2023-11-24 12:22:38.158330: 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=2, 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_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
2023-11-24 12:23:48.968189: 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
2023-11-24 12:23:49.308825: 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
2023-11-24 12:23:49.309060: 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: (120, 1440, 6)
2023-11-24 12:23:49.329258: 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
2023-11-24 12:23:49.329479: 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
2023-11-24 12:23:49.329620: 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
2023-11-24 12:23:49.807484: 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
2023-11-24 12:23:49.807704: 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
2023-11-24 12:23:49.807849: 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
2023-11-24 12:23:49.807969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14603 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
5 |5 |n_layers
128 |128 |filter_unit0
256 |256 |filter_unit1
64 |64 |filter_unit2
64 |64 |filter_unit3
32 |32 |filter_unit4
3 |3 |kernel_size0
4 |4 |kernel_size1
2 |2 |kernel_size2
1 |1 |kernel_size3
1 |1 |kernel_size4
2 |2 |pool_size0
4 |4 |pool_size1
2 |2 |pool_size2
4 |4 |pool_size3
4 |4 |pool_size4
4 |4 |stride_size0
4 |4 |stride_size1
5 |5 |stride_size2
2 |2 |stride_size3
3 |3 |stride_size4
0.4 |0.4 |dropout0
0.1 |0.1 |dropout1
0.2 |0.2 |dropout2
0.2 |0.2 |dropout3
0.3 |0.3 |dropout4
2023-11-24 12:23:59.104185: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
2023-11-24 12:24:04.313074: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x146c025ab280 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-24 12:24:04.313107: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Quadro RTX 5000, Compute Capability 7.5
2023-11-24 12:24:04.317829: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-11-24 12:24:04.440366: 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.
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Trial 1 Complete [00h 00m 20s]
val_loss: 14.699694633483887
Best val_loss So Far: 14.699694633483887
Total elapsed time: 00h 00m 20s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |128 |filter_unit0
5 |3 |kernel_size0
5 |2 |pool_size0
1 |4 |stride_size0
0.2 |0.4 |dropout0
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[2K
Trial 2 Complete [00h 00m 02s]
val_loss: 14.913914680480957
Best val_loss So Far: 14.699694633483887
Total elapsed time: 00h 00m 22s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |128 |filter_unit0
2 |3 |kernel_size0
5 |2 |pool_size0
4 |4 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 02s]
val_loss: 14.124484062194824
Best val_loss So Far: 14.124484062194824
Total elapsed time: 00h 00m 24s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
5 |2 |kernel_size0
1 |5 |pool_size0
5 |4 |stride_size0
0.4 |0.1 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0021s 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: 0.0021s vs `on_train_batch_end` time: 0.0027s). Check your callbacks.
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Trial 4 Complete [00h 00m 02s]
val_loss: 15.624482154846191
Best val_loss So Far: 14.124484062194824
Total elapsed time: 00h 00m 26s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
3 |2 |kernel_size0
2 |None |kernel_size1
4 |5 |pool_size0
4 |None |pool_size1
5 |4 |stride_size0
3 |None |stride_size1
0.2 |0.1 |dropout0
0 |None |dropout1
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Trial 5 Complete [00h 00m 03s]
val_loss: 14.431441307067871
Best val_loss So Far: 14.124484062194824
Total elapsed time: 00h 00m 29s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
2 |2 |kernel_size0
1 |None |kernel_size1
1 |5 |pool_size0
3 |None |pool_size1
3 |4 |stride_size0
3 |None |stride_size1
0.3 |0.1 |dropout0
0.2 |None |dropout1
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Trial 6 Complete [00h 00m 03s]
val_loss: 14.244423866271973
Best val_loss So Far: 14.124484062194824
Total elapsed time: 00h 00m 32s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
2 |2 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
5 |5 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.4 |0.1 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
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Trial 7 Complete [00h 00m 05s]
val_loss: 13.83497142791748
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 00m 38s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |32 |filter_unit0
128 |256 |filter_unit1
128 |128 |filter_unit2
2 |2 |kernel_size0
3 |4 |kernel_size1
5 |5 |kernel_size2
2 |5 |pool_size0
2 |4 |pool_size1
2 |3 |pool_size2
2 |5 |stride_size0
5 |5 |stride_size1
3 |2 |stride_size2
0.2 |0.4 |dropout0
0.1 |0.3 |dropout1
0.1 |0.3 |dropout2
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: 0.0091s). 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: 0.0091s). Check your callbacks.
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Trial 8 Complete [00h 00m 05s]
val_loss: 14.382784843444824
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 00m 43s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |32 |filter_unit0
256 |256 |filter_unit1
32 |128 |filter_unit2
64 |128 |filter_unit3
32 |None |filter_unit4
3 |2 |kernel_size0
3 |4 |kernel_size1
2 |5 |kernel_size2
4 |2 |kernel_size3
4 |None |kernel_size4
5 |5 |pool_size0
1 |4 |pool_size1
4 |3 |pool_size2
3 |3 |pool_size3
2 |None |pool_size4
5 |5 |stride_size0
1 |5 |stride_size1
3 |2 |stride_size2
4 |2 |stride_size3
3 |None |stride_size4
0 |0.4 |dropout0
0.4 |0.3 |dropout1
0.3 |0.3 |dropout2
0 |0.2 |dropout3
0 |None |dropout4
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Trial 9 Complete [00h 00m 05s]
val_loss: 14.415188789367676
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 00m 48s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
64 |256 |filter_unit1
32 |128 |filter_unit2
64 |128 |filter_unit3
2 |2 |kernel_size0
2 |4 |kernel_size1
3 |5 |kernel_size2
5 |2 |kernel_size3
1 |5 |pool_size0
2 |4 |pool_size1
5 |3 |pool_size2
5 |3 |pool_size3
5 |5 |stride_size0
5 |5 |stride_size1
3 |2 |stride_size2
4 |2 |stride_size3
0.4 |0.4 |dropout0
0.1 |0.3 |dropout1
0 |0.3 |dropout2
0.2 |0.2 |dropout3
[2K
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Trial 10 Complete [00h 00m 04s]
val_loss: 15.030158996582031
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 00m 52s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |32 |filter_unit0
256 |256 |filter_unit1
128 |128 |filter_unit2
128 |128 |filter_unit3
2 |2 |kernel_size0
2 |4 |kernel_size1
1 |5 |kernel_size2
5 |2 |kernel_size3
4 |5 |pool_size0
4 |4 |pool_size1
2 |3 |pool_size2
4 |3 |pool_size3
4 |5 |stride_size0
3 |5 |stride_size1
3 |2 |stride_size2
1 |2 |stride_size3
0.2 |0.4 |dropout0
0.1 |0.3 |dropout1
0.1 |0.3 |dropout2
0.2 |0.2 |dropout3
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Trial 11 Complete [00h 00m 06s]
val_loss: 14.009330749511719
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 00m 58s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |32 |filter_unit0
64 |256 |filter_unit1
256 |128 |filter_unit2
5 |2 |kernel_size0
1 |4 |kernel_size1
3 |5 |kernel_size2
2 |5 |pool_size0
1 |4 |pool_size1
3 |3 |pool_size2
2 |5 |stride_size0
3 |5 |stride_size1
3 |2 |stride_size2
0.4 |0.4 |dropout0
0.3 |0.3 |dropout1
0.1 |0.3 |dropout2
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Trial 12 Complete [00h 00m 04s]
val_loss: 14.7302827835083
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 01m 02s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |32 |filter_unit0
32 |256 |filter_unit1
32 |128 |filter_unit2
128 |128 |filter_unit3
128 |None |filter_unit4
2 |2 |kernel_size0
1 |4 |kernel_size1
2 |5 |kernel_size2
2 |2 |kernel_size3
2 |None |kernel_size4
3 |5 |pool_size0
2 |4 |pool_size1
2 |3 |pool_size2
5 |3 |pool_size3
1 |None |pool_size4
4 |5 |stride_size0
2 |5 |stride_size1
4 |2 |stride_size2
3 |2 |stride_size3
4 |None |stride_size4
0.4 |0.4 |dropout0
0 |0.3 |dropout1
0.2 |0.3 |dropout2
0.3 |0.2 |dropout3
0 |None |dropout4
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Trial 13 Complete [00h 00m 05s]
val_loss: 14.721217155456543
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 01m 07s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |32 |filter_unit0
256 |256 |filter_unit1
32 |128 |filter_unit2
5 |2 |kernel_size0
4 |4 |kernel_size1
5 |5 |kernel_size2
5 |5 |pool_size0
4 |4 |pool_size1
1 |3 |pool_size2
5 |5 |stride_size0
3 |5 |stride_size1
1 |2 |stride_size2
0.3 |0.4 |dropout0
0.4 |0.3 |dropout1
0 |0.3 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
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Trial 14 Complete [00h 00m 05s]
val_loss: 14.090950012207031
Best val_loss So Far: 13.83497142791748
Total elapsed time: 00h 01m 12s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |32 |filter_unit0
1 |2 |kernel_size0
5 |5 |pool_size0
4 |5 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 13.38481616973877
Best val_loss So Far: 13.38481616973877
Total elapsed time: 00h 01m 14s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
3 |1 |kernel_size0
5 |5 |pool_size0
4 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 13.753371238708496
Best val_loss So Far: 13.38481616973877
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
5 |1 |kernel_size0
2 |5 |pool_size0
3 |4 |stride_size0
0.4 |0.2 |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: 0.0028s). 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: 0.0028s). Check your callbacks.
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[2K
Trial 17 Complete [00h 00m 02s]
val_loss: 14.230694770812988
Best val_loss So Far: 13.38481616973877
Total elapsed time: 00h 01m 19s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
4 |1 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |5 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |4 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.3 |0.2 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
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Trial 18 Complete [00h 00m 04s]
val_loss: 14.37387466430664
Best val_loss So Far: 13.38481616973877
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
5 |1 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
1 |5 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
2 |4 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.4 |None |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: 0.0042s). 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: 0.0042s). Check your callbacks.
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 14.884509086608887
Best val_loss So Far: 13.38481616973877
Total elapsed time: 00h 01m 28s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
2 |1 |kernel_size0
2 |5 |pool_size0
1 |4 |stride_size0
0 |0.2 |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: 0.0033s). 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: 0.0033s). Check your callbacks.
[2K
[2K
Trial 20 Complete [00h 00m 02s]
val_loss: 13.119513511657715
Best val_loss So Far: 13.119513511657715
Total elapsed time: 00h 01m 31s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 5.9880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 5.5009 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5416WARNING: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: 5.1939 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0144 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6308WARNING: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 6ms/step - loss: 4.8953 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7589 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6205 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5643 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5168 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4246 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5947WARNING: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 6ms/step - loss: 4.3826 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1110WARNING: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 6ms/step - loss: 4.3558 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2582 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1782 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1596 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1019 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3032WARNING: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 6ms/step - loss: 4.0722 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0758 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9723 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3112WARNING: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 6ms/step - loss: 3.9151 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8987 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8692 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4065WARNING: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 6ms/step - loss: 3.7553 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7313 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6926 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6767 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6408 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6197 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3892WARNING: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 6ms/step - loss: 3.5025 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4717 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4539WARNING: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 6ms/step - loss: 3.4272 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4084 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3025 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3312 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2789 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2504 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2054 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1777WARNING: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 6ms/step - loss: 3.1527 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0887WARNING: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: 3.1389 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0869 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4452WARNING: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 6ms/step - loss: 3.0477 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9974 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9548 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4695WARNING: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 6ms/step - loss: 2.9388 - lr: 1.0000e-04
Epoch 44/200
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 6ms/step - loss: 2.9116 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8930 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8608 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8039 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7956 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7884 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6633WARNING: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 6ms/step - loss: 2.7473 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3700WARNING: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 6ms/step - loss: 2.7086 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6363 - lr: 1.0000e-04
Epoch 53/200
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: 2.6113 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6032 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5671 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5417 - lr: 1.0000e-04
Epoch 57/200
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 6ms/step - loss: 2.4889 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4813 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4460 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics 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 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3824 - lr: 1.0000e-04
Epoch 62/200
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 6ms/step - loss: 2.3751 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3706 - lr: 1.0000e-04
Epoch 64/200
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 6ms/step - loss: 2.3306 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3382 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2830 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2595 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7591WARNING: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 6ms/step - loss: 2.2494 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1986 - lr: 1.0000e-04
Epoch 70/200
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: 2.1688 - lr: 1.0000e-04
Epoch 71/200
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: 2.1560 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1413 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.1967 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7721WARNING: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 6ms/step - loss: 2.1474 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0717 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0291 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0560 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0247 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.0320 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9779 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9962 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9541 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.9355 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6633WARNING: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 6ms/step - loss: 1.9080 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8509 - lr: 1.0000e-04
Epoch 86/200
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 6ms/step - loss: 1.8489 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9393WARNING: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 6ms/step - loss: 1.8247 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.8827 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5047WARNING: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 6ms/step - loss: 1.7704 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7771 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7641 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7723 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7955 - lr: 1.0000e-04
Epoch 94/200
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 7ms/step - loss: 1.7449 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7923 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7085 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7248WARNING: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 6ms/step - loss: 1.7012 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6749 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8403WARNING: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 6ms/step - loss: 1.7370 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6641 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5362WARNING: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 6ms/step - loss: 1.6402 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6806 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6202 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6032 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2750WARNING: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 6ms/step - loss: 1.5982 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9383WARNING: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: 1.6004 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1937WARNING: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 6ms/step - loss: 1.5542 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5589 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5626 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7063 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5325 - lr: 3.3287e-05
Epoch 112/200
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 6ms/step - loss: 1.5881 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6264 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4631WARNING: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: 1.6472 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4687WARNING: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 6ms/step - loss: 1.5820 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5150 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5814 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4717 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5360 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5534 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5773 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5635 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5526 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6038 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5843 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2607WARNING: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: 1.5490 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5472 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5125 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4406WARNING: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 6ms/step - loss: 1.5396 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6535WARNING: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 6ms/step - loss: 1.5118 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5324 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1057WARNING: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 6ms/step - loss: 1.4970 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5935 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6110 - lr: 3.3373e-06
Epoch 135/200
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 6ms/step - loss: 1.5209 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5342 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5663 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5075 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5112 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5432 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0983WARNING: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 6ms/step - loss: 1.5557 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2717WARNING: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: 1.5689 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4405WARNING: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 6ms/step - loss: 1.5555 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5488WARNING: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 6ms/step - loss: 1.5221 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4855 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5549 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3446WARNING: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 6ms/step - loss: 1.5302 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5777 - lr: 8.2297e-07
Epoch 149/200
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 6ms/step - loss: 1.4983 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5533 - lr: 6.7379e-07
Epoch 151/200
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 6ms/step - loss: 1.5477 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5229 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5216 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5686WARNING: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 6ms/step - loss: 1.5705 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5538 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5304 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0664WARNING: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 6ms/step - loss: 1.5299 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5287 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2626WARNING: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: 1.5452 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2532WARNING: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 6ms/step - loss: 1.5576 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5438 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5247 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4959 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5081 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5365 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6186 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5312 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5019 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5286 - lr: 1.0078e-07
Epoch 170/200
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 6ms/step - loss: 1.5038 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5133 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6526WARNING: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 6ms/step - loss: 1.5501 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5271 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5094 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5138 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5183 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3764WARNING: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 6ms/step - loss: 1.5848 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1644WARNING: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: 1.5042 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5432 - lr: 3.7074e-08
Epoch 180/200
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 6ms/step - loss: 1.4900 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6628WARNING: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 6ms/step - loss: 1.5074 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1485WARNING: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 6ms/step - loss: 1.5297 - lr: 2.7465e-08
Epoch 183/200
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 6ms/step - loss: 1.5501 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5072 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5083 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7721WARNING: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 6ms/step - loss: 1.4985 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6544 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4914 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5152 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5930WARNING: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 6ms/step - loss: 1.5352 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5206 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5371 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2019WARNING: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 6ms/step - loss: 1.5605 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5082 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4814 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6096 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6197 - lr: 6.1283e-09
Epoch 198/200
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 6ms/step - loss: 1.5855 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5616 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6079 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.0}
1/39 [..............................] - ETA: 6s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
481 Pilot02 1 cnn1d ... -8.579331 -0.017832 0.529434
482 Pilot02 1 cnn1d ... -1.102534 -0.050187 0.076579
483 Pilot03 1 cnn1d ... -2.516991 -0.101124 0.001543
484 Pilot02 1 cnn1d ... -9.384893 -0.004659 0.869503
485 Pilot02 1 cnn1d ... -3.859385 0.002006 0.943612
[486 rows x 18 columns]
QStandardPaths: XDG_RUNTIME_DIR points to non-existing path '/run/user/56779', please create it with 0700 permissions.
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 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
2 |2 |kernel_size0
1 |1 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
4 |4 |pool_size0
4 |4 |pool_size1
4 |4 |pool_size2
5 |5 |pool_size3
5 |5 |stride_size0
5 |5 |stride_size1
3 |3 |stride_size2
5 |5 |stride_size3
0.1 |0.1 |dropout0
0 |0 |dropout1
0.2 |0.2 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 16.026168823242188
Best val_loss So Far: 16.026168823242188
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |32 |filter_unit0
256 |128 |filter_unit1
128 |128 |filter_unit2
32 |32 |filter_unit3
4 |2 |kernel_size0
1 |1 |kernel_size1
3 |4 |kernel_size2
1 |4 |kernel_size3
5 |4 |pool_size0
4 |4 |pool_size1
3 |4 |pool_size2
5 |5 |pool_size3
5 |5 |stride_size0
1 |5 |stride_size1
1 |3 |stride_size2
1 |5 |stride_size3
0.3 |0.1 |dropout0
0.2 |0 |dropout1
0 |0.2 |dropout2
0.4 |0 |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 16.338804244995117
Best val_loss So Far: 16.026168823242188
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
5 |2 |kernel_size0
1 |1 |kernel_size1
1 |4 |pool_size0
2 |4 |pool_size1
1 |5 |stride_size0
4 |5 |stride_size1
0.3 |0.1 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 17.273344039916992
Best val_loss So Far: 16.026168823242188
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |32 |filter_unit0
3 |2 |kernel_size0
2 |4 |pool_size0
3 |5 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 15.08426570892334
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
1 |3 |kernel_size0
5 |None |kernel_size1
2 |2 |pool_size0
3 |None |pool_size1
2 |3 |stride_size0
2 |None |stride_size1
0.4 |0.4 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 15.584503173828125
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
1 |3 |kernel_size0
2 |2 |pool_size0
1 |3 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 15.51180648803711
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
1 |3 |kernel_size0
3 |2 |pool_size0
2 |3 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 17.10377311706543
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 25s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
2 |3 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
2 |2 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
4 |None |pool_size4
1 |3 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.3 |0.4 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 07s]
val_loss: 15.876960754394531
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
128 |None |filter_unit1
3 |3 |kernel_size0
1 |None |kernel_size1
4 |2 |pool_size0
4 |None |pool_size1
1 |3 |stride_size0
3 |None |stride_size1
0 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 17.298412322998047
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 35s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
2 |2 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
3 |None |pool_size4
2 |3 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 07s]
val_loss: 15.22651195526123
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
3 |3 |kernel_size0
3 |None |kernel_size1
4 |2 |pool_size0
5 |None |pool_size1
4 |3 |stride_size0
4 |None |stride_size1
0.2 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 16.030302047729492
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
1 |3 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
4 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
2 |3 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0 |0.4 |dropout0
0 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 16.16150665283203
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
2 |3 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |2 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
1 |3 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
0.3 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 16.015338897705078
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 00m 57s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
4 |3 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
3 |2 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |None |pool_size4
1 |3 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.2 |0.4 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 16.226764678955078
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 03s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
5 |3 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |2 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
4 |3 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.3 |0.4 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 16.466646194458008
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
5 |2 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
5 |3 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
0.3 |0.4 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 16.190492630004883
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
2 |3 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
4 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
0.2 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 16.153884887695312
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 16s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
5 |3 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
3 |2 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
3 |3 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.4 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 16.23431968688965
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 22s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
5 |3 |kernel_size0
1 |2 |pool_size0
1 |3 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 15.72838020324707
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 25s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
3 |3 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
1 |2 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
2 |3 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 16.402341842651367
Best val_loss So Far: 15.08426570892334
Total elapsed time: 00h 01m 31s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 2, 'stride_size0': 3, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 20.5168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 20.7257 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 20.7159WARNING: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: 20.4393 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 19.9657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.8138 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.5214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.4639 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 18.5194WARNING: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 4ms/step - loss: 18.9123 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 19.4446WARNING: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 4ms/step - loss: 18.3690 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 19.4555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.0866 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 18.3922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.5859 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 17.6484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.1626 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 18.1533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.6944 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1670WARNING: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: 16.3345 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.9170 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.3960 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0914WARNING: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 4ms/step - loss: 14.6331 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2911WARNING: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: 14.4740 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.0541 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.3866 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.1268 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8358WARNING: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: 12.7521 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9896WARNING: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 4ms/step - loss: 12.1415 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8921 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5745WARNING: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: 11.5353 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.6715 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.4989 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.0066 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7388 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9997 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.7961 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6582WARNING: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 4ms/step - loss: 8.2832 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9773 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0891WARNING: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: 7.5251 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3046 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8140 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4855 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3895 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9314 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8246 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6240 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2037 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2210 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1994 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7333 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6324WARNING: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: 4.7797 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2310WARNING: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 4ms/step - loss: 4.9636 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8488 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5841 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6521 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5991WARNING: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: 4.5506 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5508 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5483 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3140 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7007 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9392WARNING: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: 4.4461 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5113 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2336WARNING: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 4ms/step - loss: 4.4391 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5080 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3875 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1408WARNING: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 4ms/step - loss: 4.2306 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4406WARNING: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 4ms/step - loss: 4.3285 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1275 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1562 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1724 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2940WARNING: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 4ms/step - loss: 3.8693 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0258 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2532WARNING: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: 4.1822 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1579 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2663 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1374 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1515WARNING: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 4ms/step - loss: 4.0638 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1579 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3197WARNING: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 4ms/step - loss: 3.9491 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8189 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5655WARNING: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 4ms/step - loss: 3.8126 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9608 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0029 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2297WARNING: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 4ms/step - loss: 4.0242 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8148 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8471 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6399 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7383 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3871WARNING: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 4ms/step - loss: 3.8679 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9603WARNING: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 4ms/step - loss: 3.8564 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8907 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7699 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9194WARNING: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 4ms/step - loss: 3.7829 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6709 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6580 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6984 - lr: 1.0000e-04
Epoch 89/200
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: 3.5170 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9283WARNING: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 4ms/step - loss: 3.5515 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5200 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0389WARNING: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 4ms/step - loss: 3.6323 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6231 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4445 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - 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 4ms/step - loss: 3.5275 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7170 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2931 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5706 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3177 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8166WARNING: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 4ms/step - loss: 3.2916 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4121 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4102 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8528WARNING: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 4ms/step - loss: 3.5711 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2398 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2807 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3424 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3543 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8542WARNING: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 4ms/step - loss: 3.3075 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8418WARNING: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: 3.2696 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3823 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4217 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4894WARNING: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 4ms/step - loss: 3.4355 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3940 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8823WARNING: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 4ms/step - loss: 3.3865 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5089 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4603 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3755 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2947 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2139 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3851 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3466 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9747WARNING: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 4ms/step - loss: 3.3505 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3785 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9371WARNING: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 4ms/step - loss: 3.3100 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3795 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2335 - lr: 7.4273e-06
Epoch 127/200
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 4ms/step - loss: 3.4409 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8912WARNING: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 4ms/step - loss: 3.2115 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2766WARNING: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 4ms/step - loss: 3.3011 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5518WARNING: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 4ms/step - loss: 3.2641 - lr: 4.9787e-06
Epoch 131/200
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: 3.3698 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0257 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2232 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2349WARNING: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: 3.3461 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3667 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1752 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3062 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3207 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1638 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3957 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8214WARNING: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: 3.0703 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3528 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2390 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2410 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4046 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9103WARNING: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 4ms/step - loss: 3.3934 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2845 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0868WARNING: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 4ms/step - loss: 3.2621 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4338WARNING: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: 3.1962 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4182 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2092WARNING: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 4ms/step - loss: 3.4910 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4542 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4646 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0694WARNING: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 4ms/step - loss: 3.2573 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3423 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5605 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1690 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4798 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2963 - lr: 2.0294e-07
Epoch 163/200
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 4ms/step - loss: 3.2602 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3870 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3337WARNING: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 4ms/step - loss: 3.2969 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2143 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6994WARNING: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: 3.2872 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4511 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2423 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3281WARNING: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: 3.3965 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1904 - lr: 8.2510e-08
Epoch 172/200
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 4ms/step - loss: 3.2963 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2146WARNING: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 4ms/step - loss: 3.4191 - lr: 6.7554e-08
Epoch 174/200
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 4ms/step - loss: 3.3870 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2605 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1597 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1620 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1924 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6383WARNING: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: 3.3817 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2541WARNING: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 4ms/step - loss: 3.2620 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3609 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8518WARNING: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: 3.2155 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3202 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3190 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2770 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3960 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0181WARNING: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 4ms/step - loss: 3.1047 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1340 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3243 - lr: 1.3639e-08
Epoch 190/200
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 4ms/step - loss: 3.5253 - lr: 1.2341e-08
Epoch 191/200
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 4ms/step - loss: 3.4403 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3575 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2024 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0879WARNING: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 4ms/step - loss: 3.2542 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3865 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3450 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2652 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5576WARNING: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 4ms/step - loss: 3.2505 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1563 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2365 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 2, 'stride_size0': 3, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
482 Pilot02 1 cnn1d ... -1.102534 -0.050187 0.076579
483 Pilot03 1 cnn1d ... -2.516991 -0.101124 0.001543
484 Pilot02 1 cnn1d ... -9.384893 -0.004659 0.869503
485 Pilot02 1 cnn1d ... -3.859385 0.002006 0.943612
486 Pilot02 1 cnn1d ... -7.035677 -0.025044 0.377080
[487 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
4 |4 |kernel_size0
4 |4 |kernel_size1
1 |1 |pool_size0
3 |3 |pool_size1
4 |4 |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
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 17.32977867126465
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
2 |4 |kernel_size0
2 |4 |kernel_size1
4 |None |kernel_size2
3 |1 |pool_size0
1 |3 |pool_size1
4 |None |pool_size2
4 |4 |stride_size0
1 |4 |stride_size1
3 |None |stride_size2
0 |0.3 |dropout0
0.3 |0.3 |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 18.954832077026367
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
4 |4 |kernel_size0
5 |4 |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
2 |3 |pool_size1
4 |None |pool_size2
2 |4 |stride_size0
1 |4 |stride_size1
2 |None |stride_size2
0.3 |0.3 |dropout0
0.2 |0.3 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 18.67900848388672
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
32 |None |filter_unit2
2 |4 |kernel_size0
4 |4 |kernel_size1
5 |None |kernel_size2
5 |1 |pool_size0
3 |3 |pool_size1
2 |None |pool_size2
2 |4 |stride_size0
1 |4 |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0.3 |0.3 |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 18.554292678833008
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
4 |4 |kernel_size0
1 |4 |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
5 |1 |pool_size0
1 |3 |pool_size1
4 |None |pool_size2
1 |None |pool_size3
3 |4 |stride_size0
2 |4 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0 |0.3 |dropout0
0 |0.3 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 18.697717666625977
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
1 |4 |kernel_size0
3 |4 |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
1 |1 |pool_size0
4 |3 |pool_size1
1 |None |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
5 |4 |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.2 |0.3 |dropout0
0.3 |0.3 |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 18.74958610534668
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
3 |4 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |1 |pool_size0
1 |3 |pool_size1
5 |None |pool_size2
4 |None |pool_size3
3 |4 |stride_size0
2 |4 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.2 |0.3 |dropout0
0.4 |0.3 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 18.67755699157715
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 34s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
5 |4 |kernel_size0
2 |4 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |1 |pool_size0
4 |3 |pool_size1
2 |None |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
1 |4 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.2 |0.3 |dropout0
0.1 |0.3 |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 18.65455436706543
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 40s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
5 |4 |kernel_size0
2 |4 |kernel_size1
4 |1 |pool_size0
3 |3 |pool_size1
5 |4 |stride_size0
1 |4 |stride_size1
0.4 |0.3 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 17.74289894104004
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 43s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
32 |32 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
3 |4 |kernel_size0
1 |4 |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
5 |1 |pool_size0
5 |3 |pool_size1
2 |None |pool_size2
2 |None |pool_size3
2 |4 |stride_size0
4 |4 |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.2 |0.3 |dropout0
0.1 |0.3 |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 18.91850471496582
Best val_loss So Far: 17.32977867126465
Total elapsed time: 00h 00m 49s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
32 |64 |filter_unit0
4 |4 |kernel_size0
3 |1 |pool_size0
1 |4 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 17.103151321411133
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |1 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.4 |dropout0
0 |None |dropout1
0 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 18.751911163330078
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 00m 57s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
4 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
4 |3 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
1 |1 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.3 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 18.802663803100586
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
32 |None |filter_unit1
1 |4 |kernel_size0
5 |None |kernel_size1
3 |3 |pool_size0
1 |None |pool_size1
2 |1 |stride_size0
1 |None |stride_size1
0 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 18.753934860229492
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 05s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
1 |3 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
3 |1 |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 15 Complete [00h 00m 04s]
val_loss: 18.89157485961914
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 09s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
4 |4 |kernel_size0
1 |3 |pool_size0
5 |1 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.299148559570312
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
1 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
3 |3 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
4 |1 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 18.877992630004883
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
3 |4 |kernel_size0
5 |None |kernel_size1
1 |3 |pool_size0
1 |None |pool_size1
2 |1 |stride_size0
2 |None |stride_size1
0.2 |0.4 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.113622665405273
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 21s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
2 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
5 |3 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |1 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 18.46466636657715
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 27s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
3 |4 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
4 |3 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 18.705785751342773
Best val_loss So Far: 17.103151321411133
Total elapsed time: 00h 01m 32s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 8.0143WARNING: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 [==============================] - 1s 11ms/step - loss: 7.3625 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4076WARNING: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 3ms/step - loss: 7.1269 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8590 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3048WARNING: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 3ms/step - loss: 6.7696 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5340 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0630WARNING: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 3ms/step - loss: 6.3220 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1178 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9970 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0061WARNING: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: 5.8276 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6469 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2210WARNING: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 3ms/step - loss: 5.5852 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4846 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7505WARNING: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: 5.3318 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3283WARNING: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 3ms/step - loss: 5.2037 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9469 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0773 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9240 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8206WARNING: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: 4.9191 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8431 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7799 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1407WARNING: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 3ms/step - loss: 4.6986 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9216WARNING: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 3ms/step - loss: 4.6932 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7053 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5770 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5040 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2818WARNING: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 3ms/step - loss: 4.6080 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5716 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6234 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6812WARNING: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 3ms/step - loss: 4.5873 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6264 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4597 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5024 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3539 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3179 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3507WARNING: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 3ms/step - loss: 4.4251 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8924WARNING: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 3ms/step - loss: 4.2962 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2546 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3512 - lr: 1.0000e-04
Epoch 39/200
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: 4.2908 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3234 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7245WARNING: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 3ms/step - loss: 4.2576 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2880 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2797 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1896 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2224 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5312WARNING: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 3ms/step - loss: 4.1094 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1023 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1265 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0934 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0244 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0339 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9870 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9039 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0561 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9295 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9198 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1502WARNING: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 3ms/step - loss: 3.8778 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7508 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8989 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9830WARNING: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: 3.8254 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8461 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6501WARNING: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 3ms/step - loss: 3.8099 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7916 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7852 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5706 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1974WARNING: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 3ms/step - loss: 3.6778 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6781 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7361 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9999WARNING: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 3ms/step - loss: 3.6919 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7153 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7098 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1037WARNING: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 3ms/step - loss: 3.7278 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2158WARNING: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 3ms/step - loss: 3.6626 - lr: 1.0000e-04
Epoch 76/200
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: 3.5640 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5117WARNING: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: 3.6771 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6315 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5623 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5295 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4441WARNING: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 3ms/step - loss: 3.6660 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5816 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5710 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5156 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7146WARNING: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 3ms/step - loss: 3.6310 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5725 - lr: 1.0000e-04
Epoch 87/200
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 3ms/step - loss: 3.5444 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6216 - lr: 1.0000e-04
Epoch 89/200
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 3ms/step - loss: 3.5755 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4884 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4299 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5142 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4260 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9711WARNING: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 3ms/step - loss: 3.4350 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3428 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4808 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2229WARNING: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 3ms/step - loss: 3.3716 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3657 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4218 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3961 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3479 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4794 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3446 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3161 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5018 - lr: 6.0653e-05
Epoch 106/200
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 3ms/step - loss: 3.3430 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3591 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4789WARNING: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 3ms/step - loss: 3.3864 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2563 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3305 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4034 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2180 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4147 - lr: 2.7253e-05
Epoch 114/200
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 3ms/step - loss: 3.3306 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0976WARNING: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 3ms/step - loss: 3.4381 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3792 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8813WARNING: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 3ms/step - loss: 3.3231 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7884WARNING: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 3ms/step - loss: 3.1675 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3210 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2817 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3061 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3469 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2927 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0887WARNING: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 3ms/step - loss: 3.2785 - lr: 9.0718e-06
Epoch 125/200
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 3ms/step - loss: 3.2052 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4631WARNING: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 3ms/step - loss: 3.2962 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0983WARNING: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 3ms/step - loss: 3.3683 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2506WARNING: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 3ms/step - loss: 3.3297 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2257 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2177 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2536WARNING: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 3ms/step - loss: 3.1949 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2627 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1423WARNING: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 3ms/step - loss: 3.2982 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3634 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2521 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2269WARNING: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 3ms/step - loss: 3.2380 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9094WARNING: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 3ms/step - loss: 3.2551 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0352WARNING: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: 3.3539 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4359 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2466 - lr: 1.8316e-06
Epoch 141/200
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 3ms/step - loss: 3.3589 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3355 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8940WARNING: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 3ms/step - loss: 3.2348 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4358 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2262 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0156WARNING: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: 3.3387 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3122 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2897 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2181 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1432 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2692 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2982 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4234 - lr: 4.9916e-07
Epoch 154/200
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 3ms/step - loss: 3.3060 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1525WARNING: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 3ms/step - loss: 3.3419 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3386 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6365WARNING: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 3ms/step - loss: 3.3195 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2562 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3094 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0344WARNING: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 3ms/step - loss: 3.2103 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1966WARNING: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: 3.3668 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - 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 3ms/step - loss: 3.4327 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6914WARNING: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: 3.2783 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2796 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4044 - lr: 1.5034e-07
Epoch 166/200
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: 3.3033 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3485 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5033WARNING: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 3ms/step - loss: 3.2474 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2618 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0797WARNING: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 3ms/step - loss: 3.2108 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3291 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2940 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2520 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8774WARNING: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 3ms/step - loss: 3.3044 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3778 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3079 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7954WARNING: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 3ms/step - loss: 3.3063 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2668 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2232 - lr: 3.7074e-08
Epoch 180/200
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 3ms/step - loss: 3.2952 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2285 - lr: 3.0354e-08
Epoch 182/200
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 3ms/step - loss: 3.2757 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2725 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3475 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2656 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2749 - lr: 1.8410e-08
Epoch 187/200
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 3ms/step - loss: 3.2999 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2065 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2645 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1890WARNING: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 3ms/step - loss: 3.5667 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0134WARNING: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 3ms/step - loss: 3.2043 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2389 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7941WARNING: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 3ms/step - loss: 3.2622 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1967 - lr: 8.2724e-09
Epoch 195/200
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 3ms/step - loss: 3.3148 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2689 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2942 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2670 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7720WARNING: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 3ms/step - loss: 3.2053 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3475 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
483 Pilot03 1 cnn1d ... -2.516991 -0.101124 0.001543
484 Pilot02 1 cnn1d ... -9.384893 -0.004659 0.869503
485 Pilot02 1 cnn1d ... -3.859385 0.002006 0.943612
486 Pilot02 1 cnn1d ... -7.035677 -0.025044 0.377080
487 Pilot02 1 cnn1d ... -6.914194 -0.034960 0.217506
[488 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0
train
(35921, 10)
test
(364536, 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
256 |256 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
3 |3 |kernel_size0
5 |5 |kernel_size1
3 |3 |kernel_size2
5 |5 |pool_size0
4 |4 |pool_size1
1 |1 |pool_size2
3 |3 |stride_size0
1 |1 |stride_size1
3 |3 |stride_size2
0.2 |0.2 |dropout0
0.4 |0.4 |dropout1
0.1 |0.1 |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 05s]
val_loss: 16.644887924194336
Best val_loss So Far: 16.644887924194336
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
128 |64 |filter_unit1
1 |3 |kernel_size0
1 |5 |kernel_size1
5 |5 |pool_size0
4 |4 |pool_size1
5 |3 |stride_size0
1 |1 |stride_size1
0 |0.2 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 16.284908294677734
Best val_loss So Far: 16.284908294677734
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
5 |1 |kernel_size0
2 |1 |kernel_size1
4 |5 |pool_size0
2 |4 |pool_size1
3 |5 |stride_size0
2 |1 |stride_size1
0 |0 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 16.05049705505371
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
32 |32 |filter_unit0
4 |5 |kernel_size0
3 |4 |pool_size0
2 |3 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 20.048717498779297
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 13s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
128 |None |filter_unit2
2 |5 |kernel_size0
3 |2 |kernel_size1
5 |None |kernel_size2
4 |4 |pool_size0
4 |2 |pool_size1
1 |None |pool_size2
1 |3 |stride_size0
2 |2 |stride_size1
5 |None |stride_size2
0 |0 |dropout0
0.4 |0.1 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 16.588838577270508
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
256 |128 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |5 |kernel_size0
3 |2 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
3 |4 |pool_size0
2 |2 |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
3 |3 |stride_size0
3 |2 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0 |0 |dropout0
0.2 |0.1 |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 16.701047897338867
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 24s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |32 |filter_unit0
256 |128 |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
5 |5 |kernel_size0
2 |2 |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
4 |4 |pool_size0
1 |2 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
3 |3 |stride_size0
4 |2 |stride_size1
1 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0.4 |0 |dropout0
0.4 |0.1 |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 16.822057723999023
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
2 |5 |kernel_size0
4 |2 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
1 |4 |pool_size0
1 |2 |pool_size1
1 |None |pool_size2
4 |None |pool_size3
5 |3 |stride_size0
5 |2 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.4 |0 |dropout0
0 |0.1 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 16.855310440063477
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
5 |5 |kernel_size0
3 |2 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
1 |4 |pool_size0
3 |2 |pool_size1
3 |None |pool_size2
5 |None |pool_size3
2 |None |pool_size4
2 |3 |stride_size0
5 |2 |stride_size1
3 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0 |0 |dropout0
0 |0.1 |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 07s]
val_loss: 16.139995574951172
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 43s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |32 |filter_unit0
32 |128 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
3 |2 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
2 |4 |pool_size0
4 |2 |pool_size1
2 |None |pool_size2
5 |None |pool_size3
5 |3 |stride_size0
2 |2 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0.4 |0 |dropout0
0.1 |0.1 |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 17.20566177368164
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |32 |filter_unit0
256 |128 |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
5 |2 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |4 |pool_size0
3 |2 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |3 |stride_size0
1 |2 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.4 |0 |dropout0
0.4 |0.1 |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 16.633241653442383
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 00m 54s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |32 |filter_unit0
1 |5 |kernel_size0
5 |4 |pool_size0
3 |3 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 09s]
val_loss: 16.743003845214844
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 03s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
3 |5 |kernel_size0
3 |2 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
3 |4 |pool_size0
1 |2 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
2 |3 |stride_size0
5 |2 |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.1 |0 |dropout0
0.2 |0.1 |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.12435531616211
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 10s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |32 |filter_unit0
1 |5 |kernel_size0
3 |4 |pool_size0
4 |3 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 17.15752601623535
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 12s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
32 |32 |filter_unit0
3 |5 |kernel_size0
4 |4 |pool_size0
5 |3 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 17.221485137939453
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 15s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
4 |5 |kernel_size0
3 |2 |kernel_size1
1 |4 |pool_size0
1 |2 |pool_size1
4 |3 |stride_size0
2 |2 |stride_size1
0.2 |0 |dropout0
0.1 |0.1 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 16.916337966918945
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 18s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
5 |5 |kernel_size0
2 |2 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
1 |4 |pool_size0
1 |2 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
2 |None |pool_size4
1 |3 |stride_size0
2 |2 |stride_size1
3 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.1 |0 |dropout0
0.4 |0.1 |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 07s]
val_loss: 16.619674682617188
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 26s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
32 |128 |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
3 |5 |kernel_size0
2 |2 |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
4 |4 |pool_size0
3 |2 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
4 |3 |stride_size0
5 |2 |stride_size1
1 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.2 |0 |dropout0
0.1 |0.1 |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 16.472261428833008
Best val_loss So Far: 16.05049705505371
Total elapsed time: 00h 01m 32s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
1 |5 |kernel_size0
3 |2 |kernel_size1
5 |4 |pool_size0
2 |2 |pool_size1
4 |3 |stride_size0
3 |2 |stride_size1
0.1 |0 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 15.842028617858887
Best val_loss So Far: 15.842028617858887
Total elapsed time: 00h 01m 36s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |128 |filter_unit0
32 |128 |filter_unit1
64 |None |filter_unit2
3 |1 |kernel_size0
2 |3 |kernel_size1
2 |None |kernel_size2
1 |5 |pool_size0
3 |2 |pool_size1
2 |None |pool_size2
5 |4 |stride_size0
3 |3 |stride_size1
2 |None |stride_size2
0 |0.1 |dropout0
0.2 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 17.1778621673584
Best val_loss So Far: 15.842028617858887
Total elapsed time: 00h 01m 41s
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.1, 'dropout1': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 19.2136
4/4 [==============================] - ETA: 0s - loss: 17.8971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 25ms/step - loss: 17.8971 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 16.2297 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 15.2022 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 14.9006WARNING: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 7ms/step - loss: 14.0862 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6699WARNING: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 7ms/step - loss: 12.5498 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 11.5045 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 10.2666 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7878WARNING: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 7ms/step - loss: 9.4283 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 8.4434 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 7.6726 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5914WARNING: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 7ms/step - loss: 7.2736 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.9179 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.3939 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.1191 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.1030 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.5534 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.4228 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8943WARNING: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 7ms/step - loss: 5.1420 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.9125 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.8340 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.8764 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6983WARNING: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 7ms/step - loss: 4.4747 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.3976 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.3359 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9512 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8785 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7977 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7079WARNING: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 7ms/step - loss: 3.5176 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8909WARNING: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 7ms/step - loss: 3.8010 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3758 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6883WARNING: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 7ms/step - loss: 3.2998 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3424WARNING: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 7ms/step - loss: 3.1556 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1844 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4329WARNING: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 7ms/step - loss: 3.3967 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1564 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2146WARNING: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 7ms/step - loss: 3.0063 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9668 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0184 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9899WARNING: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 7ms/step - loss: 2.6454 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7041WARNING: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 7ms/step - loss: 2.8680 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5942WARNING: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 7ms/step - loss: 2.8990 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8124 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7213 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5870 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8291 - lr: 1.0000e-04
Epoch 46/200
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 7ms/step - loss: 2.6375 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5128 - lr: 1.0000e-04
Epoch 48/200
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 7ms/step - loss: 2.4160 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1966WARNING: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 7ms/step - loss: 2.5792 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6631WARNING: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 7ms/step - loss: 2.3525 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8857WARNING: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 7ms/step - loss: 2.4024 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2505 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1958 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1513 - lr: 1.0000e-04
Epoch 55/200
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 7ms/step - loss: 2.0237 - lr: 1.0000e-04
Epoch 56/200
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 7ms/step - loss: 2.4788 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1875 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0355 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1750 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1743 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2404 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0300 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1050 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0157 - lr: 1.0000e-04
Epoch 65/200
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 7ms/step - loss: 2.1009 - lr: 1.0000e-04
Epoch 66/200
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 7ms/step - loss: 2.0903 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7700 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1415 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9666 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8837 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9185 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7215WARNING: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 7ms/step - loss: 1.9167 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8510WARNING: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 7ms/step - loss: 1.8420 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7387 - lr: 1.0000e-04
Epoch 75/200
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 7ms/step - loss: 1.8641 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7433WARNING: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 7ms/step - loss: 1.8078 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7662 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4656WARNING: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 7ms/step - loss: 2.1239 - lr: 1.0000e-04
Epoch 79/200
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 7ms/step - loss: 1.9847 - lr: 1.0000e-04
Epoch 80/200
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 7ms/step - loss: 1.9488 - lr: 1.0000e-04
Epoch 81/200
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 7ms/step - loss: 1.6686 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6867 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7677 - lr: 1.0000e-04
Epoch 84/200
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 7ms/step - loss: 1.9459 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8102 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6280 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9900WARNING: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 7ms/step - loss: 1.8191 - lr: 1.0000e-04
Epoch 88/200
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 7ms/step - loss: 1.7926 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7972 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8396 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5894 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8349 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6629 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9448WARNING: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 7ms/step - loss: 1.6015 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6884WARNING: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 7ms/step - loss: 1.5842 - lr: 1.0000e-04
Epoch 96/200
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 7ms/step - loss: 1.9949 - lr: 1.0000e-04
Epoch 97/200
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 7ms/step - loss: 1.5366 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3723WARNING: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 7ms/step - loss: 1.5170 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4746WARNING: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 7ms/step - loss: 1.7063 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7264 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7512 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5635 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8760WARNING: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 7ms/step - loss: 1.7635 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2911WARNING: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 7ms/step - loss: 1.4882 - lr: 6.7032e-05
Epoch 105/200
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 8ms/step - loss: 1.4129 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5745WARNING: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 7ms/step - loss: 1.5659 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3316WARNING: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 7ms/step - loss: 1.9148 - lr: 4.9659e-05
Epoch 108/200
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 7ms/step - loss: 1.4981 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5780 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3994 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9877WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4658 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5758 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8408WARNING: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 7ms/step - loss: 1.7333 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3530 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5340 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5262 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6844 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8905WARNING: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 7ms/step - loss: 1.6857 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2007WARNING: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 7ms/step - loss: 1.4598 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5937 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6365 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4573 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8876 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8857WARNING: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 7ms/step - loss: 1.6290 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4923 - lr: 8.2085e-06
Epoch 126/200
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 7ms/step - loss: 1.4299 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4319 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5940 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7225WARNING: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 7ms/step - loss: 1.6418 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5664WARNING: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 7ms/step - loss: 1.5199 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6325 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4682 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6886WARNING: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 7ms/step - loss: 1.5821 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5014WARNING: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 7ms/step - loss: 1.5840 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5028 - lr: 3.0197e-06
Epoch 136/200
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 7ms/step - loss: 1.5885 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3607 - lr: 2.4723e-06
Epoch 138/200
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 7ms/step - loss: 1.5498 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4846 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7370 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7421WARNING: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 7ms/step - loss: 1.6303 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5183 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5814 - lr: 1.3569e-06
Epoch 144/200
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 7ms/step - loss: 1.5687 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2974 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5909WARNING: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 7ms/step - loss: 1.4768 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4913 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6430 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6377 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5017 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6310 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1477WARNING: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 7ms/step - loss: 1.6735 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4039WARNING: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 7ms/step - loss: 1.3894 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5141 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6495 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4700 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5518 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7986 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7291WARNING: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 9ms/step - loss: 1.4962 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5730 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4831 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7113 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0337WARNING: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 7ms/step - loss: 1.6614 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8404 - lr: 1.6616e-07
Epoch 165/200
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 7ms/step - loss: 1.5449 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5707 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6308 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5268 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7512WARNING: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 7ms/step - loss: 1.7072 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4686WARNING: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 7ms/step - loss: 1.4201 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6665 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5782 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8049WARNING: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 7ms/step - loss: 1.4749 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5941 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6957 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7616WARNING: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 7ms/step - loss: 1.7534 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4709 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7026 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4848WARNING: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 7ms/step - loss: 1.6621 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4591WARNING: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 7ms/step - loss: 1.5607 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5530 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7285 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6061 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3265WARNING: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 7ms/step - loss: 1.6129 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8296 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8435WARNING: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 7ms/step - loss: 1.7134 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5872 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9298 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6891 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8586WARNING: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 7ms/step - loss: 1.6511 - lr: 1.2341e-08
Epoch 191/200
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 7ms/step - loss: 1.5021 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6602 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5488 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6994WARNING: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 7ms/step - loss: 1.6195 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2157WARNING: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 7ms/step - loss: 1.3840 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4112WARNING: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 7ms/step - loss: 1.5756 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5104 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6053WARNING: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 7ms/step - loss: 1.4676 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6025WARNING: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 7ms/step - loss: 1.5374 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7368 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.1, 'dropout1': 0.30000000000000004}
1/39 [..............................] - ETA: 8s
24/39 [=================>............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
484 Pilot02 1 cnn1d ... -9.384893 -0.004659 0.869503
485 Pilot02 1 cnn1d ... -3.859385 0.002006 0.943612
486 Pilot02 1 cnn1d ... -7.035677 -0.025044 0.377080
487 Pilot02 1 cnn1d ... -6.914194 -0.034960 0.217506
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
[489 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
256 |256 |filter_unit2
2 |2 |kernel_size0
2 |2 |kernel_size1
1 |1 |kernel_size2
2 |2 |pool_size0
1 |1 |pool_size1
1 |1 |pool_size2
1 |1 |stride_size0
2 |2 |stride_size1
2 |2 |stride_size2
0 |0 |dropout0
0.3 |0.3 |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
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 19.504106521606445
Best val_loss So Far: 19.504106521606445
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |128 |filter_unit0
256 |32 |filter_unit1
256 |256 |filter_unit2
256 |None |filter_unit3
3 |2 |kernel_size0
3 |2 |kernel_size1
5 |1 |kernel_size2
5 |None |kernel_size3
3 |2 |pool_size0
1 |1 |pool_size1
2 |1 |pool_size2
2 |None |pool_size3
4 |1 |stride_size0
3 |2 |stride_size1
4 |2 |stride_size2
3 |None |stride_size3
0.4 |0 |dropout0
0.4 |0.3 |dropout1
0.4 |0 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.03017807006836
Best val_loss So Far: 19.03017807006836
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
128 |256 |filter_unit1
128 |256 |filter_unit2
3 |3 |kernel_size0
2 |3 |kernel_size1
1 |5 |kernel_size2
2 |3 |pool_size0
1 |1 |pool_size1
5 |2 |pool_size2
1 |4 |stride_size0
4 |3 |stride_size1
5 |4 |stride_size2
0 |0.4 |dropout0
0.1 |0.4 |dropout1
0 |0.4 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.209606170654297
Best val_loss So Far: 19.03017807006836
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
1 |3 |kernel_size0
2 |3 |pool_size0
2 |4 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.54609489440918
Best val_loss So Far: 19.03017807006836
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |128 |filter_unit0
2 |3 |kernel_size0
5 |3 |pool_size0
3 |4 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 17.632915496826172
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
1 |2 |kernel_size0
1 |5 |pool_size0
5 |3 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 18.758094787597656
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 23s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
2 |2 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
4 |5 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |3 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0 |0.1 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.251056671142578
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
4 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
2 |5 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
3 |3 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
0.3 |0.1 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.328285217285156
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
3 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |5 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
1 |3 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.4 |0.1 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.381855010986328
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 41s
Search: Running Trial #10
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
256 |None |filter_unit4
4 |2 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
1 |5 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |3 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0.4 |0.1 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.384748458862305
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
3 |2 |kernel_size0
1 |None |kernel_size1
4 |5 |pool_size0
5 |None |pool_size1
2 |3 |stride_size0
5 |None |stride_size1
0.4 |0.1 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.36302947998047
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
2 |2 |kernel_size0
1 |None |kernel_size1
4 |5 |pool_size0
5 |None |pool_size1
5 |3 |stride_size0
5 |None |stride_size1
0.1 |0.1 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 18.602869033813477
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 52s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
3 |2 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
2 |3 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0 |0.1 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 18.107959747314453
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
3 |2 |kernel_size0
2 |None |kernel_size1
1 |5 |pool_size0
4 |None |pool_size1
1 |3 |stride_size0
4 |None |stride_size1
0.3 |0.1 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 18.96013641357422
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 03s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
4 |2 |kernel_size0
1 |None |kernel_size1
2 |5 |pool_size0
2 |None |pool_size1
5 |3 |stride_size0
5 |None |stride_size1
0.3 |0.1 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.19892692565918
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
1 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
2 |5 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
2 |3 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
0.1 |0.1 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 18.949094772338867
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
2 |2 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
1 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
5 |None |pool_size4
3 |3 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.4 |0.1 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 08s]
val_loss: 19.37594223022461
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 20s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
5 |2 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |3 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
0.1 |0.1 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 18.854780197143555
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
1 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |5 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
2 |3 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0.2 |0.1 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.381067276000977
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 30s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
4 |2 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
4 |5 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
5 |3 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0.3 |0.1 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.703031539916992
Best val_loss So Far: 17.632915496826172
Total elapsed time: 00h 01m 35s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 3, 'dropout0': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 15.5665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 14.4619 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 14.8622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.2156 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.9004 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.6557 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0908WARNING: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 4ms/step - loss: 13.3851 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.0735 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8362 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0611WARNING: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 4ms/step - loss: 12.5776 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6022WARNING: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 4ms/step - loss: 12.3005 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.0228 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.7016 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7111WARNING: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 4ms/step - loss: 11.4351 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.1904 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7087WARNING: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: 10.9065 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.6308 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3686 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.0615 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7140WARNING: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 4ms/step - loss: 9.8140 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6147WARNING: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: 9.5228 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2750 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9765 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9484WARNING: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: 8.7125 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3415WARNING: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: 8.4087 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2831 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.0010 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9460WARNING: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 4ms/step - loss: 7.7721 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8336WARNING: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 4ms/step - loss: 7.5342 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3990 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3165WARNING: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 4ms/step - loss: 7.1420 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9262 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7580 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5696 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5768 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8239WARNING: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 4ms/step - loss: 6.3119 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4953WARNING: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 4ms/step - loss: 6.1793 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1025WARNING: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: 6.0541 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8452 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8168WARNING: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 4ms/step - loss: 5.8110 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8671WARNING: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 4ms/step - loss: 5.7534 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6653 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1886WARNING: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 4ms/step - loss: 5.5062 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7166WARNING: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 4ms/step - loss: 5.4397 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5196WARNING: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 4ms/step - loss: 5.3520 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8395WARNING: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 4ms/step - loss: 5.3181 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2628 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2253 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8186WARNING: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 4ms/step - loss: 5.1461 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0905 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0614 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0819 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0185 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9542 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8838 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9603 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1184WARNING: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 4ms/step - loss: 4.8290 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0293WARNING: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: 4.8543 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7079WARNING: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 4ms/step - loss: 4.7998 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8329 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7353 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8096 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7527 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7720WARNING: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 4ms/step - loss: 4.7094 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6573 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7146WARNING: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 4ms/step - loss: 4.6684 - lr: 1.0000e-04
Epoch 65/200
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: 4.6878 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3456WARNING: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 4ms/step - loss: 4.6171 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6184 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6498 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5566 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1700WARNING: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 4ms/step - loss: 4.5813 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6152WARNING: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: 4.5390 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0746WARNING: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 4ms/step - loss: 4.5060 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5430 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6919WARNING: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 4ms/step - loss: 4.4722 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8519WARNING: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: 4.4906 - lr: 1.0000e-04
Epoch 76/200
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 5ms/step - loss: 4.4828 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0206WARNING: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 4ms/step - loss: 4.4663 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6636WARNING: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 4ms/step - loss: 4.4396 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3800 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0941WARNING: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 4ms/step - loss: 4.4389 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4767WARNING: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: 4.3788 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3963 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3355WARNING: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 4ms/step - loss: 4.2977 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3340 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7985WARNING: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 4ms/step - loss: 4.3433 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2790 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2877 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0069WARNING: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 4ms/step - loss: 4.2755 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8283WARNING: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 4ms/step - loss: 4.1731 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1992 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6393WARNING: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 4ms/step - loss: 4.2306 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8205WARNING: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 4ms/step - loss: 4.2377 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2057 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1799 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1576 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2773WARNING: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: 4.1480 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1757 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1675 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7901WARNING: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 4ms/step - loss: 4.0555 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7113WARNING: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 4ms/step - loss: 4.0698 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5642WARNING: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 4ms/step - loss: 4.0399 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7295WARNING: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 4ms/step - loss: 4.1871 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0136 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0801 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1204 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0387 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0617 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0098 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0127 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1777WARNING: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 4ms/step - loss: 3.9715 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0057 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9402 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0171 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0213 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9957 - lr: 2.2313e-05
Epoch 116/200
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 4ms/step - loss: 4.0407 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9568 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0523 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9987WARNING: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: 3.9919 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9389 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9762 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0321 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9692 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9819 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0358 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9734 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8792 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2655WARNING: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 4ms/step - loss: 3.9422 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1662WARNING: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 4ms/step - loss: 4.0491 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0885 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9639 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0085 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9242 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0288 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7134WARNING: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 4ms/step - loss: 3.9544 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9960 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9947 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9317 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9552 - lr: 2.0242e-06
Epoch 140/200
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 4ms/step - loss: 3.9472 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9575 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9373 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9830 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8923 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9609 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9877 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9642 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7893WARNING: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 4ms/step - loss: 3.9619 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9372 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9823 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0163 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3139WARNING: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 4ms/step - loss: 3.9711 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9718WARNING: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 4ms/step - loss: 4.0159 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9830 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3938WARNING: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 4ms/step - loss: 3.9169 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0037 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0287 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3677WARNING: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 4ms/step - loss: 3.9831 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9712 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4881WARNING: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 4ms/step - loss: 3.9767 - lr: 2.2429e-07
Epoch 162/200
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 4ms/step - loss: 4.0262 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9368 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0407 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0755WARNING: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 4ms/step - loss: 4.0041 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9612 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4370WARNING: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 4ms/step - loss: 4.0009 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3688WARNING: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: 3.9835 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8814WARNING: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 4ms/step - loss: 4.0060 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9848 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9502 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9805 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1809WARNING: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 4ms/step - loss: 4.0110 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4630WARNING: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 4ms/step - loss: 3.9178 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2466WARNING: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 4ms/step - loss: 3.9092 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9476 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0062 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9614 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9439 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9884 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9742 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9928 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9596 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1969WARNING: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 4ms/step - loss: 3.9916 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0154 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9806 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3434WARNING: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 4ms/step - loss: 3.9723 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9615 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1246WARNING: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 4ms/step - loss: 3.9833 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9570 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9577 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9571 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9669 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0165 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9884 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0073 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3165WARNING: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 4ms/step - loss: 3.9364 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1666WARNING: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 4ms/step - loss: 3.9520 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8133WARNING: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 4ms/step - loss: 3.9421 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0361 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 3, 'dropout0': 0.1}
1/39 [..............................] - ETA: 5s
38/39 [============================>.] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
485 Pilot02 1 cnn1d ... -3.859385 0.002006 0.943612
486 Pilot02 1 cnn1d ... -7.035677 -0.025044 0.377080
487 Pilot02 1 cnn1d ... -6.914194 -0.034960 0.217506
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
[490 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
64 |64 |filter_unit3
4 |4 |kernel_size0
3 |3 |kernel_size1
3 |3 |kernel_size2
3 |3 |kernel_size3
3 |3 |pool_size0
3 |3 |pool_size1
4 |4 |pool_size2
3 |3 |pool_size3
1 |1 |stride_size0
2 |2 |stride_size1
5 |5 |stride_size2
5 |5 |stride_size3
0.3 |0.3 |dropout0
0.3 |0.3 |dropout1
0.3 |0.3 |dropout2
0.4 |0.4 |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: 19.3804874420166
Best val_loss So Far: 19.3804874420166
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |32 |filter_unit0
256 |32 |filter_unit1
64 |128 |filter_unit2
3 |4 |kernel_size0
2 |3 |kernel_size1
5 |3 |kernel_size2
5 |3 |pool_size0
2 |3 |pool_size1
1 |4 |pool_size2
2 |1 |stride_size0
1 |2 |stride_size1
4 |5 |stride_size2
0.1 |0.3 |dropout0
0.4 |0.3 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.55220603942871
Best val_loss So Far: 19.3804874420166
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
32 |128 |filter_unit2
5 |4 |kernel_size0
1 |3 |kernel_size1
1 |3 |kernel_size2
3 |3 |pool_size0
2 |3 |pool_size1
4 |4 |pool_size2
4 |1 |stride_size0
1 |2 |stride_size1
4 |5 |stride_size2
0.1 |0.3 |dropout0
0.4 |0.3 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 20.22282600402832
Best val_loss So Far: 19.3804874420166
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |32 |filter_unit0
256 |32 |filter_unit1
64 |128 |filter_unit2
1 |4 |kernel_size0
2 |3 |kernel_size1
5 |3 |kernel_size2
1 |3 |pool_size0
4 |3 |pool_size1
4 |4 |pool_size2
5 |1 |stride_size0
1 |2 |stride_size1
4 |5 |stride_size2
0.2 |0.3 |dropout0
0 |0.3 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.462566375732422
Best val_loss So Far: 19.3804874420166
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |32 |filter_unit0
32 |32 |filter_unit1
32 |128 |filter_unit2
128 |64 |filter_unit3
5 |4 |kernel_size0
1 |3 |kernel_size1
2 |3 |kernel_size2
1 |3 |kernel_size3
2 |3 |pool_size0
3 |3 |pool_size1
2 |4 |pool_size2
2 |3 |pool_size3
4 |1 |stride_size0
3 |2 |stride_size1
5 |5 |stride_size2
3 |5 |stride_size3
0.2 |0.3 |dropout0
0 |0.3 |dropout1
0.2 |0.3 |dropout2
0.2 |0.4 |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.728010177612305
Best val_loss So Far: 19.3804874420166
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |32 |filter_unit0
3 |4 |kernel_size0
1 |3 |pool_size0
5 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 18.98760223388672
Best val_loss So Far: 18.98760223388672
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
4 |3 |kernel_size0
1 |1 |pool_size0
2 |5 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.673398971557617
Best val_loss So Far: 18.98760223388672
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |256 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
4 |3 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
3 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
3 |5 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
2 |None |stride_size4
0.2 |0.3 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.94550895690918
Best val_loss So Far: 18.98760223388672
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
2 |3 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
3 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
4 |5 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0 |0.3 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 18.96442413330078
Best val_loss So Far: 18.96442413330078
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |64 |filter_unit0
32 |32 |filter_unit1
4 |2 |kernel_size0
1 |4 |kernel_size1
5 |3 |pool_size0
2 |3 |pool_size1
4 |4 |stride_size0
2 |2 |stride_size1
0 |0 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 20.8713436126709
Best val_loss So Far: 18.96442413330078
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |64 |filter_unit0
256 |32 |filter_unit1
5 |2 |kernel_size0
3 |4 |kernel_size1
4 |3 |pool_size0
5 |3 |pool_size1
4 |4 |stride_size0
5 |2 |stride_size1
0.1 |0 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.306577682495117
Best val_loss So Far: 18.96442413330078
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
64 |None |filter_unit4
3 |2 |kernel_size0
2 |4 |kernel_size1
4 |2 |kernel_size2
4 |4 |kernel_size3
2 |None |kernel_size4
5 |3 |pool_size0
1 |3 |pool_size1
3 |5 |pool_size2
5 |2 |pool_size3
4 |None |pool_size4
2 |4 |stride_size0
3 |2 |stride_size1
4 |3 |stride_size2
5 |1 |stride_size3
4 |None |stride_size4
0 |0 |dropout0
0.1 |0.4 |dropout1
0.3 |0.3 |dropout2
0.1 |0 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 07s]
val_loss: 19.43060874938965
Best val_loss So Far: 18.96442413330078
Total elapsed time: 00h 00m 58s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
128 |32 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
4 |2 |kernel_size0
5 |4 |kernel_size1
2 |2 |kernel_size2
1 |4 |kernel_size3
1 |3 |pool_size0
3 |3 |pool_size1
1 |5 |pool_size2
4 |2 |pool_size3
3 |4 |stride_size0
1 |2 |stride_size1
2 |3 |stride_size2
2 |1 |stride_size3
0.1 |0 |dropout0
0.1 |0.4 |dropout1
0 |0.3 |dropout2
0.1 |0 |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.863740921020508
Best val_loss So Far: 18.96442413330078
Total elapsed time: 00h 01m 03s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
1 |2 |kernel_size0
3 |3 |pool_size0
1 |4 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 18.507776260375977
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |128 |filter_unit0
3 |1 |kernel_size0
4 |3 |pool_size0
1 |1 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.05190658569336
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 10s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
4 |1 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
1 |3 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
4 |1 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.2 |0.1 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 19.72715187072754
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
4 |1 |kernel_size0
4 |None |kernel_size1
4 |3 |pool_size0
4 |None |pool_size1
3 |1 |stride_size0
4 |None |stride_size1
0.3 |0.1 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 18.637208938598633
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 20s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
3 |1 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
3 |1 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.3 |0.1 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.596450805664062
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 26s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
3 |1 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
3 |3 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
1 |1 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.4 |0.1 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 07s]
val_loss: 19.136577606201172
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 33s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
1 |1 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
4 |3 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
2 |1 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
0 |0.1 |dropout0
0 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 20.40570640563965
Best val_loss So Far: 18.507776260375977
Total elapsed time: 00h 01m 38s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 1, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 8.4339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 7ms/step - loss: 8.9653 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 8.6839 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.4067 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 8.1358 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0352WARNING: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 6ms/step - loss: 7.8689 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.5798 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.3413 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.1088 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.8989 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.7350 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.5869 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9201WARNING: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 6ms/step - loss: 6.4516 - lr: 1.0000e-04
Epoch 13/200
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 6ms/step - loss: 6.3209 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2569WARNING: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: 6.2196 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.0862 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9960 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.8413 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.8445 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2261WARNING: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 6ms/step - loss: 5.7655 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.6773 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.6728 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4139WARNING: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 6ms/step - loss: 5.5409 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5544 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4496WARNING: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 6ms/step - loss: 5.4598 - lr: 1.0000e-04
Epoch 25/200
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 6ms/step - loss: 5.5013 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8414WARNING: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 6ms/step - loss: 5.4584 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.4497 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3749 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1376WARNING: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 6ms/step - loss: 5.3764 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8555WARNING: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 6ms/step - loss: 5.3487 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3013 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2899 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2320 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2115 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2006 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1665 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1373 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0670 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0844 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0001 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6844WARNING: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 6ms/step - loss: 5.0403 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9477 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9413 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9109 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.9150 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.9398 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0742WARNING: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 6ms/step - loss: 4.8727 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8224 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8172 - lr: 1.0000e-04
Epoch 50/200
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 6ms/step - loss: 4.7425 - lr: 1.0000e-04
Epoch 51/200
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 6ms/step - loss: 4.7391 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.7496 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2932WARNING: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 6ms/step - loss: 4.6430 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6682 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6689 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0634WARNING: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 6ms/step - loss: 4.6475 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6274 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6914WARNING: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 6ms/step - loss: 4.6130 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5890 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5322WARNING: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 6ms/step - loss: 4.5846 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5423 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5540 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4806 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4327 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4094 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3771 - lr: 1.0000e-04
Epoch 67/200
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 6ms/step - loss: 4.3761 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3893 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1552WARNING: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: 4.3390 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0458WARNING: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 6ms/step - loss: 4.3616 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3487 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2853 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1005WARNING: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 6ms/step - loss: 4.2250 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0901WARNING: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 6ms/step - loss: 4.2384 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2042 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1842 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1344WARNING: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 6ms/step - loss: 4.1676 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2018 - lr: 1.0000e-04
Epoch 79/200
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: 4.1382 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1211 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0996 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1778WARNING: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 6ms/step - loss: 4.0712 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3471WARNING: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: 4.0467 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0698 - lr: 1.0000e-04
Epoch 85/200
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 6ms/step - loss: 3.9935 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9788 - lr: 1.0000e-04
Epoch 87/200
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 7ms/step - loss: 3.9367 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9905WARNING: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 7ms/step - loss: 3.8913 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9059 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8935WARNING: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 6ms/step - loss: 3.8761 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8480 - lr: 1.0000e-04
Epoch 92/200
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 6ms/step - loss: 3.8556 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7993 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8571 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7959 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7667 - lr: 1.0000e-04
Epoch 97/200
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 6ms/step - loss: 3.7527 - lr: 1.0000e-04
Epoch 98/200
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 6ms/step - loss: 3.7710 - lr: 1.0000e-04
Epoch 99/200
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 6ms/step - loss: 3.7045 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7599 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6408 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2560WARNING: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 6ms/step - loss: 3.6360 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5527WARNING: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 6ms/step - loss: 3.6933 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6673 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2102WARNING: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 6ms/step - loss: 3.6359 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6402 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6309 - lr: 4.9659e-05
Epoch 108/200
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 6ms/step - loss: 3.6146 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6755 - lr: 4.0657e-05
Epoch 110/200
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 6ms/step - loss: 3.6676 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6142 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8344WARNING: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 6ms/step - loss: 3.6098 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6621 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6520 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6501 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6588WARNING: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 6ms/step - loss: 3.6858 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8418WARNING: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 6ms/step - loss: 3.5827 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6907 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6073 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6077 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1203WARNING: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: 3.5552 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4859WARNING: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 6ms/step - loss: 3.5815 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5509 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5720 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5369 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6036 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5585 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5974 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5562 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5754 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2383WARNING: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: 3.5629 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5610 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5558 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6037 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5921 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5430 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0328WARNING: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 6ms/step - loss: 3.5749 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5877 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6200WARNING: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 6ms/step - loss: 3.5677 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5702 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5717 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5696 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2967WARNING: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 6ms/step - loss: 3.5078 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6572 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7142WARNING: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: 3.5702 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5447 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5709 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9602WARNING: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 6ms/step - loss: 3.5794 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5790 - lr: 7.4466e-07
Epoch 150/200
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 6ms/step - loss: 3.5676 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5676 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5940 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5760 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8042WARNING: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: 3.5764 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1057WARNING: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 6ms/step - loss: 3.5615 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5847 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6261 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8222WARNING: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 6ms/step - loss: 3.5292 - lr: 3.0275e-07
Epoch 159/200
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 6ms/step - loss: 3.5482 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7109 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5835 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5326 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5506 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5821 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6446 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5633 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5829 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6486 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5269 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5529 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3878WARNING: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 6ms/step - loss: 3.5709 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5745 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5103WARNING: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 6ms/step - loss: 3.5490 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5424 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6069 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9788WARNING: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 6ms/step - loss: 3.5764 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5984 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5950 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5671 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1826WARNING: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 6ms/step - loss: 3.5857 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5555 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5591 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5674 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5657 - lr: 2.2487e-08
Epoch 185/200
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 7ms/step - loss: 3.5425 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.6319 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5664 - lr: 1.6659e-08
Epoch 188/200
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 6ms/step - loss: 3.5937 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5822 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5609 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5731 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5446 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5600 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5953 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5063 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5903 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5429 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5651 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5737 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2309WARNING: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 6ms/step - loss: 3.5551 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 1, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.1}
1/39 [..............................] - ETA: 5s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
486 Pilot02 1 cnn1d ... -7.035677 -0.025044 0.377080
487 Pilot02 1 cnn1d ... -6.914194 -0.034960 0.217506
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
[491 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
256 |256 |filter_unit2
32 |32 |filter_unit3
32 |32 |filter_unit4
4 |4 |kernel_size0
2 |2 |kernel_size1
2 |2 |kernel_size2
3 |3 |kernel_size3
2 |2 |kernel_size4
4 |4 |pool_size0
4 |4 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
1 |1 |pool_size4
2 |2 |stride_size0
4 |4 |stride_size1
4 |4 |stride_size2
5 |5 |stride_size3
4 |4 |stride_size4
0.4 |0.4 |dropout0
0 |0 |dropout1
0.2 |0.2 |dropout2
0.4 |0.4 |dropout3
0 |0 |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: 16.69541358947754
Best val_loss So Far: 16.69541358947754
Total elapsed time: 00h 00m 07s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |256 |filter_unit0
32 |32 |filter_unit1
32 |256 |filter_unit2
3 |4 |kernel_size0
5 |2 |kernel_size1
1 |2 |kernel_size2
2 |4 |pool_size0
2 |4 |pool_size1
2 |5 |pool_size2
4 |2 |stride_size0
4 |4 |stride_size1
3 |4 |stride_size2
0.2 |0.4 |dropout0
0.4 |0 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 17.990581512451172
Best val_loss So Far: 16.69541358947754
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |256 |filter_unit0
32 |32 |filter_unit1
64 |256 |filter_unit2
4 |4 |kernel_size0
1 |2 |kernel_size1
2 |2 |kernel_size2
4 |4 |pool_size0
5 |4 |pool_size1
2 |5 |pool_size2
2 |2 |stride_size0
2 |4 |stride_size1
3 |4 |stride_size2
0.3 |0.4 |dropout0
0.3 |0 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 16.832731246948242
Best val_loss So Far: 16.69541358947754
Total elapsed time: 00h 00m 17s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |256 |filter_unit0
64 |32 |filter_unit1
256 |256 |filter_unit2
64 |32 |filter_unit3
4 |4 |kernel_size0
4 |2 |kernel_size1
1 |2 |kernel_size2
5 |3 |kernel_size3
4 |4 |pool_size0
1 |4 |pool_size1
1 |5 |pool_size2
4 |4 |pool_size3
5 |2 |stride_size0
4 |4 |stride_size1
1 |4 |stride_size2
3 |5 |stride_size3
0 |0.4 |dropout0
0.4 |0 |dropout1
0.4 |0.2 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 16.992055892944336
Best val_loss So Far: 16.69541358947754
Total elapsed time: 00h 00m 22s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |256 |filter_unit0
128 |32 |filter_unit1
256 |256 |filter_unit2
256 |32 |filter_unit3
64 |32 |filter_unit4
4 |4 |kernel_size0
2 |2 |kernel_size1
4 |2 |kernel_size2
5 |3 |kernel_size3
3 |2 |kernel_size4
1 |4 |pool_size0
5 |4 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
3 |1 |pool_size4
2 |2 |stride_size0
3 |4 |stride_size1
3 |4 |stride_size2
2 |5 |stride_size3
3 |4 |stride_size4
0 |0.4 |dropout0
0.1 |0 |dropout1
0 |0.2 |dropout2
0.1 |0.4 |dropout3
0 |0 |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 07s]
val_loss: 16.404356002807617
Best val_loss So Far: 16.404356002807617
Total elapsed time: 00h 00m 29s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
64 |256 |filter_unit2
64 |256 |filter_unit3
256 |64 |filter_unit4
1 |4 |kernel_size0
3 |2 |kernel_size1
2 |4 |kernel_size2
3 |5 |kernel_size3
3 |3 |kernel_size4
2 |1 |pool_size0
3 |5 |pool_size1
4 |5 |pool_size2
2 |4 |pool_size3
5 |3 |pool_size4
5 |2 |stride_size0
2 |3 |stride_size1
3 |3 |stride_size2
4 |2 |stride_size3
3 |3 |stride_size4
0.1 |0 |dropout0
0 |0.1 |dropout1
0.1 |0 |dropout2
0.3 |0.1 |dropout3
0.1 |0 |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 16.738672256469727
Best val_loss So Far: 16.404356002807617
Total elapsed time: 00h 00m 36s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |64 |filter_unit0
64 |128 |filter_unit1
64 |256 |filter_unit2
256 |256 |filter_unit3
3 |4 |kernel_size0
4 |2 |kernel_size1
5 |4 |kernel_size2
5 |5 |kernel_size3
2 |1 |pool_size0
5 |5 |pool_size1
5 |5 |pool_size2
3 |4 |pool_size3
4 |2 |stride_size0
5 |3 |stride_size1
3 |3 |stride_size2
2 |2 |stride_size3
0.2 |0 |dropout0
0.4 |0.1 |dropout1
0.1 |0 |dropout2
0.4 |0.1 |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 16.067026138305664
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 00m 42s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |256 |filter_unit0
32 |64 |filter_unit1
32 |64 |filter_unit2
128 |256 |filter_unit3
1 |3 |kernel_size0
4 |4 |kernel_size1
5 |5 |kernel_size2
5 |5 |kernel_size3
4 |2 |pool_size0
3 |5 |pool_size1
2 |5 |pool_size2
3 |3 |pool_size3
4 |4 |stride_size0
1 |5 |stride_size1
2 |3 |stride_size2
2 |2 |stride_size3
0 |0.2 |dropout0
0 |0.4 |dropout1
0 |0.1 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 17.07653045654297
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 00m 48s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |256 |filter_unit0
32 |64 |filter_unit1
64 |64 |filter_unit2
32 |256 |filter_unit3
64 |None |filter_unit4
5 |3 |kernel_size0
4 |4 |kernel_size1
1 |5 |kernel_size2
1 |5 |kernel_size3
5 |None |kernel_size4
3 |2 |pool_size0
3 |5 |pool_size1
4 |5 |pool_size2
3 |3 |pool_size3
2 |None |pool_size4
4 |4 |stride_size0
1 |5 |stride_size1
5 |3 |stride_size2
1 |2 |stride_size3
2 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |0.4 |dropout1
0.2 |0.1 |dropout2
0.4 |0.4 |dropout3
0 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 16.8559627532959
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 00m 54s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |256 |filter_unit0
256 |64 |filter_unit1
32 |64 |filter_unit2
256 |256 |filter_unit3
4 |3 |kernel_size0
2 |4 |kernel_size1
2 |5 |kernel_size2
2 |5 |kernel_size3
2 |2 |pool_size0
1 |5 |pool_size1
5 |5 |pool_size2
5 |3 |pool_size3
1 |4 |stride_size0
4 |5 |stride_size1
1 |3 |stride_size2
2 |2 |stride_size3
0.3 |0.2 |dropout0
0.3 |0.4 |dropout1
0.1 |0.1 |dropout2
0.2 |0.4 |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 07s]
val_loss: 16.68128776550293
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 00s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |256 |filter_unit0
64 |64 |filter_unit1
32 |64 |filter_unit2
2 |3 |kernel_size0
5 |4 |kernel_size1
4 |5 |kernel_size2
5 |2 |pool_size0
2 |5 |pool_size1
1 |5 |pool_size2
5 |4 |stride_size0
3 |5 |stride_size1
4 |3 |stride_size2
0.1 |0.2 |dropout0
0.1 |0.4 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 16.63283348083496
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 05s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |256 |filter_unit0
4 |3 |kernel_size0
2 |2 |pool_size0
5 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 16.766937255859375
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 08s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |256 |filter_unit0
5 |3 |kernel_size0
3 |2 |pool_size0
3 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 17.45255470275879
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 10s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |256 |filter_unit0
64 |64 |filter_unit1
256 |64 |filter_unit2
128 |256 |filter_unit3
5 |3 |kernel_size0
2 |4 |kernel_size1
2 |5 |kernel_size2
4 |5 |kernel_size3
2 |2 |pool_size0
1 |5 |pool_size1
3 |5 |pool_size2
3 |3 |pool_size3
5 |4 |stride_size0
2 |5 |stride_size1
3 |3 |stride_size2
3 |2 |stride_size3
0 |0.2 |dropout0
0.2 |0.4 |dropout1
0.2 |0.1 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 16.36576271057129
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 16s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
256 |64 |filter_unit1
64 |64 |filter_unit2
2 |3 |kernel_size0
1 |4 |kernel_size1
5 |5 |kernel_size2
3 |2 |pool_size0
2 |5 |pool_size1
1 |5 |pool_size2
3 |4 |stride_size0
4 |5 |stride_size1
2 |3 |stride_size2
0.1 |0.2 |dropout0
0.1 |0.4 |dropout1
0.4 |0.1 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 16.448495864868164
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 21s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
32 |64 |filter_unit1
2 |3 |kernel_size0
1 |4 |kernel_size1
2 |2 |pool_size0
4 |5 |pool_size1
4 |4 |stride_size0
4 |5 |stride_size1
0.1 |0.2 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 17.95820426940918
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 25s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |256 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
5 |3 |kernel_size0
1 |4 |kernel_size1
1 |5 |kernel_size2
3 |2 |pool_size0
3 |5 |pool_size1
4 |5 |pool_size2
3 |4 |stride_size0
2 |5 |stride_size1
3 |3 |stride_size2
0 |0.2 |dropout0
0.4 |0.4 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 16.469650268554688
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 29s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |256 |filter_unit0
256 |64 |filter_unit1
256 |64 |filter_unit2
64 |256 |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
2 |4 |kernel_size1
2 |5 |kernel_size2
4 |5 |kernel_size3
1 |None |kernel_size4
3 |2 |pool_size0
2 |5 |pool_size1
2 |5 |pool_size2
5 |3 |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
3 |5 |stride_size1
3 |3 |stride_size2
2 |2 |stride_size3
2 |None |stride_size4
0.2 |0.2 |dropout0
0.4 |0.4 |dropout1
0.3 |0.1 |dropout2
0.2 |0.4 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 16.891284942626953
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 35s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |256 |filter_unit0
2 |3 |kernel_size0
5 |2 |pool_size0
4 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 18.698810577392578
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 37s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |256 |filter_unit0
4 |3 |kernel_size0
5 |2 |pool_size0
5 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 16.25745391845703
Best val_loss So Far: 16.067026138305664
Total elapsed time: 00h 01m 40s
{'n_layers': 4, 'filter_unit0': 256, 'filter_unit1': 64, 'filter_unit2': 64, 'filter_unit3': 256, 'kernel_size0': 3, 'kernel_size1': 4, 'kernel_size2': 5, 'kernel_size3': 5, 'pool_size0': 2, 'pool_size1': 5, 'pool_size2': 5, 'pool_size3': 3, 'stride_size0': 4, 'stride_size1': 5, 'stride_size2': 3, 'stride_size3': 2, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.1, 'dropout3': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 8.4042
4/4 [==============================] - ETA: 0s - loss: 8.8801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 57ms/step - loss: 8.8801 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 7.5198 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.3864 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.3846 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8827WARNING: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 12ms/step - loss: 5.1799 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.8258 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7059WARNING: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 12ms/step - loss: 4.3827 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9955 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9658 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8887 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7775 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1130 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7204WARNING: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 12ms/step - loss: 4.1373 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7155 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.4475 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0204WARNING: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 12ms/step - loss: 3.9151 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9068 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8644WARNING: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 12ms/step - loss: 3.7952 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5715 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5603 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.6541 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.4101 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7075WARNING: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 12ms/step - loss: 3.6646 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5662WARNING: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 12ms/step - loss: 3.3844 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3690 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2271 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8960 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0546 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2790 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1819 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2060WARNING: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 12ms/step - loss: 3.5163 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1673WARNING: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 12ms/step - loss: 3.1193 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2268 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6769 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8501 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8239WARNING: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 12ms/step - loss: 3.5079 - lr: 1.0000e-04
Epoch 37/200
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 12ms/step - loss: 3.0642 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8509 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8895 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0325 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8070WARNING: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 12ms/step - loss: 3.1625 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1324 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7161 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6625 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2308WARNING: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 12ms/step - loss: 3.0739 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7694 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8660 - lr: 1.0000e-04
Epoch 48/200
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 12ms/step - loss: 2.9843 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0171 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9453 - lr: 1.0000e-04
Epoch 51/200
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 12ms/step - loss: 2.8575 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7194 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7074 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7225 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5141 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7772 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7693 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6307 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2555 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6313 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3929WARNING: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 12ms/step - loss: 2.8090 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4466WARNING: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 12ms/step - loss: 2.4901 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9142 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6527WARNING: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 12ms/step - loss: 2.7899 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7283 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5270 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9435 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6710 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1289WARNING: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 12ms/step - loss: 2.6797 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6713WARNING: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 12ms/step - loss: 2.6433 - lr: 1.0000e-04
Epoch 71/200
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 12ms/step - loss: 2.8281 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6089 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6493 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2935 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4909 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6565WARNING: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 12ms/step - loss: 2.6166 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4930 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5766WARNING: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 12ms/step - loss: 2.7160 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - 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 12ms/step - loss: 2.6713 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6169 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4529 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6539 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4619 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9650WARNING: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 12ms/step - loss: 2.8387 - lr: 1.0000e-04
Epoch 85/200
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 12ms/step - loss: 2.6732 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6104 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3071 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5999WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9263 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4400 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7977 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4192 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3797 - lr: 1.0000e-04
Epoch 93/200
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 12ms/step - loss: 2.3695 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4022WARNING: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 12ms/step - loss: 2.6008 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0815WARNING: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 12ms/step - loss: 2.3177 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2078WARNING: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 12ms/step - loss: 2.7376 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6149 - lr: 1.0000e-04
Epoch 98/200
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 12ms/step - loss: 2.3357 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6155 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3725 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4470 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3157 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3623 - lr: 7.4082e-05
Epoch 104/200
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 12ms/step - loss: 2.5302 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3273 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3473 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2278 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - 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 12ms/step - loss: 1.8925 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3257 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2673 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1437 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2262WARNING: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 12ms/step - loss: 2.3441 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1196WARNING: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 12ms/step - loss: 2.1484 - lr: 2.7253e-05
Epoch 114/200
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 12ms/step - loss: 2.2300 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4083 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1544 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3188 - lr: 1.8268e-05
Epoch 118/200
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 12ms/step - loss: 2.7553 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2304WARNING: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 12ms/step - loss: 2.2510 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1834 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2154 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0445WARNING: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 12ms/step - loss: 2.1657 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4847 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3461WARNING: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 12ms/step - loss: 2.3417 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0365 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1074 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1104 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3844 - lr: 6.0810e-06
Epoch 129/200
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 12ms/step - loss: 2.3774 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7555WARNING: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 12ms/step - loss: 2.4033 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5307WARNING: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 12ms/step - loss: 2.2057 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3686 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3603 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4991 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3581 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3073WARNING: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 12ms/step - loss: 2.2844 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1018 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1647 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3123 - lr: 2.0242e-06
Epoch 140/200
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 12ms/step - loss: 2.1933 - lr: 1.8316e-06
Epoch 141/200
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 12ms/step - loss: 2.3193 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2640 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2929 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6887 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2741 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - 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 12ms/step - loss: 2.5332 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8777WARNING: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 12ms/step - loss: 2.3477 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2691WARNING: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 12ms/step - loss: 2.2776 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5085WARNING: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 12ms/step - loss: 2.2436 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2380WARNING: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 12ms/step - loss: 2.2198 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6237 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1667 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3077 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1470 - lr: 4.5166e-07
Epoch 155/200
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 12ms/step - loss: 2.4788 - lr: 4.0868e-07
Epoch 156/200
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 12ms/step - loss: 2.2706 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0019 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1208 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3666 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3237 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1175 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3114 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3369 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2291 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5462 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3157 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4711 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4711 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4539 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0366 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2851WARNING: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 12ms/step - loss: 2.5442 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3683 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3910WARNING: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 12ms/step - loss: 2.1899 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3228 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3885 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6538WARNING: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 12ms/step - loss: 2.3216 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9834 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0621 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1160 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2286 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3186 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1495 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3712 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1070WARNING: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 12ms/step - loss: 2.4161 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5105 - lr: 2.0347e-08
Epoch 186/200
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 12ms/step - loss: 2.2538 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0293 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2537 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3480 - lr: 1.3639e-08
Epoch 190/200
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 12ms/step - loss: 2.1869 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0250 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2614 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1352 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3008 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2903 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0401 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3881 - lr: 6.1283e-09
Epoch 198/200
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 12ms/step - loss: 2.3067 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2033 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4949 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 256, 'filter_unit1': 64, 'filter_unit2': 64, 'filter_unit3': 256, 'kernel_size0': 3, 'kernel_size1': 4, 'kernel_size2': 5, 'kernel_size3': 5, 'pool_size0': 2, 'pool_size1': 5, 'pool_size2': 5, 'pool_size3': 3, 'stride_size0': 4, 'stride_size1': 5, 'stride_size2': 3, 'stride_size3': 2, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.1, 'dropout3': 0.4}
1/39 [..............................] - ETA: 14s
17/39 [============>.................] - ETA: 0s
33/39 [========================>.....] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 5ms/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
.. ... ... ... ... ... ... ...
487 Pilot02 1 cnn1d ... -6.914194 -0.034960 0.217506
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
[492 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 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
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
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 17.660797119140625
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
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 |4 |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 |2 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 07s]
val_loss: 19.280986785888672
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
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 |4 |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 |2 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.2 |0.3 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 19.561920166015625
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |4 |kernel_size0
5 |1 |pool_size0
4 |2 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 18.526599884033203
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
4 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.4 |0.3 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.525846481323242
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
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 |4 |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 |2 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.4 |0.3 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.341644287109375
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 29s
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
256 |None |filter_unit3
64 |None |filter_unit4
5 |4 |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 |2 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0 |0.3 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.218753814697266
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 36s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |4 |kernel_size0
4 |1 |pool_size0
1 |2 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.885480880737305
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 39s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
5 |4 |kernel_size0
4 |1 |pool_size0
1 |2 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.14421272277832
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
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 |4 |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 |2 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0.3 |0.3 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 07s]
val_loss: 19.353227615356445
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |4 |kernel_size0
1 |1 |pool_size0
4 |2 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 20.497323989868164
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
2 |4 |kernel_size0
3 |None |kernel_size1
3 |1 |pool_size0
3 |None |pool_size1
2 |2 |stride_size0
2 |None |stride_size1
0.1 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.757600784301758
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
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 |4 |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 |2 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0 |0.3 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.302303314208984
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
5 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |1 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |2 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.39504051208496
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 05s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
3 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
2 |1 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.2 |0.3 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.28480339050293
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 09s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
2 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |1 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
1 |2 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
0.3 |0.3 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.141199111938477
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
2 |4 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
1 |1 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
4 |2 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
0.2 |0.3 |dropout0
0 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.303937911987305
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
3 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0.1 |0.3 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.462953567504883
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
4 |4 |kernel_size0
3 |None |kernel_size1
5 |1 |pool_size0
1 |None |pool_size1
1 |2 |stride_size0
2 |None |stride_size1
0.4 |0.3 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.216514587402344
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 27s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
5 |4 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
3 |2 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.4 |0.3 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.25804328918457
Best val_loss So Far: 17.660797119140625
Total elapsed time: 00h 01m 33s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 8.1773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 9.2838 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6769WARNING: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 4ms/step - loss: 9.0758 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3355WARNING: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 4ms/step - loss: 8.5713 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1641 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9983 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6497 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3217 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0038 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1382WARNING: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 4ms/step - loss: 6.7565 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2446WARNING: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 4ms/step - loss: 6.5831 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0127WARNING: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: 6.4820 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4579 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3107 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1920 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6343WARNING: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 4ms/step - loss: 6.0154 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8725 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0500WARNING: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 4ms/step - loss: 5.8604 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7145 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5657 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6291 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7030 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3796 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4188 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0383WARNING: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: 5.3345 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1336 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2475 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7953WARNING: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 4ms/step - loss: 5.0483 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5406WARNING: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 4ms/step - loss: 5.0632 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9704 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1415 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9393 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0704 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8928 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0206 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7518 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7736 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7134 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6147WARNING: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: 4.7798 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4325WARNING: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 4ms/step - loss: 4.6441 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6631 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3978 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0641WARNING: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: 4.5182 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4033 - lr: 1.0000e-04
Epoch 44/200
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 4ms/step - loss: 4.4785 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3439 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4087WARNING: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: 4.2888 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2968 - lr: 1.0000e-04
Epoch 48/200
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: 4.0899 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1794 - lr: 1.0000e-04
Epoch 50/200
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: 4.1566 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1650 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9991 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1867 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0233 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8553 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8886 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9271 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9981 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9754 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9667 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5425WARNING: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 4ms/step - loss: 3.8794 - lr: 1.0000e-04
Epoch 62/200
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 4ms/step - loss: 3.8566 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9036 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7733 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7289 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9895WARNING: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 4ms/step - loss: 3.8499 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7957 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7119 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6947 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4219 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5037 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5020 - lr: 1.0000e-04
Epoch 73/200
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 4ms/step - loss: 3.6460 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5882 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5202 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6209 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5862 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3901 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5250 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4995 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4448 - lr: 1.0000e-04
Epoch 82/200
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: 3.5324 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5050 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4777 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0548WARNING: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: 3.4224 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4558 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3665 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3164 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3375 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7053WARNING: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 4ms/step - loss: 3.3891 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4090WARNING: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 4ms/step - loss: 3.3703 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2771 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3756 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2423WARNING: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 4ms/step - loss: 3.2609 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1696WARNING: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 4ms/step - loss: 3.3774 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2674 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3759 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4842WARNING: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 4ms/step - loss: 3.2548 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2327 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1126 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6302WARNING: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 4ms/step - loss: 3.1077 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0830 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3254 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0943WARNING: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: 3.0653 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1620 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0137WARNING: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 4ms/step - loss: 3.1575 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2615WARNING: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 4ms/step - loss: 3.1451 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5243WARNING: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 4ms/step - loss: 3.1777 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1013 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1423WARNING: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: 3.0853 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1672 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3891 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0715 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3978WARNING: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: 3.0597 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7407WARNING: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 4ms/step - loss: 3.1077 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9148WARNING: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 4ms/step - loss: 3.1422 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1277 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1657 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0165 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9751 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1542 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1019 - lr: 8.2085e-06
Epoch 126/200
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 4ms/step - loss: 3.1881 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1450 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0936WARNING: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 4ms/step - loss: 3.2382 - lr: 6.0810e-06
Epoch 129/200
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 4ms/step - loss: 3.2239 - lr: 5.5023e-06
Epoch 130/200
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: 3.1492 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5243WARNING: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 4ms/step - loss: 3.1234 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0944 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2499WARNING: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 4ms/step - loss: 3.0125 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0721WARNING: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 4ms/step - loss: 3.1200 - lr: 3.3373e-06
Epoch 135/200
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 4ms/step - loss: 3.0379 - lr: 3.0197e-06
Epoch 136/200
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 4ms/step - loss: 3.0574 - lr: 2.7324e-06
Epoch 137/200
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 4ms/step - loss: 3.1856 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1346 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1520 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1510WARNING: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: 3.1372 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5387WARNING: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 4ms/step - loss: 3.1505 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2125WARNING: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 4ms/step - loss: 3.3227 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9905 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9911 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9731 - lr: 1.1109e-06
Epoch 146/200
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: 3.0110 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7582WARNING: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 4ms/step - loss: 3.1511 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0671 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2004WARNING: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 4ms/step - loss: 3.1599 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8691WARNING: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: 3.1954 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3616 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0816WARNING: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 4ms/step - loss: 3.2177 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2161WARNING: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 4ms/step - loss: 3.1201 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2230 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0744 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0497 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0836WARNING: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 4ms/step - loss: 3.1348 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1564 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0070 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1681 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2334WARNING: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 4ms/step - loss: 3.0967 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2900WARNING: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 4ms/step - loss: 3.0061 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0244 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0631 - lr: 1.3604e-07
Epoch 167/200
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 4ms/step - loss: 3.0366 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1014 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1495 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9174WARNING: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: 3.1048 - lr: 9.1188e-08
Epoch 171/200
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 4ms/step - loss: 3.1788 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0686 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0853 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0844 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0371 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0605 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1467 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2728 - lr: 3.7074e-08
Epoch 180/200
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 4ms/step - loss: 3.1766 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1609 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0838 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3283 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0845 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0286 - lr: 2.0347e-08
Epoch 186/200
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 4ms/step - loss: 3.1804 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5664WARNING: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 4ms/step - loss: 3.2933 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6480WARNING: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 4ms/step - loss: 3.0555 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0840 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1974 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0847 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8692WARNING: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 4ms/step - loss: 3.2437 - lr: 9.1424e-09
Epoch 194/200
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 4ms/step - loss: 3.0150 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2291WARNING: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 4ms/step - loss: 2.9620 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9990 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1585 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1514 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1533 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
5 |5 |kernel_size0
2 |2 |pool_size0
1 |1 |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
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 03s]
val_loss: 17.848011016845703
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
1 |5 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |1 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.74260139465332
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
4 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
5 |2 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |1 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
0.3 |0.3 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.751249313354492
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
1 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |1 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.1 |0.3 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.837303161621094
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
4 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
1 |2 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.853973388671875
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 24s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
2 |5 |kernel_size0
3 |2 |pool_size0
5 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 02s]
val_loss: 21.224977493286133
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
5 |5 |kernel_size0
5 |None |kernel_size1
4 |2 |pool_size0
1 |None |pool_size1
1 |1 |stride_size0
1 |None |stride_size1
0.1 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 20.071046829223633
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
3 |5 |kernel_size0
5 |2 |pool_size0
4 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.79088020324707
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
1 |5 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
1 |1 |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 9 Complete [00h 00m 05s]
val_loss: 19.750577926635742
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
32 |None |filter_unit1
1 |5 |kernel_size0
4 |None |kernel_size1
4 |2 |pool_size0
2 |None |pool_size1
4 |1 |stride_size0
1 |None |stride_size1
0.1 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 21.753765106201172
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
5 |5 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
3 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
3 |1 |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 11 Complete [00h 00m 06s]
val_loss: 19.962848663330078
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
1 |5 |kernel_size0
4 |2 |pool_size0
1 |1 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.719560623168945
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 49s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
5 |5 |kernel_size0
1 |None |kernel_size1
3 |2 |pool_size0
1 |None |pool_size1
2 |1 |stride_size0
5 |None |stride_size1
0.4 |0.3 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 18.627458572387695
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 52s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
4 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |1 |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 14 Complete [00h 00m 05s]
val_loss: 20.087751388549805
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
2 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |2 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |1 |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 15 Complete [00h 00m 04s]
val_loss: 19.548017501831055
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 01s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |2 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
4 |1 |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 16 Complete [00h 00m 05s]
val_loss: 20.064306259155273
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 06s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
1 |5 |kernel_size0
4 |2 |pool_size0
3 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 18.96619415283203
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 08s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |2 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |1 |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 18 Complete [00h 00m 04s]
val_loss: 19.818431854248047
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 12s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
2 |5 |kernel_size0
4 |2 |pool_size0
1 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.297147750854492
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 15s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
2 |5 |kernel_size0
1 |2 |pool_size0
4 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 02s]
val_loss: 22.06802749633789
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 01m 17s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 19.2685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 19.6021 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 18.5577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 19.1616 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 18.9754WARNING: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 3ms/step - loss: 18.7100 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 18.3330 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 17.7951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.9293 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 17.9497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.4705 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 18.6804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.1436 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 17.6252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.6574 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 16.4114 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 13.5974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.9048 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 15.7012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.4272 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.1954 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 16.3582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.7417 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.2857 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.9756 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6646WARNING: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 3ms/step - loss: 13.4537 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.2054 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.8418 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5395WARNING: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 3ms/step - loss: 12.3929 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8979WARNING: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 3ms/step - loss: 12.0344 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9853WARNING: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 3ms/step - loss: 11.7287 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.2576 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.9179 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.5408 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.1585 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 9.8044 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1120WARNING: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 3ms/step - loss: 9.4355 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6254WARNING: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: 9.0684 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.7908 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.4721 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.3181 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8997 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.7111 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2508WARNING: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: 7.4710 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3031 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8142WARNING: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 3ms/step - loss: 7.2435 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0124 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.8049 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5805WARNING: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: 6.7442 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.5249 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4899 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8577WARNING: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 3ms/step - loss: 6.4223 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3990 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3093 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.0927 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.1883 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0508WARNING: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 3ms/step - loss: 6.0809 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0611WARNING: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 3ms/step - loss: 6.1920 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.0155 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9381 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3214WARNING: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 3ms/step - loss: 5.8676 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8435 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8065 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9540 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8576 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1215WARNING: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 3ms/step - loss: 5.7088 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8894 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6519WARNING: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 3ms/step - loss: 5.8371 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6717 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6863 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0823WARNING: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 3ms/step - loss: 5.7369 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0628WARNING: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 3ms/step - loss: 5.6547 - lr: 1.0000e-04
Epoch 63/200
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 3ms/step - loss: 5.7107 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.7530 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4993 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4225 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.5260 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5953WARNING: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: 5.5741 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6295 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0367WARNING: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 3ms/step - loss: 5.7051 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.5555 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3719 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3056 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3095 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4011 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2433WARNING: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 3ms/step - loss: 5.4287 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2805 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3257 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3144 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2668 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2006 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1487 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2384 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2722 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0972 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2595 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4935WARNING: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 3ms/step - loss: 5.0995 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1110 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0813 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0754 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0513 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9984 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3252WARNING: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 3ms/step - loss: 4.9444 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9521 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0228 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1257WARNING: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 3ms/step - loss: 4.9791 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9962 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9171 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8657 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8400 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8972 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8684 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0641WARNING: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 3ms/step - loss: 4.7312 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7566 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7441 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3852WARNING: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 3ms/step - loss: 4.7853 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6344WARNING: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 3ms/step - loss: 4.6681 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9820WARNING: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: 4.5829 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7492 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7201 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7613 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6740 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6252 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7115 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6803 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4258WARNING: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 3ms/step - loss: 4.7611 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6114 - lr: 1.8268e-05
Epoch 118/200
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 3ms/step - loss: 4.7859 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6340 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6611 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5840 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6341WARNING: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 3ms/step - loss: 4.7040 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6507 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7621 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1294WARNING: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: 4.6891 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7159 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6069 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5238 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5813 - lr: 5.5023e-06
Epoch 130/200
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: 4.5336 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5984 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7083WARNING: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 3ms/step - loss: 4.5185 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9712WARNING: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 3ms/step - loss: 4.7012 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6839 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6315 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7217 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7386 - lr: 2.4723e-06
Epoch 138/200
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: 4.6882 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7869 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7152 - lr: 1.8316e-06
Epoch 141/200
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 3ms/step - loss: 4.5598 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5697 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6874 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6877WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7248 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5776 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6452 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3008WARNING: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 3ms/step - loss: 4.6232 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6553 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9604WARNING: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 3ms/step - loss: 4.5583 - lr: 7.4466e-07
Epoch 150/200
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 4ms/step - loss: 4.6717 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6409 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6389 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7851 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8314WARNING: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 3ms/step - loss: 4.5621 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6169 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5437 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1814WARNING: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 3ms/step - loss: 4.6136 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5787 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6730 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7075WARNING: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 3ms/step - loss: 4.5836 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8150WARNING: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 3ms/step - loss: 4.6697 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0971WARNING: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 3ms/step - loss: 4.5380 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4925 - lr: 1.8363e-07
Epoch 164/200
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 3ms/step - loss: 4.6887 - lr: 1.6616e-07
Epoch 165/200
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: 4.6443 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6129 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5769 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6496 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3763WARNING: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 3ms/step - loss: 4.6158 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6469 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0513WARNING: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 3ms/step - loss: 4.6613 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5681 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6322WARNING: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 3ms/step - loss: 4.5679 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7262 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9508WARNING: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 3ms/step - loss: 4.6833 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2738WARNING: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: 4.6435 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3012WARNING: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 3ms/step - loss: 4.6689 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8848WARNING: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 3ms/step - loss: 4.5136 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5725 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0922WARNING: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 3ms/step - loss: 4.6872 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4182WARNING: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 3ms/step - loss: 4.6000 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6257 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7164 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6825 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4599WARNING: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 3ms/step - loss: 4.5869 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7893 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5630WARNING: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 3ms/step - loss: 4.5942 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5540 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5762 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4584WARNING: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 3ms/step - loss: 4.6650 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5381 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5366WARNING: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: 4.5455 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9466WARNING: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 3ms/step - loss: 4.5967 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8823WARNING: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 3ms/step - loss: 4.6525 - lr: 8.2724e-09
Epoch 195/200
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 3ms/step - loss: 4.6854 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7231 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6516 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5038 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9677WARNING: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 3ms/step - loss: 4.6261 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5550 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
[494 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |128 |filter_unit0
256 |256 |filter_unit1
32 |32 |filter_unit2
256 |256 |filter_unit3
3 |3 |kernel_size0
2 |2 |kernel_size1
5 |5 |kernel_size2
1 |1 |kernel_size3
3 |3 |pool_size0
4 |4 |pool_size1
3 |3 |pool_size2
1 |1 |pool_size3
5 |5 |stride_size0
4 |4 |stride_size1
1 |1 |stride_size2
1 |1 |stride_size3
0.3 |0.3 |dropout0
0 |0 |dropout1
0.2 |0.2 |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 05s]
val_loss: 19.898000717163086
Best val_loss So Far: 19.898000717163086
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |128 |filter_unit0
64 |256 |filter_unit1
64 |32 |filter_unit2
5 |3 |kernel_size0
1 |2 |kernel_size1
2 |5 |kernel_size2
5 |3 |pool_size0
5 |4 |pool_size1
5 |3 |pool_size2
5 |5 |stride_size0
3 |4 |stride_size1
4 |1 |stride_size2
0.4 |0.3 |dropout0
0.1 |0 |dropout1
0 |0.2 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 20.08858299255371
Best val_loss So Far: 19.898000717163086
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
64 |256 |filter_unit1
256 |32 |filter_unit2
3 |3 |kernel_size0
4 |2 |kernel_size1
2 |5 |kernel_size2
2 |3 |pool_size0
1 |4 |pool_size1
5 |3 |pool_size2
4 |5 |stride_size0
4 |4 |stride_size1
2 |1 |stride_size2
0.3 |0.3 |dropout0
0.3 |0 |dropout1
0.2 |0.2 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.741439819335938
Best val_loss So Far: 19.741439819335938
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |128 |filter_unit0
64 |64 |filter_unit1
64 |256 |filter_unit2
2 |3 |kernel_size0
3 |4 |kernel_size1
3 |2 |kernel_size2
3 |2 |pool_size0
2 |1 |pool_size1
5 |5 |pool_size2
5 |4 |stride_size0
1 |4 |stride_size1
3 |2 |stride_size2
0.1 |0.3 |dropout0
0 |0.3 |dropout1
0.2 |0.2 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 20.11082649230957
Best val_loss So Far: 19.741439819335938
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
5 |3 |kernel_size0
4 |4 |kernel_size1
2 |2 |pool_size0
5 |1 |pool_size1
5 |4 |stride_size0
1 |4 |stride_size1
0 |0.3 |dropout0
0.2 |0.3 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.868301391601562
Best val_loss So Far: 19.741439819335938
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
64 |256 |filter_unit2
2 |3 |kernel_size0
2 |4 |kernel_size1
3 |2 |kernel_size2
2 |2 |pool_size0
2 |1 |pool_size1
5 |5 |pool_size2
1 |4 |stride_size0
4 |4 |stride_size1
2 |2 |stride_size2
0.3 |0.3 |dropout0
0.2 |0.3 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 20.035598754882812
Best val_loss So Far: 19.741439819335938
Total elapsed time: 00h 00m 24s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
128 |256 |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
5 |4 |kernel_size1
1 |2 |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
5 |2 |pool_size0
5 |1 |pool_size1
4 |5 |pool_size2
1 |None |pool_size3
5 |None |pool_size4
3 |4 |stride_size0
1 |4 |stride_size1
4 |2 |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.3 |dropout0
0.1 |0.3 |dropout1
0 |0.2 |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.67021942138672
Best val_loss So Far: 19.67021942138672
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |32 |filter_unit0
64 |128 |filter_unit1
128 |128 |filter_unit2
5 |5 |kernel_size0
4 |5 |kernel_size1
2 |1 |kernel_size2
1 |5 |pool_size0
3 |5 |pool_size1
5 |4 |pool_size2
2 |3 |stride_size0
3 |1 |stride_size1
5 |4 |stride_size2
0.2 |0 |dropout0
0.1 |0.1 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.3901424407959
Best val_loss So Far: 19.3901424407959
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
2 |5 |kernel_size0
5 |1 |pool_size0
4 |2 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.887426376342773
Best val_loss So Far: 19.3901424407959
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
128 |64 |filter_unit1
2 |5 |kernel_size0
4 |4 |kernel_size1
3 |1 |pool_size0
5 |3 |pool_size1
3 |2 |stride_size0
1 |3 |stride_size1
0.3 |0.2 |dropout0
0.4 |0.1 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.730165481567383
Best val_loss So Far: 19.3901424407959
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
256 |64 |filter_unit1
32 |128 |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |5 |kernel_size0
2 |4 |kernel_size1
4 |2 |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |1 |pool_size0
1 |3 |pool_size1
4 |5 |pool_size2
2 |None |pool_size3
2 |None |pool_size4
1 |2 |stride_size0
1 |3 |stride_size1
3 |5 |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.2 |dropout0
0.1 |0.1 |dropout1
0.2 |0.1 |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 07s]
val_loss: 19.782516479492188
Best val_loss So Far: 19.3901424407959
Total elapsed time: 00h 00m 48s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
5 |5 |kernel_size0
3 |1 |pool_size0
4 |2 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.918285369873047
Best val_loss So Far: 19.3901424407959
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
1 |5 |kernel_size0
2 |1 |pool_size0
5 |2 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 18.288026809692383
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 00m 53s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
5 |1 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |5 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 20.17752456665039
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 00m 58s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
3 |1 |kernel_size0
4 |None |kernel_size1
3 |2 |pool_size0
3 |None |pool_size1
5 |5 |stride_size0
1 |None |stride_size1
0.4 |0.3 |dropout0
0 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 20.927051544189453
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 01s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |1 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |2 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
2 |5 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.4 |0.3 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.801959991455078
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 07s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
4 |1 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |2 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |5 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.4 |0.3 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.68846893310547
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 12s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
3 |1 |kernel_size0
1 |2 |pool_size0
1 |5 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.81322479248047
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 15s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |256 |filter_unit0
1 |1 |kernel_size0
5 |2 |pool_size0
4 |5 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 20.908916473388672
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 18s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |1 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
3 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
1 |None |pool_size3
5 |None |pool_size4
3 |5 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
2 |None |stride_size4
0.4 |0.3 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.865257263183594
Best val_loss So Far: 18.288026809692383
Total elapsed time: 00h 01m 23s
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 1, 'pool_size0': 2, 'stride_size0': 5, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 21.1170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 16ms/step - loss: 21.0610 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 21.1892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 20.3713 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 20.9039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 19.6252 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.1179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 18.8874 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 17.9459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 18.2347 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 18.4869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 17.5319 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 18.2706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 16.7950 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 16.7288WARNING: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 9ms/step - loss: 16.0270 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7430WARNING: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 9ms/step - loss: 15.3656 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 14.8244WARNING: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 9ms/step - loss: 14.6575 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 13.9451 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 13.2287 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 12.5369 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.8679 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.2634 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.6897 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.1920 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5033WARNING: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 9ms/step - loss: 9.6455 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.2050 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.8054 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9372WARNING: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 9ms/step - loss: 8.4383 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.0722 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0767WARNING: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 9ms/step - loss: 7.7196 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.3061 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.0064 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.6905 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.4141 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.2755 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5302WARNING: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 9ms/step - loss: 6.0799 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3015WARNING: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 9ms/step - loss: 5.8974 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.8062 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.6653 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.5932 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.5408 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3318WARNING: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 9ms/step - loss: 5.3743 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4824WARNING: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 9ms/step - loss: 5.2295 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.2096 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3677WARNING: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 9ms/step - loss: 5.1835 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9730 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1927WARNING: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 9ms/step - loss: 5.0157 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7906 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7467 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7464 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.6763 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5299 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5345 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5295 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3829 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0755WARNING: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 9ms/step - loss: 4.2643 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2728 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1525 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5542WARNING: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 9ms/step - loss: 4.1164 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8070WARNING: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 9ms/step - loss: 4.0559 - lr: 1.0000e-04
Epoch 54/200
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 9ms/step - loss: 4.1233 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9764 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9596 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9176 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8999 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9170 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8853 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4997WARNING: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 9ms/step - loss: 3.7298 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8044 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7588 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7423 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6805 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5892 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6383 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5618 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5780 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2823WARNING: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 9ms/step - loss: 3.6200 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4479 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3917 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5301 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3547 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2900 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4239 - lr: 1.0000e-04
Epoch 77/200
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 9ms/step - loss: 3.3313 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2603 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3779 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1636 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1292 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1797 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1661 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0787 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1071 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2108WARNING: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 9ms/step - loss: 3.0582 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0105 - lr: 1.0000e-04
Epoch 88/200
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 9ms/step - loss: 2.9672 - lr: 1.0000e-04
Epoch 89/200
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 9ms/step - loss: 2.9053 - lr: 1.0000e-04
Epoch 90/200
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 9ms/step - loss: 2.9479 - lr: 1.0000e-04
Epoch 91/200
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 9ms/step - loss: 2.8974 - lr: 1.0000e-04
Epoch 92/200
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 9ms/step - loss: 2.9404 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8980 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7690 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4112WARNING: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 9ms/step - loss: 2.7861 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8752 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7078 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8184WARNING: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 9ms/step - loss: 2.7328 - lr: 1.0000e-04
Epoch 99/200
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 9ms/step - loss: 2.8712 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7003 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6260 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6401 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8833WARNING: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 9ms/step - loss: 2.6670 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8194WARNING: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: 2.6831 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6397 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5519 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5163 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6770WARNING: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 9ms/step - loss: 2.5315 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5522 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5422 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5780 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1646WARNING: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: 2.5899 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4955 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5520 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9632WARNING: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 9ms/step - loss: 2.5636 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5243 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4831 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5588 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5828 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5308 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6029 - lr: 1.2246e-05
Epoch 122/200
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 9ms/step - loss: 2.4901 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2354WARNING: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 9ms/step - loss: 2.3901 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4422WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5234 - lr: 9.0718e-06
Epoch 125/200
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 9ms/step - loss: 2.5972 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4359WARNING: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 9ms/step - loss: 2.5608 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5736 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2752WARNING: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 9ms/step - loss: 2.4679 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5092 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4969 - lr: 4.9787e-06
Epoch 131/200
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: 2.4668 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5382 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6687 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3837 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4309 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5099 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4677 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5105 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5778 - lr: 1.8316e-06
Epoch 141/200
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 9ms/step - loss: 2.4633 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2269WARNING: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 9ms/step - loss: 2.4693 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4821 - lr: 1.3569e-06
Epoch 144/200
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 9ms/step - loss: 2.4587 - lr: 1.2277e-06
Epoch 145/200
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: 2.4716 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5256 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4420 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6467 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5545 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6324 - lr: 6.7379e-07
Epoch 151/200
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 9ms/step - loss: 2.4675 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4429WARNING: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 9ms/step - loss: 2.5818 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5610 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4639 - lr: 4.5166e-07
Epoch 155/200
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 9ms/step - loss: 2.6671 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4752 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4934 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5064 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5397 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5309 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8378WARNING: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 9ms/step - loss: 2.5044 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4824 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5046 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4508 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5464 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4922 - lr: 1.3604e-07
Epoch 167/200
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 9ms/step - loss: 2.4245 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5903WARNING: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 9ms/step - loss: 2.5335 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4589 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2088WARNING: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 9ms/step - loss: 2.4948 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4522 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5679 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4485 - lr: 6.7554e-08
Epoch 174/200
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 9ms/step - loss: 2.4121 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3990WARNING: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 9ms/step - loss: 2.4743 - lr: 5.5308e-08
Epoch 176/200
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 9ms/step - loss: 2.5076 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5226 - lr: 4.5283e-08
Epoch 178/200
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 9ms/step - loss: 2.4733 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4789 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5188 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4379 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5413WARNING: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 9ms/step - loss: 2.4668 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6300 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4791 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4961 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5188 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5060 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4344 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6185WARNING: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 9ms/step - loss: 2.4619 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0274WARNING: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 9ms/step - loss: 2.4778 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3893 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8986WARNING: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 9ms/step - loss: 2.6250 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4612 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4726 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4559 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4596 - lr: 6.7728e-09
Epoch 197/200
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 9ms/step - loss: 2.5384 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5067 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4665 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4522 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 1, 'pool_size0': 2, 'stride_size0': 5, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
20/39 [==============>...............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
[495 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
4 |4 |kernel_size0
5 |5 |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
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 16.010623931884766
Best val_loss So Far: 16.010623931884766
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
1 |4 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |5 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.2 |0 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 16.896631240844727
Best val_loss So Far: 16.010623931884766
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
3 |4 |kernel_size0
5 |None |kernel_size1
5 |5 |pool_size0
1 |None |pool_size1
2 |4 |stride_size0
4 |None |stride_size1
0.2 |0 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 17.100723266601562
Best val_loss So Far: 16.010623931884766
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
5 |4 |kernel_size0
1 |5 |pool_size0
2 |4 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 17.546720504760742
Best val_loss So Far: 16.010623931884766
Total elapsed time: 00h 00m 15s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
3 |4 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |5 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
2 |4 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.3 |0 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 15.968766212463379
Best val_loss So Far: 15.968766212463379
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |128 |filter_unit0
128 |32 |filter_unit1
64 |256 |filter_unit2
2 |3 |kernel_size0
2 |4 |kernel_size1
4 |1 |kernel_size2
3 |4 |pool_size0
3 |2 |pool_size1
2 |5 |pool_size2
1 |2 |stride_size0
3 |4 |stride_size1
4 |4 |stride_size2
0 |0.3 |dropout0
0.1 |0.1 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 17.48086929321289
Best val_loss So Far: 15.968766212463379
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |128 |filter_unit0
128 |32 |filter_unit1
4 |3 |kernel_size0
5 |4 |kernel_size1
1 |4 |pool_size0
5 |2 |pool_size1
1 |2 |stride_size0
2 |4 |stride_size1
0 |0.3 |dropout0
0 |0.1 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 17.627782821655273
Best val_loss So Far: 15.968766212463379
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |128 |filter_unit0
4 |3 |kernel_size0
3 |4 |pool_size0
1 |2 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 16.64852523803711
Best val_loss So Far: 15.968766212463379
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
4 |3 |kernel_size0
1 |4 |pool_size0
2 |2 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 15.121005058288574
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 34s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |32 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
3 |2 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.1 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 16.837331771850586
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
2 |4 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
3 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.3 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 16.277589797973633
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 45s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
5 |4 |kernel_size0
5 |None |kernel_size1
2 |1 |pool_size0
2 |None |pool_size1
5 |2 |stride_size0
2 |None |stride_size1
0.1 |0.4 |dropout0
0 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 16.875865936279297
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 48s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
2 |4 |kernel_size0
1 |1 |pool_size0
1 |2 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 16.243867874145508
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 51s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
1 |4 |kernel_size0
3 |1 |pool_size0
4 |2 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 16.491928100585938
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 53s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
3 |4 |kernel_size0
2 |1 |pool_size0
2 |2 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 16.977258682250977
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 00m 56s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |32 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
1 |4 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
4 |None |pool_size4
3 |2 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.4 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 16.617136001586914
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 01m 03s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
1 |4 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |1 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 07s]
val_loss: 16.149948120117188
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 01m 10s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
32 |None |filter_unit1
2 |4 |kernel_size0
2 |None |kernel_size1
2 |1 |pool_size0
3 |None |pool_size1
5 |2 |stride_size0
4 |None |stride_size1
0 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 15.944897651672363
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 01m 13s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
5 |4 |kernel_size0
2 |1 |pool_size0
2 |2 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 15.854403495788574
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 01m 16s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
1 |4 |kernel_size0
5 |None |kernel_size1
1 |1 |pool_size0
3 |None |pool_size1
4 |2 |stride_size0
5 |None |stride_size1
0.4 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 16.268274307250977
Best val_loss So Far: 15.121005058288574
Total elapsed time: 00h 01m 19s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 8.2783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 4ms/step - loss: 7.7924 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8861 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.6961 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.6733 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.2549 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.2091 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.1977 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6510WARNING: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 3ms/step - loss: 6.6825 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1744WARNING: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 3ms/step - loss: 6.6888 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.7254 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3549 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.1148 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6937WARNING: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 3ms/step - loss: 6.1713 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4520WARNING: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 3ms/step - loss: 6.0022 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.0161 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6552WARNING: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 3ms/step - loss: 5.7091 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0164WARNING: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 3ms/step - loss: 5.6476 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6600 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4385 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2687 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4621 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2470WARNING: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 3ms/step - loss: 4.9806 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8914 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0669 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9103 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1953WARNING: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: 4.9060 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8040 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0939WARNING: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 3ms/step - loss: 4.8046 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9427 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2221WARNING: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 3ms/step - loss: 4.4812 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6678 - lr: 1.0000e-04
Epoch 32/200
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: 4.5174 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4772 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5890 - lr: 1.0000e-04
Epoch 35/200
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 3ms/step - loss: 4.3752 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3307 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2610 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2935 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2670 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1183 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0709 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0468 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1082 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9100WARNING: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: 3.9343 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0578 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0349 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9061 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9222 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0148 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8315 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7710 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8578 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0372WARNING: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 3ms/step - loss: 3.7921 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7491 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8872WARNING: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 3ms/step - loss: 3.7537 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6703 - lr: 1.0000e-04
Epoch 57/200
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 3ms/step - loss: 3.8295 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8325 - lr: 1.0000e-04
Epoch 59/200
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 3ms/step - loss: 3.6241 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6769 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7424 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6699WARNING: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 3ms/step - loss: 3.5462 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5271 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5455 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3461 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5773 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4852 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5159 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3475 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3510 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6304 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4201 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4211 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2789WARNING: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 3ms/step - loss: 3.4789 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4097 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3978 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5216WARNING: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 3ms/step - loss: 3.2712 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2520 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2530WARNING: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 3ms/step - loss: 3.1694 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3755 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3968 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3015 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6969WARNING: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 3ms/step - loss: 3.2596 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2807 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2110WARNING: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 3ms/step - loss: 3.3340 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2457 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9816 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2365 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2065 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1730WARNING: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 3ms/step - loss: 3.2416 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0714 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0617 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1273 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9636WARNING: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 3ms/step - loss: 3.1632 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8432WARNING: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 3ms/step - loss: 3.0671 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1873WARNING: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 3ms/step - loss: 3.1824 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9775WARNING: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 3ms/step - loss: 3.1658 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9737 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1409 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0661 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9168 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0644 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0185 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6634WARNING: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 3ms/step - loss: 3.1399 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0125 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6819WARNING: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 3ms/step - loss: 3.0815 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0630 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0154WARNING: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 3ms/step - loss: 2.9321 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9689 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8775WARNING: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 3ms/step - loss: 2.8812 - lr: 3.6788e-05
Epoch 111/200
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 3ms/step - loss: 2.8769 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9113 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5857WARNING: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 3ms/step - loss: 2.8587 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9728 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9178 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2285WARNING: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: 3.0048 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0989 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9435 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0464 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6931WARNING: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: 2.9155 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9923 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8560 - lr: 1.1080e-05
Epoch 123/200
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 3ms/step - loss: 2.7676 - lr: 1.0026e-05
Epoch 124/200
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 3ms/step - loss: 3.1119 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8226 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.7815 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8995 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4466WARNING: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: 2.8749 - lr: 6.0810e-06
Epoch 129/200
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 3ms/step - loss: 2.9856 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3355WARNING: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 3ms/step - loss: 3.0395 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8919 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9219 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8001WARNING: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 3ms/step - loss: 2.9326 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0786 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9589 - lr: 3.0197e-06
Epoch 136/200
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 3ms/step - loss: 3.0079 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9879 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9791 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1914WARNING: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 3ms/step - loss: 3.0299 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0381 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0349 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9988 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1026 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9621 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8533 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8864 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5681WARNING: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 3ms/step - loss: 3.0681 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9841 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0426WARNING: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 3ms/step - loss: 3.0416 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9608 - lr: 6.7379e-07
Epoch 151/200
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 3ms/step - loss: 2.9433 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9554 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8796 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9470 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1022 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9559 - lr: 3.6979e-07
Epoch 157/200
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 3ms/step - loss: 3.0349 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9110 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1123 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8846 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8430 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2436 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0188 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4493WARNING: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 3ms/step - loss: 2.8435 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8820 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9566 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0000 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9940 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1098 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0222 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9252 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8378 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9817 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9854 - lr: 6.1125e-08
Epoch 175/200
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 3ms/step - loss: 2.9660 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8537 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8465WARNING: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 3ms/step - loss: 2.9483 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8708 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2121WARNING: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 3ms/step - loss: 2.9670 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7654WARNING: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 3ms/step - loss: 3.0156 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8701 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9891 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9834 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9879 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9544WARNING: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 3ms/step - loss: 2.9266 - lr: 2.0347e-08
Epoch 186/200
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 3ms/step - loss: 2.9682 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0517WARNING: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 3ms/step - loss: 2.9036 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5825WARNING: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: 2.8792 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5568WARNING: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 3ms/step - loss: 2.9477 - lr: 1.3639e-08
Epoch 190/200
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 3ms/step - loss: 2.8158 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0081 - lr: 1.1167e-08
Epoch 192/200
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 3ms/step - loss: 2.8457 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2563WARNING: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 3ms/step - loss: 2.9141 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9703 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9811 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0561 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9147 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8844WARNING: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: 3.0873 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9413 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9276 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
[496 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
2 |2 |kernel_size0
2 |2 |pool_size0
1 |1 |stride_size0
0.1 |0.1 |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: 19.822948455810547
Best val_loss So Far: 19.822948455810547
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |2 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
1 |1 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
0.3 |0.1 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.147687911987305
Best val_loss So Far: 19.147687911987305
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
32 |128 |filter_unit2
64 |None |filter_unit3
4 |1 |kernel_size0
5 |4 |kernel_size1
1 |4 |kernel_size2
1 |None |kernel_size3
1 |2 |pool_size0
2 |2 |pool_size1
4 |3 |pool_size2
3 |None |pool_size3
2 |1 |stride_size0
3 |5 |stride_size1
3 |3 |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0.3 |0.4 |dropout1
0.4 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.439979553222656
Best val_loss So Far: 19.147687911987305
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
64 |64 |filter_unit1
64 |128 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |1 |kernel_size0
4 |4 |kernel_size1
2 |4 |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
1 |2 |pool_size0
2 |2 |pool_size1
5 |3 |pool_size2
2 |None |pool_size3
3 |None |pool_size4
4 |1 |stride_size0
2 |5 |stride_size1
3 |3 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.4 |dropout1
0.4 |0.3 |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.438663482666016
Best val_loss So Far: 19.147687911987305
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
1 |1 |kernel_size0
2 |2 |pool_size0
3 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 18.679054260253906
Best val_loss So Far: 18.679054260253906
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |128 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
2 |1 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
5 |2 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
5 |3 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
0.3 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.906291961669922
Best val_loss So Far: 18.679054260253906
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
3 |1 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
1 |2 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
5 |3 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.2 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.09943962097168
Best val_loss So Far: 18.679054260253906
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
1 |1 |kernel_size0
2 |2 |pool_size0
4 |3 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 02s]
val_loss: 18.642005920410156
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
5 |1 |kernel_size0
4 |None |kernel_size1
2 |2 |pool_size0
4 |None |pool_size1
4 |4 |stride_size0
3 |None |stride_size1
0.1 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.355791091918945
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
3 |1 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
5 |2 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
5 |4 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
0.4 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.16735076904297
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
32 |None |filter_unit1
2 |1 |kernel_size0
5 |None |kernel_size1
2 |2 |pool_size0
1 |None |pool_size1
3 |4 |stride_size0
5 |None |stride_size1
0.2 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.149593353271484
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
2 |1 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |2 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
5 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.64885139465332
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
3 |1 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
4 |2 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
3 |4 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 19.335105895996094
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
3 |1 |kernel_size0
5 |None |kernel_size1
3 |2 |pool_size0
5 |None |pool_size1
1 |4 |stride_size0
3 |None |stride_size1
0.1 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 21.102787017822266
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 01m 02s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
3 |2 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
3 |4 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
0.1 |0.4 |dropout0
0.2 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.261558532714844
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
4 |1 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
3 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.1 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.644372940063477
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
5 |2 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |4 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
0.2 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.03668785095215
Best val_loss So Far: 18.642005920410156
Total elapsed time: 00h 01m 16s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
4 |1 |kernel_size0
5 |None |kernel_size1
4 |2 |pool_size0
4 |None |pool_size1
2 |4 |stride_size0
4 |None |stride_size1
0.2 |0.4 |dropout0
0 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.286407470703125
Best val_loss So Far: 18.286407470703125
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |32 |filter_unit0
64 |64 |filter_unit1
128 |None |filter_unit2
1 |4 |kernel_size0
4 |5 |kernel_size1
3 |None |kernel_size2
3 |4 |pool_size0
1 |4 |pool_size1
1 |None |pool_size2
4 |2 |stride_size0
2 |4 |stride_size1
2 |None |stride_size2
0 |0.2 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.228551864624023
Best val_loss So Far: 18.286407470703125
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |32 |filter_unit0
256 |64 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
5 |4 |kernel_size0
1 |5 |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
5 |4 |pool_size0
1 |4 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
4 |2 |stride_size0
5 |4 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.1 |0.2 |dropout0
0.2 |0 |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.122726440429688
Best val_loss So Far: 18.286407470703125
Total elapsed time: 00h 01m 29s
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 64, 'kernel_size0': 4, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 2, 'stride_size1': 4, 'dropout0': 0.2, 'dropout1': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 23.2890
4/4 [==============================] - ETA: 0s - loss: 21.6087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 21.6087 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 21.6478WARNING: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 4ms/step - loss: 21.0346 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 20.6982WARNING: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 4ms/step - loss: 20.3749 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.5557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.7203 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 20.3014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.7428 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 17.7539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.3202 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 18.5844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.6741 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1705WARNING: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 4ms/step - loss: 16.7824 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9887WARNING: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 4ms/step - loss: 15.9355 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.3452 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 13.5359WARNING: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 4ms/step - loss: 14.7881 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.9110 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.4868 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6019 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1166WARNING: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 4ms/step - loss: 11.8171 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3095WARNING: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 4ms/step - loss: 11.1301 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7239WARNING: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 4ms/step - loss: 10.5233 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2873WARNING: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: 10.0004 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4208WARNING: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: 9.3533 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0975 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4848 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6289WARNING: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 4ms/step - loss: 8.2429 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8355 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5300 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2907 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1646 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6690 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9483 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3321WARNING: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 4ms/step - loss: 6.5047 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0673WARNING: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 4ms/step - loss: 6.5666 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4798 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5312WARNING: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: 6.2555 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9406 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8580 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0732 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5822 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9045 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6303 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6121WARNING: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: 5.0948 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3242 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0026 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1533 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2628 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6503WARNING: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 4ms/step - loss: 5.0399 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0544WARNING: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 4ms/step - loss: 4.8775 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7279 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5393WARNING: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 4ms/step - loss: 4.7968 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0298WARNING: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 4ms/step - loss: 4.8367 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6957 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7661 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6151 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5788 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9606WARNING: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 4ms/step - loss: 4.5580 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5002WARNING: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 4ms/step - loss: 4.6911 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3762 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4595 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5056WARNING: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 [==============================] - 0s 4ms/step - loss: 4.3432 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4169 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5066 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9800 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3063 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2162 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9546 - lr: 1.0000e-04
Epoch 64/200
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: 4.1783 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1651 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0394 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7605 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1207WARNING: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 4ms/step - loss: 4.0570 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8042 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0467 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9301 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4596WARNING: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 4ms/step - loss: 3.9503 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2752WARNING: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 4ms/step - loss: 3.9224 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7146 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6998WARNING: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 4ms/step - loss: 3.5406 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6916 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7141 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9043 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5345 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6328 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2700WARNING: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 4ms/step - loss: 3.5847 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1599WARNING: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 4ms/step - loss: 3.3062 - lr: 1.0000e-04
Epoch 83/200
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 4ms/step - loss: 3.3445 - lr: 1.0000e-04
Epoch 84/200
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 4ms/step - loss: 3.2632 - lr: 1.0000e-04
Epoch 85/200
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: 3.5183 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7709WARNING: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 4ms/step - loss: 3.4400 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3884WARNING: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 4ms/step - loss: 3.3805 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4834WARNING: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 4ms/step - loss: 3.4717 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1917 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3141 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3360 - lr: 1.0000e-04
Epoch 92/200
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 4ms/step - loss: 3.3273 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2731 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1848 - lr: 1.0000e-04
Epoch 95/200
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: 3.1317 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9448WARNING: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 4ms/step - loss: 3.1868 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9918 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1323 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5415WARNING: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 4ms/step - loss: 2.8714 - lr: 1.0000e-04
Epoch 101/200
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: 2.9963 - lr: 9.0484e-05
Epoch 102/200
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: 3.0727 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9280 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9186 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0123 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9799 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4364WARNING: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 4ms/step - loss: 3.2329 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9225 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8312 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2036WARNING: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 4ms/step - loss: 3.1861 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1291 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1265WARNING: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: 3.0818 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9578 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1175 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3532WARNING: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: 3.0857 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5942WARNING: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 4ms/step - loss: 2.8950 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1732 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0428WARNING: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 4ms/step - loss: 2.7571 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9469 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6873 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0343 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9908 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0803 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2634 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8599 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2191 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2181 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3836WARNING: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 4ms/step - loss: 2.9553 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0222 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7129WARNING: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 4ms/step - loss: 3.0723 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2267 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8425 - lr: 3.6883e-06
Epoch 134/200
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 4ms/step - loss: 3.0227 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8705 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8311 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0692 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0454 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0357 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0415WARNING: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 4ms/step - loss: 3.0451 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5187WARNING: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: 3.0111 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9126WARNING: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 4ms/step - loss: 3.2764 - lr: 1.4996e-06
Epoch 143/200
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 4ms/step - loss: 3.0379 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9858 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8330 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1709WARNING: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 4ms/step - loss: 2.9886 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0383 - lr: 9.0953e-07
Epoch 148/200
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 4ms/step - loss: 2.9822 - lr: 8.2297e-07
Epoch 149/200
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 4ms/step - loss: 3.1020 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9095 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9957 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0819 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9210 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.6413 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9047 - lr: 3.6979e-07
Epoch 157/200
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 4ms/step - loss: 3.0734 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1880 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9686 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9482 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0220 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9457 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1722WARNING: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: 2.9615 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8848WARNING: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: 2.7899 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0017 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8786 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8676 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0889 - lr: 1.0078e-07
Epoch 170/200
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: 2.9044 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7430WARNING: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 4ms/step - loss: 3.1478 - lr: 8.2510e-08
Epoch 172/200
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 4ms/step - loss: 3.0763 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8187 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3547 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5362WARNING: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: 2.9649 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0556 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8422 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8579 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3995 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8846 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7376WARNING: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 4ms/step - loss: 3.0935 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0264 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9911 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9821 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9574 - lr: 2.0347e-08
Epoch 186/200
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: 2.7828 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8769 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9713WARNING: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 4ms/step - loss: 3.1188 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8733 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8178WARNING: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: 2.8403 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.7898 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.9273 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8274 - lr: 9.1424e-09
Epoch 194/200
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 4ms/step - loss: 3.1573 - lr: 8.2724e-09
Epoch 195/200
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 4ms/step - loss: 2.9642 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1877 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.8387 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5542WARNING: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 4ms/step - loss: 3.1659 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0551 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9445WARNING: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 4ms/step - loss: 2.7446 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 64, 'kernel_size0': 4, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 2, 'stride_size1': 4, 'dropout0': 0.2, 'dropout1': 0.0}
1/39 [..............................] - ETA: 8s
38/39 [============================>.] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
[497 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
256 |256 |filter_unit4
3 |3 |kernel_size0
1 |1 |kernel_size1
1 |1 |kernel_size2
4 |4 |kernel_size3
2 |2 |kernel_size4
3 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
5 |5 |pool_size4
3 |3 |stride_size0
1 |1 |stride_size1
2 |2 |stride_size2
5 |5 |stride_size3
2 |2 |stride_size4
0 |0 |dropout0
0.4 |0.4 |dropout1
0.3 |0.3 |dropout2
0 |0 |dropout3
0 |0 |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: 19.026315689086914
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 07s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
2 |3 |kernel_size0
1 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.7421932220459
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |128 |filter_unit0
2 |3 |kernel_size0
5 |3 |pool_size0
5 |3 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 20.113340377807617
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |128 |filter_unit0
64 |64 |filter_unit1
32 |256 |filter_unit2
5 |3 |kernel_size0
2 |1 |kernel_size1
5 |1 |kernel_size2
3 |3 |pool_size0
2 |2 |pool_size1
4 |5 |pool_size2
1 |3 |stride_size0
3 |1 |stride_size1
4 |2 |stride_size2
0.2 |0 |dropout0
0 |0.4 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.53466033935547
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
256 |64 |filter_unit1
32 |256 |filter_unit2
128 |256 |filter_unit3
2 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
4 |4 |kernel_size3
2 |3 |pool_size0
3 |2 |pool_size1
2 |5 |pool_size2
4 |4 |pool_size3
3 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
5 |5 |stride_size3
0.1 |0 |dropout0
0.3 |0.4 |dropout1
0.2 |0.3 |dropout2
0.1 |0 |dropout3
2023-11-24 12:44:49.021602: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_04/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate4167916737777479214; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_65_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_04/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate4167916737777479214; No such file or directory [Op:SaveV2]
[2K
[2K
Trial 5 Complete [00h 00m 06s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
32 |256 |filter_unit2
64 |256 |filter_unit3
3 |3 |kernel_size0
2 |1 |kernel_size1
2 |1 |kernel_size2
1 |4 |kernel_size3
3 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
3 |4 |pool_size3
2 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
4 |5 |stride_size3
0.2 |0 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 20.042387008666992
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
5 |3 |kernel_size0
3 |1 |kernel_size1
5 |3 |pool_size0
3 |2 |pool_size1
3 |3 |stride_size0
5 |1 |stride_size1
0.2 |0 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.64451789855957
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
5 |3 |kernel_size0
3 |1 |kernel_size1
1 |3 |pool_size0
4 |2 |pool_size1
3 |3 |stride_size0
1 |1 |stride_size1
0.3 |0 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.669157028198242
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
32 |256 |filter_unit2
3 |3 |kernel_size0
1 |1 |kernel_size1
5 |1 |kernel_size2
1 |3 |pool_size0
4 |2 |pool_size1
3 |5 |pool_size2
4 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
0.4 |0 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.404329299926758
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
4 |3 |kernel_size0
5 |3 |pool_size0
4 |3 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 20.583580017089844
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
3 |3 |kernel_size0
3 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 21.351896286010742
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
2 |3 |kernel_size0
4 |1 |kernel_size1
2 |1 |kernel_size2
3 |4 |kernel_size3
2 |3 |pool_size0
2 |2 |pool_size1
4 |5 |pool_size2
3 |4 |pool_size3
3 |3 |stride_size0
3 |1 |stride_size1
3 |2 |stride_size2
4 |5 |stride_size3
0.1 |0 |dropout0
0.3 |0.4 |dropout1
0.1 |0.3 |dropout2
0 |0 |dropout3
2023-11-24 12:45:18.213531: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_11/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate2023257393233596473; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_65_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_11/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate2023257393233596473; No such file or directory [Op:SaveV2]
[2K
[2K
Trial 12 Complete [00h 00m 05s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 52s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
32 |256 |filter_unit3
64 |256 |filter_unit4
5 |3 |kernel_size0
2 |1 |kernel_size1
4 |1 |kernel_size2
2 |4 |kernel_size3
4 |2 |kernel_size4
1 |3 |pool_size0
5 |2 |pool_size1
1 |5 |pool_size2
2 |4 |pool_size3
4 |5 |pool_size4
3 |3 |stride_size0
5 |1 |stride_size1
3 |2 |stride_size2
3 |5 |stride_size3
5 |2 |stride_size4
0.2 |0 |dropout0
0.4 |0.4 |dropout1
0.1 |0.3 |dropout2
0 |0 |dropout3
0.2 |0 |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.742734909057617
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 58s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
64 |64 |filter_unit1
64 |256 |filter_unit2
128 |256 |filter_unit3
32 |256 |filter_unit4
1 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
3 |4 |kernel_size3
2 |2 |kernel_size4
5 |3 |pool_size0
5 |2 |pool_size1
3 |5 |pool_size2
1 |4 |pool_size3
1 |5 |pool_size4
1 |3 |stride_size0
4 |1 |stride_size1
4 |2 |stride_size2
1 |5 |stride_size3
4 |2 |stride_size4
0.1 |0 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.3 |0 |dropout3
0.2 |0 |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.86967658996582
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
256 |256 |filter_unit2
4 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
3 |3 |pool_size0
3 |2 |pool_size1
1 |5 |pool_size2
2 |3 |stride_size0
1 |1 |stride_size1
1 |2 |stride_size2
0 |0 |dropout0
0.4 |0.4 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.53276252746582
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 08s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
1 |3 |kernel_size0
1 |3 |pool_size0
4 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.106998443603516
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 11s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |128 |filter_unit0
256 |64 |filter_unit1
1 |3 |kernel_size0
4 |1 |kernel_size1
2 |3 |pool_size0
2 |2 |pool_size1
1 |3 |stride_size0
4 |1 |stride_size1
0.4 |0 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.56243133544922
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 14s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |128 |filter_unit0
3 |3 |kernel_size0
2 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 20.97345542907715
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 17s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
256 |64 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
64 |256 |filter_unit4
5 |3 |kernel_size0
1 |1 |kernel_size1
3 |1 |kernel_size2
3 |4 |kernel_size3
5 |2 |kernel_size4
2 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
5 |4 |pool_size3
2 |5 |pool_size4
2 |3 |stride_size0
1 |1 |stride_size1
4 |2 |stride_size2
3 |5 |stride_size3
3 |2 |stride_size4
0.2 |0 |dropout0
0.4 |0.4 |dropout1
0 |0.3 |dropout2
0.2 |0 |dropout3
0.4 |0 |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 07s]
val_loss: 19.786561965942383
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
4 |3 |kernel_size0
5 |1 |kernel_size1
3 |3 |pool_size0
1 |2 |pool_size1
3 |3 |stride_size0
3 |1 |stride_size1
0.4 |0 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 20.559484481811523
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 28s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 2, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 5, 'stride_size4': 2, 'dropout0': 0.0, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.0, 'dropout4': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 11s - loss: 6.8445
4/4 [==============================] - ETA: 0s - loss: 7.5077 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 71ms/step - loss: 7.5077 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.1908 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.4943 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0648WARNING: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 12ms/step - loss: 4.8700 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.5601 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0209 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7057 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7895 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1756WARNING: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 12ms/step - loss: 3.9230 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0312WARNING: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 12ms/step - loss: 3.3073 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.4135 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5497 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6161WARNING: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 12ms/step - loss: 2.9827 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1538 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9684 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9474 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0061WARNING: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 12ms/step - loss: 2.6831 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1493WARNING: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 12ms/step - loss: 2.7189 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9871 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6983 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6841 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7545 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7714 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5770 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7377 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4933WARNING: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 12ms/step - loss: 2.4827 - lr: 1.0000e-04
Epoch 27/200
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 12ms/step - loss: 2.0945 - lr: 1.0000e-04
Epoch 28/200
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 12ms/step - loss: 2.1915 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3478 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2316 - lr: 1.0000e-04
Epoch 31/200
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 12ms/step - loss: 2.5486 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1448 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4108WARNING: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 12ms/step - loss: 2.0959 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3425 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0838 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0607 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1377 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0566 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2691 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - 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 12ms/step - loss: 2.1253 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0853 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1434 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2070 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8571WARNING: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 12ms/step - loss: 2.1664 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1011 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9581 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2567 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0804 - lr: 1.0000e-04
Epoch 49/200
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 12ms/step - loss: 1.9117 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0215WARNING: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 12ms/step - loss: 1.8653 - lr: 1.0000e-04
Epoch 51/200
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 12ms/step - loss: 1.7579 - lr: 1.0000e-04
Epoch 52/200
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 12ms/step - loss: 2.0493 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0312 - lr: 1.0000e-04
Epoch 54/200
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 12ms/step - loss: 1.9686 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8581 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5916 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6571 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8643 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7453WARNING: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 12ms/step - loss: 2.1192 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1428WARNING: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 12ms/step - loss: 2.1427 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6252 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7136 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8880 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7692 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8203 - lr: 1.0000e-04
Epoch 66/200
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 12ms/step - loss: 1.9222 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9035 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6625 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6651 - lr: 1.0000e-04
Epoch 70/200
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 12ms/step - loss: 1.8663 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7162 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5274 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7437 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5355 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6435 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8378 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5225 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5437 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7309 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5626 - lr: 1.0000e-04
Epoch 81/200
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 12ms/step - loss: 1.6479 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5507 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5386 - lr: 1.0000e-04
Epoch 84/200
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 12ms/step - loss: 1.5068 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4406WARNING: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 12ms/step - loss: 1.4397 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8144 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8439WARNING: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 12ms/step - loss: 1.7548 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2422WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5131 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5067WARNING: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 12ms/step - loss: 1.9489 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7398WARNING: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 12ms/step - loss: 1.4514 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7055 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6840 - lr: 1.0000e-04
Epoch 93/200
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 12ms/step - loss: 1.5002 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7588 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1742WARNING: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 12ms/step - loss: 1.2910 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6748 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5813 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6272 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5485 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7559WARNING: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 12ms/step - loss: 1.5504 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4352WARNING: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 12ms/step - loss: 1.5046 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4803 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5541 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6847 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3401 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7022 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2390WARNING: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 12ms/step - loss: 1.4030 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3711WARNING: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 12ms/step - loss: 1.4730 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1461WARNING: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 12ms/step - loss: 1.2741 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4686 - lr: 3.6788e-05
Epoch 111/200
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 12ms/step - loss: 1.4598 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3454 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2079 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3717 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2700 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - 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 12ms/step - loss: 1.3844 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2702WARNING: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 12ms/step - loss: 1.2511 - lr: 1.8268e-05
Epoch 118/200
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 12ms/step - loss: 1.4316 - lr: 1.6530e-05
Epoch 119/200
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 12ms/step - loss: 1.3277 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5390WARNING: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 12ms/step - loss: 1.6410 - lr: 1.3534e-05
Epoch 121/200
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 12ms/step - loss: 1.4001 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5087 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6715 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3060WARNING: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 12ms/step - loss: 1.5946 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6521 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7335 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3483 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2265 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4378 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3660 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3001 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2854 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3584 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3556 - lr: 3.3373e-06
Epoch 135/200
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 12ms/step - loss: 1.5169 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2863 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5865 - lr: 2.4723e-06
Epoch 138/200
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 12ms/step - loss: 1.5633 - lr: 2.2371e-06
Epoch 139/200
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 12ms/step - loss: 1.3413 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3626 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3252 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5804 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4537WARNING: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 12ms/step - loss: 1.5180 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4118 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4918 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5704 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2606WARNING: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 12ms/step - loss: 1.3573 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4358 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3851 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4775 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5680 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3732WARNING: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 12ms/step - loss: 1.6043 - lr: 5.5165e-07
Epoch 153/200
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 13ms/step - loss: 1.5172 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4457 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4064 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3321WARNING: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 12ms/step - loss: 1.3392 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4013WARNING: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 12ms/step - loss: 1.4940 - lr: 3.3460e-07
Epoch 158/200
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 12ms/step - loss: 1.5758 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3769 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4551 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4350 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3608 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2776WARNING: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 12ms/step - loss: 1.3380 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3628 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4426 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3495 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7617WARNING: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 12ms/step - loss: 1.4796 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3656 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3732 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6971 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2986 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4759 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2930 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2831WARNING: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 12ms/step - loss: 1.6047 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1546WARNING: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 12ms/step - loss: 1.4985 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3515 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4566 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4956WARNING: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 12ms/step - loss: 1.3130 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5036WARNING: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 12ms/step - loss: 1.4845 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4200 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4103 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2243 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5496 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6400WARNING: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 12ms/step - loss: 1.4560 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5164 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4580WARNING: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 12ms/step - loss: 1.5197 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6358 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4398 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3419 - lr: 1.3639e-08
Epoch 190/200
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 12ms/step - loss: 1.6572 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.1746 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8512WARNING: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 12ms/step - loss: 1.6754 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3533 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4512 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4860 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3222 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2468 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3030WARNING: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 12ms/step - loss: 1.4488 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4237 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3279 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 2, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 5, 'stride_size4': 2, 'dropout0': 0.0, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.0, 'dropout4': 0.0}
1/39 [..............................] - ETA: 17s
15/39 [==========>...................] - ETA: 0s
29/39 [=====================>........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 6ms/step
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
.. ... ... ... ... ... ... ...
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
[498 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
5 |5 |kernel_size0
4 |4 |pool_size0
5 |5 |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
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 20.800081253051758
Best val_loss So Far: 20.800081253051758
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
5 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |4 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
1 |5 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
0.4 |0.2 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.190589904785156
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
2 |5 |kernel_size0
3 |1 |kernel_size1
2 |3 |kernel_size2
5 |3 |pool_size0
3 |4 |pool_size1
4 |2 |pool_size2
1 |1 |stride_size0
2 |3 |stride_size1
1 |4 |stride_size2
0 |0.4 |dropout0
0 |0.3 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.611839294433594
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |256 |filter_unit0
2 |5 |kernel_size0
4 |3 |pool_size0
2 |1 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 21.765077590942383
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 15s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |256 |filter_unit0
256 |128 |filter_unit1
64 |256 |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |5 |kernel_size0
1 |1 |kernel_size1
2 |3 |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
2 |3 |pool_size0
4 |4 |pool_size1
4 |2 |pool_size2
3 |None |pool_size3
5 |None |pool_size4
1 |1 |stride_size0
2 |3 |stride_size1
3 |4 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.3 |0.4 |dropout0
0.4 |0.3 |dropout1
0 |0.1 |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 07s]
val_loss: 19.935569763183594
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |256 |filter_unit0
128 |128 |filter_unit1
128 |256 |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
5 |1 |kernel_size1
1 |3 |kernel_size2
1 |None |kernel_size3
4 |3 |pool_size0
5 |4 |pool_size1
3 |2 |pool_size2
3 |None |pool_size3
1 |1 |stride_size0
3 |3 |stride_size1
3 |4 |stride_size2
2 |None |stride_size3
0 |0.4 |dropout0
0.2 |0.3 |dropout1
0 |0.1 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 20.13404655456543
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
32 |256 |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
3 |5 |kernel_size0
1 |1 |kernel_size1
1 |3 |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
3 |4 |pool_size1
5 |2 |pool_size2
1 |None |pool_size3
3 |None |pool_size4
3 |1 |stride_size0
3 |3 |stride_size1
3 |4 |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.1 |0.4 |dropout0
0.2 |0.3 |dropout1
0.2 |0.1 |dropout2
0.3 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.585145950317383
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |256 |filter_unit0
2 |5 |kernel_size0
4 |3 |pool_size0
5 |1 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 20.53472900390625
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
64 |None |filter_unit3
3 |5 |kernel_size0
1 |1 |kernel_size1
2 |3 |kernel_size2
3 |None |kernel_size3
2 |3 |pool_size0
4 |4 |pool_size1
1 |2 |pool_size2
3 |None |pool_size3
2 |1 |stride_size0
5 |3 |stride_size1
2 |4 |stride_size2
3 |None |stride_size3
0.2 |0.4 |dropout0
0.4 |0.3 |dropout1
0.2 |0.1 |dropout2
0 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 20.079273223876953
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |256 |filter_unit0
32 |128 |filter_unit1
5 |5 |kernel_size0
1 |1 |kernel_size1
3 |3 |pool_size0
2 |4 |pool_size1
1 |1 |stride_size0
1 |3 |stride_size1
0.1 |0.4 |dropout0
0.1 |0.3 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 20.13628578186035
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |256 |filter_unit0
3 |5 |kernel_size0
2 |3 |pool_size0
2 |1 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.60247039794922
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
32 |None |filter_unit3
2 |5 |kernel_size0
3 |1 |kernel_size1
1 |3 |kernel_size2
3 |None |kernel_size3
2 |3 |pool_size0
3 |4 |pool_size1
1 |2 |pool_size2
3 |None |pool_size3
4 |1 |stride_size0
3 |3 |stride_size1
3 |4 |stride_size2
4 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |0.3 |dropout1
0.3 |0.1 |dropout2
0 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.961071014404297
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
1 |5 |kernel_size0
3 |1 |kernel_size1
2 |3 |kernel_size2
1 |3 |pool_size0
3 |4 |pool_size1
3 |2 |pool_size2
4 |1 |stride_size0
2 |3 |stride_size1
1 |4 |stride_size2
0 |0.4 |dropout0
0.1 |0.3 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 20.00318717956543
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |256 |filter_unit0
32 |128 |filter_unit1
32 |256 |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
3 |5 |kernel_size0
4 |1 |kernel_size1
1 |3 |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
3 |3 |pool_size0
3 |4 |pool_size1
4 |2 |pool_size2
4 |None |pool_size3
5 |None |pool_size4
1 |1 |stride_size0
2 |3 |stride_size1
2 |4 |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.2 |0.4 |dropout0
0 |0.3 |dropout1
0.4 |0.1 |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.989709854125977
Best val_loss So Far: 19.190589904785156
Total elapsed time: 00h 01m 01s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
5 |5 |kernel_size0
2 |1 |kernel_size1
5 |3 |pool_size0
5 |4 |pool_size1
1 |1 |stride_size0
4 |3 |stride_size1
0.3 |0.4 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 18.495777130126953
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
256 |64 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
4 |5 |kernel_size0
3 |2 |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
1 |None |kernel_size4
4 |5 |pool_size0
5 |5 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
1 |4 |stride_size1
2 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.987010955810547
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 10s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |32 |filter_unit0
32 |64 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
2 |2 |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
4 |5 |pool_size0
1 |5 |pool_size1
3 |None |pool_size2
5 |None |pool_size3
3 |1 |stride_size0
2 |4 |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.3 |0.3 |dropout0
0.3 |0 |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 20.366641998291016
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 15s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |32 |filter_unit0
32 |64 |filter_unit1
3 |5 |kernel_size0
4 |2 |kernel_size1
5 |5 |pool_size0
5 |5 |pool_size1
5 |1 |stride_size0
5 |4 |stride_size1
0 |0.3 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.393470764160156
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 18s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |32 |filter_unit0
64 |64 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
2 |5 |kernel_size0
5 |2 |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |5 |pool_size0
5 |5 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
3 |4 |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0 |0.3 |dropout0
0.1 |0 |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.118932723999023
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 23s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
256 |64 |filter_unit1
3 |5 |kernel_size0
5 |2 |kernel_size1
5 |5 |pool_size0
3 |5 |pool_size1
1 |1 |stride_size0
2 |4 |stride_size1
0.4 |0.3 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 21.032548904418945
Best val_loss So Far: 18.495777130126953
Total elapsed time: 00h 01m 26s
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 64, 'kernel_size0': 5, 'kernel_size1': 2, 'pool_size0': 5, 'pool_size1': 5, 'stride_size0': 1, 'stride_size1': 4, 'dropout0': 0.30000000000000004, 'dropout1': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 12.4977
4/4 [==============================] - ETA: 0s - loss: 12.6079WARNING: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 [==============================] - 2s 17ms/step - loss: 12.6079 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6637WARNING: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: 12.2007 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4046WARNING: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 5ms/step - loss: 11.6001 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.1135 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.6292 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5440 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.0989 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7096 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4489 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.0757 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6918WARNING: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 5ms/step - loss: 8.6243 - lr: 1.0000e-04
Epoch 12/200
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 5ms/step - loss: 8.3176 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7613WARNING: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 5ms/step - loss: 8.0473 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.7576 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5716WARNING: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 5ms/step - loss: 7.6437 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9448WARNING: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 5ms/step - loss: 7.3290 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3387 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5660WARNING: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: 7.1476 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.9642 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.5918 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7803WARNING: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: 6.6229 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8119WARNING: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 5ms/step - loss: 6.4475 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1005WARNING: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: 6.3760 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3835WARNING: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 5ms/step - loss: 6.5088 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2654 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1731WARNING: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 5ms/step - loss: 5.8250 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9605 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2527 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9069WARNING: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 5ms/step - loss: 5.7603 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1323WARNING: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 5ms/step - loss: 5.8779 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7123 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6570 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8464 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8716WARNING: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 5ms/step - loss: 5.8892 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3735 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4653 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8623WARNING: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: 5.4541 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4977 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3495 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1420 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2576 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6746WARNING: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 5ms/step - loss: 5.3534 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2336 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8857WARNING: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 5ms/step - loss: 5.1123 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6747WARNING: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 5ms/step - loss: 4.9769 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9392WARNING: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 5ms/step - loss: 4.9006 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1215WARNING: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 5ms/step - loss: 4.9373 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7295WARNING: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 5ms/step - loss: 5.0670 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8367WARNING: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 5ms/step - loss: 5.0103 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9551 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6479 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9029 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9254 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2132WARNING: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 5ms/step - loss: 4.7981 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9304 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5682 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8428 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9447WARNING: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 5ms/step - loss: 4.9453 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7367 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7563 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9046WARNING: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 5ms/step - loss: 4.6024 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7717 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5450 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4388WARNING: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 5ms/step - loss: 4.6344 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6711 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5580 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0594WARNING: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 5ms/step - loss: 4.4981 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4132 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6069 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5692 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6906 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1399WARNING: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 5ms/step - loss: 4.3975 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7553 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3765 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1574 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8555WARNING: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 5ms/step - loss: 4.4932 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9046WARNING: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 5ms/step - loss: 4.3629 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2142 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4601 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2418 - lr: 1.0000e-04
Epoch 81/200
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 5ms/step - loss: 4.2130 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3110 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3344 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2514 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8577WARNING: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 5ms/step - loss: 4.3660 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3480 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6380WARNING: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 5ms/step - loss: 4.0818 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3526 - lr: 1.0000e-04
Epoch 89/200
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 5ms/step - loss: 4.0363 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9236WARNING: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 5ms/step - loss: 3.9225 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2448 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0954 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0823 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0768WARNING: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 5ms/step - loss: 3.9952 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3000WARNING: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 5ms/step - loss: 4.3825 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8041WARNING: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 5ms/step - loss: 4.1086 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1245 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1807 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2870WARNING: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 5ms/step - loss: 4.1239 - lr: 1.0000e-04
Epoch 100/200
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 5ms/step - loss: 3.9794 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8256 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1551 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9151 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9256 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9418 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1456 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9654WARNING: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 5ms/step - loss: 3.8097 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8549 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7167WARNING: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 5ms/step - loss: 3.8731 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0952 - lr: 3.6788e-05
Epoch 111/200
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 5ms/step - loss: 3.8336 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3385WARNING: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 5ms/step - loss: 4.0431 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8006WARNING: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 5ms/step - loss: 3.7487 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2332WARNING: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 5ms/step - loss: 4.1581 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9617WARNING: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 5ms/step - loss: 3.8458 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2707WARNING: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 5ms/step - loss: 4.0780 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7819 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6869 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8051 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1412 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9019 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0041 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8288 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1082 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3103WARNING: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: 3.7678 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4327WARNING: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 5ms/step - loss: 3.8504 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6557 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7003WARNING: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 5ms/step - loss: 3.8902 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8703 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8510 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0205 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9604 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0622WARNING: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 [==============================] - 0s 5ms/step - loss: 3.9740 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6026WARNING: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: 3.6698 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9065 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5246WARNING: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 5ms/step - loss: 3.8992 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8112 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9067 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9095 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5307WARNING: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 5ms/step - loss: 3.6130 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9358 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8179WARNING: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 5ms/step - loss: 3.7899 - lr: 1.4996e-06
Epoch 143/200
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 5ms/step - loss: 3.8316 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4824WARNING: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 5ms/step - loss: 3.8801 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9753 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7185 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7474WARNING: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 5ms/step - loss: 3.6684 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4488WARNING: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 5ms/step - loss: 4.1097 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5503WARNING: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 5ms/step - loss: 3.9887 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9217 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8287 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8918 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2341WARNING: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: 3.8535 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8725 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9328 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0723 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9204 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8773 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0251WARNING: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 5ms/step - loss: 3.7571 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9902WARNING: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 5ms/step - loss: 3.8524 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9261 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6399 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8703WARNING: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 5ms/step - loss: 3.9120 - lr: 1.8363e-07
Epoch 164/200
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 5ms/step - loss: 3.9257 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6335 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1821WARNING: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: 3.9625 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1069WARNING: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: 3.9172 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7693 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9455 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8113 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9685 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0328WARNING: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 5ms/step - loss: 4.0050 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2291WARNING: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 5ms/step - loss: 3.9728 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9700 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9806WARNING: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: 3.8084 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7779 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7398 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8940WARNING: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 5ms/step - loss: 3.6529 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1701WARNING: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: 3.7627 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4045WARNING: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 5ms/step - loss: 4.1540 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7250 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9168 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7615WARNING: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 5ms/step - loss: 3.6285 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9281 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8848 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0057WARNING: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 5ms/step - loss: 3.9411 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0707 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8127WARNING: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 5ms/step - loss: 4.0280 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4476WARNING: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 5ms/step - loss: 3.7200 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8083 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3639WARNING: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 5ms/step - loss: 3.6410 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1013 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9126WARNING: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 5ms/step - loss: 3.8376 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7537 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8153 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6726 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2540WARNING: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 5ms/step - loss: 3.9369 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6733 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9606 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8964WARNING: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 5ms/step - loss: 3.8929 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 64, 'kernel_size0': 5, 'kernel_size1': 2, 'pool_size0': 5, 'pool_size1': 5, 'stride_size0': 1, 'stride_size1': 4, 'dropout0': 0.30000000000000004, 'dropout1': 0.0}
1/39 [..............................] - ETA: 7s
30/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
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
.. ... ... ... ... ... ... ...
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
[499 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-12.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
256 |256 |filter_unit2
32 |32 |filter_unit3
256 |256 |filter_unit4
5 |5 |kernel_size0
5 |5 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
5 |5 |kernel_size4
5 |5 |pool_size0
2 |2 |pool_size1
2 |2 |pool_size2
3 |3 |pool_size3
1 |1 |pool_size4
4 |4 |stride_size0
4 |4 |stride_size1
2 |2 |stride_size2
2 |2 |stride_size3
4 |4 |stride_size4
0.1 |0.1 |dropout0
0.2 |0.2 |dropout1
0.4 |0.4 |dropout2
0.3 |0.3 |dropout3
0.1 |0.1 |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
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 06s]
val_loss: 19.774581909179688
Best val_loss So Far: 19.774581909179688
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |32 |filter_unit0
5 |5 |kernel_size0
5 |5 |pool_size0
5 |4 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 02s]
val_loss: 18.436307907104492
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
3 |5 |kernel_size0
1 |5 |pool_size0
4 |5 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.872472763061523
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
4 |5 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
2 |5 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.2 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.604442596435547
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
4 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
1 |5 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
0 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.643186569213867
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
4 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
3 |5 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
2 |None |pool_size4
1 |5 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.92238998413086
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
256 |None |filter_unit1
1 |5 |kernel_size0
5 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
1 |5 |stride_size0
1 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 20.263795852661133
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
2 |5 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |5 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.1 |0.2 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.51356315612793
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
1 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
3 |5 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0.2 |0.2 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 18.769872665405273
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
1 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
3 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
2 |5 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.423303604125977
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
3 |5 |kernel_size0
4 |None |kernel_size1
2 |5 |pool_size0
1 |None |pool_size1
1 |5 |stride_size0
5 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 20.23440933227539
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 50s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
2 |5 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
4 |5 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.1 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.788843154907227
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
5 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |5 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
3 |5 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0 |0.2 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 19.602123260498047
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
1 |5 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
3 |5 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
3 |5 |stride_size0
2 |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 14 Complete [00h 00m 05s]
val_loss: 19.995773315429688
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 06s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
2 |5 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
3 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
2 |5 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.68989372253418
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 12s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
3 |5 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
5 |5 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
1 |5 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.2 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.700542449951172
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 18s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
5 |5 |kernel_size0
4 |5 |pool_size0
5 |5 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 18.445619583129883
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 20s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
2 |5 |kernel_size0
2 |5 |pool_size0
3 |5 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.90619659423828
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 23s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
64 |None |filter_unit1
3 |5 |kernel_size0
2 |None |kernel_size1
1 |5 |pool_size0
2 |None |pool_size1
1 |5 |stride_size0
1 |None |stride_size1
0.3 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.885608673095703
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 26s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
64 |None |filter_unit1
3 |5 |kernel_size0
3 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
3 |5 |stride_size0
5 |None |stride_size1
0.3 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 20.66594886779785
Best val_loss So Far: 18.436307907104492
Total elapsed time: 00h 01m 30s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 13.0268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 14.0325 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 14.3171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.7639 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.2904 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.1666 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.9908 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.7093 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.3633 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3863WARNING: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 3ms/step - loss: 12.2921 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.9331 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.6907 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.5815 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.2942 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.0591 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8106WARNING: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 3ms/step - loss: 10.8110 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.5765 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.3434 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 10.1094 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1099WARNING: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 3ms/step - loss: 10.0431 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7017WARNING: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 3ms/step - loss: 9.6898 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3842WARNING: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: 9.4864 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5817WARNING: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 3ms/step - loss: 9.3374 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5811WARNING: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 3ms/step - loss: 9.0486 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.8828 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.7619 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.6205 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1724WARNING: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 3ms/step - loss: 8.2942 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.1536 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8520WARNING: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 3ms/step - loss: 8.0173 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.7232 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.8381 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.5490 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2835WARNING: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 3ms/step - loss: 7.6136 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3850 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3182 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.3111 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3234WARNING: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 3ms/step - loss: 7.2442 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0156 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 7.0148 - lr: 1.0000e-04
Epoch 39/200
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: 6.8158 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6900WARNING: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: 6.8450 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.7648 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8147WARNING: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 3ms/step - loss: 6.8177 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.6598 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.4330 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3455 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2790 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.3704 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.1255 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1705WARNING: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: 6.1566 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.1484 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5709WARNING: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 3ms/step - loss: 6.2465 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.0893 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9461 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.7795 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8530 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.6978 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2770WARNING: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 3ms/step - loss: 5.4839 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0840WARNING: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 3ms/step - loss: 5.5609 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4330 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.5005 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8005WARNING: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 3ms/step - loss: 5.5237 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3600 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5370WARNING: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 3ms/step - loss: 5.3090 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1761 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2599 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2089 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.1239 - lr: 1.0000e-04
Epoch 68/200
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: 5.1187 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0772 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2619 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0970WARNING: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: 5.0250 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.0346 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9727 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7385WARNING: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 3ms/step - loss: 4.8621 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8530 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9378 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2135WARNING: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 3ms/step - loss: 4.7853 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8769 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8110 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7588 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6247 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1328WARNING: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 3ms/step - loss: 4.7362 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7419 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8804 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6600 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6488 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5943 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6915 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8516WARNING: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 3ms/step - loss: 4.4932 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7335 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1323WARNING: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 3ms/step - loss: 4.5697 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4141 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9484WARNING: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 3ms/step - loss: 4.4761 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7407 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2032WARNING: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 3ms/step - loss: 4.6234 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5830 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4909 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4122 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4903 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2798 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3899 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2773WARNING: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 3ms/step - loss: 4.4453 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3386 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2662 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3045 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4279 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2907 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5667WARNING: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: 4.4168 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3661WARNING: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 3ms/step - loss: 4.4559 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3126 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1836 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5087WARNING: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 3ms/step - loss: 4.2250 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2330 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1767 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6382WARNING: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 3ms/step - loss: 4.3130 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2391 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0724 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3216 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3417 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6047WARNING: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 3ms/step - loss: 4.3668 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1456 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0868WARNING: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 3ms/step - loss: 4.2473 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1853 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2284 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4449 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3324 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9761WARNING: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: 4.2948 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0382WARNING: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 3ms/step - loss: 4.1220 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3470 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2617 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2734 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9667 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2237 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3566 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2940 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1069WARNING: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 3ms/step - loss: 4.2245 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8953WARNING: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 3ms/step - loss: 4.2026 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2871WARNING: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 3ms/step - loss: 4.2013 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3017WARNING: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 3ms/step - loss: 4.2212 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7670WARNING: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 3ms/step - loss: 4.0683 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1220 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2711 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1015 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2942 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2459 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3945WARNING: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 3ms/step - loss: 4.1839 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2001 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3101 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1900 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8423WARNING: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 3ms/step - loss: 4.3038 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0520 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2717 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0606 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0737 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8834 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1278WARNING: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 3ms/step - loss: 4.3108 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1669 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5991WARNING: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 3ms/step - loss: 4.1924 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1373 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8623WARNING: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 3ms/step - loss: 4.3045 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2825 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3254 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2160 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1270 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2497 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0491WARNING: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 3ms/step - loss: 4.1013 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2666 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1742 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3197WARNING: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: 4.2060 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2338 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2053 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3364 - lr: 6.7554e-08
Epoch 174/200
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: 4.4265 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6837WARNING: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 3ms/step - loss: 4.1437 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0109WARNING: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 3ms/step - loss: 4.4171 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0539 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7898WARNING: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 3ms/step - loss: 4.3262 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3072 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1802 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1195 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2593 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3383WARNING: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 3ms/step - loss: 4.1829 - lr: 2.4852e-08
Epoch 184/200
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 3ms/step - loss: 4.2726 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2528WARNING: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 3ms/step - loss: 4.2119 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2235WARNING: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 3ms/step - loss: 4.0469 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0887WARNING: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 3ms/step - loss: 4.2747 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2916 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1931 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3969 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1278 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2854 - lr: 1.0104e-08
Epoch 193/200
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 3ms/step - loss: 4.2240 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3190 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0789 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2030 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1699 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3022 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8860WARNING: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 3ms/step - loss: 4.2655 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.2}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
[500 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-17.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (120, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
32 |32 |filter_unit3
128 |128 |filter_unit4
3 |3 |kernel_size0
1 |1 |kernel_size1
2 |2 |kernel_size2
2 |2 |kernel_size3
3 |3 |kernel_size4
3 |3 |pool_size0
1 |1 |pool_size1
2 |2 |pool_size2
4 |4 |pool_size3
2 |2 |pool_size4
5 |5 |stride_size0
3 |3 |stride_size1
3 |3 |stride_size2
3 |3 |stride_size3
4 |4 |stride_size4
0.4 |0.4 |dropout0
0.3 |0.3 |dropout1
0.1 |0.1 |dropout2
0.4 |0.4 |dropout3
0.4 |0.4 |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
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 07s]
val_loss: 16.64259910583496
Best val_loss So Far: 16.64259910583496
Total elapsed time: 00h 00m 07s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
256 |128 |filter_unit1
64 |256 |filter_unit2
32 |32 |filter_unit3
64 |128 |filter_unit4
5 |3 |kernel_size0
1 |1 |kernel_size1
5 |2 |kernel_size2
2 |2 |kernel_size3
5 |3 |kernel_size4
4 |3 |pool_size0
2 |1 |pool_size1
5 |2 |pool_size2
3 |4 |pool_size3
4 |2 |pool_size4
3 |5 |stride_size0
2 |3 |stride_size1
1 |3 |stride_size2
4 |3 |stride_size3
4 |4 |stride_size4
0.2 |0.4 |dropout0
0.1 |0.3 |dropout1
0.2 |0.1 |dropout2
0.4 |0.4 |dropout3
0.2 |0.4 |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: 0.0081s). 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: 0.0081s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 16.664840698242188
Best val_loss So Far: 16.64259910583496
Total elapsed time: 00h 00m 13s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |256 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
3 |3 |kernel_size0
3 |1 |kernel_size1
1 |2 |kernel_size2
2 |3 |pool_size0
1 |1 |pool_size1
5 |2 |pool_size2
2 |5 |stride_size0
4 |3 |stride_size1
5 |3 |stride_size2
0 |0.4 |dropout0
0.1 |0.3 |dropout1
0.2 |0.1 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0039s vs `on_train_batch_end` time: 0.0121s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0039s vs `on_train_batch_end` time: 0.0121s). Check your callbacks.
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 16.815500259399414
Best val_loss So Far: 16.64259910583496
Total elapsed time: 00h 00m 18s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
32 |32 |filter_unit3
4 |3 |kernel_size0
3 |1 |kernel_size1
1 |2 |kernel_size2
4 |2 |kernel_size3
5 |3 |pool_size0
4 |1 |pool_size1
1 |2 |pool_size2
1 |4 |pool_size3
1 |5 |stride_size0
2 |3 |stride_size1
2 |3 |stride_size2
1 |3 |stride_size3
0.1 |0.4 |dropout0
0.2 |0.3 |dropout1
0.4 |0.1 |dropout2
0.3 |0.4 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 16.53887367248535
Best val_loss So Far: 16.53887367248535
Total elapsed time: 00h 00m 23s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |128 |filter_unit0
64 |32 |filter_unit1
256 |64 |filter_unit2
1 |4 |kernel_size0
1 |3 |kernel_size1
2 |1 |kernel_size2
1 |5 |pool_size0
2 |4 |pool_size1
4 |1 |pool_size2
5 |1 |stride_size0
1 |2 |stride_size1
2 |2 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.2 |dropout1
0.4 |0.4 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 16.75298500061035
Best val_loss So Far: 16.53887367248535
Total elapsed time: 00h 00m 28s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |128 |filter_unit0
128 |32 |filter_unit1
256 |64 |filter_unit2
32 |32 |filter_unit3
128 |None |filter_unit4
3 |4 |kernel_size0
1 |3 |kernel_size1
5 |1 |kernel_size2
3 |4 |kernel_size3
1 |None |kernel_size4
4 |5 |pool_size0
3 |4 |pool_size1
1 |1 |pool_size2
3 |1 |pool_size3
4 |None |pool_size4
5 |1 |stride_size0
1 |2 |stride_size1
5 |2 |stride_size2
4 |1 |stride_size3
1 |None |stride_size4
0.2 |0.1 |dropout0
0 |0.2 |dropout1
0 |0.4 |dropout2
0.2 |0.3 |dropout3
0.4 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0073s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0073s). Check your callbacks.
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 16.724821090698242
Best val_loss So Far: 16.53887367248535
Total elapsed time: 00h 00m 33s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |128 |filter_unit0
64 |32 |filter_unit1
32 |64 |filter_unit2
64 |32 |filter_unit3
64 |None |filter_unit4
5 |4 |kernel_size0
1 |3 |kernel_size1
4 |1 |kernel_size2
2 |4 |kernel_size3
5 |None |kernel_size4
3 |5 |pool_size0
2 |4 |pool_size1
1 |1 |pool_size2
2 |1 |pool_size3
2 |None |pool_size4
1 |1 |stride_size0
1 |2 |stride_size1
4 |2 |stride_size2
3 |1 |stride_size3
5 |None |stride_size4
0.1 |0.1 |dropout0
0.3 |0.2 |dropout1
0.3 |0.4 |dropout2
0.3 |0.3 |dropout3
0.1 |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: 0.0103s). 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: 0.0103s). Check your callbacks.
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 16.52085304260254
Best val_loss So Far: 16.52085304260254
Total elapsed time: 00h 00m 40s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |256 |filter_unit0
128 |64 |filter_unit1
32 |32 |filter_unit2
2 |5 |kernel_size0
2 |1 |kernel_size1
5 |4 |kernel_size2
3 |3 |pool_size0
4 |2 |pool_size1
3 |1 |pool_size2
1 |1 |stride_size0
1 |1 |stride_size1
5 |4 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.3 |dropout1
0.2 |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: 0.0053s). 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: 0.0053s). Check your callbacks.
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 16.05771827697754
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 00m 44s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
1 |2 |kernel_size0
2 |3 |pool_size0
3 |1 |stride_size0
0.1 |0.2 |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 9 Complete [00h 00m 03s]
val_loss: 16.251611709594727
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 00m 47s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |32 |filter_unit0
32 |128 |filter_unit1
256 |32 |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
5 |2 |kernel_size0
5 |2 |kernel_size1
2 |5 |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
2 |4 |pool_size1
3 |3 |pool_size2
1 |None |pool_size3
2 |None |pool_size4
1 |1 |stride_size0
2 |1 |stride_size1
5 |5 |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |0.4 |dropout1
0.3 |0.2 |dropout2
0.3 |None |dropout3
0.3 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s 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: 0.0055s vs `on_train_batch_end` time: 0.0061s). Check your callbacks.
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 16.746747970581055
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 00m 53s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
32 |128 |filter_unit1
32 |32 |filter_unit2
128 |None |filter_unit3
2 |2 |kernel_size0
2 |2 |kernel_size1
4 |5 |kernel_size2
2 |None |kernel_size3
2 |3 |pool_size0
5 |4 |pool_size1
5 |3 |pool_size2
4 |None |pool_size3
3 |1 |stride_size0
1 |1 |stride_size1
1 |5 |stride_size2
4 |None |stride_size3
0.4 |0.2 |dropout0
0 |0.4 |dropout1
0.4 |0.2 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 16.409931182861328
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 00m 57s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
2 |2 |kernel_size0
2 |3 |pool_size0
1 |1 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 17.354455947875977
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 00s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
128 |32 |filter_unit2
256 |None |filter_unit3
5 |2 |kernel_size0
1 |2 |kernel_size1
5 |5 |kernel_size2
2 |None |kernel_size3
4 |3 |pool_size0
3 |4 |pool_size1
3 |3 |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
5 |1 |stride_size1
2 |5 |stride_size2
5 |None |stride_size3
0.1 |0.2 |dropout0
0.4 |0.4 |dropout1
0.3 |0.2 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.45912742614746
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 06s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
256 |32 |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
4 |2 |kernel_size1
5 |5 |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
1 |3 |pool_size0
1 |4 |pool_size1
4 |3 |pool_size2
1 |None |pool_size3
5 |None |pool_size4
4 |1 |stride_size0
4 |1 |stride_size1
1 |5 |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0 |0.2 |dropout0
0.2 |0.4 |dropout1
0.2 |0.2 |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0084s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0084s). Check your callbacks.
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 16.907106399536133
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 12s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |32 |filter_unit0
64 |128 |filter_unit1
256 |32 |filter_unit2
64 |None |filter_unit3
3 |2 |kernel_size0
5 |2 |kernel_size1
1 |5 |kernel_size2
1 |None |kernel_size3
4 |3 |pool_size0
3 |4 |pool_size1
5 |3 |pool_size2
4 |None |pool_size3
1 |1 |stride_size0
4 |1 |stride_size1
1 |5 |stride_size2
2 |None |stride_size3
0.2 |0.2 |dropout0
0 |0.4 |dropout1
0 |0.2 |dropout2
0.3 |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: 0.0132s). 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: 0.0132s). Check your callbacks.
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 16.348711013793945
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 18s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |32 |filter_unit0
32 |128 |filter_unit1
128 |32 |filter_unit2
256 |None |filter_unit3
3 |2 |kernel_size0
1 |2 |kernel_size1
1 |5 |kernel_size2
2 |None |kernel_size3
4 |3 |pool_size0
2 |4 |pool_size1
1 |3 |pool_size2
4 |None |pool_size3
5 |1 |stride_size0
2 |1 |stride_size1
4 |5 |stride_size2
2 |None |stride_size3
0.1 |0.2 |dropout0
0.2 |0.4 |dropout1
0.1 |0.2 |dropout2
0.1 |None |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_end` time: 0.0048s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_end` time: 0.0048s). Check your callbacks.
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 16.674951553344727
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 22s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
256 |128 |filter_unit1
256 |32 |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
5 |2 |kernel_size1
2 |5 |kernel_size2
1 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
1 |4 |pool_size1
3 |3 |pool_size2
1 |None |pool_size3
3 |None |pool_size4
2 |1 |stride_size0
3 |1 |stride_size1
4 |5 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
0.4 |0.2 |dropout2
0 |None |dropout3
0 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0082s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0055s vs `on_train_batch_end` time: 0.0082s). Check your callbacks.
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 16.780611038208008
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 28s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
64 |128 |filter_unit1
64 |32 |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |2 |kernel_size0
1 |2 |kernel_size1
3 |5 |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
5 |4 |pool_size1
2 |3 |pool_size2
4 |None |pool_size3
2 |None |pool_size4
3 |1 |stride_size0
1 |1 |stride_size1
3 |5 |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.3 |0.2 |dropout0
0.2 |0.4 |dropout1
0.3 |0.2 |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 16.19942855834961
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 35s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |32 |filter_unit0
1 |2 |kernel_size0
3 |3 |pool_size0
1 |1 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 18.01273536682129
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 37s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
3 |2 |kernel_size0
1 |3 |pool_size0
5 |1 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 16.837316513061523
Best val_loss So Far: 16.05771827697754
Total elapsed time: 00h 01m 40s
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 32, 'kernel_size0': 2, 'kernel_size1': 2, 'kernel_size2': 5, 'pool_size0': 3, 'pool_size1': 4, 'pool_size2': 3, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 5, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 17.8773
4/4 [==============================] - ETA: 0s - loss: 17.2927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 28ms/step - loss: 17.2927 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.1994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 16.2409 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 15.1688 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8380WARNING: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 10ms/step - loss: 13.7476 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 12.3021 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 11.1238 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 10.1662 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 9.1755 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9630WARNING: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 10ms/step - loss: 8.3158 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 7.1674 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4405WARNING: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 10ms/step - loss: 6.4264 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8844WARNING: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 11ms/step - loss: 5.7844 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2723WARNING: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 10ms/step - loss: 5.0134 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.1276 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.8727 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.8540 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.0089 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8580WARNING: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 10ms/step - loss: 4.3200 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.4971 - lr: 1.0000e-04
Epoch 20/200
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 10ms/step - loss: 4.9472 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1881 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.3566 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.3760 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1410 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0274 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8925 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4289WARNING: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 10ms/step - loss: 3.8126 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0285 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8173WARNING: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 10ms/step - loss: 4.1302 - lr: 1.0000e-04
Epoch 30/200
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 10ms/step - loss: 3.7788 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7992 - lr: 1.0000e-04
Epoch 32/200
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 10ms/step - loss: 3.6661 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4923WARNING: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 10ms/step - loss: 3.5767 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8679 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8326 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.6281 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0713 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1042 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6104WARNING: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 10ms/step - loss: 3.5067 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7385 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9100WARNING: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 10ms/step - loss: 3.4856 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5681 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7485 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2569WARNING: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 11ms/step - loss: 3.5305 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3814WARNING: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 10ms/step - loss: 3.2707 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3189WARNING: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 10ms/step - loss: 3.3516 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2827 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5800WARNING: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 10ms/step - loss: 3.4503 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0755 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1327 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1021WARNING: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 10ms/step - loss: 3.1909 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.6237 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1600 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4338WARNING: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 10ms/step - loss: 3.2486 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1193 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1021 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0807 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1395 - lr: 1.0000e-04
Epoch 59/200
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 10ms/step - loss: 2.8009 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8312 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1948 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2143 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1201 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3108WARNING: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 10ms/step - loss: 3.1902 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4511WARNING: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 10ms/step - loss: 2.9202 - lr: 1.0000e-04
Epoch 66/200
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 10ms/step - loss: 3.0644 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0402 - lr: 1.0000e-04
Epoch 68/200
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 10ms/step - loss: 3.1121 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8827 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0739 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0671WARNING: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 10ms/step - loss: 2.8787 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5862 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9383WARNING: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 10ms/step - loss: 2.5978 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9029 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6701 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.7304 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6303WARNING: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 10ms/step - loss: 2.9963 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6617 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7243 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7473 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9307 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7945 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4333 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9485 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8051 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5567 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7827 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6458 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7285 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3161 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2518WARNING: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 10ms/step - loss: 2.4696 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4663 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5878 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6732 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8259 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7018 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5222 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4790 - lr: 1.0000e-04
Epoch 99/200
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 10ms/step - loss: 2.4596 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4101WARNING: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 10ms/step - loss: 2.6329 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5020 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0869 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6012WARNING: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 10ms/step - loss: 2.5785 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4508 - lr: 6.7032e-05
Epoch 105/200
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 10ms/step - loss: 2.4131 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5148 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4714 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7289 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5698 - lr: 4.0657e-05
Epoch 110/200
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 10ms/step - loss: 2.5868 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3808 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6021 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5647 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0160WARNING: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 10ms/step - loss: 2.2778 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4881 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2410 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4069 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8227WARNING: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 10ms/step - loss: 2.3612 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6397 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5299 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7309WARNING: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 10ms/step - loss: 2.4371 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7434WARNING: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 10ms/step - loss: 2.8011 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4180 - lr: 1.0026e-05
Epoch 124/200
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 10ms/step - loss: 2.3943 - lr: 9.0718e-06
Epoch 125/200
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 10ms/step - loss: 2.5039 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4456 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4309 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6751 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4152 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5310WARNING: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 10ms/step - loss: 2.4772 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3741 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4163 - 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 10ms/step - loss: 2.4679 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2763 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8898WARNING: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 10ms/step - loss: 2.6236 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6839 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5916 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2449 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4229 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2210 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3613 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4617 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4289 - lr: 1.3569e-06
Epoch 144/200
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 10ms/step - loss: 1.9984 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7254WARNING: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 10ms/step - loss: 2.4269 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4830 - lr: 1.0052e-06
Epoch 147/200
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 10ms/step - loss: 2.5543 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3914 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4679WARNING: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 10ms/step - loss: 2.5356 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4172 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1848 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4317 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4852 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4539WARNING: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 10ms/step - loss: 2.4634 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5863 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7649 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4118 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5493 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5575 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0659WARNING: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 10ms/step - loss: 2.4539 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5870WARNING: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 10ms/step - loss: 2.4073 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5557 - lr: 2.0294e-07
Epoch 163/200
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 10ms/step - loss: 2.2847 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6235 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3803 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4320 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4484WARNING: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 10ms/step - loss: 2.5566 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1537 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5293 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6442WARNING: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 10ms/step - loss: 2.3941 - lr: 9.1188e-08
Epoch 171/200
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 10ms/step - loss: 2.4902 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7364 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3128 - lr: 6.7554e-08
Epoch 174/200
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 10ms/step - loss: 2.3402 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5345 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0133 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3486 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4422 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2818 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3506 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3166WARNING: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 10ms/step - loss: 2.4513 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5033WARNING: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 10ms/step - loss: 2.3904 - 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 10ms/step - loss: 2.3532 - lr: 2.4852e-08
Epoch 184/200
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 10ms/step - loss: 2.4562 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2043WARNING: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 10ms/step - loss: 2.4118 - lr: 2.0347e-08
Epoch 186/200
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 10ms/step - loss: 2.4178 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1318WARNING: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 10ms/step - loss: 2.1604 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2450 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6133 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4195 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3192 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5358 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1774 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3778 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1353 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2934 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4445 - lr: 6.1283e-09
Epoch 198/200
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 10ms/step - loss: 2.4148 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1703 - 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 10ms/step - loss: 2.4742 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 32, 'kernel_size0': 2, 'kernel_size1': 2, 'kernel_size2': 5, 'pool_size0': 3, 'pool_size1': 4, 'pool_size2': 3, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 5, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.2}
1/39 [..............................] - ETA: 11s
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35/39 [=========================>....] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 4ms/step
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
.. ... ... ... ... ... ... ...
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
[501 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
64 |64 |filter_unit1
128 |256 |filter_unit2
5 |4 |kernel_size0
3 |1 |kernel_size1
3 |3 |kernel_size2
4 |4 |pool_size0
2 |3 |pool_size1
2 |1 |pool_size2
3 |4 |stride_size0
5 |1 |stride_size1
5 |4 |stride_size2
0.2 |0.1 |dropout0
0.3 |0.4 |dropout1
0.4 |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
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 18.98392105102539
Best val_loss So Far: 18.98392105102539
Total elapsed time: 00h 00m 04s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
64 |64 |filter_unit1
128 |128 |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
4 |3 |kernel_size1
5 |3 |kernel_size2
5 |None |kernel_size3
5 |4 |pool_size0
4 |2 |pool_size1
5 |2 |pool_size2
4 |None |pool_size3
5 |3 |stride_size0
1 |5 |stride_size1
3 |5 |stride_size2
3 |None |stride_size3
0 |0.2 |dropout0
0 |0.3 |dropout1
0.1 |0.4 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 18.73732566833496
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 10s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
256 |128 |filter_unit3
5 |4 |kernel_size0
1 |4 |kernel_size1
3 |5 |kernel_size2
1 |5 |kernel_size3
5 |5 |pool_size0
3 |4 |pool_size1
2 |5 |pool_size2
4 |4 |pool_size3
2 |5 |stride_size0
3 |1 |stride_size1
1 |3 |stride_size2
4 |3 |stride_size3
0.1 |0 |dropout0
0 |0 |dropout1
0.3 |0.1 |dropout2
0.1 |0.1 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.258960723876953
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
64 |64 |filter_unit1
4 |4 |kernel_size0
2 |4 |kernel_size1
4 |5 |pool_size0
5 |4 |pool_size1
1 |5 |stride_size0
3 |1 |stride_size1
0.1 |0 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.39667320251465
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |256 |filter_unit0
1 |4 |kernel_size0
1 |5 |pool_size0
1 |5 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.64940071105957
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
128 |64 |filter_unit1
2 |4 |kernel_size0
1 |4 |kernel_size1
3 |5 |pool_size0
5 |4 |pool_size1
4 |5 |stride_size0
5 |1 |stride_size1
0.1 |0 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 18.804431915283203
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 26s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |256 |filter_unit0
64 |64 |filter_unit1
64 |128 |filter_unit2
64 |128 |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
1 |4 |kernel_size1
3 |5 |kernel_size2
3 |5 |kernel_size3
5 |None |kernel_size4
4 |5 |pool_size0
2 |4 |pool_size1
3 |5 |pool_size2
2 |4 |pool_size3
4 |None |pool_size4
4 |5 |stride_size0
3 |1 |stride_size1
1 |3 |stride_size2
2 |3 |stride_size3
2 |None |stride_size4
0.4 |0 |dropout0
0 |0 |dropout1
0.1 |0.1 |dropout2
0.1 |0.1 |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.009384155273438
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |256 |filter_unit0
64 |64 |filter_unit1
128 |128 |filter_unit2
2 |4 |kernel_size0
4 |4 |kernel_size1
4 |5 |kernel_size2
2 |5 |pool_size0
4 |4 |pool_size1
1 |5 |pool_size2
3 |5 |stride_size0
4 |1 |stride_size1
2 |3 |stride_size2
0.2 |0 |dropout0
0.3 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.04022979736328
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
128 |64 |filter_unit1
128 |128 |filter_unit2
64 |128 |filter_unit3
1 |4 |kernel_size0
2 |4 |kernel_size1
4 |5 |kernel_size2
3 |5 |kernel_size3
5 |5 |pool_size0
3 |4 |pool_size1
3 |5 |pool_size2
1 |4 |pool_size3
1 |5 |stride_size0
1 |1 |stride_size1
5 |3 |stride_size2
1 |3 |stride_size3
0.3 |0 |dropout0
0.2 |0 |dropout1
0 |0.1 |dropout2
0.4 |0.1 |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 19.10487174987793
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |256 |filter_unit0
32 |64 |filter_unit1
128 |128 |filter_unit2
4 |4 |kernel_size0
3 |4 |kernel_size1
4 |5 |kernel_size2
4 |5 |pool_size0
2 |4 |pool_size1
3 |5 |pool_size2
4 |5 |stride_size0
2 |1 |stride_size1
5 |3 |stride_size2
0 |0 |dropout0
0.1 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.540742874145508
Best val_loss So Far: 18.73732566833496
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |256 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
64 |128 |filter_unit3
5 |4 |kernel_size0
4 |4 |kernel_size1
1 |5 |kernel_size2
4 |5 |kernel_size3
4 |5 |pool_size0
1 |4 |pool_size1
4 |5 |pool_size2
1 |4 |pool_size3
4 |5 |stride_size0
3 |1 |stride_size1
1 |3 |stride_size2
4 |3 |stride_size3
0.1 |0 |dropout0
0.4 |0 |dropout1
0.3 |0.1 |dropout2
0.1 |0.1 |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 18.527175903320312
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |64 |filter_unit0
64 |32 |filter_unit1
256 |256 |filter_unit2
3 |5 |kernel_size0
1 |4 |kernel_size1
2 |1 |kernel_size2
4 |4 |pool_size0
4 |1 |pool_size1
5 |4 |pool_size2
1 |4 |stride_size0
2 |3 |stride_size1
4 |1 |stride_size2
0 |0.1 |dropout0
0.1 |0.4 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 18.907791137695312
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 00m 57s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |64 |filter_unit0
128 |32 |filter_unit1
4 |5 |kernel_size0
4 |4 |kernel_size1
3 |4 |pool_size0
3 |1 |pool_size1
4 |4 |stride_size0
1 |3 |stride_size1
0 |0.1 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.107501983642578
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 01m 01s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |64 |filter_unit0
1 |5 |kernel_size0
4 |4 |pool_size0
4 |4 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.751293182373047
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |32 |filter_unit1
128 |256 |filter_unit2
32 |64 |filter_unit3
256 |None |filter_unit4
4 |5 |kernel_size0
2 |4 |kernel_size1
4 |1 |kernel_size2
4 |4 |kernel_size3
4 |None |kernel_size4
3 |4 |pool_size0
5 |1 |pool_size1
3 |4 |pool_size2
4 |1 |pool_size3
3 |None |pool_size4
3 |4 |stride_size0
2 |3 |stride_size1
1 |1 |stride_size2
5 |4 |stride_size3
4 |None |stride_size4
0 |0.1 |dropout0
0.4 |0.4 |dropout1
0.2 |0.3 |dropout2
0.1 |0.1 |dropout3
0 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 08s]
val_loss: 18.939485549926758
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 01m 11s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
256 |32 |filter_unit1
64 |256 |filter_unit2
64 |64 |filter_unit3
128 |None |filter_unit4
2 |5 |kernel_size0
4 |4 |kernel_size1
4 |1 |kernel_size2
2 |4 |kernel_size3
5 |None |kernel_size4
2 |4 |pool_size0
4 |1 |pool_size1
5 |4 |pool_size2
1 |1 |pool_size3
2 |None |pool_size4
1 |4 |stride_size0
2 |3 |stride_size1
2 |1 |stride_size2
5 |4 |stride_size3
2 |None |stride_size4
0.3 |0.1 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
0.1 |0.1 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.2263126373291
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 01m 17s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
128 |256 |filter_unit2
256 |64 |filter_unit3
64 |None |filter_unit4
1 |5 |kernel_size0
5 |4 |kernel_size1
4 |1 |kernel_size2
3 |4 |kernel_size3
5 |None |kernel_size4
4 |4 |pool_size0
1 |1 |pool_size1
4 |4 |pool_size2
5 |1 |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
5 |3 |stride_size1
1 |1 |stride_size2
1 |4 |stride_size3
1 |None |stride_size4
0.3 |0.1 |dropout0
0.2 |0.4 |dropout1
0.4 |0.3 |dropout2
0.4 |0.1 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 18.5505313873291
Best val_loss So Far: 18.527175903320312
Total elapsed time: 00h 01m 25s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
256 |256 |filter_unit2
256 |64 |filter_unit3
5 |5 |kernel_size0
1 |4 |kernel_size1
4 |1 |kernel_size2
4 |4 |kernel_size3
2 |4 |pool_size0
1 |1 |pool_size1
5 |4 |pool_size2
1 |1 |pool_size3
5 |4 |stride_size0
4 |3 |stride_size1
1 |1 |stride_size2
2 |4 |stride_size3
0 |0.1 |dropout0
0 |0.4 |dropout1
0.1 |0.3 |dropout2
0.2 |0.1 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 17.5490779876709
Best val_loss So Far: 17.5490779876709
Total elapsed time: 00h 01m 31s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
64 |256 |filter_unit3
256 |None |filter_unit4
1 |5 |kernel_size0
2 |1 |kernel_size1
5 |4 |kernel_size2
3 |4 |kernel_size3
1 |None |kernel_size4
4 |2 |pool_size0
5 |1 |pool_size1
3 |5 |pool_size2
1 |1 |pool_size3
5 |None |pool_size4
1 |5 |stride_size0
4 |4 |stride_size1
5 |1 |stride_size2
3 |2 |stride_size3
4 |None |stride_size4
0.3 |0 |dropout0
0.3 |0 |dropout1
0 |0.1 |dropout2
0.3 |0.2 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 19.006505966186523
Best val_loss So Far: 17.5490779876709
Total elapsed time: 00h 01m 38s
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 1, 'stride_size0': 5, 'stride_size1': 4, 'stride_size2': 1, 'stride_size3': 2, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.1, 'dropout3': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 10.0487
4/4 [==============================] - ETA: 0s - loss: 8.8925 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 127ms/step - loss: 8.8925 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.9353 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.8732 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.8877 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2780 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1098 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3407 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1765WARNING: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 8ms/step - loss: 2.3557 - lr: 1.0000e-04
Epoch 9/200
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 8ms/step - loss: 2.4125 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8753 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9469 - lr: 1.0000e-04
Epoch 12/200
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: 1.8571 - lr: 1.0000e-04
Epoch 13/200
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 8ms/step - loss: 1.9803 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - 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 8ms/step - loss: 1.8566 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5313WARNING: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 8ms/step - loss: 1.7845 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7086 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8247WARNING: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 8ms/step - loss: 1.7387 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8762 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5662 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3314WARNING: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: 1.6080 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4678 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1575WARNING: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: 1.6936 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4507 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8429 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6328 - lr: 1.0000e-04
Epoch 26/200
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 8ms/step - loss: 1.5911 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1616 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5559 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1681 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5537 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7254WARNING: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 8ms/step - loss: 1.4659 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6308WARNING: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 8ms/step - loss: 1.5611 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3418 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5569 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5116 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3541WARNING: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 8ms/step - loss: 1.3357 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2295WARNING: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: 1.3578 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4246 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4200WARNING: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 8ms/step - loss: 1.6216 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4551 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5167WARNING: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 8ms/step - loss: 1.4625 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5368 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5195 - lr: 1.0000e-04
Epoch 44/200
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 8ms/step - loss: 1.3591 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2266 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3232 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2729 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0388WARNING: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 8ms/step - loss: 1.2810 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2085 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1685 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1093 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0930 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2458 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3493 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2852 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3900 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2034 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1331 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2329 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1767 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1294 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4751 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1082WARNING: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 8ms/step - loss: 1.1366 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2947 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5090WARNING: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 8ms/step - loss: 1.3834 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3017 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1670WARNING: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 8ms/step - loss: 1.2238 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3446 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1183 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2123WARNING: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: 1.2560 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0899 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2279 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0143WARNING: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 8ms/step - loss: 1.1387 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4242 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2794 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0468 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1812 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1203 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9563 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0851 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0239WARNING: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 8ms/step - loss: 1.0817 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1355 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4713WARNING: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 8ms/step - loss: 1.4377 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3592 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0443 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1452 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9922 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1729 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8488WARNING: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 8ms/step - loss: 0.9194 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0985 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0952WARNING: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 8ms/step - loss: 1.0709 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1625WARNING: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 8ms/step - loss: 1.1202 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2165WARNING: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 8ms/step - loss: 1.1016 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0890 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2614 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1566 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2109WARNING: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 8ms/step - loss: 1.0489 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2341WARNING: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 8ms/step - loss: 1.0620 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9478WARNING: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 8ms/step - loss: 0.9632 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8683WARNING: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: 1.0638 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1401 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1821 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9391WARNING: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 8ms/step - loss: 1.1854 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0874WARNING: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 8ms/step - loss: 0.9827 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0584 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0377 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1371 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0063 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9656WARNING: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 8ms/step - loss: 0.9554 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0686WARNING: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 8ms/step - loss: 1.0536 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9401 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8459 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9843 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8868WARNING: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 [==============================] - 0s 8ms/step - loss: 0.9310 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9628 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9228 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0634WARNING: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 8ms/step - loss: 1.0927 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0164 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9354 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8961 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9943 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0868WARNING: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: 0.8992 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9563 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8303 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9772 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9241 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1533 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8659WARNING: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 8ms/step - loss: 0.8381 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2235WARNING: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 8ms/step - loss: 0.9281 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7613WARNING: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 8ms/step - loss: 0.7857 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6937WARNING: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 8ms/step - loss: 1.0438 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9005 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9386 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9399 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8769 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9228 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8403WARNING: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 8ms/step - loss: 0.8920 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9297 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8957 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0089WARNING: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 8ms/step - loss: 0.8945 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8574 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8301 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8713 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1933 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0895 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8508 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0441 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9411WARNING: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 8ms/step - loss: 0.9335 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9448 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9161WARNING: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 8ms/step - loss: 0.9161 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9974 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8095WARNING: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 8ms/step - loss: 0.8252 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8790 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9975 - lr: 4.5166e-07
Epoch 155/200
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 8ms/step - loss: 1.0900 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7074WARNING: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 8ms/step - loss: 0.9509 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8742WARNING: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 8ms/step - loss: 0.8939 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4672WARNING: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 8ms/step - loss: 1.1117 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8820WARNING: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: 0.8762 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8842WARNING: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 8ms/step - loss: 0.9162 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9435 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2076 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8067WARNING: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 8ms/step - loss: 0.8985 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0046 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0887WARNING: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 8ms/step - loss: 0.8214 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9280WARNING: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 8ms/step - loss: 0.9538 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8437WARNING: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 8ms/step - loss: 1.0818 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9075 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8619 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8768 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8809 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9247 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0472 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9264WARNING: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 8ms/step - loss: 0.9406 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9543 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1801WARNING: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 8ms/step - loss: 1.0157 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9579 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8635 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8311 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1465WARNING: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 8ms/step - loss: 1.0173 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8948WARNING: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 8ms/step - loss: 0.8374 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9003 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9317 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8078 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8615 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0555 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0049 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9318WARNING: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 8ms/step - loss: 0.8277 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8799 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7422 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9875 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1448WARNING: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 8ms/step - loss: 0.9243 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8119 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9409 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0930 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8981 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9372 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0235WARNING: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 8ms/step - loss: 0.9122 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0260WARNING: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 8ms/step - loss: 0.9396 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9246 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 1, 'stride_size0': 5, 'stride_size1': 4, 'stride_size2': 1, 'stride_size3': 2, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.1, 'dropout3': 0.2}
1/39 [..............................] - ETA: 14s
22/39 [===============>..............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 4ms/step
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
.. ... ... ... ... ... ... ...
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
[502 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |32 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
1 |4 |kernel_size0
4 |5 |kernel_size1
4 |None |kernel_size2
3 |4 |pool_size0
5 |2 |pool_size1
4 |None |pool_size2
4 |5 |stride_size0
3 |1 |stride_size1
5 |None |stride_size2
0.3 |0.4 |dropout0
0.3 |0 |dropout1
0.1 |None |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
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.104660034179688
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 05s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
64 |32 |filter_unit2
1 |1 |kernel_size0
4 |4 |kernel_size1
1 |4 |kernel_size2
1 |3 |pool_size0
3 |5 |pool_size1
2 |4 |pool_size2
3 |4 |stride_size0
5 |3 |stride_size1
5 |5 |stride_size2
0 |0.3 |dropout0
0.3 |0.3 |dropout1
0.4 |0.1 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.631864547729492
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 10s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
256 |32 |filter_unit2
3 |1 |kernel_size0
1 |4 |kernel_size1
1 |4 |kernel_size2
3 |3 |pool_size0
5 |5 |pool_size1
1 |4 |pool_size2
5 |4 |stride_size0
2 |3 |stride_size1
5 |5 |stride_size2
0 |0.3 |dropout0
0.1 |0.3 |dropout1
0.1 |0.1 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.629976272583008
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 14s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |256 |filter_unit0
256 |128 |filter_unit1
4 |1 |kernel_size0
1 |4 |kernel_size1
5 |3 |pool_size0
1 |5 |pool_size1
3 |4 |stride_size0
5 |3 |stride_size1
0.1 |0.3 |dropout0
0.1 |0.3 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.379331588745117
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |256 |filter_unit0
32 |128 |filter_unit1
4 |1 |kernel_size0
1 |4 |kernel_size1
5 |3 |pool_size0
1 |5 |pool_size1
3 |4 |stride_size0
4 |3 |stride_size1
0.4 |0.3 |dropout0
0.4 |0.3 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.366912841796875
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 21s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
256 |32 |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |1 |kernel_size0
3 |4 |kernel_size1
4 |4 |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
5 |5 |pool_size1
3 |4 |pool_size2
1 |None |pool_size3
2 |None |pool_size4
5 |4 |stride_size0
2 |3 |stride_size1
3 |5 |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.3 |dropout1
0.3 |0.1 |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.465301513671875
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |256 |filter_unit0
128 |128 |filter_unit1
128 |32 |filter_unit2
256 |None |filter_unit3
3 |1 |kernel_size0
5 |4 |kernel_size1
4 |4 |kernel_size2
2 |None |kernel_size3
3 |3 |pool_size0
2 |5 |pool_size1
5 |4 |pool_size2
2 |None |pool_size3
1 |4 |stride_size0
4 |3 |stride_size1
2 |5 |stride_size2
1 |None |stride_size3
0.1 |0.3 |dropout0
0.1 |0.3 |dropout1
0.1 |0.1 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.712099075317383
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
128 |32 |filter_unit2
4 |1 |kernel_size0
3 |4 |kernel_size1
1 |4 |kernel_size2
2 |3 |pool_size0
4 |5 |pool_size1
5 |4 |pool_size2
4 |4 |stride_size0
1 |3 |stride_size1
1 |5 |stride_size2
0.3 |0.3 |dropout0
0.2 |0.3 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.581666946411133
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |256 |filter_unit0
64 |128 |filter_unit1
128 |32 |filter_unit2
3 |1 |kernel_size0
4 |4 |kernel_size1
3 |4 |kernel_size2
1 |3 |pool_size0
2 |5 |pool_size1
5 |4 |pool_size2
5 |4 |stride_size0
4 |3 |stride_size1
4 |5 |stride_size2
0.3 |0.3 |dropout0
0.4 |0.3 |dropout1
0.2 |0.1 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.947988510131836
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |256 |filter_unit0
3 |1 |kernel_size0
3 |3 |pool_size0
2 |4 |stride_size0
0.4 |0.3 |dropout0
2023-11-24 12:54:03.957448: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001.index; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001.index; No such file or directory [Op:MergeV2Checkpoints]
[2K
[2K
Trial 11 Complete [00h 00m 02s]
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 44s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |256 |filter_unit0
32 |128 |filter_unit1
64 |32 |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
2 |1 |kernel_size0
5 |4 |kernel_size1
1 |4 |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
1 |3 |pool_size0
1 |5 |pool_size1
5 |4 |pool_size2
1 |None |pool_size3
1 |None |pool_size4
3 |4 |stride_size0
2 |3 |stride_size1
4 |5 |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.3 |0.3 |dropout0
0.1 |0.3 |dropout1
0.4 |0.1 |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.910688400268555
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |256 |filter_unit0
64 |128 |filter_unit1
32 |32 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
1 |1 |kernel_size0
4 |4 |kernel_size1
4 |4 |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
3 |5 |pool_size1
1 |4 |pool_size2
2 |None |pool_size3
4 |None |pool_size4
5 |4 |stride_size0
2 |3 |stride_size1
2 |5 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0 |0.3 |dropout0
0.1 |0.3 |dropout1
0 |0.1 |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.712265014648438
Best val_loss So Far: 19.104660034179688
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |256 |filter_unit0
128 |128 |filter_unit1
3 |1 |kernel_size0
5 |4 |kernel_size1
3 |3 |pool_size0
3 |5 |pool_size1
1 |4 |stride_size0
3 |3 |stride_size1
0.2 |0.3 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 18.2176456451416
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 00m 59s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
1 |3 |kernel_size0
5 |5 |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
2 |3 |pool_size0
5 |3 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
3 |1 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0.3 |0.2 |dropout0
0.2 |0 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.657072067260742
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |64 |filter_unit0
1 |3 |kernel_size0
4 |3 |pool_size0
1 |1 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.966442108154297
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |64 |filter_unit0
256 |128 |filter_unit1
32 |None |filter_unit2
2 |3 |kernel_size0
3 |5 |kernel_size1
1 |None |kernel_size2
5 |3 |pool_size0
1 |3 |pool_size1
2 |None |pool_size2
4 |1 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
0.4 |0.2 |dropout0
0.3 |0 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.78145980834961
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 13s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |64 |filter_unit0
128 |128 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
5 |3 |kernel_size0
2 |5 |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
3 |3 |pool_size0
1 |3 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
4 |1 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
3 |None |stride_size3
0 |0.2 |dropout0
0.3 |0 |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.61353302001953
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 18s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
1 |3 |kernel_size0
2 |5 |kernel_size1
2 |3 |pool_size0
2 |3 |pool_size1
5 |1 |stride_size0
5 |3 |stride_size1
0.2 |0.2 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.641298294067383
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |3 |kernel_size0
3 |5 |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
3 |3 |pool_size0
2 |3 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |None |pool_size4
5 |1 |stride_size0
1 |3 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.1 |0.2 |dropout0
0.2 |0 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 19.370697021484375
Best val_loss So Far: 18.2176456451416
Total elapsed time: 00h 01m 29s
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 128, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 3, 'pool_size1': 3, 'stride_size0': 1, 'stride_size1': 3, 'dropout0': 0.2, 'dropout1': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 13.7159
4/4 [==============================] - ETA: 0s - loss: 13.5005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 25ms/step - loss: 13.5005 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3910WARNING: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 9ms/step - loss: 11.1299 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.9414 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7986WARNING: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 9ms/step - loss: 7.4813 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.3131 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.8070 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.7587 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.7045 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.5190 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.0612 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.1800 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.8555 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4045WARNING: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 9ms/step - loss: 4.8036 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7378WARNING: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 9ms/step - loss: 4.4870 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.4557 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3049WARNING: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 9ms/step - loss: 4.2526 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9889WARNING: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 9ms/step - loss: 4.1062 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1343 - lr: 1.0000e-04
Epoch 19/200
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 9ms/step - loss: 3.9390 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8256 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7933 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9694 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4887WARNING: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 9ms/step - loss: 3.7742 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6800 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3925 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6676WARNING: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 9ms/step - loss: 3.2457 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4911 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0936 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9974WARNING: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 9ms/step - loss: 3.0579 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8672 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1930 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8124 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9344 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6900 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8205WARNING: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 9ms/step - loss: 2.7899 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3321WARNING: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: 2.9523 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0453 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8725 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7564 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6645 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5926 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6491 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4710 - lr: 1.0000e-04
Epoch 44/200
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 9ms/step - loss: 2.3750 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6523 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5773 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4616 - lr: 1.0000e-04
Epoch 48/200
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 9ms/step - loss: 2.3360 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4069 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5228 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4163 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6322WARNING: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 9ms/step - loss: 2.2425 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2482 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5502 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1240WARNING: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 9ms/step - loss: 2.4435 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2018 - lr: 1.0000e-04
Epoch 57/200
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 9ms/step - loss: 2.3106 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0726 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3815 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2355 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0009 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1777 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8503WARNING: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 9ms/step - loss: 2.2199 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1673 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1202 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6795WARNING: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 9ms/step - loss: 2.2848 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6324WARNING: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 9ms/step - loss: 1.9880 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7877WARNING: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 9ms/step - loss: 2.0940 - lr: 1.0000e-04
Epoch 69/200
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 9ms/step - loss: 2.1346 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0901WARNING: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 9ms/step - loss: 2.0256 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7031WARNING: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 9ms/step - loss: 2.1276 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0381 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0153 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9264 - lr: 1.0000e-04
Epoch 75/200
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 9ms/step - loss: 2.0747 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8333 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0941 - lr: 1.0000e-04
Epoch 78/200
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 9ms/step - loss: 1.8439 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6746 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7281 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6421 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8200 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2162WARNING: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 9ms/step - loss: 1.8301 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7069 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0095 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0529 - lr: 1.0000e-04
Epoch 87/200
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 9ms/step - loss: 1.7841 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0361 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8736 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8791 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5223WARNING: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 9ms/step - loss: 1.8275 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8276 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6703 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0095 - lr: 1.0000e-04
Epoch 95/200
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 9ms/step - loss: 1.8600 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6582 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6593 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7550 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5415WARNING: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 9ms/step - loss: 1.6726 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6087 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6630WARNING: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 9ms/step - loss: 2.0668 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8445 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7371WARNING: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 9ms/step - loss: 1.7815 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8891WARNING: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 9ms/step - loss: 1.8914 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5818 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8814WARNING: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 9ms/step - loss: 1.7589 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8648WARNING: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 9ms/step - loss: 1.6796 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7195 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2027WARNING: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 9ms/step - loss: 1.9569 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9543 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9115 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7330 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7353 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5439 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4398 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5969 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8358WARNING: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 9ms/step - loss: 1.7036 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3278WARNING: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 9ms/step - loss: 1.6462 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5999WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4773 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6395 - lr: 1.2246e-05
Epoch 122/200
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 9ms/step - loss: 1.5992 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5882WARNING: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 9ms/step - loss: 1.5105 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7745 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4980 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4289 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5189 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7220 - lr: 6.0810e-06
Epoch 129/200
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 9ms/step - loss: 1.5572 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4009 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6047 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5745 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7595 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6603 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6541 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5125 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5398 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7708 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4792 - lr: 2.0242e-06
Epoch 140/200
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 9ms/step - loss: 1.4532 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4980 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5313 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5765 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4295 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6080 - lr: 1.1109e-06
Epoch 146/200
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: 1.7725 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6359 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4855 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7860 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5512 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5606 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2749WARNING: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: 1.6483 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6846 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6682 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5293 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8774WARNING: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 9ms/step - loss: 1.6006 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6579 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5659 - lr: 3.0275e-07
Epoch 159/200
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 9ms/step - loss: 1.4082 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6931 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3803WARNING: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 9ms/step - loss: 1.6804 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4914 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3758WARNING: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 9ms/step - loss: 1.6962 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5280 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8247WARNING: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 9ms/step - loss: 1.5006 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6935 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4633 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6177 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2175WARNING: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 9ms/step - loss: 1.5928 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3245WARNING: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: 1.6572 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3776WARNING: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 9ms/step - loss: 1.5579 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5642 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7545 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6935 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4757 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6163 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5366WARNING: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 9ms/step - loss: 1.7922 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7396 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3718 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6244 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6265 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3321WARNING: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: 1.5904 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2924WARNING: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: 1.4149 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5408 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7249 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7208 - lr: 1.6659e-08
Epoch 188/200
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 9ms/step - loss: 1.5784 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5790 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5108 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9273 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3935WARNING: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 9ms/step - loss: 1.7244 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6567WARNING: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 9ms/step - loss: 1.8369 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7140 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5829 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5633WARNING: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 9ms/step - loss: 1.4742 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6588WARNING: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 9ms/step - loss: 1.4933 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6798 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5319 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6877 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 128, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 3, 'pool_size1': 3, 'stride_size0': 1, 'stride_size1': 3, 'dropout0': 0.2, 'dropout1': 0.0}
1/39 [..............................] - ETA: 8s
20/39 [==============>...............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
[503 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |128 |filter_unit0
256 |256 |filter_unit1
64 |64 |filter_unit2
32 |32 |filter_unit3
2 |2 |kernel_size0
5 |5 |kernel_size1
3 |3 |kernel_size2
2 |2 |kernel_size3
4 |4 |pool_size0
5 |5 |pool_size1
1 |1 |pool_size2
2 |2 |pool_size3
3 |3 |stride_size0
1 |1 |stride_size1
3 |3 |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
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
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Trial 1 Complete [00h 00m 05s]
val_loss: 19.75177001953125
Best val_loss So Far: 19.75177001953125
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
1 |2 |kernel_size0
3 |4 |pool_size0
5 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.01467514038086
Best val_loss So Far: 19.75177001953125
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |128 |filter_unit0
32 |256 |filter_unit1
64 |64 |filter_unit2
64 |32 |filter_unit3
1 |2 |kernel_size0
3 |5 |kernel_size1
1 |3 |kernel_size2
5 |2 |kernel_size3
5 |4 |pool_size0
5 |5 |pool_size1
4 |1 |pool_size2
2 |2 |pool_size3
1 |3 |stride_size0
2 |1 |stride_size1
5 |3 |stride_size2
5 |4 |stride_size3
0.2 |0 |dropout0
0 |0.3 |dropout1
0.1 |0 |dropout2
0.4 |0.1 |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.737018585205078
Best val_loss So Far: 19.737018585205078
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
128 |32 |filter_unit1
256 |64 |filter_unit2
128 |64 |filter_unit3
32 |None |filter_unit4
3 |1 |kernel_size0
1 |3 |kernel_size1
5 |1 |kernel_size2
5 |5 |kernel_size3
3 |None |kernel_size4
1 |5 |pool_size0
5 |5 |pool_size1
3 |4 |pool_size2
3 |2 |pool_size3
2 |None |pool_size4
3 |1 |stride_size0
3 |2 |stride_size1
3 |5 |stride_size2
4 |5 |stride_size3
3 |None |stride_size4
0 |0.2 |dropout0
0 |0 |dropout1
0 |0.1 |dropout2
0.3 |0.4 |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 07s]
val_loss: 19.40521812438965
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |32 |filter_unit0
64 |128 |filter_unit1
256 |256 |filter_unit2
1 |3 |kernel_size0
4 |1 |kernel_size1
3 |5 |kernel_size2
1 |1 |pool_size0
5 |5 |pool_size1
4 |3 |pool_size2
5 |3 |stride_size0
5 |3 |stride_size1
2 |3 |stride_size2
0.2 |0 |dropout0
0.2 |0 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.43857192993164
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |32 |filter_unit0
32 |128 |filter_unit1
128 |256 |filter_unit2
32 |128 |filter_unit3
3 |3 |kernel_size0
1 |1 |kernel_size1
1 |5 |kernel_size2
1 |5 |kernel_size3
2 |1 |pool_size0
4 |5 |pool_size1
2 |3 |pool_size2
4 |3 |pool_size3
4 |3 |stride_size0
2 |3 |stride_size1
2 |3 |stride_size2
5 |4 |stride_size3
0.2 |0 |dropout0
0 |0 |dropout1
0.4 |0 |dropout2
0.4 |0.3 |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.472013473510742
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 30s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
64 |256 |filter_unit2
32 |128 |filter_unit3
64 |32 |filter_unit4
5 |3 |kernel_size0
2 |1 |kernel_size1
2 |5 |kernel_size2
4 |5 |kernel_size3
3 |3 |kernel_size4
1 |1 |pool_size0
4 |5 |pool_size1
2 |3 |pool_size2
3 |3 |pool_size3
5 |2 |pool_size4
3 |3 |stride_size0
4 |3 |stride_size1
3 |3 |stride_size2
1 |4 |stride_size3
2 |3 |stride_size4
0 |0 |dropout0
0 |0 |dropout1
0.3 |0 |dropout2
0 |0.3 |dropout3
0.1 |0.2 |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.759733200073242
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 36s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
64 |256 |filter_unit2
3 |3 |kernel_size0
2 |1 |kernel_size1
3 |5 |kernel_size2
2 |1 |pool_size0
1 |5 |pool_size1
3 |3 |pool_size2
1 |3 |stride_size0
5 |3 |stride_size1
5 |3 |stride_size2
0.1 |0 |dropout0
0.3 |0 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.510753631591797
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 40s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
256 |32 |filter_unit0
64 |128 |filter_unit1
1 |3 |kernel_size0
4 |1 |kernel_size1
3 |1 |pool_size0
2 |5 |pool_size1
5 |3 |stride_size0
3 |3 |stride_size1
0.3 |0 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 20.101720809936523
Best val_loss So Far: 19.40521812438965
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |32 |filter_unit0
64 |128 |filter_unit1
2 |3 |kernel_size0
4 |1 |kernel_size1
4 |1 |pool_size0
4 |5 |pool_size1
1 |3 |stride_size0
5 |3 |stride_size1
0.3 |0 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 18.664026260375977
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |128 |filter_unit0
32 |64 |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
2 |2 |kernel_size0
2 |4 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |4 |pool_size0
1 |4 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
1 |1 |stride_size0
2 |5 |stride_size1
3 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.3 |0.3 |dropout0
0.4 |0.1 |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
2023-11-24 12:55:56.953773: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : INVALID_ARGUMENT: allow_missing_files was set to false and /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 did not exist.NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 not found
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} allow_missing_files was set to false and /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 did not exist.NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 not found [Op:MergeV2Checkpoints]
[2K
[2K
Trial 11 Complete [00h 00m 07s]
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 00m 53s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |128 |filter_unit0
3 |2 |kernel_size0
5 |4 |pool_size0
1 |1 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.09256935119629
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
2 |2 |kernel_size0
1 |4 |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
1 |4 |pool_size0
3 |4 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |1 |stride_size0
5 |5 |stride_size1
3 |None |stride_size2
4 |None |stride_size3
0.3 |0.3 |dropout0
0.2 |0.1 |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.545331954956055
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |128 |filter_unit0
2 |2 |kernel_size0
2 |4 |pool_size0
3 |1 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.681554794311523
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
32 |64 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
1 |4 |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
3 |4 |pool_size0
1 |4 |pool_size1
3 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
4 |1 |stride_size0
1 |5 |stride_size1
3 |None |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.3 |0.3 |dropout0
0.2 |0.1 |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.795242309570312
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 10s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |128 |filter_unit0
256 |64 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
3 |2 |kernel_size0
5 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |4 |pool_size0
1 |4 |pool_size1
1 |None |pool_size2
2 |None |pool_size3
3 |1 |stride_size0
1 |5 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.3 |0.3 |dropout0
0.2 |0.1 |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.884000778198242
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 16s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |128 |filter_unit0
256 |64 |filter_unit1
256 |None |filter_unit2
1 |2 |kernel_size0
2 |4 |kernel_size1
1 |None |kernel_size2
4 |4 |pool_size0
1 |4 |pool_size1
4 |None |pool_size2
1 |1 |stride_size0
5 |5 |stride_size1
5 |None |stride_size2
0.3 |0.3 |dropout0
0.3 |0.1 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.922443389892578
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |128 |filter_unit0
32 |64 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
1 |2 |kernel_size0
2 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |4 |pool_size0
2 |4 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
1 |1 |stride_size0
1 |5 |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0.2 |0.1 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.662578582763672
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 26s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
3 |2 |kernel_size0
4 |4 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
2 |4 |pool_size0
1 |4 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
1 |1 |stride_size0
2 |5 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.3 |dropout0
0 |0.1 |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.730361938476562
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 31s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |128 |filter_unit0
256 |64 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
2 |2 |kernel_size0
5 |4 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
2 |4 |pool_size0
5 |4 |pool_size1
2 |None |pool_size2
4 |None |pool_size3
1 |1 |stride_size0
4 |5 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.2 |0.3 |dropout0
0.2 |0.1 |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.048002243041992
Best val_loss So Far: 18.664026260375977
Total elapsed time: 00h 01m 37s
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 64, 'kernel_size0': 2, 'kernel_size1': 4, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 1, 'stride_size1': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 5s - loss: 6.1824
4/4 [==============================] - ETA: 0s - loss: 6.9412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 32ms/step - loss: 6.9412 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6031WARNING: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 10ms/step - loss: 6.5309 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.8509 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7644WARNING: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 10ms/step - loss: 5.3833 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.2735 - lr: 1.0000e-04
Epoch 6/200
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 10ms/step - loss: 5.3478 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.1233 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5688WARNING: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 10ms/step - loss: 4.9625 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.9052 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3501WARNING: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 10ms/step - loss: 4.9849 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.5941 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.5504 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.7402 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.6977 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1689WARNING: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 10ms/step - loss: 4.2258 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.2469 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.2994 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.2174 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0351 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8755 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2007WARNING: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 10ms/step - loss: 3.7566 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0848 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1120WARNING: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 10ms/step - loss: 3.7646 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6025WARNING: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 10ms/step - loss: 3.5538 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.6680 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5823 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5729WARNING: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 10ms/step - loss: 3.5662 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1166WARNING: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 10ms/step - loss: 3.7808 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3718 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1497WARNING: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 10ms/step - loss: 3.3280 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3683 - lr: 1.0000e-04
Epoch 32/200
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 10ms/step - loss: 3.1438 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0962WARNING: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 10ms/step - loss: 3.3786 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0472 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0418 - lr: 1.0000e-04
Epoch 36/200
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 10ms/step - loss: 3.0462 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5983WARNING: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 10ms/step - loss: 3.1541 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9912 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0259 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7634 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9965 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1107 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - 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 10ms/step - loss: 2.9102 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7988 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8482 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7431 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4983 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6096 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6219 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7594 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8307 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4488 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7517WARNING: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 10ms/step - loss: 2.3933 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5982 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4033 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5438 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7259WARNING: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 10ms/step - loss: 2.6320 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3499 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4283 - lr: 1.0000e-04
Epoch 60/200
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 10ms/step - loss: 2.4453 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5341 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5330WARNING: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 10ms/step - loss: 2.4503 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4139 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4833 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2655 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8844WARNING: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 10ms/step - loss: 2.3148 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1572 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6220 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5568 - lr: 1.0000e-04
Epoch 70/200
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 10ms/step - loss: 2.3984 - lr: 1.0000e-04
Epoch 71/200
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 10ms/step - loss: 2.3482 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2037 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9542 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4908WARNING: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 10ms/step - loss: 2.2687 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1461 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7264WARNING: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 [==============================] - 0s 10ms/step - loss: 2.1861 - lr: 1.0000e-04
Epoch 77/200
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 10ms/step - loss: 2.1458 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2603 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0105 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9120WARNING: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 10ms/step - loss: 2.2122 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3725WARNING: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 10ms/step - loss: 2.1832 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1169 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0480 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2099 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0163 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7833WARNING: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 10ms/step - loss: 2.0227 - lr: 1.0000e-04
Epoch 87/200
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 10ms/step - loss: 2.0647 - lr: 1.0000e-04
Epoch 88/200
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 10ms/step - loss: 2.2136 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7230WARNING: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 10ms/step - loss: 2.0167 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1956 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1165 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0343 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1239 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2061 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0310 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0759 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8309 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6928 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0944 - lr: 1.0000e-04
Epoch 100/200
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 10ms/step - loss: 1.9143 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0547 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1300 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7488WARNING: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 10ms/step - loss: 1.8908 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2666WARNING: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 10ms/step - loss: 2.1198 - lr: 6.7032e-05
Epoch 105/200
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 10ms/step - loss: 1.9770 - lr: 6.0653e-05
Epoch 106/200
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 10ms/step - loss: 2.1273 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8891 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9481 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8179 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8862 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8064 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7648 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8717 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2547WARNING: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 10ms/step - loss: 1.9406 - lr: 2.4660e-05
Epoch 115/200
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 10ms/step - loss: 2.1163 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0636 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0771 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8424 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6809 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - 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 10ms/step - loss: 2.0835 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6999 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8515 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0171 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8605 - lr: 9.0718e-06
Epoch 125/200
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 10ms/step - loss: 2.1116 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0956 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7310 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9894 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7764 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7775 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4700WARNING: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 10ms/step - loss: 1.8888 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6317WARNING: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 10ms/step - loss: 1.9257 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8404 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4897 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0304 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8450 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8070WARNING: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 10ms/step - loss: 1.8430 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7402 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8071 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7399WARNING: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 10ms/step - loss: 1.8784 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8799 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9047 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - 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 10ms/step - loss: 1.9370 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9762 - lr: 1.2277e-06
Epoch 145/200
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 11ms/step - loss: 2.0872 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8163 - lr: 1.0052e-06
Epoch 147/200
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 10ms/step - loss: 1.8914 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0209 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7999WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0371 - lr: 7.4466e-07
Epoch 150/200
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 10ms/step - loss: 1.9212 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8941 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8495 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9237 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9807WARNING: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 10ms/step - loss: 1.9167 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7048 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0468WARNING: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 10ms/step - loss: 1.8757 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - 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 10ms/step - loss: 2.0098 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7932 - lr: 3.0275e-07
Epoch 159/200
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 10ms/step - loss: 1.9137 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8753 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8549 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8986 - lr: 2.0294e-07
Epoch 163/200
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 10ms/step - loss: 1.9168 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8580WARNING: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 10ms/step - loss: 1.9023 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9172 - lr: 1.5034e-07
Epoch 166/200
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 10ms/step - loss: 1.9635 - lr: 1.3604e-07
Epoch 167/200
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 10ms/step - loss: 1.8815 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0277WARNING: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 10ms/step - loss: 1.8028 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7721 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9739 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7653 - lr: 8.2510e-08
Epoch 172/200
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 10ms/step - loss: 1.9642 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0280 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0834 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8788 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9259 - lr: 5.0045e-08
Epoch 177/200
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 10ms/step - loss: 1.8338 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9272 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6277WARNING: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 10ms/step - loss: 1.7796 - lr: 3.7074e-08
Epoch 180/200
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 10ms/step - loss: 1.8489 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9672 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9061 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9337 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1451 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0016 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9838 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0344 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0079 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0966 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7374WARNING: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 10ms/step - loss: 1.8591 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7131WARNING: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 10ms/step - loss: 1.8896 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1279 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4710WARNING: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 10ms/step - loss: 1.8300 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7383 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8283 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3038WARNING: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 10ms/step - loss: 2.0613 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7737 - lr: 6.1283e-09
Epoch 198/200
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 10ms/step - loss: 1.9859 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6634 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7757 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 64, 'kernel_size0': 2, 'kernel_size1': 4, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 1, 'stride_size1': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.1}
1/39 [..............................] - ETA: 8s
18/39 [============>.................] - ETA: 0s
35/39 [=========================>....] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
[504 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |64 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
32 |32 |filter_unit3
1 |1 |kernel_size0
2 |2 |kernel_size1
1 |1 |kernel_size2
4 |4 |kernel_size3
1 |1 |pool_size0
1 |1 |pool_size1
1 |1 |pool_size2
2 |2 |pool_size3
4 |4 |stride_size0
3 |3 |stride_size1
2 |2 |stride_size2
1 |1 |stride_size3
0.2 |0.2 |dropout0
0.2 |0.2 |dropout1
0 |0 |dropout2
0.3 |0.3 |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 05s]
val_loss: 19.211811065673828
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
32 |128 |filter_unit1
256 |128 |filter_unit2
256 |32 |filter_unit3
3 |1 |kernel_size0
1 |2 |kernel_size1
3 |1 |kernel_size2
1 |4 |kernel_size3
1 |1 |pool_size0
3 |1 |pool_size1
3 |1 |pool_size2
2 |2 |pool_size3
4 |4 |stride_size0
4 |3 |stride_size1
3 |2 |stride_size2
1 |1 |stride_size3
0.2 |0.2 |dropout0
0.3 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.3 |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.562368392944336
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
5 |1 |kernel_size0
2 |1 |pool_size0
2 |4 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.791166305541992
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
32 |128 |filter_unit2
32 |32 |filter_unit3
256 |None |filter_unit4
3 |1 |kernel_size0
3 |2 |kernel_size1
5 |1 |kernel_size2
5 |4 |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
3 |1 |pool_size1
4 |1 |pool_size2
1 |2 |pool_size3
1 |None |pool_size4
1 |4 |stride_size0
5 |3 |stride_size1
1 |2 |stride_size2
1 |1 |stride_size3
5 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |0.2 |dropout1
0 |0 |dropout2
0.4 |0.3 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.91457748413086
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
4 |1 |kernel_size0
3 |1 |pool_size0
1 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.379470825195312
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
64 |128 |filter_unit1
32 |128 |filter_unit2
32 |32 |filter_unit3
128 |None |filter_unit4
5 |1 |kernel_size0
2 |2 |kernel_size1
4 |1 |kernel_size2
1 |4 |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
5 |1 |pool_size1
4 |1 |pool_size2
4 |2 |pool_size3
3 |None |pool_size4
3 |4 |stride_size0
3 |3 |stride_size1
5 |2 |stride_size2
4 |1 |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.4 |0.2 |dropout1
0.2 |0 |dropout2
0.3 |0.3 |dropout3
0 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.784122467041016
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
64 |128 |filter_unit2
4 |1 |kernel_size0
4 |2 |kernel_size1
1 |1 |kernel_size2
4 |1 |pool_size0
1 |1 |pool_size1
1 |1 |pool_size2
2 |4 |stride_size0
5 |3 |stride_size1
4 |2 |stride_size2
0.2 |0.2 |dropout0
0.4 |0.2 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 19.679170608520508
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
128 |128 |filter_unit2
5 |1 |kernel_size0
5 |2 |kernel_size1
1 |1 |kernel_size2
2 |1 |pool_size0
2 |1 |pool_size1
1 |1 |pool_size2
1 |4 |stride_size0
2 |3 |stride_size1
5 |2 |stride_size2
0 |0.2 |dropout0
0.3 |0.2 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.54720115661621
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
256 |128 |filter_unit2
1 |1 |kernel_size0
5 |2 |kernel_size1
3 |1 |kernel_size2
5 |1 |pool_size0
4 |1 |pool_size1
1 |1 |pool_size2
4 |4 |stride_size0
1 |3 |stride_size1
5 |2 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.2 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.92865753173828
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
64 |128 |filter_unit2
32 |32 |filter_unit3
256 |None |filter_unit4
2 |1 |kernel_size0
3 |2 |kernel_size1
5 |1 |kernel_size2
4 |4 |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
2 |1 |pool_size1
5 |1 |pool_size2
5 |2 |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
5 |3 |stride_size1
3 |2 |stride_size2
4 |1 |stride_size3
5 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.3 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 19.707508087158203
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
1 |1 |kernel_size0
3 |1 |pool_size0
4 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.017221450805664
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 00m 51s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
4 |1 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |3 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |4 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.66107940673828
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
2 |1 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |3 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |4 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0.4 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.83911895751953
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 01s
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
5 |1 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
2 |3 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0.3 |0.3 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.676319122314453
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
4 |1 |kernel_size0
2 |None |kernel_size1
4 |3 |pool_size0
4 |None |pool_size1
2 |4 |stride_size0
5 |None |stride_size1
0.1 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.531339645385742
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 10s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
4 |1 |kernel_size0
4 |3 |pool_size0
2 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 20.945741653442383
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 13s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
1 |1 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
1 |3 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
4 |4 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.4 |0.3 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.71560287475586
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |1 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
4 |3 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
4 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
0.4 |0.3 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 19.337020874023438
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 22s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
4 |1 |kernel_size0
4 |None |kernel_size1
2 |3 |pool_size0
4 |None |pool_size1
3 |4 |stride_size0
4 |None |stride_size1
0.1 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.795021057128906
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 25s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
1 |1 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
3 |3 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
4 |4 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.55817222595215
Best val_loss So Far: 19.017221450805664
Total elapsed time: 00h 01m 30s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 3, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 26.6550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 12ms/step - loss: 25.2403 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 24.5615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 25.0388 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 24.6321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.8182 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 25.1965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.6164 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 25.2342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.4010 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 24.4518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 24.1933 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 23.4007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.9985 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 22.9747WARNING: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 4ms/step - loss: 23.7623 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 24.1106WARNING: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 4ms/step - loss: 23.5646 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 23.9409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 23.3832 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 22.1057WARNING: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: 23.1796 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 24.0203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.9524 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 24.6775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.7608 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 21.3808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.5279 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 21.2621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.3130 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 22.1531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.1305 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 21.3818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.9248 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 23.0373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.7398 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 22.0163WARNING: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: 21.5277 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 20.7586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.3245 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 22.3241WARNING: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: 21.1166 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 20.9384WARNING: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 4ms/step - loss: 20.8944 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 22.5008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.6800 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 19.8350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.5095 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 21.2567WARNING: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 4ms/step - loss: 20.2617 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 19.2145WARNING: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: 20.0772 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 19.9784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.8953 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 19.7313WARNING: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: 19.7061 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 19.9803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.4675 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 18.7990WARNING: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 4ms/step - loss: 19.2838 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 20.1912WARNING: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 4ms/step - loss: 19.0695 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 19.4279WARNING: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 4ms/step - loss: 18.8451 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 19.1788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.6737 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 17.4368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.4854 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 17.6746WARNING: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 4ms/step - loss: 18.2533 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 17.8143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.0383 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 17.8024WARNING: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 4ms/step - loss: 17.8279 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.6362 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 18.8632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.4730 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.1966 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.0357 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 16.6365WARNING: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: 16.8500 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.6202 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 17.2899WARNING: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 4ms/step - loss: 16.4014 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.2088 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 16.7038WARNING: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 4ms/step - loss: 15.9688 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2417WARNING: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: 15.7949 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0440WARNING: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 4ms/step - loss: 15.5717 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 15.5964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.3745 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.1733 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6552WARNING: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 4ms/step - loss: 14.9531 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.7706 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.5795 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.3432 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.1234 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 15.7873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.9631 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.7682 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5744WARNING: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 4ms/step - loss: 13.5600 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 15.4318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.3584 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.1363 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.9606 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8174 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6135 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.4546 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8709WARNING: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 4ms/step - loss: 12.2721 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2873WARNING: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: 12.1318 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6702WARNING: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 4ms/step - loss: 11.9831 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.7674 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.6397 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3798WARNING: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 4ms/step - loss: 11.4716 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.3017 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.1890 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.0167 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.8361 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.7095 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9718WARNING: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 4ms/step - loss: 10.5713 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9379WARNING: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 4ms/step - loss: 10.4578 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4313WARNING: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 4ms/step - loss: 10.2927 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1545 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.0152 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.8551 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9161WARNING: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: 9.7282 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.6375 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.4772 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6534WARNING: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 4ms/step - loss: 9.4171 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2428 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.1762 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0887 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1452WARNING: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 4ms/step - loss: 9.0100 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6460WARNING: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 4ms/step - loss: 8.8151 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2972WARNING: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 4ms/step - loss: 8.7897 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.6529 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2563WARNING: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 4ms/step - loss: 8.5759 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5162 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.3722 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1846 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.3296 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1791 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5359WARNING: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 4ms/step - loss: 8.1156 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9816 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4535WARNING: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 4ms/step - loss: 7.9802 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8698 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.7615 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2772WARNING: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 4ms/step - loss: 7.8316 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6982 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5790 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6237WARNING: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: 7.5329 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6302 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5821 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5349WARNING: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: 7.5024 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5572 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9882WARNING: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 4ms/step - loss: 7.4261 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4519 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4817 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4821 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1318WARNING: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 4ms/step - loss: 7.4145 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7038WARNING: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 4ms/step - loss: 7.3201 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4310 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4084 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8555WARNING: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 4ms/step - loss: 7.3812 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3808 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1604 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3242 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4387 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3417 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2642 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3030 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0939WARNING: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 4ms/step - loss: 7.3043 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2462 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2690 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3783 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4258WARNING: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 4ms/step - loss: 7.1399 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1765 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2662 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7656WARNING: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: 7.2311 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4379WARNING: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: 7.2130 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5367WARNING: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 4ms/step - loss: 7.3018 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2395 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2150WARNING: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: 7.2290 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2031 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1879 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2199 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2866 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2573 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5662WARNING: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 4ms/step - loss: 7.3534 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5667WARNING: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 4ms/step - loss: 7.3135 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7746WARNING: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 4ms/step - loss: 7.2328 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2550 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3347 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4819WARNING: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 4ms/step - loss: 7.3018 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0352WARNING: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 4ms/step - loss: 7.2896 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3082 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1972 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2490 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2362 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2917 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2728 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3543 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3277 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2763WARNING: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 4ms/step - loss: 7.2431 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2717WARNING: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 4ms/step - loss: 7.2204 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8733WARNING: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 4ms/step - loss: 7.3086 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2522 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5370WARNING: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 4ms/step - loss: 7.2251 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0199WARNING: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 4ms/step - loss: 7.3311 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2619 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3005 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2801 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3184 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2944 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6201WARNING: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 4ms/step - loss: 7.2823 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0971WARNING: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 4ms/step - loss: 7.2566 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9111WARNING: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 4ms/step - loss: 7.2687 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8760WARNING: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 4ms/step - loss: 7.2928 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2315 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2848 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3014 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3323WARNING: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: 7.2803 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2454 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3429 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2816 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2634 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2236 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2869 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1572 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3145 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2874 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2658 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2133WARNING: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 4ms/step - loss: 7.3046 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2745 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2645 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2922 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5051WARNING: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 4ms/step - loss: 7.2512 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2375 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3289 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5630WARNING: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 4ms/step - loss: 7.1876 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2328 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0630 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8355WARNING: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 4ms/step - loss: 7.2416 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2652 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 3, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
504 Pilot02 1 cnn1d ... -5.412443 0.035727 0.207583
[505 rows x 18 columns]
imu_rr_Pilot02_id1_combi10.0-12.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (120, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
1 |1 |kernel_size0
5 |5 |kernel_size1
4 |4 |kernel_size2
2 |2 |kernel_size3
5 |5 |pool_size0
4 |4 |pool_size1
4 |4 |pool_size2
2 |2 |pool_size3
3 |3 |stride_size0
5 |5 |stride_size1
4 |4 |stride_size2
4 |4 |stride_size3
0.1 |0.1 |dropout0
0.2 |0.2 |dropout1
0.2 |0.2 |dropout2
0.4 |0.4 |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: 19.30328941345215
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
32 |None |filter_unit4
2 |1 |kernel_size0
5 |5 |kernel_size1
1 |4 |kernel_size2
4 |2 |kernel_size3
3 |None |kernel_size4
1 |5 |pool_size0
5 |4 |pool_size1
3 |4 |pool_size2
1 |2 |pool_size3
1 |None |pool_size4
1 |3 |stride_size0
1 |5 |stride_size1
3 |4 |stride_size2
1 |4 |stride_size3
5 |None |stride_size4
0.3 |0.1 |dropout0
0.2 |0.2 |dropout1
0.4 |0.2 |dropout2
0.3 |0.4 |dropout3
0.4 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_end` time: 0.0276s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_end` time: 0.0276s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 07s]
val_loss: 19.7231388092041
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 13s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
2 |1 |kernel_size0
4 |5 |pool_size0
1 |3 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 18.929906845092773
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
2 |2 |kernel_size0
2 |None |kernel_size1
1 |4 |pool_size0
5 |None |pool_size1
3 |1 |stride_size0
1 |None |stride_size1
0 |0.4 |dropout0
0.3 |None |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: 0.0078s). 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: 0.0078s). Check your callbacks.
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.90220069885254
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
3 |2 |kernel_size0
4 |None |kernel_size1
1 |4 |pool_size0
2 |None |pool_size1
2 |1 |stride_size0
2 |None |stride_size1
0.3 |0.4 |dropout0
0.1 |None |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0036s vs `on_train_batch_end` time: 0.0072s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0036s vs `on_train_batch_end` time: 0.0072s). Check your callbacks.
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.604572296142578
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
5 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
3 |4 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
5 |1 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0.4 |0.4 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.3 |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: 0.0062s). 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: 0.0062s). Check your callbacks.
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.61349105834961
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
2 |2 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
2 |4 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
1 |None |pool_size3
4 |None |pool_size4
4 |1 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.1 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.711301803588867
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
3 |2 |kernel_size0
1 |None |kernel_size1
2 |4 |pool_size0
5 |None |pool_size1
1 |1 |stride_size0
1 |None |stride_size1
0.4 |0.4 |dropout0
0.4 |None |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: 0.0092s). 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: 0.0092s). Check your callbacks.
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.628690719604492
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
5 |2 |kernel_size0
2 |None |kernel_size1
2 |4 |pool_size0
2 |None |pool_size1
5 |1 |stride_size0
1 |None |stride_size1
0.4 |0.4 |dropout0
0.4 |None |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: 0.0043s). 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: 0.0043s). Check your callbacks.
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.309457778930664
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
4 |2 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
2 |4 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
3 |1 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.2 |0.4 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.912324905395508
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 44s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |2 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |4 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
1 |1 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
0 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.885576248168945
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
4 |2 |kernel_size0
4 |None |kernel_size1
3 |4 |pool_size0
2 |None |pool_size1
4 |1 |stride_size0
2 |None |stride_size1
0 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.67051124572754
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 52s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
1 |2 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |4 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
5 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.2 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 20.951171875
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
1 |2 |kernel_size0
1 |None |kernel_size1
3 |4 |pool_size0
2 |None |pool_size1
4 |1 |stride_size0
3 |None |stride_size1
0.4 |0.4 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 21.108701705932617
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 00m 59s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
4 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
2 |4 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.3 |0.4 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.372743606567383
Best val_loss So Far: 18.929906845092773
Total elapsed time: 00h 01m 03s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |2 |kernel_size0
1 |4 |pool_size0
1 |1 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 18.378219604492188
Best val_loss So Far: 18.378219604492188
Total elapsed time: 00h 01m 06s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
2 |1 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
4 |1 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
3 |1 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.66948699951172
Best val_loss So Far: 18.378219604492188
Total elapsed time: 00h 01m 11s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
3 |1 |kernel_size0
4 |None |kernel_size1
1 |1 |pool_size0
5 |None |pool_size1
1 |1 |stride_size0
1 |None |stride_size1
0.4 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 20.11353874206543
Best val_loss So Far: 18.378219604492188
Total elapsed time: 00h 01m 13s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
5 |1 |kernel_size0
5 |None |kernel_size1
5 |1 |pool_size0
3 |None |pool_size1
3 |1 |stride_size0
3 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |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: 0.0032s). 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: 0.0032s). Check your callbacks.
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.275876998901367
Best val_loss So Far: 18.378219604492188
Total elapsed time: 00h 01m 17s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
5 |1 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
1 |1 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |1 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.4 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0074s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0074s). Check your callbacks.
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.482507705688477
Best val_loss So Far: 18.378219604492188
Total elapsed time: 00h 01m 21s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 1, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 24.3269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 23.9532 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 23.7562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 23.7866 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 23.8153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 23.6293 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 22.9126WARNING: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 5ms/step - loss: 23.4288 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 23.5186WARNING: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 5ms/step - loss: 23.2729 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 22.8976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 23.0649 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 23.0231WARNING: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 5ms/step - loss: 22.8855 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 23.3746WARNING: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 5ms/step - loss: 22.7252 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 22.1049WARNING: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 5ms/step - loss: 22.5337 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 21.8419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 22.3634 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 21.5334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 22.1876 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 22.5588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 22.0191 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 22.2237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.8325 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 21.5730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 21.6500 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 21.5823WARNING: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 5ms/step - loss: 21.4774 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 21.6442WARNING: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 4ms/step - loss: 21.2896 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 21.6270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 21.1283 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 21.8853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 20.9425 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 19.9419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.7608 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 20.6837WARNING: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: 20.5997 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 20.8913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.4165 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 20.4710WARNING: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 5ms/step - loss: 20.2377 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 20.6967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.0618 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.8805 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 19.3338WARNING: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 4ms/step - loss: 19.7031 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 19.5619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.5382 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 19.3895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.3475 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 20.3587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.1955 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 19.3514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 18.9994 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 18.7958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.8278 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 18.2406WARNING: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: 18.6436 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 18.5081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.4695 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 18.6450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.2950 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 17.8188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.1082 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 18.1595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.9356 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 18.2903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 17.7600 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 17.2626WARNING: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 4ms/step - loss: 17.5777 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 17.3963 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5349WARNING: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: 17.2312 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.0549 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 16.6689WARNING: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 4ms/step - loss: 16.8662 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 17.0557WARNING: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 4ms/step - loss: 16.7095 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.5704 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9210WARNING: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: 16.3722 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.1791 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.0147 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.8202 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4108WARNING: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 5ms/step - loss: 15.6443 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 15.4554 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 15.5043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.2806 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2847WARNING: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 4ms/step - loss: 15.0985 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 14.3131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.9220 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4074WARNING: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: 14.7473 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.5803 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.4338 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2356WARNING: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 4ms/step - loss: 14.2062 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.0496 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.8698 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.6984 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.5463 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 14.3213WARNING: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 4ms/step - loss: 13.3509 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.1553 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.9954 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8112 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6206 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.4524 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1960WARNING: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: 12.2766 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.0993 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.9177 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1351WARNING: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 5ms/step - loss: 11.7623 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2384WARNING: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: 11.5902 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.4497 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3256WARNING: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 4ms/step - loss: 11.2498 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.0504 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.9711 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2267WARNING: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 4ms/step - loss: 10.7633 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8789WARNING: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 4ms/step - loss: 10.6298 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.4990 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3271 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1902 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3532WARNING: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: 10.0708 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.9715 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.8540 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7086 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5348WARNING: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 5ms/step - loss: 9.5955 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8001WARNING: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 4ms/step - loss: 9.4507 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.3297 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2846 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0829 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9475 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4956WARNING: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 4ms/step - loss: 8.8186 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.7184 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5921 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5810 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4664 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.3690 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9270WARNING: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: 8.2984 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8704WARNING: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: 8.2149 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9393WARNING: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 4ms/step - loss: 8.1269 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0415WARNING: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 4ms/step - loss: 8.0649 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9807WARNING: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 4ms/step - loss: 7.9862 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9811 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.8170 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8379 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.7806 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2870WARNING: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 4ms/step - loss: 7.7864 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9998WARNING: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 4ms/step - loss: 7.7535 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5477WARNING: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 4ms/step - loss: 7.6720 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6218 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0582WARNING: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: 7.6223 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1074WARNING: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 4ms/step - loss: 7.5545 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5420WARNING: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 4ms/step - loss: 7.6002 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5298 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7546WARNING: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 4ms/step - loss: 7.5910 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4763 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5622 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4594 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3241WARNING: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: 7.4311 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8100WARNING: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 4ms/step - loss: 7.4956 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0548WARNING: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: 7.4638 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8711WARNING: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 5ms/step - loss: 7.4186 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4755 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4318 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2774WARNING: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 4ms/step - loss: 7.4632 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5263WARNING: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 4ms/step - loss: 7.4312 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4159 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9810WARNING: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 4ms/step - loss: 7.4173 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3613 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3503 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4147 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0006WARNING: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 5ms/step - loss: 7.4142 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0809WARNING: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 4ms/step - loss: 7.3864 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4306 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4335 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3784 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3561 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4324 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3584 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3672 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3992 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9920WARNING: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 4ms/step - loss: 7.4198 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4394 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8290WARNING: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 4ms/step - loss: 7.3464 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3886 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4585 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3984 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3387 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2584 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3850 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3877 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4178 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3484 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3693 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4233 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3995 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0664WARNING: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 4ms/step - loss: 7.3470 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3757 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7816WARNING: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 5ms/step - loss: 7.2736 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3503 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2341WARNING: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 4ms/step - loss: 7.3862 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3040 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3587 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3043 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3392 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0889WARNING: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 5ms/step - loss: 7.3175 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3586 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3741 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1969 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3221 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6031WARNING: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: 7.3847 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3929 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0367WARNING: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 5ms/step - loss: 7.3123 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4045 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3819 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4247 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6460WARNING: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 5ms/step - loss: 7.3351 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7075WARNING: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 5ms/step - loss: 7.3350 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2727 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3933 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7954WARNING: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 5ms/step - loss: 7.3435 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2827 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3575 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3160 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3912 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8484WARNING: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: 7.2724 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4031 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3812 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3069 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4527 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4272 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3629 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3518 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3890 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9023WARNING: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: 7.3256 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4248 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2756WARNING: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 4ms/step - loss: 7.3592 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3408 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3124WARNING: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 5ms/step - loss: 7.3595 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3726 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3497 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 1, 'dropout0': 0.2}
1/39 [..............................] - ETA: 5s
37/39 [===========================>..] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
504 Pilot02 1 cnn1d ... -5.412443 0.035727 0.207583
505 Pilot02 1 cnn1d ... -7.921437 -0.069339 0.014363
[506 rows x 18 columns]
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, 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