, 'pool_size0': 4, 'pool_size1': 3, 'pool_size2': 5, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.0, 'dropout1': 0.30000000000000004, 'dropout2': 0.2}
1/31 [..............................] - ETA: 8s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
398 Pilot03 0 linreg ... -1.300774 0.024953 0.435701
399 Pilot03 0 linreg ... -0.470018 0.047434 0.138253
400 Pilot03 0 linreg ... -0.145140 0.059677 0.062102
401 Pilot03 1 cnn1d ... -1.407072 -0.120138 0.000166
402 Pilot03 1 cnn1d ... -7.427649 -0.045211 0.157716
[403 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
4 |4 |kernel_size0
4 |4 |kernel_size1
4 |4 |kernel_size2
4 |4 |pool_size0
3 |3 |pool_size1
4 |4 |pool_size2
4 |4 |stride_size0
2 |2 |stride_size1
5 |5 |stride_size2
0.3 |0.3 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 18.082849502563477
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |32 |filter_unit0
128 |32 |filter_unit1
128 |128 |filter_unit2
64 |None |filter_unit3
1 |4 |kernel_size0
1 |4 |kernel_size1
4 |4 |kernel_size2
1 |None |kernel_size3
5 |4 |pool_size0
4 |3 |pool_size1
5 |4 |pool_size2
3 |None |pool_size3
1 |4 |stride_size0
1 |2 |stride_size1
1 |5 |stride_size2
1 |None |stride_size3
0.3 |0.3 |dropout0
0.4 |0.2 |dropout1
0.1 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 18.897512435913086
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
256 |32 |filter_unit1
128 |128 |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
4 |4 |kernel_size0
3 |4 |kernel_size1
3 |4 |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
4 |4 |pool_size0
3 |3 |pool_size1
1 |4 |pool_size2
3 |None |pool_size3
3 |None |pool_size4
4 |4 |stride_size0
1 |2 |stride_size1
3 |5 |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
0.1 |0.3 |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 07s]
val_loss: 18.756427764892578
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 17s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
2 |4 |kernel_size0
4 |4 |pool_size0
4 |4 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.159814834594727
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |32 |filter_unit0
128 |32 |filter_unit1
256 |128 |filter_unit2
3 |4 |kernel_size0
2 |4 |kernel_size1
3 |4 |kernel_size2
3 |4 |pool_size0
1 |3 |pool_size1
1 |4 |pool_size2
2 |4 |stride_size0
4 |2 |stride_size1
2 |5 |stride_size2
0.3 |0.3 |dropout0
0.4 |0.2 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.094099044799805
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 24s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
5 |4 |kernel_size0
2 |4 |pool_size0
1 |4 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.765840530395508
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
256 |32 |filter_unit1
3 |4 |kernel_size0
5 |4 |kernel_size1
5 |4 |pool_size0
3 |3 |pool_size1
4 |4 |stride_size0
2 |2 |stride_size1
0.2 |0.3 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 18.77634620666504
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |32 |filter_unit0
64 |32 |filter_unit1
2 |4 |kernel_size0
1 |4 |kernel_size1
5 |4 |pool_size0
5 |3 |pool_size1
1 |4 |stride_size0
3 |2 |stride_size1
0.2 |0.3 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 18.91039276123047
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
128 |32 |filter_unit1
128 |128 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
2 |4 |kernel_size1
2 |4 |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
5 |4 |pool_size0
4 |3 |pool_size1
5 |4 |pool_size2
1 |None |pool_size3
2 |None |pool_size4
5 |4 |stride_size0
3 |2 |stride_size1
1 |5 |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0 |0.3 |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 18.91999053955078
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |32 |filter_unit0
32 |32 |filter_unit1
64 |128 |filter_unit2
4 |4 |kernel_size0
3 |4 |kernel_size1
1 |4 |kernel_size2
3 |4 |pool_size0
1 |3 |pool_size1
1 |4 |pool_size2
2 |4 |stride_size0
5 |2 |stride_size1
4 |5 |stride_size2
0.3 |0.3 |dropout0
0.1 |0.2 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.036306381225586
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 44s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |32 |filter_unit0
2 |4 |kernel_size0
4 |4 |pool_size0
4 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 02s]
val_loss: 21.412277221679688
Best val_loss So Far: 18.082849502563477
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
1 |4 |kernel_size0
1 |4 |pool_size0
5 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 17.043832778930664
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 00m 49s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
5 |1 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |1 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
2 |5 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0 |0.1 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 18.73959732055664
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 00m 53s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |1 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
4 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |5 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0.1 |0.1 |dropout0
0.4 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.228883743286133
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 00m 58s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |1 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |5 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.1 |0.1 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 07s]
val_loss: 18.395872116088867
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |1 |kernel_size0
4 |1 |pool_size0
4 |5 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 19.506240844726562
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
2 |1 |kernel_size0
3 |1 |pool_size0
1 |5 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 18.195175170898438
Best val_loss So Far: 17.043832778930664
Total elapsed time: 00h 01m 10s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
4 |1 |kernel_size0
1 |1 |pool_size0
3 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 16.077285766601562
Best val_loss So Far: 16.077285766601562
Total elapsed time: 00h 01m 13s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
4 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
1 |None |kernel_size4
3 |1 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
1 |3 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.1 |0 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 18.969348907470703
Best val_loss So Far: 16.077285766601562
Total elapsed time: 00h 01m 19s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
3 |4 |kernel_size0
4 |1 |pool_size0
2 |3 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 02s]
val_loss: 17.61712074279785
Best val_loss So Far: 16.077285766601562
Total elapsed time: 00h 01m 21s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 3, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 16.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 11ms/step - loss: 16.6710 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 17.4508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.5548 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.4235 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.2936 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 16.6156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.1766 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.0413 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.9076 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 16.1082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.7849 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.6556 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.5256 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.4103 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.2786 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 16.1265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.1490 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.0269 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.9018 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.7732 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 16.8006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.6467 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 14.3710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.5189 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.3920 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.2754 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.1422 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.0066 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.8824 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.7635 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.6246 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.4895 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.3598 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.2238 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.0849 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.9572 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.8220 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.6905 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.5638 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.4207 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.2750 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.1370 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.9889 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.8490 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.7125 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.5640 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.4257 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.2752 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.1207 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 11.5444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.9588 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.8056 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.6537 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.4977 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.3423 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.1677 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.0022 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.8446 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.6807 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.4974 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.3309 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.1647 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.9805 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.7874 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.6199 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.4424 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.2600 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.0650 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8794 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.7027 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.5081 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3512 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.1635 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0304 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8562 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6701 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5496 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4396 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3063 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2032 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.0897 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9526 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8535 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.7506 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6570 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.5373 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4863 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3805 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2826 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2413 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1559 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1054 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0644 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9580 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9569 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9199 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8611 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8650 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8139 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7905 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7097 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6679 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6894 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6737 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6719 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6295 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6139 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6155 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5418 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5340 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4745 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4786 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5061 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4831 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5032 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4658 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4705 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6308WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4136 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4461 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4563 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4366 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4229 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4507 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4506 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4077 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4220 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4002 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4297 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4266 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3932 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4257 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4109 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3792 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3716 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4168 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3776 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3996 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4145 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3876 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3898 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4047 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4000 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3929 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4030 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3600 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4144 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4248 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3925 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4027 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3589 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3800 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4354 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4149 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4472 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4078 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4090 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4302 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3991 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4054 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4138 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3980 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3738 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3833 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4109 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4128 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3777 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4023 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3626 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4142 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4083 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4112 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3915 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3835 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3709 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3943 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4051 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3545 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3927 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4318 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3733 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3769 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4312 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4100 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4024 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4341 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4227 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4089 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3832 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4180 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3951 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4019 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4040 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4091 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3980 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3852 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4114 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3855 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3971 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3704 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4108 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4116 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3644 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4508 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3540 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3820 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4013 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3911 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 3, 'dropout0': 0.0}
1/31 [..............................] - ETA: 3s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
399 Pilot03 0 linreg ... -0.470018 0.047434 0.138253
400 Pilot03 0 linreg ... -0.145140 0.059677 0.062102
401 Pilot03 1 cnn1d ... -1.407072 -0.120138 0.000166
402 Pilot03 1 cnn1d ... -7.427649 -0.045211 0.157716
403 Pilot03 1 cnn1d ... -1.120542 -0.045969 0.150860
[404 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-17.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
4 |4 |kernel_size0
2 |2 |kernel_size1
4 |4 |pool_size0
3 |3 |pool_size1
1 |1 |stride_size0
2 |2 |stride_size1
0.2 |0.2 |dropout0
0.3 |0.3 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 17.013286590576172
Best val_loss So Far: 17.013286590576172
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |256 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
5 |4 |kernel_size0
5 |2 |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
5 |4 |pool_size0
1 |3 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |None |pool_size4
3 |1 |stride_size0
5 |2 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.2 |0.2 |dropout0
0 |0.3 |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 16.831907272338867
Best val_loss So Far: 16.831907272338867
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
32 |256 |filter_unit1
32 |128 |filter_unit2
64 |32 |filter_unit3
64 |128 |filter_unit4
1 |5 |kernel_size0
2 |5 |kernel_size1
4 |2 |kernel_size2
2 |4 |kernel_size3
1 |2 |kernel_size4
2 |5 |pool_size0
4 |1 |pool_size1
2 |1 |pool_size2
5 |3 |pool_size3
5 |2 |pool_size4
1 |3 |stride_size0
5 |5 |stride_size1
5 |1 |stride_size2
1 |5 |stride_size3
2 |4 |stride_size4
0.3 |0.2 |dropout0
0 |0 |dropout1
0.1 |0.1 |dropout2
0.2 |0.1 |dropout3
0 |0.4 |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 16.979936599731445
Best val_loss So Far: 16.831907272338867
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |256 |filter_unit0
64 |256 |filter_unit1
128 |128 |filter_unit2
2 |5 |kernel_size0
5 |5 |kernel_size1
3 |2 |kernel_size2
2 |5 |pool_size0
4 |1 |pool_size1
5 |1 |pool_size2
1 |3 |stride_size0
5 |5 |stride_size1
2 |1 |stride_size2
0.2 |0.2 |dropout0
0.4 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 17.236127853393555
Best val_loss So Far: 16.831907272338867
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |256 |filter_unit0
4 |5 |kernel_size0
2 |5 |pool_size0
2 |3 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 17.3828182220459
Best val_loss So Far: 16.831907272338867
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |256 |filter_unit0
4 |5 |kernel_size0
4 |5 |pool_size0
5 |3 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 17.187349319458008
Best val_loss So Far: 16.831907272338867
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |256 |filter_unit0
256 |256 |filter_unit1
3 |5 |kernel_size0
4 |5 |kernel_size1
5 |5 |pool_size0
1 |1 |pool_size1
1 |3 |stride_size0
3 |5 |stride_size1
0.3 |0.2 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 15.190116882324219
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |128 |filter_unit0
256 |256 |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
5 |4 |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
3 |1 |pool_size1
5 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
2 |1 |stride_size0
2 |3 |stride_size1
4 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |0.1 |dropout1
0.4 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 16.905282974243164
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
1 |4 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
5 |5 |pool_size0
1 |1 |pool_size1
5 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
5 |1 |stride_size0
5 |3 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0 |0.1 |dropout1
0 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 16.824899673461914
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |128 |filter_unit0
32 |256 |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
2 |3 |kernel_size0
4 |4 |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
2 |5 |pool_size0
5 |1 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |1 |stride_size0
3 |3 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.1 |0.3 |dropout0
0.1 |0.1 |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 16.886831283569336
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |128 |filter_unit0
64 |256 |filter_unit1
2 |3 |kernel_size0
2 |4 |kernel_size1
2 |5 |pool_size0
4 |1 |pool_size1
4 |1 |stride_size0
5 |3 |stride_size1
0 |0.3 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 17.239286422729492
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
32 |128 |filter_unit0
5 |3 |kernel_size0
2 |5 |pool_size0
5 |1 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 02s]
val_loss: 19.493316650390625
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |128 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |3 |kernel_size0
2 |4 |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |5 |pool_size0
4 |1 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
5 |None |pool_size4
2 |1 |stride_size0
4 |3 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0 |0.3 |dropout0
0.1 |0.1 |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.737924575805664
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |128 |filter_unit0
32 |256 |filter_unit1
128 |None |filter_unit2
4 |3 |kernel_size0
2 |4 |kernel_size1
5 |None |kernel_size2
4 |5 |pool_size0
4 |1 |pool_size1
1 |None |pool_size2
3 |1 |stride_size0
3 |3 |stride_size1
1 |None |stride_size2
0 |0.3 |dropout0
0.3 |0.1 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 17.7161808013916
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |128 |filter_unit0
1 |3 |kernel_size0
2 |5 |pool_size0
1 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 16.359708786010742
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |128 |filter_unit0
32 |256 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |3 |kernel_size0
2 |4 |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
3 |5 |pool_size0
1 |1 |pool_size1
5 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |1 |stride_size0
3 |3 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.3 |dropout0
0.1 |0.1 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 16.746570587158203
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
32 |256 |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
4 |4 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
5 |1 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
2 |1 |stride_size0
3 |3 |stride_size1
5 |None |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0.3 |0.1 |dropout1
0.1 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 07s]
val_loss: 16.74015998840332
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 19s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |128 |filter_unit0
64 |256 |filter_unit1
4 |3 |kernel_size0
3 |4 |kernel_size1
5 |5 |pool_size0
2 |1 |pool_size1
5 |1 |stride_size0
5 |3 |stride_size1
0 |0.3 |dropout0
0 |0.1 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 16.973718643188477
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 22s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
32 |256 |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
3 |3 |kernel_size0
2 |4 |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
5 |None |kernel_size4
1 |5 |pool_size0
2 |1 |pool_size1
5 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
2 |3 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.3 |0.3 |dropout0
0.3 |0.1 |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 16.8590030670166
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 29s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |128 |filter_unit0
32 |256 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |3 |kernel_size0
5 |4 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
3 |5 |pool_size0
4 |1 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
4 |1 |stride_size0
2 |3 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
0.1 |0.3 |dropout0
0.1 |0.1 |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 16.55461311340332
Best val_loss So Far: 15.190116882324219
Total elapsed time: 00h 01m 34s
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 256, 'kernel_size0': 3, 'kernel_size1': 4, 'pool_size0': 5, 'pool_size1': 1, 'stride_size0': 1, 'stride_size1': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 5.6792
4/4 [==============================] - ETA: 0s - loss: 5.3361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 50ms/step - loss: 5.3361 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 4.5245 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 4.3010 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.7363 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.5466 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.4388 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.8322 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.0608 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.7019 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.9100 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.5464 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.7663 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.5221 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.6177 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.3937 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.3195 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.5991 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1174 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.2391 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0810 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.2712 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.4705 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1099 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1355 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2751
4/4 [==============================] - ETA: 0s - loss: 2.0098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0098 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.2043 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0226 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0772 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1054 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8808 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.9229 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8951 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.9062 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7699 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.9010 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8527 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7829 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1647 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8993 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6475 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8812 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0247
4/4 [==============================] - ETA: 0s - loss: 1.7764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7764 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.9699 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0247 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8216 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7654 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7908 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7825 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0547 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6232 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3206
4/4 [==============================] - ETA: 0s - loss: 1.5973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5973 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4674 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5060 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5754 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5781 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8307 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8228 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5156 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5369 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8090 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5983 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5547 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4505 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4819 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4661 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7058 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7365 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8166 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6063 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5651 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6123 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5546 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6190 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7880 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6735 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5419 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5631 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5567 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3849 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5057 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5050 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1560 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4552 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3677 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2761 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3784 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4067 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4593
4/4 [==============================] - ETA: 0s - loss: 1.4326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 1.4326 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3665 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5318 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2744 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3991 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3292 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3481 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5572 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3715 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4523 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3358 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3679 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4440 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3150 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2452 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2859 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2162 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4133 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4424 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3753 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4560
4/4 [==============================] - ETA: 0s - loss: 1.5439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5439 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2530 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2382 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2158 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3727 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4120 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2842 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2936 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3755 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2927 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3930 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4397 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.6368 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2122 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3687 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3831 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2340 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3865 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1903 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4231 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3187 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5013 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1803 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3821 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2399 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2486 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3475 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3993 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2514 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2565 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2851 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1306 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1985 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3531 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3346 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5881 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3395 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0729 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2087 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3269 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2921 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4317 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3224 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3362 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3854 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2858 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3746 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3173 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1556
4/4 [==============================] - ETA: 0s - loss: 1.3038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3038 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1510 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2816 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4777 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0982 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2644 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5418 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0093
4/4 [==============================] - ETA: 0s - loss: 1.2986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2986 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7417
4/4 [==============================] - ETA: 0s - loss: 1.3954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3954 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2728 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2491 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2715 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3745 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3060 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2624
4/4 [==============================] - ETA: 0s - loss: 1.2956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2956 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3597 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0824
4/4 [==============================] - ETA: 0s - loss: 1.0593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0593 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3924 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2955 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4396 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2922 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0221
4/4 [==============================] - ETA: 0s - loss: 1.3325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3325 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3827 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2617 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2829 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1659 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4196 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3305 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2635 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2049 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4034 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4355 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2762 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1621 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3177 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2286
4/4 [==============================] - ETA: 0s - loss: 1.4520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4520 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3600 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.5342 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.2402 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3140 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3360 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1736 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4154 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3879 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.3312 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 256, 'kernel_size0': 3, 'kernel_size1': 4, 'pool_size0': 5, 'pool_size1': 1, 'stride_size0': 1, 'stride_size1': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.1}
1/31 [..............................] - ETA: 6s
11/31 [=========>....................] - ETA: 0s
21/31 [===================>..........] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 7ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
400 Pilot03 0 linreg ... -0.145140 0.059677 0.062102
401 Pilot03 1 cnn1d ... -1.407072 -0.120138 0.000166
402 Pilot03 1 cnn1d ... -7.427649 -0.045211 0.157716
403 Pilot03 1 cnn1d ... -1.120542 -0.045969 0.150860
404 Pilot03 1 cnn1d ... -4.314986 -0.023851 0.456254
[405 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
4 |4 |kernel_size0
4 |4 |pool_size0
5 |5 |stride_size0
0.3 |0.3 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.273574829101562
Best val_loss So Far: 19.273574829101562
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
4 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
1 |5 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
0.2 |0.3 |dropout0
0.4 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.81306266784668
Best val_loss So Far: 19.273574829101562
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
4 |4 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
2 |5 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
0.4 |0.3 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.09239387512207
Best val_loss So Far: 19.09239387512207
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
128 |32 |filter_unit1
256 |32 |filter_unit2
64 |None |filter_unit3
4 |4 |kernel_size0
2 |1 |kernel_size1
1 |5 |kernel_size2
1 |None |kernel_size3
5 |4 |pool_size0
2 |3 |pool_size1
1 |3 |pool_size2
4 |None |pool_size3
4 |2 |stride_size0
1 |2 |stride_size1
5 |2 |stride_size2
4 |None |stride_size3
0.3 |0.4 |dropout0
0 |0.2 |dropout1
0 |0.4 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.19359016418457
Best val_loss So Far: 19.09239387512207
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
2 |4 |kernel_size0
4 |1 |kernel_size1
3 |4 |pool_size0
1 |3 |pool_size1
2 |2 |stride_size0
2 |2 |stride_size1
0.1 |0.4 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.673778533935547
Best val_loss So Far: 19.09239387512207
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |64 |filter_unit0
3 |4 |kernel_size0
5 |4 |pool_size0
1 |2 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 17.877904891967773
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
3 |3 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
5 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
4 |1 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0 |0.1 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.101398468017578
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
2 |3 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
5 |5 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
2 |1 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.1 |0.1 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 18.712047576904297
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
2 |3 |kernel_size0
1 |None |kernel_size1
3 |5 |pool_size0
2 |None |pool_size1
2 |1 |stride_size0
4 |None |stride_size1
0.2 |0.1 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.446470260620117
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
3 |3 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
3 |5 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
3 |1 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0.2 |0.1 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 19.073593139648438
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
1 |3 |kernel_size0
3 |5 |pool_size0
3 |1 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 18.81772232055664
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
4 |3 |kernel_size0
1 |None |kernel_size1
1 |5 |pool_size0
5 |None |pool_size1
4 |1 |stride_size0
5 |None |stride_size1
0 |0.1 |dropout0
0 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.91425132751465
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
5 |3 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
2 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
1 |1 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
0 |0.1 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 18.84396743774414
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 54s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |128 |filter_unit0
64 |None |filter_unit1
3 |3 |kernel_size0
3 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
3 |1 |stride_size0
5 |None |stride_size1
0.3 |0.1 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.673057556152344
Best val_loss So Far: 17.877904891967773
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
2 |3 |kernel_size0
5 |5 |pool_size0
1 |1 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 02s]
val_loss: 17.701305389404297
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 00m 59s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
2 |2 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
3 |5 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
5 |1 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
0.1 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 18.981609344482422
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 01m 04s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
5 |5 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
3 |1 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0 |0.4 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.317028045654297
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 01m 10s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
1 |2 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
5 |5 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |1 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
0 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 19.138330459594727
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 01m 14s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
64 |None |filter_unit1
3 |2 |kernel_size0
1 |None |kernel_size1
1 |5 |pool_size0
1 |None |pool_size1
4 |1 |stride_size0
5 |None |stride_size1
0.4 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 18.388513565063477
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 01m 17s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
5 |2 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
1 |5 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
3 |1 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 18.398548126220703
Best val_loss So Far: 17.701305389404297
Total elapsed time: 00h 01m 23s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 6.4271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 11ms/step - loss: 5.6585 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4013 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3082 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3471 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1157 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0804 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1659 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8848 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8784 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8204 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8488 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7258 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7524 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6530 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6401 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5927 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7523 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5581 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6168 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6203 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5434 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5594 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5588 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3846 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4541 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5103 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4031 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3336 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4212 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4043 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4259 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3953 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3313 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3379 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3426 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3837 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2934 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2334 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2600 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2859 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1969 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1501 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1446 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1350 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1575 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2771 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1553 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0753 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1206 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3524 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1090 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0906 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1403 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0340 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0535 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0283 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1243 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1260 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1239 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0610 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9584 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0721 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9501 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9412 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0618 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8679 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9357 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9292 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8055 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8829 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9991 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9581 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8168 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9640 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8819 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8641 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8632 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8341 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9321 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8687 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8661 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9002 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7791 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8696 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7850 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7672 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8937 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7644 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6841 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7751 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7615 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6485 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7809 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7157 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6223 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7185 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6462 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7102 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7041 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7413 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7014 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5869 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7380 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6209 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6527 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7291 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5282 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9075 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6516 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5603 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6362 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7137 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6990 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5585 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6366 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6935 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5939 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7349 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7257 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7281 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5792 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6884 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6212 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6164 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5244 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5813 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6287 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6214 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6527 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6686 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6502 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6277 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5203 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5938 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5764 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6745 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6587 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6992 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5945 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6092 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5825 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5016 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6276 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6299 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5238 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7647 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6326 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6376 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6946 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6012 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6230 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5805 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8896 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6372 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5372 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6238 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5904 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5290 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5738 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5452 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5500 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6058 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6334 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5875 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6031 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5983 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5304 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6075 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5686 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6881 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6925 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6422 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7090 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6754 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5635 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6350 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8071 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7358 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6494 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8025 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6650 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5821 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7095 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6280 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5452 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6457 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5688 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5867 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7398 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5611 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7061 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6368 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5740 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6995 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6750 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7685 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6220 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7362 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6148 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5124 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.4}
1/31 [..............................] - ETA: 3s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
401 Pilot03 1 cnn1d ... -1.407072 -0.120138 0.000166
402 Pilot03 1 cnn1d ... -7.427649 -0.045211 0.157716
403 Pilot03 1 cnn1d ... -1.120542 -0.045969 0.150860
404 Pilot03 1 cnn1d ... -4.314986 -0.023851 0.456254
405 Pilot03 1 cnn1d ... -1.876272 -0.121108 0.000147
[406 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
64 |64 |filter_unit2
3 |3 |kernel_size0
2 |2 |kernel_size1
2 |2 |kernel_size2
1 |1 |pool_size0
3 |3 |pool_size1
2 |2 |pool_size2
5 |5 |stride_size0
3 |3 |stride_size1
2 |2 |stride_size2
0 |0 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 19.967727661132812
Best val_loss So Far: 19.967727661132812
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |128 |filter_unit0
256 |32 |filter_unit1
32 |64 |filter_unit2
2 |3 |kernel_size0
3 |2 |kernel_size1
1 |2 |kernel_size2
5 |1 |pool_size0
3 |3 |pool_size1
5 |2 |pool_size2
3 |5 |stride_size0
3 |3 |stride_size1
5 |2 |stride_size2
0.2 |0 |dropout0
0 |0.2 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.819360733032227
Best val_loss So Far: 19.819360733032227
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |64 |filter_unit0
256 |256 |filter_unit1
3 |2 |kernel_size0
1 |3 |kernel_size1
4 |5 |pool_size0
3 |3 |pool_size1
1 |3 |stride_size0
4 |3 |stride_size1
0.4 |0.2 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 20.306161880493164
Best val_loss So Far: 19.819360733032227
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |64 |filter_unit0
32 |256 |filter_unit1
128 |32 |filter_unit2
1 |2 |kernel_size0
5 |3 |kernel_size1
1 |1 |kernel_size2
4 |5 |pool_size0
3 |3 |pool_size1
4 |5 |pool_size2
1 |3 |stride_size0
3 |3 |stride_size1
5 |5 |stride_size2
0.2 |0.2 |dropout0
0 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 20.303525924682617
Best val_loss So Far: 19.819360733032227
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |64 |filter_unit0
256 |256 |filter_unit1
128 |32 |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
4 |2 |kernel_size0
3 |3 |kernel_size1
3 |1 |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
4 |5 |pool_size0
2 |3 |pool_size1
3 |5 |pool_size2
3 |None |pool_size3
2 |None |pool_size4
2 |3 |stride_size0
4 |3 |stride_size1
2 |5 |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.3 |0 |dropout1
0.2 |0.1 |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 07s]
val_loss: 19.29599952697754
Best val_loss So Far: 19.29599952697754
Total elapsed time: 00h 00m 24s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
64 |256 |filter_unit1
128 |128 |filter_unit2
2 |4 |kernel_size0
1 |3 |kernel_size1
5 |3 |kernel_size2
2 |4 |pool_size0
5 |2 |pool_size1
5 |3 |pool_size2
1 |2 |stride_size0
2 |4 |stride_size1
5 |2 |stride_size2
0.1 |0.1 |dropout0
0.3 |0.3 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.77846908569336
Best val_loss So Far: 19.29599952697754
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |128 |filter_unit0
256 |256 |filter_unit1
32 |128 |filter_unit2
64 |256 |filter_unit3
4 |4 |kernel_size0
3 |3 |kernel_size1
5 |3 |kernel_size2
3 |2 |kernel_size3
3 |4 |pool_size0
5 |2 |pool_size1
3 |3 |pool_size2
5 |3 |pool_size3
2 |2 |stride_size0
1 |4 |stride_size1
3 |2 |stride_size2
5 |3 |stride_size3
0 |0.1 |dropout0
0.1 |0.3 |dropout1
0.2 |0.2 |dropout2
0.3 |0.2 |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 20.01206398010254
Best val_loss So Far: 19.29599952697754
Total elapsed time: 00h 00m 34s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |128 |filter_unit0
3 |4 |kernel_size0
2 |4 |pool_size0
3 |2 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.397645950317383
Best val_loss So Far: 19.29599952697754
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |128 |filter_unit0
128 |256 |filter_unit1
32 |128 |filter_unit2
32 |256 |filter_unit3
32 |32 |filter_unit4
4 |4 |kernel_size0
4 |3 |kernel_size1
1 |3 |kernel_size2
4 |2 |kernel_size3
2 |3 |kernel_size4
3 |4 |pool_size0
1 |2 |pool_size1
4 |3 |pool_size2
3 |3 |pool_size3
3 |2 |pool_size4
1 |2 |stride_size0
4 |4 |stride_size1
4 |2 |stride_size2
4 |3 |stride_size3
3 |2 |stride_size4
0.1 |0.1 |dropout0
0.2 |0.3 |dropout1
0.2 |0.2 |dropout2
0 |0.2 |dropout3
0.1 |0.2 |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 19.80293846130371
Best val_loss So Far: 19.29599952697754
Total elapsed time: 00h 00m 43s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |128 |filter_unit0
1 |4 |kernel_size0
5 |4 |pool_size0
1 |2 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 02s]
val_loss: 17.35089111328125
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 00m 45s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
2 |1 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
2 |5 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
2 |None |pool_size4
1 |1 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.2 |0 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.460081100463867
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |1 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
2 |5 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
5 |1 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
0 |0 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.502111434936523
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |1 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
2 |5 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
5 |1 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0.2 |0 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.548601150512695
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 00s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
1 |1 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
4 |1 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
0.3 |0 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.689186096191406
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
2 |1 |kernel_size0
3 |None |kernel_size1
1 |5 |pool_size0
2 |None |pool_size1
5 |1 |stride_size0
5 |None |stride_size1
0 |0 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.903615951538086
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 08s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
2 |1 |kernel_size0
3 |5 |pool_size0
4 |1 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 21.75152587890625
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 10s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
1 |1 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
2 |5 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
4 |None |pool_size4
1 |1 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0 |0 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 08s]
val_loss: 19.523107528686523
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
1 |1 |kernel_size0
5 |5 |pool_size0
5 |1 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 20.103960037231445
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 21s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
1 |1 |kernel_size0
2 |5 |pool_size0
2 |1 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 21.66596031188965
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 23s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
1 |1 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |5 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
3 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
4 |None |stride_size3
0.4 |0 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.96419334411621
Best val_loss So Far: 17.35089111328125
Total elapsed time: 00h 01m 28s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 1, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 14.1042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 10ms/step - loss: 13.0492 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.9954 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.8838 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.7835 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.7045 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.6100 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.5467 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.4561 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.3628 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.2776 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.1889 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.1160 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.0211 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.9489 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.8490 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.7689 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.7243 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.6049 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.5226 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.4247 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.3502 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.2698 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.1833 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.1060 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.0073 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.9212 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.8494 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.7628 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.6743 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.5974 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.5101 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.4202 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.3505 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.2785 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.1810 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.1000 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.0227 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.9727 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.8662 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.8162 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.7478 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.6574 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.5931 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.5248 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.4309 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.3662 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.2959 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.2347 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.1500 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.0919 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.0087 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.9499 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.8894 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.8269 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.7558 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.6790 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.6211 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.5477 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.4591 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.3885 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.3377 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.2712 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.2061 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.1207 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.0680 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.9861 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.9392 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8900 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8312 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.7779 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.7271 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6995 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.6372 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.5540 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.5190 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.4801 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.4225 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3902 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3099 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.2804 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.2510 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.2068 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.1644 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.1281 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.1073 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0251 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0348 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.9809 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.9388 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.9142 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8361 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8588 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8026 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8080 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8040 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.7271 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6779 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6983 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6534 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6529 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5174 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5707 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5714 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5370 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5081 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4808 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4796 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4726 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4651 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4713 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4288 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4262 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4015 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4535 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3975 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3519 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3841 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3745 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3656 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3384 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3785 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3725 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3882 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3430 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3204 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3429 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3546 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3482 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3438 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3522 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3575 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3447 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3074 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2953 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3728 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3643 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3369 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3556 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3516 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3643 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3231 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3696 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3309 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3562 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3062 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3551 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3396 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2923 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3374 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3315 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3325 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3735 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3530 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3342 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3363 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3260 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3610 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3503 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3663 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3063 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3321 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3304 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3344 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3371 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3803 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3469 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3418 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3046 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3734 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3309 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3714 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3069 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3124 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3410 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3131 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3360 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3582 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3063 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2822 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3276 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3283 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3176 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3246 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3488 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3760 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3207 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3316 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3711 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3297 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3405 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3403 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3450 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3431 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3769 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3492 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3573 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3457 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3376 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3539 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3642 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 1, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.0}
1/31 [..............................] - ETA: 4s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
402 Pilot03 1 cnn1d ... -7.427649 -0.045211 0.157716
403 Pilot03 1 cnn1d ... -1.120542 -0.045969 0.150860
404 Pilot03 1 cnn1d ... -4.314986 -0.023851 0.456254
405 Pilot03 1 cnn1d ... -1.876272 -0.121108 0.000147
406 Pilot03 1 cnn1d ... -1.837758 -0.024872 0.437186
[407 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-12.0-15.0-17.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
5 |5 |kernel_size0
5 |5 |kernel_size1
1 |1 |pool_size0
4 |4 |pool_size1
4 |4 |stride_size0
5 |5 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 16.953990936279297
Best val_loss So Far: 16.953990936279297
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
64 |64 |filter_unit1
3 |5 |kernel_size0
4 |5 |kernel_size1
3 |1 |pool_size0
5 |4 |pool_size1
1 |4 |stride_size0
1 |5 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 16.909833908081055
Best val_loss So Far: 16.909833908081055
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
64 |None |filter_unit2
3 |3 |kernel_size0
1 |4 |kernel_size1
1 |None |kernel_size2
3 |3 |pool_size0
1 |5 |pool_size1
2 |None |pool_size2
4 |1 |stride_size0
2 |1 |stride_size1
1 |None |stride_size2
0 |0.3 |dropout0
0.3 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 16.283666610717773
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
32 |64 |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
1 |3 |kernel_size0
4 |1 |kernel_size1
3 |1 |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
3 |3 |pool_size0
1 |1 |pool_size1
3 |2 |pool_size2
4 |None |pool_size3
5 |None |pool_size4
3 |4 |stride_size0
1 |2 |stride_size1
3 |1 |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.3 |0 |dropout0
0.1 |0.3 |dropout1
0.4 |0.3 |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 16.67842674255371
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
64 |64 |filter_unit2
5 |3 |kernel_size0
2 |1 |kernel_size1
1 |1 |kernel_size2
5 |3 |pool_size0
3 |1 |pool_size1
1 |2 |pool_size2
2 |4 |stride_size0
5 |2 |stride_size1
3 |1 |stride_size2
0.1 |0 |dropout0
0.2 |0.3 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 16.45240592956543
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |64 |filter_unit0
256 |128 |filter_unit1
32 |64 |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
5 |3 |kernel_size0
5 |1 |kernel_size1
3 |1 |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
3 |1 |pool_size1
1 |2 |pool_size2
2 |None |pool_size3
2 |None |pool_size4
3 |4 |stride_size0
3 |2 |stride_size1
1 |1 |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0 |dropout0
0.4 |0.3 |dropout1
0.2 |0.3 |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 16.768169403076172
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 29s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
128 |128 |filter_unit1
32 |64 |filter_unit2
256 |None |filter_unit3
5 |3 |kernel_size0
5 |1 |kernel_size1
5 |1 |kernel_size2
4 |None |kernel_size3
3 |3 |pool_size0
1 |1 |pool_size1
2 |2 |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
5 |2 |stride_size1
2 |1 |stride_size2
5 |None |stride_size3
0.3 |0 |dropout0
0.1 |0.3 |dropout1
0.4 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 16.707826614379883
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 35s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
32 |64 |filter_unit2
256 |None |filter_unit3
4 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
3 |None |kernel_size3
5 |3 |pool_size0
3 |1 |pool_size1
3 |2 |pool_size2
5 |None |pool_size3
5 |4 |stride_size0
5 |2 |stride_size1
3 |1 |stride_size2
3 |None |stride_size3
0 |0 |dropout0
0.1 |0.3 |dropout1
0 |0.3 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 17.011735916137695
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 40s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
1 |3 |kernel_size0
2 |1 |kernel_size1
3 |3 |pool_size0
4 |1 |pool_size1
3 |4 |stride_size0
1 |2 |stride_size1
0.2 |0 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 16.528135299682617
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
32 |128 |filter_unit1
128 |64 |filter_unit2
256 |None |filter_unit3
4 |3 |kernel_size0
1 |1 |kernel_size1
1 |1 |kernel_size2
1 |None |kernel_size3
2 |3 |pool_size0
2 |1 |pool_size1
1 |2 |pool_size2
2 |None |pool_size3
3 |4 |stride_size0
5 |2 |stride_size1
4 |1 |stride_size2
3 |None |stride_size3
0.1 |0 |dropout0
0.2 |0.3 |dropout1
0.3 |0.3 |dropout2
0 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 16.890111923217773
Best val_loss So Far: 16.283666610717773
Total elapsed time: 00h 00m 49s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |64 |filter_unit0
1 |3 |kernel_size0
2 |3 |pool_size0
4 |4 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 16.075462341308594
Best val_loss So Far: 16.075462341308594
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
3 |1 |kernel_size0
5 |2 |pool_size0
5 |4 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 02s]
val_loss: 17.67203712463379
Best val_loss So Far: 16.075462341308594
Total elapsed time: 00h 00m 54s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
1 |1 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
3 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
1 |4 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 15.955032348632812
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
32 |256 |filter_unit1
64 |32 |filter_unit2
64 |128 |filter_unit3
256 |64 |filter_unit4
1 |1 |kernel_size0
4 |5 |kernel_size1
2 |3 |kernel_size2
5 |1 |kernel_size3
3 |4 |kernel_size4
2 |3 |pool_size0
1 |1 |pool_size1
2 |3 |pool_size2
2 |4 |pool_size3
1 |5 |pool_size4
1 |1 |stride_size0
4 |5 |stride_size1
3 |4 |stride_size2
5 |1 |stride_size3
2 |3 |stride_size4
0.3 |0 |dropout0
0.3 |0 |dropout1
0.3 |0.2 |dropout2
0.1 |0.4 |dropout3
0.2 |0.4 |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 16.75259017944336
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
2 |1 |kernel_size0
2 |3 |pool_size0
2 |1 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 16.172639846801758
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 10s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
128 |256 |filter_unit1
32 |32 |filter_unit2
1 |1 |kernel_size0
5 |5 |kernel_size1
3 |3 |kernel_size2
5 |3 |pool_size0
3 |1 |pool_size1
1 |3 |pool_size2
5 |1 |stride_size0
1 |5 |stride_size1
2 |4 |stride_size2
0.2 |0 |dropout0
0.1 |0 |dropout1
0.4 |0.2 |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 16.831953048706055
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 15s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |128 |filter_unit0
256 |256 |filter_unit1
5 |1 |kernel_size0
3 |5 |kernel_size1
5 |3 |pool_size0
5 |1 |pool_size1
2 |1 |stride_size0
5 |5 |stride_size1
0.2 |0 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 16.223339080810547
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |128 |filter_unit0
32 |256 |filter_unit1
2 |1 |kernel_size0
1 |5 |kernel_size1
2 |3 |pool_size0
5 |1 |pool_size1
3 |1 |stride_size0
2 |5 |stride_size1
0.4 |0 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 17.865306854248047
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 21s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
128 |256 |filter_unit1
128 |32 |filter_unit2
32 |128 |filter_unit3
1 |1 |kernel_size0
1 |5 |kernel_size1
4 |3 |kernel_size2
2 |1 |kernel_size3
2 |3 |pool_size0
4 |1 |pool_size1
2 |3 |pool_size2
2 |4 |pool_size3
5 |1 |stride_size0
5 |5 |stride_size1
4 |4 |stride_size2
3 |1 |stride_size3
0 |0 |dropout0
0 |0 |dropout1
0.3 |0.2 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 16.979042053222656
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 26s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
4 |1 |kernel_size0
1 |3 |pool_size0
2 |1 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 17.351186752319336
Best val_loss So Far: 15.955032348632812
Total elapsed time: 00h 01m 29s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 256, 'filter_unit2': 32, 'filter_unit3': 128, 'filter_unit4': 64, 'kernel_size0': 1, 'kernel_size1': 5, 'kernel_size2': 3, 'kernel_size3': 1, 'kernel_size4': 4, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 1, 'stride_size1': 5, 'stride_size2': 4, 'stride_size3': 1, 'stride_size4': 3, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.2, 'dropout3': 0.4, 'dropout4': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 11s - loss: 14.8815
4/4 [==============================] - ETA: 0s - loss: 15.6636 WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 4s 105ms/step - loss: 15.6636 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 14.8203
4/4 [==============================] - ETA: 0s - loss: 14.9126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 14.9126 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9684
4/4 [==============================] - ETA: 0s - loss: 13.7031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 13.7031 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3322
4/4 [==============================] - ETA: 0s - loss: 12.4801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 12.4801 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1224
4/4 [==============================] - ETA: 0s - loss: 11.7004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 11.7004 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8226
4/4 [==============================] - ETA: 0s - loss: 10.3416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 10.3416 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7785
4/4 [==============================] - ETA: 0s - loss: 9.7461 WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 9.7461 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3058
4/4 [==============================] - ETA: 0s - loss: 9.1376 WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 9.1376 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1521
4/4 [==============================] - ETA: 0s - loss: 7.9989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 7.9989 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0059
4/4 [==============================] - ETA: 0s - loss: 7.1526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 7.1526 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8183
4/4 [==============================] - ETA: 0s - loss: 6.9226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 6.9226 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2185
4/4 [==============================] - ETA: 0s - loss: 6.2255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 6.2255 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2356
4/4 [==============================] - ETA: 0s - loss: 6.2558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 6.2558 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1056
4/4 [==============================] - ETA: 0s - loss: 5.4056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 5.4056 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3967
4/4 [==============================] - ETA: 0s - loss: 5.3664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 5.3664 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4636
4/4 [==============================] - ETA: 0s - loss: 4.9544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 4.9544 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5250
4/4 [==============================] - ETA: 0s - loss: 4.4248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 4.4248 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4071
4/4 [==============================] - ETA: 0s - loss: 4.7924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 4.7924 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8421
4/4 [==============================] - ETA: 0s - loss: 4.0852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 4.0852 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9359
4/4 [==============================] - ETA: 0s - loss: 3.7826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 3.7826 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1218
4/4 [==============================] - ETA: 0s - loss: 3.5439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.5439 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4865
4/4 [==============================] - ETA: 0s - loss: 3.5897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.5897 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0460
4/4 [==============================] - ETA: 0s - loss: 3.2811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.2811 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8811
4/4 [==============================] - ETA: 0s - loss: 3.5211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.5211 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1623
4/4 [==============================] - ETA: 0s - loss: 3.5568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.5568 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0232
4/4 [==============================] - ETA: 0s - loss: 3.0987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0987 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4777
4/4 [==============================] - ETA: 0s - loss: 3.4117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 3.4117 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5655
4/4 [==============================] - ETA: 0s - loss: 3.3391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.3391 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1665
4/4 [==============================] - ETA: 0s - loss: 3.3661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 3.3661 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1841
4/4 [==============================] - ETA: 0s - loss: 3.0933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0933 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1762
4/4 [==============================] - ETA: 0s - loss: 3.0676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0676 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8465
4/4 [==============================] - ETA: 0s - loss: 3.0502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0502 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0382
4/4 [==============================] - ETA: 0s - loss: 3.1074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 3.1074 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0807
4/4 [==============================] - ETA: 0s - loss: 2.7435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7435 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1248
4/4 [==============================] - ETA: 0s - loss: 3.0902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0902 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7813
4/4 [==============================] - ETA: 0s - loss: 3.1028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.1028 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6826
4/4 [==============================] - ETA: 0s - loss: 2.6883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.6883 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6021
4/4 [==============================] - ETA: 0s - loss: 2.8849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8849 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6024
4/4 [==============================] - ETA: 0s - loss: 2.8739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8739 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9486
4/4 [==============================] - ETA: 0s - loss: 2.8400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8400 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6722
4/4 [==============================] - ETA: 0s - loss: 3.2519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.2519 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4472
4/4 [==============================] - ETA: 0s - loss: 3.0344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0344 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3503
4/4 [==============================] - ETA: 0s - loss: 2.4907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.4907 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4669
4/4 [==============================] - ETA: 0s - loss: 2.8514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8514 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2019
4/4 [==============================] - ETA: 0s - loss: 2.8666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.8666 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6299
4/4 [==============================] - ETA: 0s - loss: 2.8322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8322 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8576
4/4 [==============================] - ETA: 0s - loss: 2.7272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7272 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7292
4/4 [==============================] - ETA: 0s - loss: 2.7230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7230 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6369
4/4 [==============================] - ETA: 0s - loss: 2.4567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4567 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8153
4/4 [==============================] - ETA: 0s - loss: 2.8320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8320 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9940
4/4 [==============================] - ETA: 0s - loss: 2.7188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7188 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6345
4/4 [==============================] - ETA: 0s - loss: 2.5954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.5954 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3517
4/4 [==============================] - ETA: 0s - loss: 3.0337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 3.0337 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8097
4/4 [==============================] - ETA: 0s - loss: 2.7702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7702 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3826
4/4 [==============================] - ETA: 0s - loss: 2.5630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.5630 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2277
4/4 [==============================] - ETA: 0s - loss: 2.5663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.5663 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3451
4/4 [==============================] - ETA: 0s - loss: 2.5542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.5542 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6022
4/4 [==============================] - ETA: 0s - loss: 2.6543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.6543 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3394
4/4 [==============================] - ETA: 0s - loss: 2.4907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.4907 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9125
4/4 [==============================] - ETA: 0s - loss: 2.4630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4630 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5529
4/4 [==============================] - ETA: 0s - loss: 3.0072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.0072 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6636
4/4 [==============================] - ETA: 0s - loss: 2.2700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2700 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1255
4/4 [==============================] - ETA: 0s - loss: 2.6534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.6534 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5665
4/4 [==============================] - ETA: 0s - loss: 2.8752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.8752 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3930
4/4 [==============================] - ETA: 0s - loss: 2.2158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2158 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9212
4/4 [==============================] - ETA: 0s - loss: 2.3869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3869 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1822
4/4 [==============================] - ETA: 0s - loss: 2.2876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2876 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2093
4/4 [==============================] - ETA: 0s - loss: 2.6582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.6582 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7675
4/4 [==============================] - ETA: 0s - loss: 2.4322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4322 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6987
4/4 [==============================] - ETA: 0s - loss: 2.4024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4024 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4516
4/4 [==============================] - ETA: 0s - loss: 2.4158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.4158 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4367
4/4 [==============================] - ETA: 0s - loss: 2.4834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4834 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6035
4/4 [==============================] - ETA: 0s - loss: 2.3847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3847 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5809
4/4 [==============================] - ETA: 0s - loss: 2.5363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.5363 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5576
4/4 [==============================] - ETA: 0s - loss: 2.1679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1679 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9402
4/4 [==============================] - ETA: 0s - loss: 2.5681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.5681 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9834
4/4 [==============================] - ETA: 0s - loss: 1.9917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9917 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2277
4/4 [==============================] - ETA: 0s - loss: 2.6123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.6123 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9576
4/4 [==============================] - ETA: 0s - loss: 2.1679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1679 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1123
4/4 [==============================] - ETA: 0s - loss: 2.2950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2950 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1799
4/4 [==============================] - ETA: 0s - loss: 2.7901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.7901 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5907
4/4 [==============================] - ETA: 0s - loss: 2.0420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0420 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4289
4/4 [==============================] - ETA: 0s - loss: 2.4412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4412 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5120
4/4 [==============================] - ETA: 0s - loss: 2.4016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4016 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1932
4/4 [==============================] - ETA: 0s - loss: 2.3094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3094 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9317
4/4 [==============================] - ETA: 0s - loss: 1.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9981 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1908
4/4 [==============================] - ETA: 0s - loss: 2.2291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2291 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6865
4/4 [==============================] - ETA: 0s - loss: 2.3167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3167 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2530
4/4 [==============================] - ETA: 0s - loss: 2.2106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2106 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3366
4/4 [==============================] - ETA: 0s - loss: 2.1383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1383 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3450
4/4 [==============================] - ETA: 0s - loss: 2.0332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0332 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5544
4/4 [==============================] - ETA: 0s - loss: 2.3466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3466 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6549
4/4 [==============================] - ETA: 0s - loss: 1.9185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9185 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2578
4/4 [==============================] - ETA: 0s - loss: 2.0585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0585 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7405
4/4 [==============================] - ETA: 0s - loss: 1.7849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.7849 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1889
4/4 [==============================] - ETA: 0s - loss: 2.1887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1887 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4220
4/4 [==============================] - ETA: 0s - loss: 2.3228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3228 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8645
4/4 [==============================] - ETA: 0s - loss: 2.1786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1786 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2484
4/4 [==============================] - ETA: 0s - loss: 2.3797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3797 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3078
4/4 [==============================] - ETA: 0s - loss: 2.0428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0428 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0545
4/4 [==============================] - ETA: 0s - loss: 2.1485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1485 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0378
4/4 [==============================] - ETA: 0s - loss: 2.0647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0647 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2501
4/4 [==============================] - ETA: 0s - loss: 2.1534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.1534 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8507
4/4 [==============================] - ETA: 0s - loss: 2.0216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0216 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6384
4/4 [==============================] - ETA: 0s - loss: 2.0460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0460 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4375
4/4 [==============================] - ETA: 0s - loss: 2.1938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1938 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8077
4/4 [==============================] - ETA: 0s - loss: 2.1043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1043 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0312
4/4 [==============================] - ETA: 0s - loss: 1.9920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9920 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4646
4/4 [==============================] - ETA: 0s - loss: 1.8676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8676 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3472
4/4 [==============================] - ETA: 0s - loss: 2.2985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2985 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9302
4/4 [==============================] - ETA: 0s - loss: 2.2578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2578 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7600
4/4 [==============================] - ETA: 0s - loss: 2.1941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1941 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7553
4/4 [==============================] - ETA: 0s - loss: 1.8940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8940 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2095
4/4 [==============================] - ETA: 0s - loss: 2.0019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0019 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2287
4/4 [==============================] - ETA: 0s - loss: 2.1120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1120 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6690
4/4 [==============================] - ETA: 0s - loss: 1.9484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 1.9484 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0031
4/4 [==============================] - ETA: 0s - loss: 2.1546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1546 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9523
4/4 [==============================] - ETA: 0s - loss: 2.2683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2683 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3550
4/4 [==============================] - ETA: 0s - loss: 2.0837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.0837 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5753
4/4 [==============================] - ETA: 0s - loss: 2.0298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.0298 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9436
4/4 [==============================] - ETA: 0s - loss: 1.9200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9200 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1722
4/4 [==============================] - ETA: 0s - loss: 2.0814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0814 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6971
4/4 [==============================] - ETA: 0s - loss: 2.0424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0424 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1002
4/4 [==============================] - ETA: 0s - loss: 2.2548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2548 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1887
4/4 [==============================] - ETA: 0s - loss: 2.3526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3526 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1549
4/4 [==============================] - ETA: 0s - loss: 2.3636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.3636 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1301
4/4 [==============================] - ETA: 0s - loss: 2.1982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.1982 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7992
4/4 [==============================] - ETA: 0s - loss: 1.9359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9359 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2520
4/4 [==============================] - ETA: 0s - loss: 1.9371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9371 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0159
4/4 [==============================] - ETA: 0s - loss: 2.0328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0328 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7623
4/4 [==============================] - ETA: 0s - loss: 1.7183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.7183 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6834
4/4 [==============================] - ETA: 0s - loss: 1.8114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8114 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6678
4/4 [==============================] - ETA: 0s - loss: 2.2227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2227 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1674
4/4 [==============================] - ETA: 0s - loss: 2.1065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1065 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5417
4/4 [==============================] - ETA: 0s - loss: 2.3010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3010 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9019
4/4 [==============================] - ETA: 0s - loss: 1.9881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9881 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0395
4/4 [==============================] - ETA: 0s - loss: 2.1502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1502 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1051
4/4 [==============================] - ETA: 0s - loss: 2.0166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0166 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7321
4/4 [==============================] - ETA: 0s - loss: 1.8515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8515 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9349
4/4 [==============================] - ETA: 0s - loss: 2.2260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2260 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1796
4/4 [==============================] - ETA: 0s - loss: 2.1059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1059 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0700
4/4 [==============================] - ETA: 0s - loss: 2.1021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1021 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8107
4/4 [==============================] - ETA: 0s - loss: 1.9541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9541 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0345
4/4 [==============================] - ETA: 0s - loss: 1.7449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.7449 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4423
4/4 [==============================] - ETA: 0s - loss: 2.2204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2204 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6404
4/4 [==============================] - ETA: 0s - loss: 1.8910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8910 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7593
4/4 [==============================] - ETA: 0s - loss: 2.1416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1416 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5459
4/4 [==============================] - ETA: 0s - loss: 2.1839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1839 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2835
4/4 [==============================] - ETA: 0s - loss: 2.0772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0772 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3571
4/4 [==============================] - ETA: 0s - loss: 2.1483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1483 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7720
4/4 [==============================] - ETA: 0s - loss: 2.1235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1235 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3506
4/4 [==============================] - ETA: 0s - loss: 2.2078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2078 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2400
4/4 [==============================] - ETA: 0s - loss: 2.1917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1917 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8327
4/4 [==============================] - ETA: 0s - loss: 1.9854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9854 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2396
4/4 [==============================] - ETA: 0s - loss: 2.1615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1615 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0785
4/4 [==============================] - ETA: 0s - loss: 2.0813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0813 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1522
4/4 [==============================] - ETA: 0s - loss: 2.1405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1405 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8722
4/4 [==============================] - ETA: 0s - loss: 2.1644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1644 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7240
4/4 [==============================] - ETA: 0s - loss: 2.1981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1981 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1176
4/4 [==============================] - ETA: 0s - loss: 2.1204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1204 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8776
4/4 [==============================] - ETA: 0s - loss: 2.0115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0115 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9337
4/4 [==============================] - ETA: 0s - loss: 1.8314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8314 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9770
4/4 [==============================] - ETA: 0s - loss: 2.0628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0628 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4281
4/4 [==============================] - ETA: 0s - loss: 2.0831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0831 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5744
4/4 [==============================] - ETA: 0s - loss: 2.1270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1270 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9547
4/4 [==============================] - ETA: 0s - loss: 2.1969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1969 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0526
4/4 [==============================] - ETA: 0s - loss: 2.0283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0283 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3187
4/4 [==============================] - ETA: 0s - loss: 2.3331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3331 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7268
4/4 [==============================] - ETA: 0s - loss: 2.1037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1037 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5177
4/4 [==============================] - ETA: 0s - loss: 2.2543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2543 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6231
4/4 [==============================] - ETA: 0s - loss: 2.4096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.4096 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0014
4/4 [==============================] - ETA: 0s - loss: 2.0275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.0275 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3404
4/4 [==============================] - ETA: 0s - loss: 2.3108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3108 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0900
4/4 [==============================] - ETA: 0s - loss: 2.2385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2385 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4436
4/4 [==============================] - ETA: 0s - loss: 2.1307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1307 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1556
4/4 [==============================] - ETA: 0s - loss: 1.8222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8222 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9452
4/4 [==============================] - ETA: 0s - loss: 2.1266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1266 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7365
4/4 [==============================] - ETA: 0s - loss: 2.2335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2335 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2085
4/4 [==============================] - ETA: 0s - loss: 1.9646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9646 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1143
4/4 [==============================] - ETA: 0s - loss: 2.0134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0134 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0070
4/4 [==============================] - ETA: 0s - loss: 1.9158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9158 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3412
4/4 [==============================] - ETA: 0s - loss: 2.3391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3391 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9797
4/4 [==============================] - ETA: 0s - loss: 1.9999WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9999 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9482
4/4 [==============================] - ETA: 0s - loss: 2.1126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1126 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2636
4/4 [==============================] - ETA: 0s - loss: 2.0177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0177 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5888
4/4 [==============================] - ETA: 0s - loss: 2.0481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0481 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5541
4/4 [==============================] - ETA: 0s - loss: 2.1795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1795 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7324
4/4 [==============================] - ETA: 0s - loss: 2.0917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0917 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2282
4/4 [==============================] - ETA: 0s - loss: 2.2125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2125 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0542
4/4 [==============================] - ETA: 0s - loss: 1.9389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9389 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9488
4/4 [==============================] - ETA: 0s - loss: 1.9614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9614 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7416
4/4 [==============================] - ETA: 0s - loss: 2.0893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0893 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2066
4/4 [==============================] - ETA: 0s - loss: 1.9998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 1.9998 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1479
4/4 [==============================] - ETA: 0s - loss: 1.9252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9252 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0114
4/4 [==============================] - ETA: 0s - loss: 2.0119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0119 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3387
4/4 [==============================] - ETA: 0s - loss: 2.2136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.2136 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8307
4/4 [==============================] - ETA: 0s - loss: 2.0280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.0280 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2189
4/4 [==============================] - ETA: 0s - loss: 2.1278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.1278 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5940
4/4 [==============================] - ETA: 0s - loss: 1.9750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.9750 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8753
4/4 [==============================] - ETA: 0s - loss: 1.8779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8779 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 256, 'filter_unit2': 32, 'filter_unit3': 128, 'filter_unit4': 64, 'kernel_size0': 1, 'kernel_size1': 5, 'kernel_size2': 3, 'kernel_size3': 1, 'kernel_size4': 4, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 1, 'stride_size1': 5, 'stride_size2': 4, 'stride_size3': 1, 'stride_size4': 3, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.2, 'dropout3': 0.4, 'dropout4': 0.4}
1/31 [..............................] - ETA: 14s
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28/31 [==========================>...] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 1s 8ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
403 Pilot03 1 cnn1d ... -1.120542 -0.045969 0.150860
404 Pilot03 1 cnn1d ... -4.314986 -0.023851 0.456254
405 Pilot03 1 cnn1d ... -1.876272 -0.121108 0.000147
406 Pilot03 1 cnn1d ... -1.837758 -0.024872 0.437186
407 Pilot03 1 cnn1d ... -5.557592 0.004437 0.889779
[408 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-12.0-15.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
1 |1 |kernel_size0
4 |4 |kernel_size1
2 |2 |pool_size0
2 |2 |pool_size1
4 |4 |stride_size0
3 |3 |stride_size1
0.4 |0.4 |dropout0
0.1 |0.1 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 19.533702850341797
Best val_loss So Far: 19.533702850341797
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
128 |256 |filter_unit1
4 |1 |kernel_size0
5 |4 |kernel_size1
5 |2 |pool_size0
3 |2 |pool_size1
3 |4 |stride_size0
4 |3 |stride_size1
0.1 |0.4 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.52379035949707
Best val_loss So Far: 19.533702850341797
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
32 |256 |filter_unit1
4 |1 |kernel_size0
4 |4 |kernel_size1
3 |2 |pool_size0
5 |2 |pool_size1
3 |4 |stride_size0
1 |3 |stride_size1
0.3 |0.4 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 17.74423599243164
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 10s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
64 |32 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
2 |4 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
2 |None |kernel_size4
2 |3 |pool_size0
1 |5 |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
4 |3 |stride_size0
5 |1 |stride_size1
4 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.19016456604004
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |128 |filter_unit0
128 |32 |filter_unit1
4 |4 |kernel_size0
1 |4 |kernel_size1
3 |3 |pool_size0
3 |5 |pool_size1
2 |3 |stride_size0
4 |1 |stride_size1
0.3 |0.3 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 18.47342872619629
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |128 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
1 |4 |kernel_size0
5 |4 |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |3 |pool_size0
3 |5 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
2 |1 |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.2 |0.3 |dropout0
0.4 |0.3 |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 18.981149673461914
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |128 |filter_unit0
128 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
1 |4 |kernel_size0
3 |4 |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
1 |3 |pool_size0
2 |5 |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |3 |stride_size0
4 |1 |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0.4 |0.3 |dropout0
0.2 |0.3 |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.123947143554688
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |128 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
3 |4 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
5 |3 |pool_size0
4 |5 |pool_size1
1 |None |pool_size2
2 |3 |stride_size0
1 |1 |stride_size1
2 |None |stride_size2
0 |0.3 |dropout0
0.4 |0.3 |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.357328414916992
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |128 |filter_unit0
256 |32 |filter_unit1
4 |4 |kernel_size0
2 |4 |kernel_size1
5 |3 |pool_size0
2 |5 |pool_size1
1 |3 |stride_size0
1 |1 |stride_size1
0.2 |0.3 |dropout0
0.4 |0.3 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.38758659362793
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |128 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
3 |4 |kernel_size0
2 |4 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
5 |3 |pool_size0
2 |5 |pool_size1
4 |None |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
1 |1 |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.1 |0.3 |dropout0
0 |0.3 |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 18.491477966308594
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |128 |filter_unit0
64 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
4 |4 |kernel_size0
1 |4 |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
4 |3 |pool_size0
3 |5 |pool_size1
4 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
1 |3 |stride_size0
1 |1 |stride_size1
2 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0 |0.3 |dropout0
0 |0.3 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 07s]
val_loss: 19.29245948791504
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 54s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |128 |filter_unit0
1 |4 |kernel_size0
1 |3 |pool_size0
5 |3 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.462202072143555
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |128 |filter_unit0
256 |32 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |4 |kernel_size0
3 |4 |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
3 |5 |pool_size1
1 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
2 |3 |stride_size0
5 |1 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.3 |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 19.234834671020508
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 04s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |128 |filter_unit0
32 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
3 |4 |kernel_size0
3 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |3 |pool_size0
4 |5 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |3 |stride_size0
2 |1 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.1 |0.3 |dropout0
0.4 |0.3 |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 18.660524368286133
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 09s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |128 |filter_unit0
1 |4 |kernel_size0
5 |3 |pool_size0
1 |3 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 18.451669692993164
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 12s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |128 |filter_unit0
32 |32 |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
4 |3 |pool_size0
4 |5 |pool_size1
4 |None |pool_size2
1 |3 |stride_size0
4 |1 |stride_size1
4 |None |stride_size2
0 |0.3 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.254968643188477
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 16s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
1 |4 |kernel_size0
1 |4 |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
5 |3 |pool_size0
4 |5 |pool_size1
2 |None |pool_size2
2 |None |pool_size3
1 |3 |stride_size0
3 |1 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.1 |0.3 |dropout0
0 |0.3 |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 18.992267608642578
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |128 |filter_unit0
128 |32 |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
2 |4 |kernel_size0
1 |4 |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
2 |3 |pool_size0
3 |5 |pool_size1
5 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
4 |3 |stride_size0
5 |1 |stride_size1
2 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.4 |0.3 |dropout1
0.1 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 18.76601791381836
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 28s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |128 |filter_unit0
256 |32 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |4 |kernel_size0
4 |4 |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
3 |5 |pool_size1
4 |None |pool_size2
1 |None |pool_size3
5 |None |pool_size4
2 |3 |stride_size0
5 |1 |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.3 |0.3 |dropout0
0.4 |0.3 |dropout1
0 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.31134033203125
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 34s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |128 |filter_unit0
64 |32 |filter_unit1
128 |None |filter_unit2
3 |4 |kernel_size0
2 |4 |kernel_size1
3 |None |kernel_size2
1 |3 |pool_size0
3 |5 |pool_size1
3 |None |pool_size2
2 |3 |stride_size0
5 |1 |stride_size1
5 |None |stride_size2
0.4 |0.3 |dropout0
0 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 18.89655876159668
Best val_loss So Far: 17.74423599243164
Total elapsed time: 00h 01m 39s
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 32, 'kernel_size0': 4, 'kernel_size1': 4, 'pool_size0': 3, 'pool_size1': 5, 'stride_size0': 3, 'stride_size1': 1, 'dropout0': 0.30000000000000004, 'dropout1': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 12.1980
4/4 [==============================] - ETA: 0s - loss: 11.0462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 24ms/step - loss: 11.0462 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 10.3732 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 9.3601 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 9.2938 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 8.5179 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 8.0349 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.6099 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 7.3321 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.7876 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.3149 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.1864 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.8370 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2805 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5753 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.8436 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0460 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7305 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.5085 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5954 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7546 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5237 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4599 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2622 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1761 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3201 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2136 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1539 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2277 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9411 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9982 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6620 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2877WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8815 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7703 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3354 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2573 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.8738 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4940 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3885 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.5916 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.4166 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.5692 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.4655 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3736 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1147 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0504 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2833 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4677 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2165 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1128 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9719 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2071 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6541 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3293 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2016 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2896 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8963 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9614 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.0815 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2037 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9969 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0017 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.0982 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0253 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0283 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0919 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8963 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.9934 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7734 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0032 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5245 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9391 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8903 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6258 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7894 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7534 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5333 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6576 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9509 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4124 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9750 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0564 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0476 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5434 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9624 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7118 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6472 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8252 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7393 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6850 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5952 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4085 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5279 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1622 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7566 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5033 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3735 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6949 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8091 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7251 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3833 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4512 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3329 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6990 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6195 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5034 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3718 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3408 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3975 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2979 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5180 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5553 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5610 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5986 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5472 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2196 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6521 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4817 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4196 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6505 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3168 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4196 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3428 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3847 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4576 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6251 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4625 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1855 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3806 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4340 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5512 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2076 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4550 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4134 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3188 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5602 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4103 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3587 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6381 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4598 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7110 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4875 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4068 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0875 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7438 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4471 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3596 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1339 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4114 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8999WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3598 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3682 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2503 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4091 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4227 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7197 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5131 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4995 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4648 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3998 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3979 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4771 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9967 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4077 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3269 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4235 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2496 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2962 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4443 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2178 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4380 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3200 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2671 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5158 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6862 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5219 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0397 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4360 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3140 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4949 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1606 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2207 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2671 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5361 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3843 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4605 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8554 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5999 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3217 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4654 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3135 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3302 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5913 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4145 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5747 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4792 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3224 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3760 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4525 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4134 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4173 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1336 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 32, 'kernel_size0': 4, 'kernel_size1': 4, 'pool_size0': 3, 'pool_size1': 5, 'stride_size0': 3, 'stride_size1': 1, 'dropout0': 0.30000000000000004, 'dropout1': 0.30000000000000004}
1/31 [..............................] - ETA: 6s
26/31 [========================>.....] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
404 Pilot03 1 cnn1d ... -4.314986 -0.023851 0.456254
405 Pilot03 1 cnn1d ... -1.876272 -0.121108 0.000147
406 Pilot03 1 cnn1d ... -1.837758 -0.024872 0.437186
407 Pilot03 1 cnn1d ... -5.557592 0.004437 0.889779
408 Pilot03 1 cnn1d ... -4.322164 0.012380 0.698984
[409 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-12.0-17.0-20.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
5 |5 |kernel_size0
1 |1 |pool_size0
4 |4 |stride_size0
0.2 |0.2 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 18.761098861694336
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
5 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
4 |4 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
0.2 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.952051162719727
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
5 |1 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.1 |0.2 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.88642692565918
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
4 |5 |kernel_size0
4 |None |kernel_size1
3 |1 |pool_size0
3 |None |pool_size1
5 |4 |stride_size0
2 |None |stride_size1
0.2 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.804750442504883
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |5 |kernel_size0
1 |1 |pool_size0
2 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.293859481811523
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
4 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
5 |1 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
5 |4 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.2 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 19.766056060791016
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
4 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
5 |None |pool_size4
5 |4 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.2 |0.2 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 20.05418586730957
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |5 |kernel_size0
5 |1 |pool_size0
4 |4 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 20.040386199951172
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
4 |4 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.4 |0.2 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.597211837768555
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
2 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
4 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.4 |0.2 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.61634063720703
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
5 |5 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
4 |4 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0 |0.2 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.67474937438965
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 52s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |5 |kernel_size0
4 |1 |pool_size0
1 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.320960998535156
Best val_loss So Far: 18.761098861694336
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
5 |5 |kernel_size0
4 |1 |pool_size0
1 |4 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 17.592679977416992
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 00m 58s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
4 |4 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
4 |1 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0.3 |0 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.874696731567383
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |5 |kernel_size0
1 |4 |pool_size0
4 |1 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.647855758666992
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
2 |5 |kernel_size0
3 |None |kernel_size1
3 |4 |pool_size0
3 |None |pool_size1
2 |1 |stride_size0
2 |None |stride_size1
0.1 |0 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.28516387939453
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 10s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
4 |4 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |1 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0 |0 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.843212127685547
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 15s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
5 |5 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |4 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |1 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0.2 |0 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 19.84398651123047
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
3 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
2 |4 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |1 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.2 |0 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.9536075592041
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
2 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |4 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
1 |1 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
0.3 |0 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.639446258544922
Best val_loss So Far: 17.592679977416992
Total elapsed time: 00h 01m 28s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 4, 'stride_size0': 1, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 18.5366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 11ms/step - loss: 18.8469 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 16.8487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.3618 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 18.4717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.8948 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 16.8146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.3975 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 17.7966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.9215 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.4406 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 16.3309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.9677 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 14.8273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.4913 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.0163 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 14.9586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.5309 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.0434 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.5552 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.0765 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.5792 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.0895 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.6259 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.1008 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.5966 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1081 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7340 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2841 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.8974 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5241 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2085 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9478 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.7115 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4956 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3635 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1150 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9561 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8321 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6932 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5860 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4365 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3019 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2374 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0755 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9743 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9295 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7506 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6145 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6032 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4813 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4262 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2955 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2928 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2318 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1496 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1548 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9916 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9636 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8967 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8681 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7971 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7946 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7147 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5814 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6940 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6197 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5944 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5211 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4392 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4729 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4638 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3610 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3163 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2885 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2247 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3467 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2135 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2947 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1359 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1106 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0464 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0201 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9619 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9318 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9048 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0666 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8189 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8830 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7437 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7666 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6477 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7271 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7134 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7305 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6195 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5807 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6515 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6167 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6592 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4982 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5579 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4770 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4774 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5651 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4271 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2814 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4868 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4346 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3034 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4790 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2169 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2668 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1769 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1768 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1799 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3405 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2533 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3290 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2762 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2567 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1104 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2207 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2914 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1448 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1418 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1419 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0881 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2589 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0747 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1605 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1053 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1322 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1743 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1172 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0837 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1097 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1894 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1087 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1458 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2809 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1237 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1347 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0507 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1106 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1110 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0228 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1444 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0684 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0470 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0470 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1981 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1440 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1254 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1554 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0721 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0852 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1910 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2986 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1700 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1136 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1347 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1464 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2829 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1573 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2491 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0668 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0763 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0193 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1872 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1004 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1586 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1716 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0552 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1033 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1996 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1502 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0331 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2686 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1616 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1208 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3906 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2264 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4973 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0951 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0865 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6996 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0310 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0974 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0074 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2105 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2369 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1976 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2869 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1280 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2330 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1846 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0946 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1708 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1369 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1408 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0598 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1396 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1477 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1427 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0414 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1421 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1951 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 4, 'stride_size0': 1, 'dropout0': 0.0}
1/31 [..............................] - ETA: 3s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
405 Pilot03 1 cnn1d ... -1.876272 -0.121108 0.000147
406 Pilot03 1 cnn1d ... -1.837758 -0.024872 0.437186
407 Pilot03 1 cnn1d ... -5.557592 0.004437 0.889779
408 Pilot03 1 cnn1d ... -4.322164 0.012380 0.698984
409 Pilot03 1 cnn1d ... -0.721153 -0.098454 0.002053
[410 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-7.0-15.0-17.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |4 |kernel_size0
1 |1 |pool_size0
4 |4 |stride_size0
0 |0 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.531633377075195
Best val_loss So Far: 19.531633377075195
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
1 |4 |kernel_size0
3 |None |kernel_size1
5 |1 |pool_size0
3 |None |pool_size1
4 |4 |stride_size0
2 |None |stride_size1
0 |0 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.089662551879883
Best val_loss So Far: 19.531633377075195
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.2 |0 |dropout0
0 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.92963218688965
Best val_loss So Far: 19.531633377075195
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
1 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
5 |None |kernel_size4
3 |1 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.2 |0 |dropout0
0 |None |dropout1
0 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 07s]
val_loss: 19.317819595336914
Best val_loss So Far: 19.317819595336914
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |256 |filter_unit0
256 |32 |filter_unit1
64 |128 |filter_unit2
5 |1 |kernel_size0
1 |3 |kernel_size1
4 |1 |kernel_size2
3 |3 |pool_size0
1 |1 |pool_size1
5 |5 |pool_size2
4 |2 |stride_size0
5 |3 |stride_size1
5 |3 |stride_size2
0.1 |0.2 |dropout0
0.2 |0 |dropout1
0.2 |0 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 20.053146362304688
Best val_loss So Far: 19.317819595336914
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |256 |filter_unit0
64 |32 |filter_unit1
32 |128 |filter_unit2
128 |256 |filter_unit3
1 |1 |kernel_size0
3 |3 |kernel_size1
1 |1 |kernel_size2
1 |5 |kernel_size3
1 |3 |pool_size0
2 |1 |pool_size1
4 |5 |pool_size2
2 |3 |pool_size3
4 |2 |stride_size0
4 |3 |stride_size1
2 |3 |stride_size2
2 |3 |stride_size3
0.4 |0.2 |dropout0
0.2 |0 |dropout1
0 |0 |dropout2
0.4 |0 |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.905179977416992
Best val_loss So Far: 19.317819595336914
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
64 |256 |filter_unit3
32 |128 |filter_unit4
2 |1 |kernel_size0
5 |3 |kernel_size1
2 |1 |kernel_size2
2 |5 |kernel_size3
4 |5 |kernel_size4
3 |3 |pool_size0
1 |1 |pool_size1
4 |5 |pool_size2
2 |3 |pool_size3
3 |3 |pool_size4
5 |2 |stride_size0
3 |3 |stride_size1
4 |3 |stride_size2
3 |3 |stride_size3
1 |4 |stride_size4
0.1 |0.2 |dropout0
0 |0 |dropout1
0 |0 |dropout2
0.3 |0 |dropout3
0 |0.3 |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.747949600219727
Best val_loss So Far: 19.317819595336914
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |256 |filter_unit0
32 |32 |filter_unit1
3 |1 |kernel_size0
2 |3 |kernel_size1
3 |3 |pool_size0
2 |1 |pool_size1
3 |2 |stride_size0
2 |3 |stride_size1
0 |0.2 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 20.55712127685547
Best val_loss So Far: 19.317819595336914
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |256 |filter_unit0
5 |1 |kernel_size0
2 |3 |pool_size0
4 |2 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.904888153076172
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |256 |filter_unit0
64 |None |filter_unit1
1 |5 |kernel_size0
4 |None |kernel_size1
3 |2 |pool_size0
2 |None |pool_size1
5 |4 |stride_size0
3 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.322935104370117
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
2 |5 |kernel_size0
4 |None |kernel_size1
4 |2 |pool_size0
4 |None |pool_size1
1 |4 |stride_size0
5 |None |stride_size1
0.3 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.69759178161621
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
2 |5 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.3 |0.3 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 07s]
val_loss: 19.789758682250977
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
3 |5 |kernel_size0
5 |2 |pool_size0
1 |4 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 20.7679386138916
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |256 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
2 |5 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
1 |2 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |4 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0.3 |0.3 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.0257625579834
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 01s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |256 |filter_unit0
2 |5 |kernel_size0
2 |2 |pool_size0
3 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 02s]
val_loss: 21.009727478027344
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
1 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
3 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
4 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.3 |0.3 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.977195739746094
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 09s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
3 |5 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |2 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
3 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.3 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.83616828918457
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 15s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
1 |5 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
4 |2 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.3 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.72854995727539
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 20s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
1 |5 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |2 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
1 |4 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.712350845336914
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 26s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
3 |5 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
2 |2 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.3 |dropout0
0 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 19.852752685546875
Best val_loss So Far: 18.904888153076172
Total elapsed time: 00h 01m 33s
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 5, 'pool_size0': 2, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 35.2789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 17ms/step - loss: 35.8829 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 35.3652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 34.4579 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 32.4287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 32.9503 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 31.4171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 31.4159 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 30.5313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 30.0038 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 28.2789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 28.6732 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 28.9144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 27.0061 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 24.7665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 25.5348 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 22.8157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 24.2198 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 24.7215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 22.6158 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 20.9053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 21.3957 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 19.6633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 19.6442 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 19.4457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 18.2543 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 19.6850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 16.7561 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 15.1803 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 13.8722 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 12.4328 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.0429 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.0202 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.1028 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.3050 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.5104 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.8606 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.2869 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.1164 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.5008 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.4768 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9530 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9593 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.6935 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.4495 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1406 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3271 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2170 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1651 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8374 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7454 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7560 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6345 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5703 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7136 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3828 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5869 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3405 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2570 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1413 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1351 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0893 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1437 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9066 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0337 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8276 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8753 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8770 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2820 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9608 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7894 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6315 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6634 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6799 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7346 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8578 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5344 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6342 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7188 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4764 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3643 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5097 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7513 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3902 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3296 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5922 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4574 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5204 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2853 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3645 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1944 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2182 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3521 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1793 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0536 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4279 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1798 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1264 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2852 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0959 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9882 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1526 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1563 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9695 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0745 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7701 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2427 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9553 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1111 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1618 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0145 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1840 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9282 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8357 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9518 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9324 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2203 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9488 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1294 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9516 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9509 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1661 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9029 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8679 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1903 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0543 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8410 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1245 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8530 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9436 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9984 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9137 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8618 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7838 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0450 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9463 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7256 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7314 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7084 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6351 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8570 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6851 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6597 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7965 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5738 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0917 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8595 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8326 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7331 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7894 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8456 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9201 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8088 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6278 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8918 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7414 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7508 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7690 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7296 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7341 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8382 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6804 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8018 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7437 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6217 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8049 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7702 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6908 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8259 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9258 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7611 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6347 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8968 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8064 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8074 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7401 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6595 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8582 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8251 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8419 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8092 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8273 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7235 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8036 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7419 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9258 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8741 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7253 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7879 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8593 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8658 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7658 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8755 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8879 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5608 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8274 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5990 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0275 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8764 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7483 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7435 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8919 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9152 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9122 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8160 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8477 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7969 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8986 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9134 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5975 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7042 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7027 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9889 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7480 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 5, 'pool_size0': 2, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
1/31 [..............................] - ETA: 4s
19/31 [=================>............] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
406 Pilot03 1 cnn1d ... -1.837758 -0.024872 0.437186
407 Pilot03 1 cnn1d ... -5.557592 0.004437 0.889779
408 Pilot03 1 cnn1d ... -4.322164 0.012380 0.698984
409 Pilot03 1 cnn1d ... -0.721153 -0.098454 0.002053
410 Pilot03 1 cnn1d ... -0.961678 -0.041554 0.194143
[411 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-10.0-12.0-15.0-17.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
2 |2 |kernel_size0
4 |4 |kernel_size1
1 |1 |pool_size0
2 |2 |pool_size1
1 |1 |stride_size0
2 |2 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 17.368467330932617
Best val_loss So Far: 17.368467330932617
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |64 |filter_unit0
64 |256 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
2 |2 |kernel_size0
2 |4 |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
1 |1 |pool_size0
3 |2 |pool_size1
3 |None |pool_size2
4 |None |pool_size3
3 |1 |stride_size0
2 |2 |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.4 |0.3 |dropout0
0.3 |0.3 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 16.777009963989258
Best val_loss So Far: 16.777009963989258
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |64 |filter_unit0
64 |64 |filter_unit1
128 |64 |filter_unit2
256 |32 |filter_unit3
64 |None |filter_unit4
2 |2 |kernel_size0
4 |2 |kernel_size1
1 |5 |kernel_size2
3 |1 |kernel_size3
2 |None |kernel_size4
2 |1 |pool_size0
5 |3 |pool_size1
3 |3 |pool_size2
2 |4 |pool_size3
3 |None |pool_size4
3 |3 |stride_size0
2 |2 |stride_size1
2 |3 |stride_size2
3 |1 |stride_size3
5 |None |stride_size4
0.3 |0.4 |dropout0
0.2 |0.3 |dropout1
0.4 |0.4 |dropout2
0 |0.2 |dropout3
0 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 07s]
val_loss: 16.827302932739258
Best val_loss So Far: 16.777009963989258
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |64 |filter_unit0
256 |64 |filter_unit1
4 |2 |kernel_size0
1 |2 |kernel_size1
1 |1 |pool_size0
4 |3 |pool_size1
5 |3 |stride_size0
5 |2 |stride_size1
0.1 |0.4 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 16.732534408569336
Best val_loss So Far: 16.732534408569336
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |256 |filter_unit0
32 |256 |filter_unit1
2 |4 |kernel_size0
5 |1 |kernel_size1
3 |1 |pool_size0
5 |4 |pool_size1
1 |5 |stride_size0
4 |5 |stride_size1
0.4 |0.1 |dropout0
0.2 |0.3 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 18.9769229888916
Best val_loss So Far: 16.732534408569336
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |256 |filter_unit0
2 |4 |kernel_size0
5 |1 |pool_size0
4 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 17.177356719970703
Best val_loss So Far: 16.732534408569336
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |256 |filter_unit0
32 |256 |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
2 |1 |kernel_size1
1 |None |kernel_size2
3 |1 |pool_size0
1 |4 |pool_size1
5 |None |pool_size2
4 |5 |stride_size0
1 |5 |stride_size1
4 |None |stride_size2
0.1 |0.1 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 15.338088989257812
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |32 |filter_unit0
32 |32 |filter_unit1
64 |32 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
3 |2 |kernel_size1
4 |1 |kernel_size2
4 |None |kernel_size3
5 |None |kernel_size4
5 |3 |pool_size0
3 |1 |pool_size1
4 |5 |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
2 |1 |stride_size1
5 |4 |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.1 |0.1 |dropout0
0.1 |0.1 |dropout1
0.3 |0.3 |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 16.540117263793945
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
4 |3 |kernel_size0
4 |2 |kernel_size1
5 |3 |pool_size0
5 |1 |pool_size1
3 |4 |stride_size0
3 |1 |stride_size1
0.3 |0.1 |dropout0
0.1 |0.1 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 17.004308700561523
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
4 |3 |kernel_size0
4 |2 |kernel_size1
3 |1 |kernel_size2
5 |3 |pool_size0
3 |1 |pool_size1
1 |5 |pool_size2
4 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0 |0.1 |dropout0
0.1 |0.1 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 16.756927490234375
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
5 |3 |kernel_size0
2 |3 |pool_size0
2 |4 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 16.729961395263672
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
1 |3 |pool_size0
4 |1 |pool_size1
5 |4 |stride_size0
4 |1 |stride_size1
0.2 |0.1 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 17.790224075317383
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 49s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
4 |2 |kernel_size1
4 |1 |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
2 |1 |pool_size1
4 |5 |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
1 |1 |stride_size1
2 |4 |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0 |0.1 |dropout0
0.4 |0.1 |dropout1
0.3 |0.3 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.72897720336914
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
128 |32 |filter_unit2
2 |3 |kernel_size0
1 |2 |kernel_size1
4 |1 |kernel_size2
3 |3 |pool_size0
5 |1 |pool_size1
2 |5 |pool_size2
5 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.3 |0.1 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 16.4620361328125
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
4 |3 |kernel_size0
2 |3 |pool_size0
1 |4 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 15.63744068145752
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 02s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
128 |32 |filter_unit2
3 |3 |kernel_size0
2 |2 |kernel_size1
5 |1 |kernel_size2
3 |3 |pool_size0
3 |1 |pool_size1
3 |5 |pool_size2
3 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.2 |0.1 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 16.50007438659668
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 07s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |32 |filter_unit0
256 |32 |filter_unit1
32 |32 |filter_unit2
2 |3 |kernel_size0
1 |2 |kernel_size1
2 |1 |kernel_size2
1 |3 |pool_size0
5 |1 |pool_size1
5 |5 |pool_size2
2 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.1 |0.1 |dropout1
0.4 |0.3 |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 16.5440616607666
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 12s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
4 |3 |pool_size0
1 |1 |pool_size1
5 |4 |stride_size0
4 |1 |stride_size1
0.4 |0.1 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.178457260131836
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 16s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
128 |32 |filter_unit1
5 |3 |kernel_size0
2 |2 |kernel_size1
4 |3 |pool_size0
3 |1 |pool_size1
3 |4 |stride_size0
1 |1 |stride_size1
0.3 |0.1 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 16.959476470947266
Best val_loss So Far: 15.338088989257812
Total elapsed time: 00h 01m 19s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
4 |3 |pool_size0
3 |1 |pool_size1
4 |4 |stride_size0
1 |1 |stride_size1
0.4 |0.1 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 14.821660041809082
Best val_loss So Far: 14.821660041809082
Total elapsed time: 00h 01m 22s
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 32, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 3, 'stride_size0': 4, 'stride_size1': 1, 'dropout0': 0.4, 'dropout1': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 6.5694
4/4 [==============================] - ETA: 0s - loss: 7.1120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 20ms/step - loss: 7.1120 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1392 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1603 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1149 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0248 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0256 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3660 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7602 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6309 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2851 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9166 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3281 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7406 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0612 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5096 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8478 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7886 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4397 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4466 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6913 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7815 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3941 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7095 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3022 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1739 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1698 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9624 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0742 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4901 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9116 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0283 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0438 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1360 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7798 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7763 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8474 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9306 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7018 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5329 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9634 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6933 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3512 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6017 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3233 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6183 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3492 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6393 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2502 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1399 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0965 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5546 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2627 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2921 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2188 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5998 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4266 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0588 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0000 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5602 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5178 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3753 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3931 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2319 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9511 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2822 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5086 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3678 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3046 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1549 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4051 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9373 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0082 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2500 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9593 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1784 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0273 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1522 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9924 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8220 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2933 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9662 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2395 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0362 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1403 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1426 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2234 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0654 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9812 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0099 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0697 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2233 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8789 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8994 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9390 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0059 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1359 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4317 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7893 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9456 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1370 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9341 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1934 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9322 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1658 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0604 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0457 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0470 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9726 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9293 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1499 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2189 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6639 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9101 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9958 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6481 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9863 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9009 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7884 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0453 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1810 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8281 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0896 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9628 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6828 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2233 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5318 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9203 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8760 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0806 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1689 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0111 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0783 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7877WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1806 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0400 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8965 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8430 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8150 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8406 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7328 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8203 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9737 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0261 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8771 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6759 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9885 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7611 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7291 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7677 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5038 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8922 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0762 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8062 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8849 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0202 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1310 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0426 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9465 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0904 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6733 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7786 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8910 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1155 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0813 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0804 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3103 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8383 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0331 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7090 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0081 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1437 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2336 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0950 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9995 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5426 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8133 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6932 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8480 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9012 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8871 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0767 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1210 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9943 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7794 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7392 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8889 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9028 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2371 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4443 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8536 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6418 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0867 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7738 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2255 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9886 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7775 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9096 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0410 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5917 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1205 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7408 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 32, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 3, 'stride_size0': 4, 'stride_size1': 1, 'dropout0': 0.4, 'dropout1': 0.30000000000000004}
1/31 [..............................] - ETA: 6s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
407 Pilot03 1 cnn1d ... -5.557592 0.004437 0.889779
408 Pilot03 1 cnn1d ... -4.322164 0.012380 0.698984
409 Pilot03 1 cnn1d ... -0.721153 -0.098454 0.002053
410 Pilot03 1 cnn1d ... -0.961678 -0.041554 0.194143
411 Pilot03 1 cnn1d ... -3.402158 -0.116051 0.000276
[412 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-10.0-12.0-15.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
4 |4 |kernel_size0
1 |1 |kernel_size1
1 |1 |kernel_size2
1 |1 |pool_size0
4 |4 |pool_size1
2 |2 |pool_size2
2 |2 |stride_size0
4 |4 |stride_size1
2 |2 |stride_size2
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
0.4 |0.4 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 18.6965389251709
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |128 |filter_unit0
32 |128 |filter_unit1
32 |128 |filter_unit2
128 |None |filter_unit3
5 |4 |kernel_size0
1 |1 |kernel_size1
5 |1 |kernel_size2
4 |None |kernel_size3
1 |1 |pool_size0
2 |4 |pool_size1
2 |2 |pool_size2
2 |None |pool_size3
1 |2 |stride_size0
4 |4 |stride_size1
4 |2 |stride_size2
2 |None |stride_size3
0.3 |0.1 |dropout0
0.3 |0.4 |dropout1
0.4 |0.4 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.150758743286133
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |128 |filter_unit0
2 |4 |kernel_size0
4 |1 |pool_size0
3 |2 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.853260040283203
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |128 |filter_unit0
256 |128 |filter_unit1
2 |4 |kernel_size0
5 |1 |kernel_size1
2 |1 |pool_size0
5 |4 |pool_size1
4 |2 |stride_size0
4 |4 |stride_size1
0.4 |0.1 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 18.918550491333008
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |128 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
32 |None |filter_unit3
4 |4 |kernel_size0
5 |1 |kernel_size1
3 |1 |kernel_size2
4 |None |kernel_size3
1 |1 |pool_size0
1 |4 |pool_size1
4 |2 |pool_size2
1 |None |pool_size3
5 |2 |stride_size0
4 |4 |stride_size1
4 |2 |stride_size2
1 |None |stride_size3
0.2 |0.1 |dropout0
0.2 |0.4 |dropout1
0 |0.4 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.206096649169922
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |128 |filter_unit0
256 |128 |filter_unit1
32 |128 |filter_unit2
2 |4 |kernel_size0
2 |1 |kernel_size1
2 |1 |kernel_size2
1 |1 |pool_size0
4 |4 |pool_size1
4 |2 |pool_size2
5 |2 |stride_size0
3 |4 |stride_size1
5 |2 |stride_size2
0.1 |0.1 |dropout0
0.2 |0.4 |dropout1
0.4 |0.4 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.054004669189453
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |128 |filter_unit0
4 |4 |kernel_size0
3 |1 |pool_size0
5 |2 |stride_size0
0.3 |0.1 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 02s]
val_loss: 21.324857711791992
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |128 |filter_unit0
1 |4 |kernel_size0
2 |1 |pool_size0
3 |2 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 21.271169662475586
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |128 |filter_unit0
4 |4 |kernel_size0
4 |1 |pool_size0
1 |2 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.855623245239258
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 34s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |128 |filter_unit0
32 |128 |filter_unit1
32 |128 |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
2 |4 |kernel_size0
1 |1 |kernel_size1
4 |1 |kernel_size2
5 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
2 |4 |pool_size1
2 |2 |pool_size2
3 |None |pool_size3
2 |None |pool_size4
2 |2 |stride_size0
5 |4 |stride_size1
3 |2 |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.2 |0.4 |dropout1
0 |0.4 |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.294692993164062
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |128 |filter_unit0
1 |4 |kernel_size0
1 |1 |pool_size0
3 |2 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 18.89083480834961
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 43s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
4 |4 |kernel_size0
5 |1 |kernel_size1
5 |1 |kernel_size2
4 |1 |pool_size0
5 |4 |pool_size1
1 |2 |pool_size2
1 |2 |stride_size0
5 |4 |stride_size1
4 |2 |stride_size2
0.1 |0.1 |dropout0
0.2 |0.4 |dropout1
0.3 |0.4 |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 18.88246726989746
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 48s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |128 |filter_unit0
32 |128 |filter_unit1
64 |128 |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
1 |4 |kernel_size0
5 |1 |kernel_size1
2 |1 |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
3 |1 |pool_size0
1 |4 |pool_size1
3 |2 |pool_size2
5 |None |pool_size3
4 |None |pool_size4
4 |2 |stride_size0
3 |4 |stride_size1
4 |2 |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0 |0.1 |dropout0
0 |0.4 |dropout1
0 |0.4 |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 18.803625106811523
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 54s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |128 |filter_unit0
64 |128 |filter_unit1
64 |128 |filter_unit2
32 |None |filter_unit3
5 |4 |kernel_size0
5 |1 |kernel_size1
2 |1 |kernel_size2
1 |None |kernel_size3
3 |1 |pool_size0
1 |4 |pool_size1
5 |2 |pool_size2
2 |None |pool_size3
2 |2 |stride_size0
3 |4 |stride_size1
1 |2 |stride_size2
4 |None |stride_size3
0.2 |0.1 |dropout0
0.4 |0.4 |dropout1
0 |0.4 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 18.94179916381836
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 00m 59s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
64 |128 |filter_unit1
128 |128 |filter_unit2
1 |4 |kernel_size0
1 |1 |kernel_size1
1 |1 |kernel_size2
4 |1 |pool_size0
4 |4 |pool_size1
1 |2 |pool_size2
5 |2 |stride_size0
3 |4 |stride_size1
5 |2 |stride_size2
0.3 |0.1 |dropout0
0.4 |0.4 |dropout1
0.2 |0.4 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.32227325439453
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
256 |128 |filter_unit1
64 |128 |filter_unit2
2 |4 |kernel_size0
4 |1 |kernel_size1
4 |1 |kernel_size2
3 |1 |pool_size0
4 |4 |pool_size1
4 |2 |pool_size2
5 |2 |stride_size0
3 |4 |stride_size1
1 |2 |stride_size2
0.3 |0.1 |dropout0
0.2 |0.4 |dropout1
0.3 |0.4 |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.042037963867188
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 09s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |128 |filter_unit0
1 |4 |kernel_size0
4 |1 |pool_size0
2 |2 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 19.249467849731445
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 12s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |128 |filter_unit0
1 |4 |kernel_size0
2 |1 |pool_size0
4 |2 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.000442504882812
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 14s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |128 |filter_unit0
256 |128 |filter_unit1
2 |4 |kernel_size0
1 |1 |kernel_size1
3 |1 |pool_size0
5 |4 |pool_size1
5 |2 |stride_size0
1 |4 |stride_size1
0 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.21776580810547
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 18s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |128 |filter_unit0
64 |128 |filter_unit1
32 |128 |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
3 |4 |kernel_size0
1 |1 |kernel_size1
5 |1 |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
2 |1 |pool_size0
5 |4 |pool_size1
5 |2 |pool_size2
5 |None |pool_size3
1 |None |pool_size4
3 |2 |stride_size0
5 |4 |stride_size1
5 |2 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.2 |0.1 |dropout0
0 |0.4 |dropout1
0.2 |0.4 |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 18.903732299804688
Best val_loss So Far: 18.6965389251709
Total elapsed time: 00h 01m 25s
{'n_layers': 3, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 128, 'kernel_size0': 4, 'kernel_size1': 1, 'kernel_size2': 1, 'pool_size0': 1, 'pool_size1': 4, 'pool_size2': 2, 'stride_size0': 2, 'stride_size1': 4, 'stride_size2': 2, 'dropout0': 0.1, 'dropout1': 0.4, 'dropout2': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 4.2908
4/4 [==============================] - ETA: 0s - loss: 5.7264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 34ms/step - loss: 5.7264 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.8100 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.4984 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.6524 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.1149 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.6687 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.2391 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.8056 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.7458 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3736 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.2003 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.2988 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0693 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.2146 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.5576 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3598 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0353 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9923 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7040 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.1725 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9404 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5356 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5465 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8385 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7194 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9997 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7258 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9348 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9213 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.1951 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5233 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8474 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7080 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4890 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7197 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9572 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5245 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6441 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3321 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.9713 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6558 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4291 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4173 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6124 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6258 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8374 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8440 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1865 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2758 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4373 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2567 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2975 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8248 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5910 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5567 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4597 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3278 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4052 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1880 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1123 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3372 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5500 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2662 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3522 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1824 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3443 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2259 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2091 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1883 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0616 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5994 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0102 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0361 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3236 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1215 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0478 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1823 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0957 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3972 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1452 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9130 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5038 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9616 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2032 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3546 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9436 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2301 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7139 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7871 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9808 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8771 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8320 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9916 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1284 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9314 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9074 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7174 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8244 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9874 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9637 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0729 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8495 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7253 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0911 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9567 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2097 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3769 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6207 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8005 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7040 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9962 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7520 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9861 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8350 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9485 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2626 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5513 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2903 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0455 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1356 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8121 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7777 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0747 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8768 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9914 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9267 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1730 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7968 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0662 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0456 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5201 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9744 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9451 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7979 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9309 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8806 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8416 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7544 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8283 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9263 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2050 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0749 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7849 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8919 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2828 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7925 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8310 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0782 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6883 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2270 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0504 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0201 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0256 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0701 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7628 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3646 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7387 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6673 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6598 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0023 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6619 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8107 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1401 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8431 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9381 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0114 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7597 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0584 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8750 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7569 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9013 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9357 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3225 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0758 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2871 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7353 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2483 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2486 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0187 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0686 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0004 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7805 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0141 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0281 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9010 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9498 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6687 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0276 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8594 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9164 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1040 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9468 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0489 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8332 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8039 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9427 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5146 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1067 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0815 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3881 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 128, 'kernel_size0': 4, 'kernel_size1': 1, 'kernel_size2': 1, 'pool_size0': 1, 'pool_size1': 4, 'pool_size2': 2, 'stride_size0': 2, 'stride_size1': 4, 'stride_size2': 2, 'dropout0': 0.1, 'dropout1': 0.4, 'dropout2': 0.4}
1/31 [..............................] - ETA: 8s
21/31 [===================>..........] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 4ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
408 Pilot03 1 cnn1d ... -4.322164 0.012380 0.698984
409 Pilot03 1 cnn1d ... -0.721153 -0.098454 0.002053
410 Pilot03 1 cnn1d ... -0.961678 -0.041554 0.194143
411 Pilot03 1 cnn1d ... -3.402158 -0.116051 0.000276
412 Pilot03 1 cnn1d ... -4.348453 -0.006533 0.838325
[413 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-10.0-12.0-17.0-20.0
train
(36036, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
32 |32 |filter_unit3
1 |1 |kernel_size0
4 |4 |kernel_size1
2 |2 |kernel_size2
1 |1 |kernel_size3
5 |5 |pool_size0
1 |1 |pool_size1
2 |2 |pool_size2
1 |1 |pool_size3
4 |4 |stride_size0
5 |5 |stride_size1
3 |3 |stride_size2
1 |1 |stride_size3
0.1 |0.1 |dropout0
0 |0 |dropout1
0.2 |0.2 |dropout2
0 |0 |dropout3
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.8441104888916
Best val_loss So Far: 19.8441104888916
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |32 |filter_unit0
64 |128 |filter_unit1
4 |1 |kernel_size0
3 |4 |kernel_size1
1 |5 |pool_size0
5 |1 |pool_size1
5 |4 |stride_size0
3 |5 |stride_size1
0 |0.1 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 19.91460418701172
Best val_loss So Far: 19.8441104888916
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |32 |filter_unit0
1 |1 |kernel_size0
1 |5 |pool_size0
2 |4 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.06439208984375
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
1 |1 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |1 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
2 |2 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
0.3 |0.4 |dropout0
0.4 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.132078170776367
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
3 |1 |kernel_size0
5 |None |kernel_size1
2 |1 |pool_size0
5 |None |pool_size1
2 |2 |stride_size0
4 |None |stride_size1
0.1 |0.4 |dropout0
0 |None |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.55178451538086
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
2 |1 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
1 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 20.34111976623535
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |256 |filter_unit0
64 |None |filter_unit1
2 |1 |kernel_size0
5 |None |kernel_size1
5 |1 |pool_size0
5 |None |pool_size1
1 |2 |stride_size0
2 |None |stride_size1
0.4 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 21.383708953857422
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
2 |1 |kernel_size0
4 |1 |pool_size0
2 |2 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.18767738342285
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
4 |1 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |1 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
5 |2 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.913909912109375
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 36s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
1 |1 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
1 |1 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
3 |2 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
0.1 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.157142639160156
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
3 |1 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
4 |1 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
4 |2 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0.3 |0.4 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 20.043930053710938
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 45s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
1 |1 |kernel_size0
5 |None |kernel_size1
5 |1 |pool_size0
5 |None |pool_size1
3 |2 |stride_size0
5 |None |stride_size1
0.2 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.195297241210938
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 48s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |1 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
5 |1 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |2 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 20.185632705688477
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 00m 54s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
5 |1 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
1 |1 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
2 |2 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.423999786376953
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
2 |1 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
3 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.3 |0.4 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.903182983398438
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |1 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
4 |None |kernel_size4
3 |1 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
4 |2 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.4 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.938722610473633
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 13s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |256 |filter_unit0
1 |1 |kernel_size0
2 |1 |pool_size0
3 |2 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.144367218017578
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 15s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |1 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
4 |1 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
2 |None |pool_size4
4 |2 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.77345848083496
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 21s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
1 |1 |kernel_size0
5 |None |kernel_size1
2 |1 |pool_size0
1 |None |pool_size1
2 |2 |stride_size0
1 |None |stride_size1
0.3 |0.4 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 20.635164260864258
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |1 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
5 |2 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.1 |0.4 |dropout0
0.3 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.618803024291992
Best val_loss So Far: 19.06439208984375
Total elapsed time: 00h 01m 30s
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 19.4077
4/4 [==============================] - ETA: 0s - loss: 18.8868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 18ms/step - loss: 18.8868 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 18.9354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 18.0192 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 17.1731 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 17.0054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 16.3577 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 16.6415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 15.4889 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 14.6573 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 13.8193 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 12.9548 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 12.0977 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.3067 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.5319 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.8260 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.2847 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.7357 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.2451 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.8164 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.3422 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.0657 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.6138 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.3628 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.0761 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.8184 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.5664 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.3682 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.2278 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.0311 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9476 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7415 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.6305 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.4688 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3373 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3121 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1975 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1776 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.0807 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.0211 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9261 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8959 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8276 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8063 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7402 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7292 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6417 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5693 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6140 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5548 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4032 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5066 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4008 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4011 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4135 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2385 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2827 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1864 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1597 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0806 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0991 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0273 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9998 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9995 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9867 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9330 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9271 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8668 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8512 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8459 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7374 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6771 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7332 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7528 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7240 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7157 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6336 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6660 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6993 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6963 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7231 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6707 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5974 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5485 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5624 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5338 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4904 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4751 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5220 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5044 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4697 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4482 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4002 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5801 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4989 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4176 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4700 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3641 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2872 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3641 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3560 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3525 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3297 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.4091 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2677 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3156 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2804 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2413 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2317 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2616 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2008 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2675 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1739 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2333 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2828 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3499 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2593 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1821 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1650 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1619 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3340 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1798 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1974 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1398 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2440 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1711 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3004 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1770 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3084 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2772 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2005 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2003 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1288 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1908 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1791 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1419 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1634 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1743 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2562 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2499 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1492 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2407 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1912 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1751 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2585 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1813 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2240 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0586 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1896 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2062 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2202 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2953 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1095 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2451 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1775 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1767 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1887 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1385 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2241 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1757 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1231 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1377 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2042 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2181 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2883 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2342 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3013 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2000 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1608 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1478 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1403 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1182 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2142 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2838 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3578 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0974 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2403 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1973 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1481 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2516 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2007 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2486 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2218 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1483 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2537 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3781 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2437 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1444 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1851 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1157 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1936 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1701 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1689 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1576 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1485 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1844 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2360 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3275 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1913 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1897 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2331 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2136 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1694 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1175 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
1/31 [..............................] - ETA: 3s
19/31 [=================>............] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
409 Pilot03 1 cnn1d ... -0.721153 -0.098454 0.002053
410 Pilot03 1 cnn1d ... -0.961678 -0.041554 0.194143
411 Pilot03 1 cnn1d ... -3.402158 -0.116051 0.000276
412 Pilot03 1 cnn1d ... -4.348453 -0.006533 0.838325
413 Pilot03 1 cnn1d ... -1.288409 -0.092364 0.003840
[414 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-10.0-15.0-17.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (111, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
4 |4 |kernel_size0
3 |3 |pool_size0
4 |4 |stride_size0
0 |0 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 20.41758155822754
Best val_loss So Far: 20.41758155822754
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
5 |4 |kernel_size0
5 |None |kernel_size1
5 |3 |pool_size0
5 |None |pool_size1
2 |4 |stride_size0
5 |None |stride_size1
0.1 |0 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.230621337890625
Best val_loss So Far: 20.230621337890625
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
256 |128 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
1 |5 |kernel_size0
1 |5 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
4 |5 |pool_size0
2 |5 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
4 |2 |stride_size0
5 |5 |stride_size1
2 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.1 |dropout0
0.3 |0.3 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 19.9727840423584
Best val_loss So Far: 19.9727840423584
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |64 |filter_unit0
256 |256 |filter_unit1
256 |128 |filter_unit2
32 |64 |filter_unit3
64 |32 |filter_unit4
3 |1 |kernel_size0
4 |1 |kernel_size1
2 |2 |kernel_size2
1 |3 |kernel_size3
3 |5 |kernel_size4
4 |4 |pool_size0
5 |2 |pool_size1
4 |1 |pool_size2
2 |2 |pool_size3
3 |4 |pool_size4
1 |4 |stride_size0
5 |5 |stride_size1
5 |2 |stride_size2
2 |1 |stride_size3
3 |4 |stride_size4
0.1 |0.4 |dropout0
0.4 |0.3 |dropout1
0.2 |0.4 |dropout2
0.3 |0.2 |dropout3
0 |0.2 |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 07s]
val_loss: 19.702856063842773
Best val_loss So Far: 19.702856063842773
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |128 |filter_unit0
32 |256 |filter_unit1
1 |3 |kernel_size0
4 |4 |kernel_size1
1 |4 |pool_size0
3 |5 |pool_size1
2 |1 |stride_size0
4 |5 |stride_size1
0.1 |0.1 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.894794464111328
Best val_loss So Far: 19.702856063842773
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
256 |256 |filter_unit1
64 |256 |filter_unit2
128 |32 |filter_unit3
128 |64 |filter_unit4
1 |3 |kernel_size0
1 |4 |kernel_size1
2 |2 |kernel_size2
1 |1 |kernel_size3
2 |3 |kernel_size4
2 |4 |pool_size0
4 |5 |pool_size1
4 |4 |pool_size2
3 |2 |pool_size3
5 |3 |pool_size4
1 |1 |stride_size0
2 |5 |stride_size1
3 |5 |stride_size2
4 |2 |stride_size3
5 |3 |stride_size4
0.3 |0.1 |dropout0
0.4 |0.4 |dropout1
0 |0.2 |dropout2
0.4 |0.3 |dropout3
0.1 |0 |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 19.925338745117188
Best val_loss So Far: 19.702856063842773
Total elapsed time: 00h 00m 30s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |128 |filter_unit0
128 |256 |filter_unit1
128 |256 |filter_unit2
256 |32 |filter_unit3
3 |3 |kernel_size0
5 |4 |kernel_size1
1 |2 |kernel_size2
1 |1 |kernel_size3
4 |4 |pool_size0
5 |5 |pool_size1
3 |4 |pool_size2
3 |2 |pool_size3
1 |1 |stride_size0
3 |5 |stride_size1
3 |5 |stride_size2
2 |2 |stride_size3
0 |0.1 |dropout0
0.2 |0.4 |dropout1
0 |0.2 |dropout2
0.2 |0.3 |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.70336151123047
Best val_loss So Far: 19.702856063842773
Total elapsed time: 00h 00m 35s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
256 |256 |filter_unit1
32 |256 |filter_unit2
32 |32 |filter_unit3
32 |64 |filter_unit4
3 |3 |kernel_size0
1 |4 |kernel_size1
1 |2 |kernel_size2
1 |1 |kernel_size3
3 |3 |kernel_size4
3 |4 |pool_size0
3 |5 |pool_size1
5 |4 |pool_size2
1 |2 |pool_size3
3 |3 |pool_size4
3 |1 |stride_size0
3 |5 |stride_size1
3 |5 |stride_size2
4 |2 |stride_size3
1 |3 |stride_size4
0.1 |0.1 |dropout0
0.2 |0.4 |dropout1
0.2 |0.2 |dropout2
0.3 |0.3 |dropout3
0.3 |0 |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.900310516357422
Best val_loss So Far: 19.702856063842773
Total elapsed time: 00h 00m 41s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
2 |3 |kernel_size0
4 |4 |pool_size0
5 |1 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.040807723999023
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
3 |2 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
2 |4 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |5 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.99951171875
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 00m 49s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
5 |2 |kernel_size0
1 |None |kernel_size1
3 |4 |pool_size0
2 |None |pool_size1
1 |5 |stride_size0
1 |None |stride_size1
0.1 |0.2 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.797161102294922
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 00m 52s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
3 |2 |kernel_size0
2 |4 |pool_size0
2 |5 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.369243621826172
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
2 |2 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
2 |4 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |5 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0.2 |0.2 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.761659622192383
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
1 |2 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
1 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
4 |5 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
0 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.810649871826172
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 05s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
3 |2 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
3 |4 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
1 |5 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.2 |0.2 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.96518325805664
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 11s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
5 |2 |kernel_size0
2 |None |kernel_size1
5 |4 |pool_size0
5 |None |pool_size1
1 |5 |stride_size0
4 |None |stride_size1
0.3 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.117097854614258
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |128 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
4 |2 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
1 |None |kernel_size4
4 |4 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |5 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.1 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.838726043701172
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
4 |2 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
4 |4 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
3 |5 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.690868377685547
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 25s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
3 |2 |kernel_size0
4 |None |kernel_size1
5 |4 |pool_size0
5 |None |pool_size1
5 |5 |stride_size0
5 |None |stride_size1
0 |0.2 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 20.80581283569336
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 28s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
2 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |4 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
2 |5 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0 |0.2 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.630931854248047
Best val_loss So Far: 19.040807723999023
Total elapsed time: 00h 01m 34s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 4, 'stride_size0': 5, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 9.5444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 13ms/step - loss: 8.5530 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.1032 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.7167 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3171 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.0946 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7516 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.4866 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3577 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0100 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8751 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6151 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3769 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3324 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1410 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0356 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7835 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7015 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6083 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6521 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6406 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5115 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5667 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3952 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3437 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2960 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0732 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0989 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1365 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1310 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1317 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0728 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9509 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9507 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9036 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8054 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7697 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7575 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7828 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6257 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7157 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6608 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5495 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5266 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5155 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4923 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4299 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3245 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3306 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3288 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3241 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2444 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1331 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1909 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3002 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0599 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2382 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2243 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1451 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0214 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9542 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0093 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0865 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9370 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8951 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9726 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8565 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9452 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8727 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8596 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7777 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8133 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0654 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7171 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7493 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6729 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8673 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6644 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8767 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6886 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6386 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6608 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6307 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6622 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6668 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5913 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6039 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7558 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5952 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5401 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5618 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5502 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5020 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5877 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3711 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6609 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5092 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4620 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5051 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4123 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4288 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4400 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5444 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3647 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4876 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3714 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4620 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3263 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4672 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4116 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2751 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4031 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4645 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3806 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3774 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4687 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4289 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2419 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4828 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3114 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4048 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3775 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3449 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2777 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2562 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3294 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3286 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1925 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3799 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3998 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3829 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5767 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2891 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4318 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4110 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2804 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4054 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2349 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3797 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4045 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2486 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3100 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3997 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4772 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3736 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2206 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6071 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3551 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3391 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3371 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3024 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2682 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3064 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3729 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3431 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3501 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4591 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3564 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2485 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2649 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4083 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3604 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3520 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2572 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3925 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2313 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3432 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2888 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3430 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3525 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3139 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3221 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4092 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3981 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3219 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4610 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4501 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3735 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2941 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3390 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3861 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2708 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3252 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2915 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3656 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3631 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3446 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4171 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4020 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3700 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4123 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5058 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3984 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4101 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3797 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3990 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3463 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3084 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3763 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4100 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2796 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 4, 'stride_size0': 5, 'dropout0': 0.2}
1/31 [..............................] - ETA: 4s
30/31 [============================>.] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
410 Pilot03 1 cnn1d ... -0.961678 -0.041554 0.194143
411 Pilot03 1 cnn1d ... -3.402158 -0.116051 0.000276
412 Pilot03 1 cnn1d ... -4.348453 -0.006533 0.838325
413 Pilot03 1 cnn1d ... -1.288409 -0.092364 0.003840
414 Pilot03 1 cnn1d ... -0.496722 -0.033364 0.297250
[415 rows x 18 columns]
imu_rr_Pilot03_id1_combi5.0-12.0-15.0-17.0-20.0
train
(36156, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
128 |128 |filter_unit2
128 |128 |filter_unit3
256 |256 |filter_unit4
4 |4 |kernel_size0
2 |2 |kernel_size1
5 |5 |kernel_size2
5 |5 |kernel_size3
5 |5 |kernel_size4
5 |5 |pool_size0
4 |4 |pool_size1
3 |3 |pool_size2
1 |1 |pool_size3
2 |2 |pool_size4
5 |5 |stride_size0
1 |1 |stride_size1
5 |5 |stride_size2
2 |2 |stride_size3
5 |5 |stride_size4
0.3 |0.3 |dropout0
0.1 |0.1 |dropout1
0.4 |0.4 |dropout2
0.2 |0.2 |dropout3
0.3 |0.3 |dropout4
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 07s]
val_loss: 19.52293586730957
Best val_loss So Far: 19.52293586730957
Total elapsed time: 00h 00m 07s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
4 |4 |kernel_size0
3 |2 |kernel_size1
2 |5 |kernel_size2
3 |5 |pool_size0
5 |4 |pool_size1
3 |3 |pool_size2
3 |5 |stride_size0
5 |1 |stride_size1
5 |5 |stride_size2
0.4 |0.3 |dropout0
0.2 |0.1 |dropout1
0.2 |0.4 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.79194450378418
Best val_loss So Far: 19.52293586730957
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |128 |filter_unit0
1 |4 |kernel_size0
5 |5 |pool_size0
2 |5 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.44011878967285
Best val_loss So Far: 19.44011878967285
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |1 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
1 |5 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
1 |2 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.1 |0.3 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 07s]
val_loss: 18.96739387512207
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 21s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |32 |filter_unit0
256 |64 |filter_unit1
1 |1 |kernel_size0
1 |3 |kernel_size1
2 |1 |pool_size0
1 |4 |pool_size1
2 |1 |stride_size0
4 |1 |stride_size1
0.4 |0.1 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 20.11196517944336
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
5 |1 |kernel_size0
5 |3 |kernel_size1
5 |1 |pool_size0
3 |4 |pool_size1
5 |1 |stride_size0
1 |1 |stride_size1
0.3 |0.1 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.588886260986328
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |32 |filter_unit0
3 |1 |kernel_size0
1 |1 |pool_size0
4 |1 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.04762840270996
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |32 |filter_unit0
4 |1 |kernel_size0
5 |1 |pool_size0
1 |1 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 20.307634353637695
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
32 |128 |filter_unit2
32 |128 |filter_unit3
3 |1 |kernel_size0
5 |3 |kernel_size1
5 |1 |kernel_size2
5 |4 |kernel_size3
3 |1 |pool_size0
1 |4 |pool_size1
3 |5 |pool_size2
3 |4 |pool_size3
5 |1 |stride_size0
1 |1 |stride_size1
4 |2 |stride_size2
2 |2 |stride_size3
0.4 |0.1 |dropout0
0.2 |0.2 |dropout1
0.1 |0.4 |dropout2
0 |0.3 |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.426799774169922
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |32 |filter_unit0
32 |64 |filter_unit1
1 |1 |kernel_size0
4 |3 |kernel_size1
3 |1 |pool_size0
5 |4 |pool_size1
2 |1 |stride_size0
4 |1 |stride_size1
0.3 |0.1 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 20.943357467651367
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |32 |filter_unit0
32 |64 |filter_unit1
3 |1 |kernel_size0
2 |3 |kernel_size1
2 |1 |pool_size0
2 |4 |pool_size1
5 |1 |stride_size0
3 |1 |stride_size1
0.3 |0.1 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 20.77318000793457
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |32 |filter_unit0
5 |1 |kernel_size0
3 |1 |pool_size0
5 |1 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 02s]
val_loss: 21.812179565429688
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 48s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |32 |filter_unit0
1 |1 |kernel_size0
2 |1 |pool_size0
3 |1 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 19.436521530151367
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 51s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |32 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
256 |128 |filter_unit3
128 |128 |filter_unit4
5 |1 |kernel_size0
5 |3 |kernel_size1
2 |1 |kernel_size2
5 |4 |kernel_size3
3 |3 |kernel_size4
1 |1 |pool_size0
2 |4 |pool_size1
3 |5 |pool_size2
1 |4 |pool_size3
2 |1 |pool_size4
1 |1 |stride_size0
2 |1 |stride_size1
5 |2 |stride_size2
3 |2 |stride_size3
2 |1 |stride_size4
0.4 |0.1 |dropout0
0.2 |0.2 |dropout1
0.3 |0.4 |dropout2
0.3 |0.3 |dropout3
0.3 |0.2 |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.825101852416992
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |32 |filter_unit0
32 |64 |filter_unit1
32 |128 |filter_unit2
128 |128 |filter_unit3
2 |1 |kernel_size0
2 |3 |kernel_size1
4 |1 |kernel_size2
2 |4 |kernel_size3
2 |1 |pool_size0
5 |4 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
3 |1 |stride_size0
1 |1 |stride_size1
1 |2 |stride_size2
4 |2 |stride_size3
0.4 |0.1 |dropout0
0 |0.2 |dropout1
0.4 |0.4 |dropout2
0.3 |0.3 |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 20.01240348815918
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 02s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |32 |filter_unit0
2 |1 |kernel_size0
2 |1 |pool_size0
1 |1 |stride_size0
0.3 |0.1 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 22.01935386657715
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 04s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
128 |128 |filter_unit2
256 |128 |filter_unit3
5 |1 |kernel_size0
1 |3 |kernel_size1
5 |1 |kernel_size2
2 |4 |kernel_size3
4 |1 |pool_size0
3 |4 |pool_size1
3 |5 |pool_size2
2 |4 |pool_size3
2 |1 |stride_size0
5 |1 |stride_size1
2 |2 |stride_size2
5 |2 |stride_size3
0.1 |0.1 |dropout0
0.4 |0.2 |dropout1
0.3 |0.4 |dropout2
0.3 |0.3 |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.80483627319336
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 09s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |32 |filter_unit0
256 |64 |filter_unit1
256 |128 |filter_unit2
128 |128 |filter_unit3
128 |128 |filter_unit4
1 |1 |kernel_size0
4 |3 |kernel_size1
5 |1 |kernel_size2
3 |4 |kernel_size3
4 |3 |kernel_size4
1 |1 |pool_size0
1 |4 |pool_size1
4 |5 |pool_size2
1 |4 |pool_size3
5 |1 |pool_size4
4 |1 |stride_size0
4 |1 |stride_size1
1 |2 |stride_size2
3 |2 |stride_size3
3 |1 |stride_size4
0 |0.1 |dropout0
0.2 |0.2 |dropout1
0.2 |0.4 |dropout2
0.1 |0.3 |dropout3
0.4 |0.2 |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 19.949739456176758
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 16s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |32 |filter_unit0
64 |64 |filter_unit1
256 |128 |filter_unit2
64 |128 |filter_unit3
3 |1 |kernel_size0
5 |3 |kernel_size1
1 |1 |kernel_size2
1 |4 |kernel_size3
4 |1 |pool_size0
3 |4 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
1 |1 |stride_size0
4 |1 |stride_size1
1 |2 |stride_size2
2 |2 |stride_size3
0.2 |0.1 |dropout0
0 |0.2 |dropout1
0 |0.4 |dropout2
0.3 |0.3 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.085289001464844
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |32 |filter_unit0
32 |64 |filter_unit1
128 |128 |filter_unit2
256 |128 |filter_unit3
3 |1 |kernel_size0
1 |3 |kernel_size1
1 |1 |kernel_size2
2 |4 |kernel_size3
4 |1 |pool_size0
2 |4 |pool_size1
1 |5 |pool_size2
4 |4 |pool_size3
5 |1 |stride_size0
2 |1 |stride_size1
4 |2 |stride_size2
2 |2 |stride_size3
0.1 |0.1 |dropout0
0.2 |0.2 |dropout1
0.1 |0.4 |dropout2
0.1 |0.3 |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.908578872680664
Best val_loss So Far: 18.96739387512207
Total elapsed time: 00h 01m 27s
{'n_layers': 5, 'filter_unit0': 32, 'filter_unit1': 64, 'filter_unit2': 128, 'filter_unit3': 128, 'filter_unit4': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 3, 'pool_size0': 1, 'pool_size1': 4, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 1, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 2, 'stride_size4': 1, 'dropout0': 0.1, 'dropout1': 0.2, 'dropout2': 0.4, 'dropout3': 0.30000000000000004, 'dropout4': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 11s - loss: 19.1963
4/4 [==============================] - ETA: 0s - loss: 17.5273 WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 4s 64ms/step - loss: 17.5273 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.5220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 14.8971 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 12.5949 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 10.4140 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 8.5619 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 7.3272 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 6.1436 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 5.3974 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 5.1609 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.2694 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.9998 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.8127 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.5175 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.4329 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.4144 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.2270 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.2823 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.0474 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.9430 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.1650 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.9746 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 4.0536 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.6819 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.5798 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.3585 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.6562 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.3320 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.7169 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.3742 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.2539 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2985 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.4787 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1323 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.3391 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2984 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.8737 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.2414 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.2210 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1510 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.0738 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.0529 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.3188 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.2164 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1595 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1919 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.3103 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.7489 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0064 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0272 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.9096 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0969 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1042 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8806 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.0289 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0187 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7336 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.9910 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6920 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.9224 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.8151 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0252 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8250 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.6550 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6999 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5385 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.8841 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.6152 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.6424 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6778 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7786 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6526 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5905 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5926 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6277 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.7006 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.6250 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5057 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.8349 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5293 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5344 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.7291 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.7903 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.7052 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3406 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4968 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2369 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4640 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0591 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6822 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3229 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5078 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3281 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5722 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5654 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4732 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4353 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3532 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3309 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3135 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4154 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2395 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4165 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5201 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3968 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2454 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2407 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 1.9628 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5140 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3144 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3554 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5097 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3420 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4206 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1941 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1181 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3032 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4272 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2154 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5482 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4304 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1019 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3494 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3564 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1659 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3468 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3052 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1941 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1417 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3233 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1826 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1544 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1607 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0546 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2940 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2682 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2201 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1729 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 1.9950 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4766 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3629 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2677 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4151 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1545 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2610 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1620 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3722 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0575 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3684 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0038 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2737 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2246 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3471 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2883 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2293 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2079 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2946 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0615 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4321 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4024 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2477 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.5086 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5190 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0447 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2682 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2608 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3815 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1336 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2283 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.3838 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4001 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4318 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0505 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1391 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.0797 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4391 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3421 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4186 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1318 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3465 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3127 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3502 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3633 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1335 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0482 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1420 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3266 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3257 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4707 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1334 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 1.9758 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1715 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.4160 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.1706 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3726 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5083 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5876 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1494 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1555 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1972 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8770 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 32, 'filter_unit1': 64, 'filter_unit2': 128, 'filter_unit3': 128, 'filter_unit4': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 3, 'pool_size0': 1, 'pool_size1': 4, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 1, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 2, 'stride_size4': 1, 'dropout0': 0.1, 'dropout1': 0.2, 'dropout2': 0.4, 'dropout3': 0.30000000000000004, 'dropout4': 0.2}
1/31 [..............................] - ETA: 12s
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25/31 [=======================>......] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 1s 6ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
411 Pilot03 1 cnn1d ... -3.402158 -0.116051 0.000276
412 Pilot03 1 cnn1d ... -4.348453 -0.006533 0.838325
413 Pilot03 1 cnn1d ... -1.288409 -0.092364 0.003840
414 Pilot03 1 cnn1d ... -0.496722 -0.033364 0.297250
415 Pilot03 1 cnn1d ... -0.803158 -0.073240 0.021987
[416 rows x 18 columns]
imu_rr_Pilot03_id1_combi7.0-10.0-12.0-15.0-17.0
train
(36035, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (121, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
3 |3 |kernel_size0
5 |5 |kernel_size1
1 |1 |pool_size0
2 |2 |pool_size1
1 |1 |stride_size0
5 |5 |stride_size1
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0034s vs `on_train_batch_end` time: 0.0208s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0034s vs `on_train_batch_end` time: 0.0208s). Check your callbacks.
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 16.715320587158203
Best val_loss So Far: 16.715320587158203
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |256 |filter_unit0
5 |3 |kernel_size0
2 |1 |pool_size0
5 |1 |stride_size0
0.3 |0.1 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0060s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0060s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 16.828914642333984
Best val_loss So Far: 16.715320587158203
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
5 |5 |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |1 |pool_size0
5 |2 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
1 |1 |stride_size0
1 |5 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0 |0.1 |dropout0
0.3 |0.4 |dropout1
0 |None |dropout2
0.1 |None |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0046s vs `on_train_batch_end` time: 0.0153s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0046s vs `on_train_batch_end` time: 0.0153s). Check your callbacks.
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 16.491661071777344
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
5 |2 |kernel_size0
4 |3 |pool_size0
3 |1 |stride_size0
0.4 |0 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0027s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0027s). Check your callbacks.
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 16.885848999023438
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |64 |filter_unit0
128 |256 |filter_unit1
128 |64 |filter_unit2
128 |32 |filter_unit3
32 |None |filter_unit4
4 |2 |kernel_size0
5 |5 |kernel_size1
2 |4 |kernel_size2
5 |4 |kernel_size3
5 |None |kernel_size4
3 |3 |pool_size0
2 |5 |pool_size1
2 |1 |pool_size2
2 |2 |pool_size3
2 |None |pool_size4
1 |1 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
5 |4 |stride_size3
5 |None |stride_size4
0.1 |0 |dropout0
0.1 |0.3 |dropout1
0.4 |0 |dropout2
0 |0.1 |dropout3
0 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 16.786399841308594
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |64 |filter_unit0
64 |256 |filter_unit1
128 |64 |filter_unit2
32 |32 |filter_unit3
64 |None |filter_unit4
4 |2 |kernel_size0
3 |5 |kernel_size1
2 |4 |kernel_size2
3 |4 |kernel_size3
2 |None |kernel_size4
5 |3 |pool_size0
4 |5 |pool_size1
2 |1 |pool_size2
2 |2 |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
2 |1 |stride_size1
1 |4 |stride_size2
4 |4 |stride_size3
4 |None |stride_size4
0.1 |0 |dropout0
0.1 |0.3 |dropout1
0.1 |0 |dropout2
0.3 |0.1 |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 16.832788467407227
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |64 |filter_unit0
32 |256 |filter_unit1
128 |64 |filter_unit2
1 |2 |kernel_size0
4 |5 |kernel_size1
4 |4 |kernel_size2
3 |3 |pool_size0
2 |5 |pool_size1
2 |1 |pool_size2
5 |1 |stride_size0
4 |1 |stride_size1
1 |4 |stride_size2
0.1 |0 |dropout0
0.1 |0.3 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 17.115550994873047
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
64 |256 |filter_unit1
256 |64 |filter_unit2
32 |32 |filter_unit3
64 |None |filter_unit4
1 |2 |kernel_size0
1 |5 |kernel_size1
1 |4 |kernel_size2
5 |4 |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
2 |5 |pool_size1
1 |1 |pool_size2
4 |2 |pool_size3
1 |None |pool_size4
2 |1 |stride_size0
5 |1 |stride_size1
1 |4 |stride_size2
3 |4 |stride_size3
2 |None |stride_size4
0.1 |0 |dropout0
0.3 |0.3 |dropout1
0 |0 |dropout2
0.4 |0.1 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 16.653030395507812
Best val_loss So Far: 16.491661071777344
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |64 |filter_unit0
32 |256 |filter_unit1
128 |64 |filter_unit2
2 |2 |kernel_size0
5 |5 |kernel_size1
3 |4 |kernel_size2
3 |3 |pool_size0
5 |5 |pool_size1
1 |1 |pool_size2
5 |1 |stride_size0
4 |1 |stride_size1
2 |4 |stride_size2
0.4 |0 |dropout0
0.2 |0.3 |dropout1
0.3 |0 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 16.341289520263672
Best val_loss So Far: 16.341289520263672
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |256 |filter_unit0
128 |32 |filter_unit1
256 |128 |filter_unit2
1 |2 |kernel_size0
3 |5 |kernel_size1
3 |3 |kernel_size2
1 |3 |pool_size0
3 |5 |pool_size1
4 |1 |pool_size2
4 |5 |stride_size0
4 |4 |stride_size1
5 |2 |stride_size2
0.4 |0.4 |dropout0
0.4 |0.2 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 16.209213256835938
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |64 |filter_unit0
1 |1 |kernel_size0
2 |1 |pool_size0
4 |4 |stride_size0
0.1 |0.4 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0026s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0022s vs `on_train_batch_end` time: 0.0026s). Check your callbacks.
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 17.018312454223633
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |64 |filter_unit0
4 |1 |kernel_size0
2 |1 |pool_size0
2 |4 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 02s]
val_loss: 17.6906795501709
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |64 |filter_unit0
64 |128 |filter_unit1
128 |256 |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
4 |1 |kernel_size0
3 |3 |kernel_size1
3 |3 |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
2 |1 |pool_size0
1 |3 |pool_size1
3 |4 |pool_size2
5 |None |pool_size3
1 |None |pool_size4
3 |4 |stride_size0
4 |4 |stride_size1
3 |5 |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.3 |0.4 |dropout0
0.3 |0.4 |dropout1
0.1 |0.2 |dropout2
0.3 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 16.74924659729004
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
32 |128 |filter_unit1
256 |256 |filter_unit2
256 |None |filter_unit3
3 |1 |kernel_size0
5 |3 |kernel_size1
3 |3 |kernel_size2
4 |None |kernel_size3
1 |1 |pool_size0
3 |3 |pool_size1
3 |4 |pool_size2
4 |None |pool_size3
3 |4 |stride_size0
1 |4 |stride_size1
3 |5 |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0.3 |0.4 |dropout1
0.4 |0.2 |dropout2
0.1 |None |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0096s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0096s). Check your callbacks.
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 16.641010284423828
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 01s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |64 |filter_unit0
256 |128 |filter_unit1
128 |256 |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |1 |kernel_size0
5 |3 |kernel_size1
3 |3 |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
2 |1 |pool_size0
2 |3 |pool_size1
3 |4 |pool_size2
5 |None |pool_size3
5 |None |pool_size4
3 |4 |stride_size0
4 |4 |stride_size1
5 |5 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.2 |0.4 |dropout0
0.3 |0.4 |dropout1
0.3 |0.2 |dropout2
0.3 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 07s]
val_loss: 16.45110511779785
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 08s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |1 |kernel_size0
1 |3 |kernel_size1
3 |3 |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
2 |3 |pool_size1
2 |4 |pool_size2
4 |None |pool_size3
5 |None |pool_size4
1 |4 |stride_size0
5 |4 |stride_size1
5 |5 |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0.2 |0.4 |dropout0
0 |0.4 |dropout1
0.4 |0.2 |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0159s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0159s). Check your callbacks.
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 16.730897903442383
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
32 |256 |filter_unit2
128 |None |filter_unit3
2 |1 |kernel_size0
1 |3 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
4 |3 |pool_size1
2 |4 |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
4 |4 |stride_size1
5 |5 |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |0.4 |dropout1
0.4 |0.2 |dropout2
0 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 16.488689422607422
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 19s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |64 |filter_unit0
32 |128 |filter_unit1
32 |256 |filter_unit2
32 |None |filter_unit3
2 |1 |kernel_size0
5 |3 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
1 |1 |pool_size0
3 |3 |pool_size1
5 |4 |pool_size2
4 |None |pool_size3
5 |4 |stride_size0
2 |4 |stride_size1
2 |5 |stride_size2
5 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |0.4 |dropout1
0.1 |0.2 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 16.64971160888672
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 23s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |64 |filter_unit0
1 |1 |kernel_size0
3 |1 |pool_size0
3 |4 |stride_size0
0.4 |0.4 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0063s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0063s). Check your callbacks.
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 17.44386863708496
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 26s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
64 |256 |filter_unit2
128 |None |filter_unit3
4 |1 |kernel_size0
3 |3 |kernel_size1
1 |3 |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
5 |3 |pool_size1
1 |4 |pool_size2
2 |None |pool_size3
2 |4 |stride_size0
3 |4 |stride_size1
3 |5 |stride_size2
4 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |0.4 |dropout1
0.1 |0.2 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 16.867652893066406
Best val_loss So Far: 16.209213256835938
Total elapsed time: 00h 01m 31s
{'n_layers': 3, 'filter_unit0': 64, 'filter_unit1': 128, 'filter_unit2': 256, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 3, 'pool_size0': 1, 'pool_size1': 3, 'pool_size2': 4, 'stride_size0': 4, 'stride_size1': 4, 'stride_size2': 5, 'dropout0': 0.4, 'dropout1': 0.4, 'dropout2': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 8.2137
4/4 [==============================] - ETA: 0s - loss: 8.0622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 108ms/step - loss: 8.0622 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.6570 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.0855 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1656 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5315 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7065 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6090 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5930 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2460 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3772 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2198 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2032 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3111 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3434 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8682 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9386 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9417 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0456 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7320 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1796 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0634 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7382 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9620 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7575 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6108 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0355 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7877WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8001 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7507 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7137 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8007 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0694 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9322 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5565 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.8929 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5896 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6691 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5713 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5183 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5002 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4379 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5536 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5965 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4002 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4562 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7906 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3377 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3249 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7706 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4795 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6262 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6055 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6059 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5537 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3071 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6665 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3077 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4287 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3677 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3332 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3604 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4405 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0232 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5056 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6037 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5409 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3251 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4085 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4920 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4650 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3017 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4842 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4519 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2658 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2326 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2229 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3665 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3732 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1375 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4019 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5532 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2576 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5090 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4453 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4973 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0815 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6320 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1070 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1524 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1887 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2577 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2050 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2128 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0107 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0514 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1349 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2294 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2565 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2692 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0071 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0687 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3192 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0991 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1751 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5747 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0382 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2073 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3517 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0290 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0530 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0876 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0472 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2070 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2135 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2337 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1458 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2308WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3477 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0780 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9690 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2256 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0988 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4539 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9354 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0465 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2537 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8939 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2072 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2089 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1210 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0019 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1438 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3700 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3182 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2615 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1857 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1858 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0153 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9062 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1367 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0501 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2032 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1046 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8915 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1357 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0158 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1805 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0299 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2184 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4278 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2348 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4938 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0643 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1498 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1275 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2616 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0570 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1048 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2062 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2005 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2363 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2884 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2910 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4206 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8777 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1816 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9560 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5267 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0060 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0613 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0306 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0913 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0492 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7901 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0428 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0191 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9820 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0411 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1237 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1907 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0100 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3129 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0708 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1138 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1553 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3678 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3347 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3383 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1237 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9824 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0028 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0138 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1707 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2709 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9138 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0702 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2785 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0284 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1878 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2421 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1218 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3754 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 64, 'filter_unit1': 128, 'filter_unit2': 256, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 3, 'pool_size0': 1, 'pool_size1': 3, 'pool_size2': 4, 'stride_size0': 4, 'stride_size1': 4, 'stride_size2': 5, 'dropout0': 0.4, 'dropout1': 0.4, 'dropout2': 0.2}
1/31 [..............................] - ETA: 8s
30/31 [============================>.] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
412 Pilot03 1 cnn1d ... -4.348453 -0.006533 0.838325
413 Pilot03 1 cnn1d ... -1.288409 -0.092364 0.003840
414 Pilot03 1 cnn1d ... -0.496722 -0.033364 0.297250
415 Pilot03 1 cnn1d ... -0.803158 -0.073240 0.021987
416 Pilot03 1 cnn1d ... -2.476862 -0.062145 0.052033
[417 rows x 18 columns]
imu_rr_Pilot03_id1_combi7.0-10.0-12.0-15.0-20.0
train
(36155, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
32 |32 |filter_unit2
4 |4 |kernel_size0
5 |5 |kernel_size1
3 |3 |kernel_size2
1 |1 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
3 |3 |stride_size0
1 |1 |stride_size1
1 |1 |stride_size2
0.2 |0.2 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 18.621458053588867
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
32 |32 |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
2 |4 |kernel_size0
3 |5 |kernel_size1
5 |3 |kernel_size2
4 |None |kernel_size3
1 |None |kernel_size4
5 |1 |pool_size0
1 |2 |pool_size1
3 |5 |pool_size2
5 |None |pool_size3
2 |None |pool_size4
2 |3 |stride_size0
2 |1 |stride_size1
2 |1 |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0 |0.2 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 18.73365592956543
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
128 |32 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
4 |4 |kernel_size0
5 |5 |kernel_size1
5 |3 |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
3 |1 |pool_size0
3 |2 |pool_size1
1 |5 |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |3 |stride_size0
2 |1 |stride_size1
5 |1 |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
0.4 |0 |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 08s]
val_loss: 18.74707794189453
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 19s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
128 |256 |filter_unit1
128 |32 |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |4 |kernel_size0
3 |5 |kernel_size1
5 |3 |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
3 |1 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
2 |None |pool_size3
1 |None |pool_size4
4 |3 |stride_size0
2 |1 |stride_size1
1 |1 |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.4 |0.4 |dropout1
0.2 |0 |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.10284996032715
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 25s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |256 |filter_unit0
128 |256 |filter_unit1
32 |32 |filter_unit2
64 |None |filter_unit3
4 |4 |kernel_size0
5 |5 |kernel_size1
4 |3 |kernel_size2
1 |None |kernel_size3
1 |1 |pool_size0
4 |2 |pool_size1
3 |5 |pool_size2
4 |None |pool_size3
3 |3 |stride_size0
3 |1 |stride_size1
3 |1 |stride_size2
3 |None |stride_size3
0.2 |0.2 |dropout0
0.3 |0.4 |dropout1
0.2 |0 |dropout2
0 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 18.861906051635742
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 31s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
4 |4 |kernel_size0
4 |5 |kernel_size1
4 |1 |pool_size0
5 |2 |pool_size1
3 |3 |stride_size0
1 |1 |stride_size1
0.3 |0.2 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.438125610351562
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 35s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
256 |32 |filter_unit2
2 |4 |kernel_size0
1 |5 |kernel_size1
2 |3 |kernel_size2
1 |1 |pool_size0
4 |2 |pool_size1
2 |5 |pool_size2
5 |3 |stride_size0
1 |1 |stride_size1
3 |1 |stride_size2
0.1 |0.2 |dropout0
0 |0.4 |dropout1
0 |0 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 19.08382225036621
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 39s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
32 |256 |filter_unit1
128 |32 |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
4 |4 |kernel_size0
1 |5 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
2 |1 |pool_size0
3 |2 |pool_size1
5 |5 |pool_size2
4 |None |pool_size3
2 |None |pool_size4
1 |3 |stride_size0
2 |1 |stride_size1
5 |1 |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.3 |0.2 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.105005264282227
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 45s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |256 |filter_unit0
4 |4 |kernel_size0
5 |1 |pool_size0
2 |3 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.1149959564209
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 48s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
32 |256 |filter_unit1
64 |32 |filter_unit2
32 |None |filter_unit3
2 |4 |kernel_size0
3 |5 |kernel_size1
2 |3 |kernel_size2
2 |None |kernel_size3
4 |1 |pool_size0
3 |2 |pool_size1
5 |5 |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
1 |1 |stride_size1
3 |1 |stride_size2
3 |None |stride_size3
0 |0.2 |dropout0
0.3 |0.4 |dropout1
0.2 |0 |dropout2
0 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 19.051992416381836
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 00m 54s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
32 |256 |filter_unit1
256 |32 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
2 |4 |kernel_size0
5 |5 |kernel_size1
5 |3 |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
2 |2 |pool_size1
1 |5 |pool_size2
4 |None |pool_size3
3 |None |pool_size4
4 |3 |stride_size0
5 |1 |stride_size1
1 |1 |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0.3 |0.2 |dropout0
0 |0.4 |dropout1
0.2 |0 |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 07s]
val_loss: 18.745906829833984
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 00s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
128 |32 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
1 |4 |kernel_size0
2 |5 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
5 |1 |pool_size0
4 |2 |pool_size1
2 |5 |pool_size2
4 |None |pool_size3
2 |None |pool_size4
4 |3 |stride_size0
3 |1 |stride_size1
3 |1 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |0.4 |dropout1
0.2 |0 |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.0291805267334
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 06s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
32 |256 |filter_unit1
64 |32 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
1 |5 |kernel_size1
5 |3 |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
2 |1 |pool_size0
1 |2 |pool_size1
2 |5 |pool_size2
2 |None |pool_size3
2 |None |pool_size4
5 |3 |stride_size0
5 |1 |stride_size1
3 |1 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.3 |0.2 |dropout0
0.4 |0.4 |dropout1
0.1 |0 |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.059494018554688
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 11s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
128 |256 |filter_unit1
256 |32 |filter_unit2
2 |4 |kernel_size0
3 |5 |kernel_size1
2 |3 |kernel_size2
4 |1 |pool_size0
4 |2 |pool_size1
2 |5 |pool_size2
5 |3 |stride_size0
1 |1 |stride_size1
3 |1 |stride_size2
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 18.793275833129883
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 16s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
256 |256 |filter_unit1
128 |32 |filter_unit2
1 |4 |kernel_size0
2 |5 |kernel_size1
4 |3 |kernel_size2
2 |1 |pool_size0
2 |2 |pool_size1
4 |5 |pool_size2
5 |3 |stride_size0
4 |1 |stride_size1
5 |1 |stride_size2
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 18.796293258666992
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 21s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
32 |256 |filter_unit1
3 |4 |kernel_size0
1 |5 |kernel_size1
4 |1 |pool_size0
3 |2 |pool_size1
1 |3 |stride_size0
2 |1 |stride_size1
0.1 |0.2 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 18.676435470581055
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 24s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
1 |4 |kernel_size0
3 |5 |kernel_size1
1 |1 |pool_size0
3 |2 |pool_size1
1 |3 |stride_size0
2 |1 |stride_size1
0 |0.2 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 19.729097366333008
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 27s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
32 |256 |filter_unit1
64 |32 |filter_unit2
5 |4 |kernel_size0
1 |5 |kernel_size1
4 |3 |kernel_size2
4 |1 |pool_size0
1 |2 |pool_size1
4 |5 |pool_size2
4 |3 |stride_size0
4 |1 |stride_size1
2 |1 |stride_size2
0.1 |0.2 |dropout0
0.1 |0.4 |dropout1
0 |0 |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 18.761493682861328
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 31s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |256 |filter_unit0
128 |256 |filter_unit1
3 |4 |kernel_size0
4 |5 |kernel_size1
3 |1 |pool_size0
5 |2 |pool_size1
4 |3 |stride_size0
1 |1 |stride_size1
0.2 |0.2 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 20.282575607299805
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 34s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |256 |filter_unit0
128 |256 |filter_unit1
32 |32 |filter_unit2
32 |None |filter_unit3
4 |4 |kernel_size0
4 |5 |kernel_size1
4 |3 |kernel_size2
4 |None |kernel_size3
4 |1 |pool_size0
3 |2 |pool_size1
4 |5 |pool_size2
4 |None |pool_size3
2 |3 |stride_size0
5 |1 |stride_size1
4 |1 |stride_size2
3 |None |stride_size3
0.3 |0.2 |dropout0
0.3 |0.4 |dropout1
0.4 |0 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.252548217773438
Best val_loss So Far: 18.621458053588867
Total elapsed time: 00h 01m 40s
{'n_layers': 3, 'filter_unit0': 256, 'filter_unit1': 256, 'filter_unit2': 32, 'kernel_size0': 4, 'kernel_size1': 5, 'kernel_size2': 3, 'pool_size0': 1, 'pool_size1': 2, 'pool_size2': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 4.3995
4/4 [==============================] - ETA: 0s - loss: 4.7207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 58ms/step - loss: 4.7207 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 4.2720 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.9576 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.8046 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.3978 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.2573 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.9966 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.0487 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.0097 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 3.1105 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.8273 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.9152 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.8657 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.5022 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.4587 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.5301 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.4232 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.2990 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.3012 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.4076 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.1933 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.2240 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.1116 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0539 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.1042 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0907 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.1572 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0364 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0600 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0903 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.1777 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0780 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.9805 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.9859 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7512 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7102 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7841 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7524 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0233 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.8713 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6481 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.9298 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7229 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7169 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6632 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7830 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6335 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6178 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7954 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6544 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7157 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5476 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6231 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5877 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6049 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6087 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5598 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4615 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2479 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4977 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5307 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6800 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4055 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4496 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3918 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6336 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4630 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4026 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4614 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5492 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3580 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4695 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1973 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4983 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2496 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5688 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3657 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.5015 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4253 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2118 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2954 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4954 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4128 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4667 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2877 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3238 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.6819 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4577 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3681 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4404 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3380 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3823 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4367 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2850 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2389 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2820 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0079 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3212 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1339 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3607 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4174 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3584 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3480 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2646 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1897 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3521 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0942 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1502 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3072 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1923 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2033 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2731 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2472 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2805 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2028 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2700 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1544 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2019 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2369 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3539 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1667 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1298 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1648 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3055 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2206 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3030 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0969 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2293 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2200 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1773 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0925 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3188 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2876 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3520 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2565 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3027 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2047 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2895 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1579 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3169 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2240 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2381 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2504 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1071 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1213 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1835 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1411 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0682 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1195 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1881 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0573 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1812 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2488 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1471 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0702 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2513 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2197 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2106 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2224 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0461 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2170 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2180 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0490 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0833 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2573 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2055 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2197 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3750 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2174 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2037 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3034 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1701 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1332 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2993 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3901 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3379 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1513 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2249 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3049 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1873 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.3541 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2261 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0893 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1955 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1473 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1430 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1784 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4268 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2695 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2392 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2023 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2838 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1819 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0443 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1592 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0272 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.2149 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1388 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.1135 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0459 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 256, 'filter_unit1': 256, 'filter_unit2': 32, 'kernel_size0': 4, 'kernel_size1': 5, 'kernel_size2': 3, 'pool_size0': 1, 'pool_size1': 2, 'pool_size2': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.0}
1/31 [..............................] - ETA: 8s
12/31 [==========>...................] - ETA: 0s
23/31 [=====================>........] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 7ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
413 Pilot03 1 cnn1d ... -1.288409 -0.092364 0.003840
414 Pilot03 1 cnn1d ... -0.496722 -0.033364 0.297250
415 Pilot03 1 cnn1d ... -0.803158 -0.073240 0.021987
416 Pilot03 1 cnn1d ... -2.476862 -0.062145 0.052033
417 Pilot03 1 cnn1d ... -1.994772 -0.060007 0.060671
[418 rows x 18 columns]
imu_rr_Pilot03_id1_combi7.0-10.0-12.0-17.0-20.0
train
(36035, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
64 |64 |filter_unit1
2 |2 |kernel_size0
1 |1 |kernel_size1
3 |3 |pool_size0
5 |5 |pool_size1
4 |4 |stride_size0
3 |3 |stride_size1
0.2 |0.2 |dropout0
0.2 |0.2 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 19.730777740478516
Best val_loss So Far: 19.730777740478516
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
5 |2 |kernel_size0
1 |3 |pool_size0
4 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 18.01666259765625
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
5 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
4 |4 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
0.2 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.537370681762695
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
5 |1 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.1 |0.2 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.679929733276367
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
4 |5 |kernel_size0
4 |None |kernel_size1
3 |1 |pool_size0
3 |None |pool_size1
5 |4 |stride_size0
2 |None |stride_size1
0.2 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.846820831298828
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |5 |kernel_size0
1 |1 |pool_size0
2 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 02s]
val_loss: 20.681333541870117
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 23s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
4 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
5 |1 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
5 |4 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.2 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.84053611755371
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
4 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
5 |None |pool_size4
5 |4 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.2 |0.2 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.907957077026367
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |5 |kernel_size0
5 |1 |pool_size0
4 |4 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.91168975830078
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
4 |4 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.4 |0.2 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.44683265686035
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
2 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
4 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.4 |0.2 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.426252365112305
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
5 |5 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
4 |4 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0 |0.2 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.590206146240234
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |5 |kernel_size0
4 |1 |pool_size0
1 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 20.531511306762695
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
5 |5 |kernel_size0
4 |1 |pool_size0
1 |4 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 18.073728561401367
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 00m 59s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.80864143371582
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |5 |kernel_size0
1 |1 |pool_size0
4 |4 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.31573486328125
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
2 |5 |kernel_size0
3 |None |kernel_size1
3 |1 |pool_size0
3 |None |pool_size1
2 |4 |stride_size0
2 |None |stride_size1
0.1 |0.2 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 20.56548500061035
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 12s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
4 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0 |0.2 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.697202682495117
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 17s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
5 |5 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |1 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.740610122680664
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
3 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
2 |1 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |4 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.2 |0.2 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.281476974487305
Best val_loss So Far: 18.01666259765625
Total elapsed time: 00h 01m 26s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 20.3770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 11ms/step - loss: 19.0235 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 19.1497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.6690 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 17.7043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.3592 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 17.9475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.9136 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 16.9984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.5057 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.1814 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.6731 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 16.3978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.2480 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.8560 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.4607 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 15.5813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.1928 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.7166 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.1374 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.7489 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.4388 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8634 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.4237 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.1137 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.7172 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.2645 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.8782 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3746 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.0776 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7563 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2198 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.8383 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5930 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2955 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9035 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4312 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0776 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9654 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6657 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2820 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1558 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8097 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6387 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5878 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3939 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1003 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1766 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8223 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7115 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6294 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5380 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3754 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2201 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1087 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1550 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9990 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1143 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9788 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7549 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7903 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6786 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8815 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5811 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6706 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5762 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4740 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4880 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4111 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5400 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3614 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4250 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3009 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2394 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1651 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2883 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3311 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0076 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0459 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1148 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0776 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9713 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9505 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0706 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1107 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1405 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8440 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9924 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9251 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7571 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8987 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9910 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7589 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6530 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8535 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6564 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7165 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7277 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7601 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7048 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7570 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6056 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5698 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6274 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8381 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5866 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3549 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8886 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7860 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3723 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6683 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4378 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5584 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5473 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5740 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6375 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4809 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4960 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6017 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5977 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5408 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4493 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3183 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5455 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5887 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6976 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4907 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6686 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4352 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5315 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3782 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4570 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4187 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6897 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4729 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5211 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4628 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5130 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3997 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5290 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5589 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5888 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4031 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4802 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7438 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4586 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5714 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5908 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4121 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5998 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4585 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5345 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6328 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6166 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5535 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5998 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4475 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3104 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5539 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4666 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4628 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4593 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4332 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3332 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5115 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4547 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4022 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4769 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4732 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4597 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.2234 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4461 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4723 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4895 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5948 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6060 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5398 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3906 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4003 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4718 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3494 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4443 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4211 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5975 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6498 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4851 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4176 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4518 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5022 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5231 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5332 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4389 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5440 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5175 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3943 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5103 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5133 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5550 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5925 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4453 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4884 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5943 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5064 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6089 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6771 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.5086 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.4297 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.2}
1/31 [..............................] - ETA: 3s
31/31 [==============================] - 0s 1ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
414 Pilot03 1 cnn1d ... -0.496722 -0.033364 0.297250
415 Pilot03 1 cnn1d ... -0.803158 -0.073240 0.021987
416 Pilot03 1 cnn1d ... -2.476862 -0.062145 0.052033
417 Pilot03 1 cnn1d ... -1.994772 -0.060007 0.060671
418 Pilot03 1 cnn1d ... -0.789451 -0.088140 0.005811
[419 rows x 18 columns]
imu_rr_Pilot03_id1_combi7.0-10.0-15.0-17.0-20.0
train
(36155, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
1 |1 |kernel_size0
2 |2 |pool_size0
2 |2 |stride_size0
0.3 |0.3 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.47269630432129
Best val_loss So Far: 19.47269630432129
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
3 |1 |kernel_size0
2 |2 |pool_size0
2 |2 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 19.095365524291992
Best val_loss So Far: 19.095365524291992
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
4 |3 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
3 |2 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
1 |2 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.3 |0.1 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 07s]
val_loss: 19.327608108520508
Best val_loss So Far: 19.095365524291992
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
2 |3 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
4 |2 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
2 |2 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0.4 |0.1 |dropout0
0.2 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.862272262573242
Best val_loss So Far: 19.095365524291992
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
1 |3 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
3 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
4 |2 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.2 |0.1 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 18.6304988861084
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
2 |1 |kernel_size0
1 |3 |kernel_size1
5 |3 |pool_size0
3 |1 |pool_size1
1 |4 |stride_size0
2 |4 |stride_size1
0.4 |0.2 |dropout0
0.2 |0.3 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 20.58851432800293
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |128 |filter_unit0
128 |64 |filter_unit1
5 |1 |kernel_size0
1 |3 |kernel_size1
5 |3 |pool_size0
1 |1 |pool_size1
3 |4 |stride_size0
1 |4 |stride_size1
0.4 |0.2 |dropout0
0.4 |0.3 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 20.147287368774414
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |128 |filter_unit0
32 |64 |filter_unit1
128 |256 |filter_unit2
3 |1 |kernel_size0
1 |3 |kernel_size1
2 |4 |kernel_size2
2 |3 |pool_size0
3 |1 |pool_size1
3 |3 |pool_size2
1 |4 |stride_size0
2 |4 |stride_size1
4 |2 |stride_size2
0.1 |0.2 |dropout0
0.4 |0.3 |dropout1
0.2 |0.2 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.927770614624023
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
128 |64 |filter_unit1
256 |256 |filter_unit2
4 |1 |kernel_size0
2 |3 |kernel_size1
5 |4 |kernel_size2
5 |3 |pool_size0
5 |1 |pool_size1
5 |3 |pool_size2
4 |4 |stride_size0
3 |4 |stride_size1
1 |2 |stride_size2
0.1 |0.2 |dropout0
0.4 |0.3 |dropout1
0 |0.2 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.3336124420166
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
128 |256 |filter_unit2
64 |128 |filter_unit3
256 |None |filter_unit4
3 |1 |kernel_size0
4 |3 |kernel_size1
3 |4 |kernel_size2
2 |5 |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
4 |1 |pool_size1
3 |3 |pool_size2
2 |4 |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
3 |4 |stride_size1
3 |2 |stride_size2
5 |5 |stride_size3
5 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |0.3 |dropout1
0.2 |0.2 |dropout2
0 |0.2 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 08s]
val_loss: 19.838232040405273
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |128 |filter_unit0
2 |1 |kernel_size0
4 |3 |pool_size0
5 |4 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 20.448659896850586
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |128 |filter_unit0
128 |64 |filter_unit1
3 |1 |kernel_size0
1 |3 |kernel_size1
3 |3 |pool_size0
1 |1 |pool_size1
4 |4 |stride_size0
3 |4 |stride_size1
0 |0.2 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.71567726135254
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
32 |256 |filter_unit2
32 |128 |filter_unit3
64 |None |filter_unit4
2 |1 |kernel_size0
1 |3 |kernel_size1
2 |4 |kernel_size2
3 |5 |kernel_size3
5 |None |kernel_size4
4 |3 |pool_size0
3 |1 |pool_size1
2 |3 |pool_size2
3 |4 |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
1 |4 |stride_size1
2 |2 |stride_size2
1 |5 |stride_size3
2 |None |stride_size4
0.3 |0.2 |dropout0
0.4 |0.3 |dropout1
0 |0.2 |dropout2
0.1 |0.2 |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 09s]
val_loss: 19.870729446411133
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 04s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |128 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
128 |128 |filter_unit3
256 |None |filter_unit4
1 |1 |kernel_size0
4 |3 |kernel_size1
3 |4 |kernel_size2
1 |5 |kernel_size3
5 |None |kernel_size4
3 |3 |pool_size0
1 |1 |pool_size1
4 |3 |pool_size2
3 |4 |pool_size3
1 |None |pool_size4
3 |4 |stride_size0
4 |4 |stride_size1
5 |2 |stride_size2
1 |5 |stride_size3
5 |None |stride_size4
0.3 |0.2 |dropout0
0 |0.3 |dropout1
0.2 |0.2 |dropout2
0 |0.2 |dropout3
0 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 08s]
val_loss: 19.798786163330078
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 12s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |128 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
3 |1 |kernel_size0
1 |3 |kernel_size1
3 |4 |kernel_size2
3 |3 |pool_size0
5 |1 |pool_size1
1 |3 |pool_size2
4 |4 |stride_size0
2 |4 |stride_size1
5 |2 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.3 |dropout1
0 |0.2 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 18.777660369873047
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 17s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |128 |filter_unit0
32 |64 |filter_unit1
1 |1 |kernel_size0
4 |3 |kernel_size1
3 |3 |pool_size0
5 |1 |pool_size1
2 |4 |stride_size0
4 |4 |stride_size1
0.3 |0.2 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 20.231584548950195
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 22s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
3 |1 |kernel_size0
2 |3 |kernel_size1
2 |3 |pool_size0
2 |1 |pool_size1
5 |4 |stride_size0
3 |4 |stride_size1
0.3 |0.2 |dropout0
0.2 |0.3 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 20.457571029663086
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 25s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
5 |1 |kernel_size0
3 |3 |pool_size0
5 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 23.188745498657227
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 28s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |128 |filter_unit0
1 |1 |kernel_size0
2 |3 |pool_size0
3 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.667078018188477
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 33s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
256 |256 |filter_unit2
256 |128 |filter_unit3
128 |None |filter_unit4
5 |1 |kernel_size0
5 |3 |kernel_size1
2 |4 |kernel_size2
5 |5 |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
2 |1 |pool_size1
3 |3 |pool_size2
1 |4 |pool_size3
2 |None |pool_size4
1 |4 |stride_size0
2 |4 |stride_size1
5 |2 |stride_size2
3 |5 |stride_size3
2 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |0.3 |dropout1
0.3 |0.2 |dropout2
0.3 |0.2 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 19.765390396118164
Best val_loss So Far: 18.6304988861084
Total elapsed time: 00h 01m 41s
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 5, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 4, 'stride_size2': 2, 'stride_size3': 5, 'dropout0': 0.2, 'dropout1': 0.30000000000000004, 'dropout2': 0.2, 'dropout3': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 11.8465
4/4 [==============================] - ETA: 0s - loss: 12.5056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 4s 98ms/step - loss: 12.5056 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.1045 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 9.6878 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 8.3643 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 7.3430 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.8031 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.0015 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.3782 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.4524 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.0354 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.7621 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.4636 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3588 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.6564 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3444 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.5862 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0141 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5181 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8015 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4273 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7539 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2150 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4145 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5393 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7736 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5461 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1862 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9381 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5748 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9772 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6361 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7947 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5834 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0965 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2927 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2323 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7992 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0901 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3689 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2730 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0525 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2425 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9162 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0296 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7053 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4982 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8551 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7060 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6492 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5227 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0872 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7738 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7030 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3425 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4801 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6503 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4552 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2884 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4040 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5451 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7342 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8149 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2176 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8804 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5591 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2876 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4253 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5074 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7910 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6062 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4396 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5114 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5720 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5140 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5228 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5215 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6518 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2206 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1848 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2829 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4460 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3246 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3500 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1248 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4283 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1831 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0809 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3267 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1950 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1092 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3040 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2628 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4611 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0371 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1358 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2764 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2524 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2234 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0918 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2100 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0943 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3017 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9472 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2791 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4192 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9987 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8048 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0579 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0970 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1827 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9138 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0129 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0175 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2304 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1363 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0134 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0428 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0584 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0768 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1279 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9010 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9576 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9660 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0866 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3396 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1100 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9868 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9858 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0880 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0544 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0267 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9778 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0440 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0289 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8877 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0196 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1621 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3192 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7600 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1627 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9964 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2849 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1607 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2302 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4154 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0482 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4199 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0173 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2184 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2919 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8931 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1892 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2693 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9919 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2250 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0900 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1033 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0019 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1936 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8949 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0715 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1638 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0822 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9283 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1651 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8780 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3677 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0372 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9075 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2624 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2737 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1175 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8872 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1542 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1594 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9893 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1290 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2744 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0800 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1032 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9188 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2728 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2139 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0894 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0875 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9525 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7163 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0013 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2881 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2193 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0209 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0445 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2973 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1648 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1265 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3348 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3067 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1659 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2478 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0067 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 5, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 4, 'stride_size2': 2, 'stride_size3': 5, 'dropout0': 0.2, 'dropout1': 0.30000000000000004, 'dropout2': 0.2, 'dropout3': 0.2}
1/31 [..............................] - ETA: 11s
24/31 [======================>.......] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 1s 4ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
415 Pilot03 1 cnn1d ... -0.803158 -0.073240 0.021987
416 Pilot03 1 cnn1d ... -2.476862 -0.062145 0.052033
417 Pilot03 1 cnn1d ... -1.994772 -0.060007 0.060671
418 Pilot03 1 cnn1d ... -0.789451 -0.088140 0.005811
419 Pilot03 1 cnn1d ... -0.390839 -0.066484 0.037637
[420 rows x 18 columns]
imu_rr_Pilot03_id1_combi7.0-12.0-15.0-17.0-20.0
train
(36155, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (116, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
64 |64 |filter_unit2
32 |32 |filter_unit3
2 |2 |kernel_size0
5 |5 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
3 |3 |pool_size0
5 |5 |pool_size1
1 |1 |pool_size2
2 |2 |pool_size3
1 |1 |stride_size0
1 |1 |stride_size1
4 |4 |stride_size2
4 |4 |stride_size3
0 |0 |dropout0
0.3 |0.3 |dropout1
0 |0 |dropout2
0.1 |0.1 |dropout3
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.28732681274414
Best val_loss So Far: 19.28732681274414
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
5 |2 |kernel_size0
4 |3 |pool_size0
3 |1 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 19.19600486755371
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
4 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
5 |None |kernel_size4
3 |4 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
2 |None |pool_size4
1 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.1 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 07s]
val_loss: 19.748815536499023
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
4 |5 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
5 |4 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |3 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.1 |0.4 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.875925064086914
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 21s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
1 |5 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
3 |4 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
5 |3 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
0.1 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.877172470092773
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 26s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
4 |4 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.834009170532227
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 32s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
2 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |4 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |3 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.4 |0.4 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.800142288208008
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 37s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
1 |5 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
1 |4 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
0.4 |0.4 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.298486709594727
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 42s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
1 |5 |kernel_size0
2 |4 |pool_size0
4 |3 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 20.01262092590332
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
4 |5 |kernel_size0
2 |4 |pool_size0
2 |3 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 02s]
val_loss: 20.323068618774414
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
4 |5 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
2 |4 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
3 |3 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.3 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.847557067871094
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 52s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
1 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
3 |3 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.2065486907959
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 00m 58s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
2 |4 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
3 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.821271896362305
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 04s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
1 |4 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
1 |3 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0.2 |0.4 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 07s]
val_loss: 19.69480323791504
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 11s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
2 |5 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |4 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
2 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 19.700563430786133
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 16s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
2 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
1 |4 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
5 |3 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.675987243652344
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 21s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
1 |5 |kernel_size0
3 |4 |pool_size0
3 |3 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 19.482507705688477
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 23s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
2 |4 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
2 |3 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.469514846801758
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 28s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
1 |4 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.3 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.590213775634766
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 34s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
5 |5 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
3 |4 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
3 |3 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.89324188232422
Best val_loss So Far: 19.19600486755371
Total elapsed time: 00h 01m 38s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 5, 'pool_size0': 4, 'stride_size0': 3, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 22.1045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 13ms/step - loss: 21.3125 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 20.2665 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 18.8571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 18.9634 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 18.2371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 17.8078 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 16.6842 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.5171 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.4245 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 12.9886 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 12.0638 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.9319 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.5883 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.7793 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.9621 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.1171 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.6822 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9746 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.6243 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.4162 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2225 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6660 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7777 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3927 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6840 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4883 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2982 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2901 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9981 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9144 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3332 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0629 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9465 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9706 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9282 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6592 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6025 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6004 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6912 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4477 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6880 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3982 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3691 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5795 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6204 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2132 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3363 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3113 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2461 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2244 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1591 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1486 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2978 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0905 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0919 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9550 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0850 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9935 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0438 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8748 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0286 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0786 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8916 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7872 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9060 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8912 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7633 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7361 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8321 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8535 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7511 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7278 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6942 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6631 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8322 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5707 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6383 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6320 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5129 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6185 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4698 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5561 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4778 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6854 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5661 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4443 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4459 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2755 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4767 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3716 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3482 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5083 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4236 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2197 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3426 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4653 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3560 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4960 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3293 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5047 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1753 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2501 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3455 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2257 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3700 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3354 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2289 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2100 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2111 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2376 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3149 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2535 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2233 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0642 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1813 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2858 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1280 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2061 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0249 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1403 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1913 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3228 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1352 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1112 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3146 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1897 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1628 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2838 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1846 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2340 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1615 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2882 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3289 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0055 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0982 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0959 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0485 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0497 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1956 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2727 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0676 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1164 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0718 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9560 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2238 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2125 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1130 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2202 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2118 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0384 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2065 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1570 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1831 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1487 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1503 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2191 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1918 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2320 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2438 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0928 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8905 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1237 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0559 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1721 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0353 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0271 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1671 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1281 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0851 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1592 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2592 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1673 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1536 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0732 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1392 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3026 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1745 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1120 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1440 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0992 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0032 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3025 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0578 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1438 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3541 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1489 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1963 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3983 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0004 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0965 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9298 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0915 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1932 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3512 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0449 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9909 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2487 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1059 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1306 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1928 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0273 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1313 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 5, 'pool_size0': 4, 'stride_size0': 3, 'dropout0': 0.4}
1/31 [..............................] - ETA: 4s
30/31 [============================>.] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
416 Pilot03 1 cnn1d ... -2.476862 -0.062145 0.052033
417 Pilot03 1 cnn1d ... -1.994772 -0.060007 0.060671
418 Pilot03 1 cnn1d ... -0.789451 -0.088140 0.005811
419 Pilot03 1 cnn1d ... -0.390839 -0.066484 0.037637
420 Pilot03 1 cnn1d ... -0.676232 -0.024396 0.446009
[421 rows x 18 columns]
imu_rr_Pilot03_id1_combi10.0-12.0-15.0-17.0-20.0
train
(36155, 10)
test
(287283, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (121, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |256 |filter_unit0
64 |64 |filter_unit1
4 |4 |kernel_size0
1 |1 |kernel_size1
2 |2 |pool_size0
1 |1 |pool_size1
2 |2 |stride_size0
4 |4 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0070s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0070s). Check your callbacks.
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 20.07913589477539
Best val_loss So Far: 20.07913589477539
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |256 |filter_unit0
64 |64 |filter_unit1
1 |4 |kernel_size0
2 |1 |kernel_size1
2 |2 |pool_size0
5 |1 |pool_size1
1 |2 |stride_size0
1 |4 |stride_size1
0.2 |0.3 |dropout0
0.2 |0.3 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0037s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0037s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.076078414916992
Best val_loss So Far: 20.076078414916992
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
64 |64 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
5 |1 |kernel_size0
4 |2 |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
5 |2 |pool_size0
5 |5 |pool_size1
3 |None |pool_size2
4 |None |pool_size3
5 |1 |stride_size0
2 |1 |stride_size1
2 |None |stride_size2
4 |None |stride_size3
0 |0.2 |dropout0
0.2 |0.2 |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 18.721271514892578
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
64 |128 |filter_unit2
128 |32 |filter_unit3
32 |None |filter_unit4
2 |5 |kernel_size0
3 |4 |kernel_size1
5 |5 |kernel_size2
4 |3 |kernel_size3
3 |None |kernel_size4
5 |5 |pool_size0
1 |5 |pool_size1
1 |3 |pool_size2
2 |4 |pool_size3
5 |None |pool_size4
4 |5 |stride_size0
4 |2 |stride_size1
1 |2 |stride_size2
1 |4 |stride_size3
4 |None |stride_size4
0.4 |0 |dropout0
0.4 |0.2 |dropout1
0.1 |0.1 |dropout2
0.3 |0.1 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.44565773010254
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |128 |filter_unit0
64 |64 |filter_unit1
5 |5 |kernel_size0
3 |4 |kernel_size1
5 |5 |pool_size0
1 |5 |pool_size1
4 |5 |stride_size0
5 |2 |stride_size1
0.2 |0 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.102581024169922
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
128 |128 |filter_unit2
32 |32 |filter_unit3
128 |None |filter_unit4
1 |5 |kernel_size0
1 |4 |kernel_size1
1 |5 |kernel_size2
3 |3 |kernel_size3
2 |None |kernel_size4
1 |5 |pool_size0
3 |5 |pool_size1
1 |3 |pool_size2
5 |4 |pool_size3
4 |None |pool_size4
1 |5 |stride_size0
4 |2 |stride_size1
2 |2 |stride_size2
2 |4 |stride_size3
4 |None |stride_size4
0.4 |0 |dropout0
0.2 |0.2 |dropout1
0 |0.1 |dropout2
0.2 |0.1 |dropout3
0 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.52015495300293
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 29s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
128 |128 |filter_unit2
256 |32 |filter_unit3
256 |None |filter_unit4
5 |5 |kernel_size0
3 |4 |kernel_size1
4 |5 |kernel_size2
3 |3 |kernel_size3
3 |None |kernel_size4
2 |5 |pool_size0
2 |5 |pool_size1
5 |3 |pool_size2
1 |4 |pool_size3
4 |None |pool_size4
2 |5 |stride_size0
2 |2 |stride_size1
4 |2 |stride_size2
3 |4 |stride_size3
5 |None |stride_size4
0.1 |0 |dropout0
0.1 |0.2 |dropout1
0.2 |0.1 |dropout2
0.3 |0.1 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.88845443725586
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 35s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |128 |filter_unit0
64 |64 |filter_unit1
128 |128 |filter_unit2
128 |32 |filter_unit3
64 |None |filter_unit4
3 |5 |kernel_size0
2 |4 |kernel_size1
4 |5 |kernel_size2
1 |3 |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
3 |5 |pool_size1
5 |3 |pool_size2
3 |4 |pool_size3
1 |None |pool_size4
4 |5 |stride_size0
4 |2 |stride_size1
5 |2 |stride_size2
1 |4 |stride_size3
2 |None |stride_size4
0 |0 |dropout0
0 |0.2 |dropout1
0.3 |0.1 |dropout2
0.4 |0.1 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.582456588745117
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 41s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |128 |filter_unit0
64 |64 |filter_unit1
2 |5 |kernel_size0
1 |4 |kernel_size1
3 |5 |pool_size0
5 |5 |pool_size1
1 |5 |stride_size0
4 |2 |stride_size1
0.4 |0 |dropout0
0.3 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0093s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0093s). Check your callbacks.
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 20.349220275878906
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 45s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
256 |64 |filter_unit1
64 |128 |filter_unit2
4 |5 |kernel_size0
1 |4 |kernel_size1
5 |5 |kernel_size2
2 |5 |pool_size0
1 |5 |pool_size1
4 |3 |pool_size2
4 |5 |stride_size0
1 |2 |stride_size1
3 |2 |stride_size2
0.2 |0 |dropout0
0.1 |0.2 |dropout1
0.3 |0.1 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0049s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0049s). Check your callbacks.
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.517051696777344
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 49s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
32 |128 |filter_unit2
64 |32 |filter_unit3
2 |5 |kernel_size0
4 |4 |kernel_size1
1 |5 |kernel_size2
5 |3 |kernel_size3
4 |5 |pool_size0
4 |5 |pool_size1
3 |3 |pool_size2
3 |4 |pool_size3
3 |5 |stride_size0
3 |2 |stride_size1
3 |2 |stride_size2
2 |4 |stride_size3
0 |0 |dropout0
0.3 |0.2 |dropout1
0.2 |0.1 |dropout2
0.4 |0.1 |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.522258758544922
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 54s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |128 |filter_unit0
128 |64 |filter_unit1
5 |5 |kernel_size0
4 |4 |kernel_size1
4 |5 |pool_size0
1 |5 |pool_size1
1 |5 |stride_size0
3 |2 |stride_size1
0.3 |0 |dropout0
0.1 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0157s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0157s). Check your callbacks.
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.54604721069336
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 00m 57s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |128 |filter_unit0
3 |5 |kernel_size0
1 |5 |pool_size0
1 |5 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 20.167207717895508
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 01m 00s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |128 |filter_unit0
256 |64 |filter_unit1
128 |128 |filter_unit2
3 |5 |kernel_size0
3 |4 |kernel_size1
3 |5 |kernel_size2
4 |5 |pool_size0
5 |5 |pool_size1
4 |3 |pool_size2
3 |5 |stride_size0
3 |2 |stride_size1
3 |2 |stride_size2
0.4 |0 |dropout0
0.3 |0.2 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 20.107973098754883
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |128 |filter_unit0
32 |64 |filter_unit1
1 |5 |kernel_size0
5 |4 |kernel_size1
5 |5 |pool_size0
2 |5 |pool_size1
4 |5 |stride_size0
5 |2 |stride_size1
0.3 |0 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 18.920406341552734
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
32 |128 |filter_unit2
64 |32 |filter_unit3
256 |None |filter_unit4
4 |5 |kernel_size0
1 |4 |kernel_size1
5 |5 |kernel_size2
4 |3 |kernel_size3
5 |None |kernel_size4
3 |5 |pool_size0
2 |5 |pool_size1
3 |3 |pool_size2
4 |4 |pool_size3
5 |None |pool_size4
2 |5 |stride_size0
4 |2 |stride_size1
3 |2 |stride_size2
3 |4 |stride_size3
1 |None |stride_size4
0.3 |0 |dropout0
0.2 |0.2 |dropout1
0.1 |0.1 |dropout2
0 |0.1 |dropout3
0 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.151395797729492
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |128 |filter_unit0
128 |64 |filter_unit1
64 |128 |filter_unit2
4 |5 |kernel_size0
1 |4 |kernel_size1
5 |5 |kernel_size2
4 |5 |pool_size0
1 |5 |pool_size1
2 |3 |pool_size2
2 |5 |stride_size0
5 |2 |stride_size1
4 |2 |stride_size2
0.2 |0 |dropout0
0.3 |0.2 |dropout1
0 |0.1 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.92123794555664
Best val_loss So Far: 18.721271514892578
Total elapsed time: 00h 01m 17s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |128 |filter_unit0
32 |64 |filter_unit1
2 |5 |kernel_size0
5 |4 |kernel_size1
4 |5 |pool_size0
1 |5 |pool_size1
1 |5 |stride_size0
4 |2 |stride_size1
0.4 |0 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.617717742919922
Best val_loss So Far: 18.617717742919922
Total elapsed time: 00h 01m 20s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
1 |2 |kernel_size0
1 |4 |pool_size0
5 |1 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 18.114397048950195
Best val_loss So Far: 18.114397048950195
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |1 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
5 |None |kernel_size4
1 |1 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
2 |5 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.4 |0.4 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0061s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0061s). Check your callbacks.
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.775047302246094
Best val_loss So Far: 18.114397048950195
Total elapsed time: 00h 01m 28s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 5, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 28.2815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 5ms/step - loss: 28.4436 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 28.0708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 28.2070 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 27.2046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 27.9073 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 27.3177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 27.6655 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 26.4860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 27.4692 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 26.9483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 27.2551 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 28.0767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 26.9847 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 28.7739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 26.6945 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 25.4065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 26.4477 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 26.8644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 26.2335 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 26.7616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 25.9714 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 26.0548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 25.7592 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 25.7573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 25.5796 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 25.9905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 25.2698 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 24.2637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.9828 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 24.8935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.7959 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 23.5483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.5026 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 24.1814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.3122 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 25.3525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.0738 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 23.9743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.8101 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 24.4777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.6371 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 24.1887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.3708 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 22.8939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.1465 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 22.7245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.8341 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 22.7652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.5793 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 22.5098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.3359 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 22.6646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.1516 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 22.7354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.9369 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 21.9474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.6491 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 22.8095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.4232 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 19.5413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.1380 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 20.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.9841 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 20.8444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.7013 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 20.7891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.5102 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 20.7115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.2400 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 20.3684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.9719 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 19.2346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.7252 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 19.2078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.4936 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 19.6133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.2520 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 18.7613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.0155 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 18.9275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.7622 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 19.3848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.5265 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 18.7625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.3405 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 18.6716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.0717 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 17.4409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.8346 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 16.9143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.5854 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 17.7699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.2873 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 16.9770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.1301 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.9210 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 17.3461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.5699 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 16.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.3704 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.1542 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.9186 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 15.4579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.6105 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 15.1181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.3736 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 15.1658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.1475 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.9058 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.7042 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.5057 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 14.3017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.2405 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.9655 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.7515 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.5492 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.3026 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.0241 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8457 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6697 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.3234 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.1274 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8683 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.6632 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.4407 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.2572 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.9909 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.8205 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.5412 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3865 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.2454 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.9933 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7994 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.6291 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.4803 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.3487 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.1209 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9307 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.8529 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5961 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4272 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2555 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.0778 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9943 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8719 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6213 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5456 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3679 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3402 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1848 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0077 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8927 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7573 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7200 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6100 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3995 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4791 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3949 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2601 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3720 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1755 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1896 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1470 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0526 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1047 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1032 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1809 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0389 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9590 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0426 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0893 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9685 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9352 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9447 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8739 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9928 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0436 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0089 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9285 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9780 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9609 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9256 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0047 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9325 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9440 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9528 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9655 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9292 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8781 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9718 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7608 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9509 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8934 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8861 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9518 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8714 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7834 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8968 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8501 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9071 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9644 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9202 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8597 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8748 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9385 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9086 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9224 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9043 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8361 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9491 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8319 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9601 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8270 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8633 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8902 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8383 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8390 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8987 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9253 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9102 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7601 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9005 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9372 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9486 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8797 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8702 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9114 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9471 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9086 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9652 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9292 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8644 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9260 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8139 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9923 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8016 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8756 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9065 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9385 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8603 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7898 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9416 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8585 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9727 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8813 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9728 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7936 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8545 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7789 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9781 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9486 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8283 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8968 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 5, 'dropout0': 0.4}
1/31 [..............................] - ETA: 3s
31/31 [==============================] - 0s 1ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
417 Pilot03 1 cnn1d ... -1.994772 -0.060007 0.060671
418 Pilot03 1 cnn1d ... -0.789451 -0.088140 0.005811
419 Pilot03 1 cnn1d ... -0.390839 -0.066484 0.037637
420 Pilot03 1 cnn1d ... -0.676232 -0.024396 0.446009
421 Pilot03 1 cnn1d ... -0.987925 0.038957 0.223521
[422 rows x 18 columns]
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=3, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12