2023-11-24 11:16:11.646081: 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
2023-11-24 11:16:50.843625: 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 11:16:51.183765: 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 11:16:51.183992: 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 11:16:51.762659: 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 11:16:51.762924: 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 11:16:51.763061: 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 11:16:52.270535: 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 11:16:52.270762: 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 11:16:52.270906: 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 11:16:52.271032: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2668 MB memory: -> device: 0, name: Quadro RTX 5000, pci bus id: 0000:0b:00.0, compute capability: 7.5
2023-11-24 11:17:01.589296: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
2023-11-24 11:17:07.206425: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1517ebe53860 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-24 11:17:07.206460: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Quadro RTX 5000, Compute Capability 7.5
2023-11-24 11:17:08.088079: 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 11:17:11.068267: 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.
Namespace(data_input='imu+bvp', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=3, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
Using pre-set data id: 1
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-15.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (121, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-15.0/bayesianoptimization/tuner0.json
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
128 |256 |filter_unit2
32 |128 |filter_unit3
32 |128 |filter_unit4
4 |5 |kernel_size0
4 |5 |kernel_size1
3 |4 |kernel_size2
2 |2 |kernel_size3
3 |4 |kernel_size4
3 |2 |pool_size0
3 |1 |pool_size1
3 |2 |pool_size2
3 |4 |pool_size3
5 |3 |pool_size4
1 |2 |stride_size0
5 |3 |stride_size1
4 |3 |stride_size2
3 |2 |stride_size3
2 |2 |stride_size4
0.2 |0.1 |dropout0
0.4 |0.3 |dropout1
0.2 |0.4 |dropout2
0.4 |0.4 |dropout3
0.4 |0.2 |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0116s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0116s). Check your callbacks.
[2K
Trial 7 Complete [00h 00m 33s]
val_loss: 14.347419738769531
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |128 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
5 |5 |kernel_size0
1 |5 |kernel_size1
5 |4 |kernel_size2
2 |2 |pool_size0
1 |1 |pool_size1
5 |2 |pool_size2
4 |2 |stride_size0
4 |3 |stride_size1
2 |3 |stride_size2
0.3 |0.1 |dropout0
0.1 |0.3 |dropout1
0 |0.4 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 14.486080169677734
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
64 |256 |filter_unit2
32 |128 |filter_unit3
3 |5 |kernel_size0
2 |5 |kernel_size1
3 |4 |kernel_size2
2 |2 |kernel_size3
5 |2 |pool_size0
2 |1 |pool_size1
4 |2 |pool_size2
3 |4 |pool_size3
5 |2 |stride_size0
1 |3 |stride_size1
5 |3 |stride_size2
4 |2 |stride_size3
0.3 |0.1 |dropout0
0.4 |0.3 |dropout1
0 |0.4 |dropout2
0.2 |0.4 |dropout3
[2K
2023-11-24 11:17:34.857372: W tensorflow/tsl/framework/bfc_allocator.cc:366] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature.
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: 0.0041s). 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: 0.0041s). Check your callbacks.
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 13.532288551330566
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 41s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
32 |128 |filter_unit1
256 |256 |filter_unit2
2 |5 |kernel_size0
5 |5 |kernel_size1
5 |4 |kernel_size2
2 |2 |pool_size0
2 |1 |pool_size1
2 |2 |pool_size2
4 |2 |stride_size0
4 |3 |stride_size1
5 |3 |stride_size2
0.2 |0.1 |dropout0
0.1 |0.3 |dropout1
0.4 |0.4 |dropout2
[2K
2023-11-24 11:17:40.486023: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.55GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:17:40.486083: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.55GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 14.726663589477539
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
32 |128 |filter_unit1
128 |256 |filter_unit2
128 |128 |filter_unit3
32 |128 |filter_unit4
5 |5 |kernel_size0
5 |5 |kernel_size1
2 |4 |kernel_size2
3 |2 |kernel_size3
1 |4 |kernel_size4
3 |2 |pool_size0
1 |1 |pool_size1
4 |2 |pool_size2
1 |4 |pool_size3
1 |3 |pool_size4
3 |2 |stride_size0
5 |3 |stride_size1
1 |3 |stride_size2
1 |2 |stride_size3
4 |2 |stride_size4
0.4 |0.1 |dropout0
0.2 |0.3 |dropout1
0 |0.4 |dropout2
0.2 |0.4 |dropout3
0.3 |0.2 |dropout4
[2K
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: 0.0035s). 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: 0.0035s). Check your callbacks.
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 14.50851821899414
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 52s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
5 |5 |kernel_size0
1 |2 |pool_size0
1 |2 |stride_size0
0 |0.1 |dropout0
[2K
2023-11-24 11:17:48.428908: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.05GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:17:48.428964: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.05GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:17:48.436693: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 6.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0045s 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: 0.0045s vs `on_train_batch_end` time: 0.0074s). Check your callbacks.
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 14.631446838378906
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |128 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
128 |128 |filter_unit3
3 |5 |kernel_size0
4 |5 |kernel_size1
3 |4 |kernel_size2
1 |2 |kernel_size3
1 |2 |pool_size0
4 |1 |pool_size1
5 |2 |pool_size2
5 |4 |pool_size3
2 |2 |stride_size0
1 |3 |stride_size1
5 |3 |stride_size2
4 |2 |stride_size3
0.2 |0.1 |dropout0
0.3 |0.3 |dropout1
0.1 |0.4 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 14.525867462158203
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 00s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |128 |filter_unit0
3 |5 |kernel_size0
2 |2 |pool_size0
1 |2 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 02s]
val_loss: 15.539118766784668
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 03s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |128 |filter_unit0
64 |128 |filter_unit1
32 |256 |filter_unit2
1 |5 |kernel_size0
5 |5 |kernel_size1
3 |4 |kernel_size2
3 |2 |pool_size0
4 |1 |pool_size1
1 |2 |pool_size2
5 |2 |stride_size0
2 |3 |stride_size1
4 |3 |stride_size2
0 |0.1 |dropout0
0.2 |0.3 |dropout1
0 |0.4 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 14.565195083618164
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
2 |5 |kernel_size0
5 |5 |kernel_size1
1 |4 |kernel_size2
3 |2 |pool_size0
4 |1 |pool_size1
1 |2 |pool_size2
5 |2 |stride_size0
2 |3 |stride_size1
4 |3 |stride_size2
0.3 |0.1 |dropout0
0.3 |0.3 |dropout1
0.2 |0.4 |dropout2
[2K
2023-11-24 11:18:05.410196: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:18:05.410252: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 14.777721405029297
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |128 |filter_unit0
256 |128 |filter_unit1
64 |256 |filter_unit2
256 |128 |filter_unit3
3 |5 |kernel_size0
2 |5 |kernel_size1
3 |4 |kernel_size2
4 |2 |kernel_size3
4 |2 |pool_size0
1 |1 |pool_size1
5 |2 |pool_size2
1 |4 |pool_size3
3 |2 |stride_size0
2 |3 |stride_size1
3 |3 |stride_size2
2 |2 |stride_size3
0.1 |0.1 |dropout0
0.4 |0.3 |dropout1
0.2 |0.4 |dropout2
0.2 |0.4 |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 13.967873573303223
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 17s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
32 |128 |filter_unit1
32 |256 |filter_unit2
32 |128 |filter_unit3
64 |128 |filter_unit4
2 |5 |kernel_size0
4 |5 |kernel_size1
3 |4 |kernel_size2
5 |2 |kernel_size3
1 |4 |kernel_size4
4 |2 |pool_size0
2 |1 |pool_size1
4 |2 |pool_size2
5 |4 |pool_size3
5 |3 |pool_size4
5 |2 |stride_size0
3 |3 |stride_size1
3 |3 |stride_size2
2 |2 |stride_size3
3 |2 |stride_size4
0.1 |0.1 |dropout0
0.3 |0.3 |dropout1
0.3 |0.4 |dropout2
0 |0.4 |dropout3
0.3 |0.2 |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0051s vs `on_train_batch_end` time: 0.0052s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0051s vs `on_train_batch_end` time: 0.0052s). Check your callbacks.
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 14.508283615112305
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 22s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
64 |128 |filter_unit3
4 |5 |kernel_size0
2 |5 |kernel_size1
3 |4 |kernel_size2
1 |2 |kernel_size3
2 |2 |pool_size0
5 |1 |pool_size1
4 |2 |pool_size2
3 |4 |pool_size3
4 |2 |stride_size0
2 |3 |stride_size1
2 |3 |stride_size2
1 |2 |stride_size3
0.2 |0.1 |dropout0
0.3 |0.3 |dropout1
0 |0.4 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 14.071579933166504
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 28s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
64 |128 |filter_unit1
32 |256 |filter_unit2
64 |128 |filter_unit3
5 |5 |kernel_size0
2 |5 |kernel_size1
3 |4 |kernel_size2
1 |2 |kernel_size3
4 |2 |pool_size0
2 |1 |pool_size1
1 |2 |pool_size2
3 |4 |pool_size3
1 |2 |stride_size0
5 |3 |stride_size1
5 |3 |stride_size2
5 |2 |stride_size3
0 |0.1 |dropout0
0 |0.3 |dropout1
0.1 |0.4 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 14.574382781982422
Best val_loss So Far: 13.035322189331055
Total elapsed time: 00h 01m 33s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 128, 'filter_unit4': 128, 'kernel_size0': 5, 'kernel_size1': 5, 'kernel_size2': 4, 'kernel_size3': 2, 'kernel_size4': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 2, 'pool_size3': 4, 'pool_size4': 3, 'stride_size0': 2, 'stride_size1': 3, 'stride_size2': 3, 'stride_size3': 2, 'stride_size4': 2, 'dropout0': 0.1, 'dropout1': 0.30000000000000004, 'dropout2': 0.4, 'dropout3': 0.4, 'dropout4': 0.2}
Epoch 1/200
2023-11-24 11:18:27.840224: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.08GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:18:27.840280: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.08GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
2023-11-24 11:18:27.846638: W tensorflow/tsl/framework/bfc_allocator.cc:296] Allocator (GPU_0_bfc) ran out of memory trying to allocate 4.59GiB with freed_by_count=0. The caller indicates that this is not a failure, but this may mean that there could be performance gains if more memory were available.
1/4 [======>.......................] - ETA: 12s - loss: 7.7948
4/4 [==============================] - ETA: 0s - loss: 7.5322 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 62ms/step - loss: 7.5322 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.5294 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.3772 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 5.0401 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2666
3/4 [=====================>........] - ETA: 0s - loss: 4.7212WARNING: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 29ms/step - loss: 4.4496 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4743
4/4 [==============================] - ETA: 0s - loss: 3.9854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.9854 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6709
3/4 [=====================>........] - ETA: 0s - loss: 4.2165WARNING: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 29ms/step - loss: 4.0481 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0488
3/4 [=====================>........] - ETA: 0s - loss: 4.1533WARNING: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 28ms/step - loss: 4.0032 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4663
4/4 [==============================] - ETA: 0s - loss: 3.5071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 3.5071 - lr: 1.0000e-04
Epoch 10/200
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 13ms/step - loss: 3.7575 - lr: 1.0000e-04
Epoch 11/200
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 13ms/step - loss: 3.0714 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.4468 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5036WARNING: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 13ms/step - loss: 3.4813 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1742WARNING: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 13ms/step - loss: 3.4800 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1818 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1843 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8235 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7028WARNING: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 13ms/step - loss: 2.9126 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.7104 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.7433 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1245
3/4 [=====================>........] - ETA: 0s - loss: 3.2765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 3.2106 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8655
4/4 [==============================] - ETA: 0s - loss: 2.9135WARNING: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 23ms/step - loss: 2.9135 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7955
3/4 [=====================>........] - ETA: 0s - loss: 2.6704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 2.7789 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9048
3/4 [=====================>........] - ETA: 0s - loss: 2.7464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 2.5518 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.9075 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4859WARNING: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 13ms/step - loss: 2.5106 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.9413 - lr: 1.0000e-04
Epoch 28/200
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 13ms/step - loss: 2.6290 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5002 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.3412 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4098 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8085 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.4048 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5722 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6634
3/4 [=====================>........] - ETA: 0s - loss: 2.4079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 2.4095 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3393
4/4 [==============================] - ETA: 0s - loss: 2.5271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.5271 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2114
3/4 [=====================>........] - ETA: 0s - loss: 2.3497WARNING: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 28ms/step - loss: 2.4178 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9660
3/4 [=====================>........] - ETA: 0s - loss: 2.5813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 2.6415 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1108
4/4 [==============================] - ETA: 0s - loss: 2.3652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 2.3652 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4164WARNING: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 13ms/step - loss: 2.5631 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3131WARNING: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 13ms/step - loss: 2.6122 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.5162 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.1543 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.3208 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6530 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.3122 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3085 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1592 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9909 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3952
4/4 [==============================] - ETA: 0s - loss: 2.1682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1682 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3804
3/4 [=====================>........] - ETA: 0s - loss: 2.2633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 27ms/step - loss: 2.3032 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3313
3/4 [=====================>........] - ETA: 0s - loss: 2.2614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 26ms/step - loss: 2.4347 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6460
3/4 [=====================>........] - ETA: 0s - loss: 2.1674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 2.1097 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4728
3/4 [=====================>........] - ETA: 0s - loss: 2.6268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 26ms/step - loss: 2.5518 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2139WARNING: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 15ms/step - loss: 2.4250 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6450WARNING: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 13ms/step - loss: 2.4152 - lr: 1.0000e-04
Epoch 57/200
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 13ms/step - loss: 2.3256 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8256WARNING: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 13ms/step - loss: 1.9893 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.1415 - lr: 1.0000e-04
Epoch 60/200
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 13ms/step - loss: 2.1038 - lr: 1.0000e-04
Epoch 61/200
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 13ms/step - loss: 2.1804 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9461 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0950 - lr: 1.0000e-04
Epoch 64/200
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 13ms/step - loss: 2.3666 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2590 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4856
3/4 [=====================>........] - ETA: 0s - loss: 2.1633WARNING: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 28ms/step - loss: 2.0951 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1978
4/4 [==============================] - ETA: 0s - loss: 2.0803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0803 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6919
3/4 [=====================>........] - ETA: 0s - loss: 1.8646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.8915 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0856
3/4 [=====================>........] - 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 29ms/step - loss: 2.0625 - lr: 1.0000e-04
Epoch 70/200
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 16ms/step - loss: 1.9173 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.1339 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2739 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2548 - lr: 1.0000e-04
Epoch 74/200
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 13ms/step - loss: 1.8759 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8258 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9584WARNING: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 13ms/step - loss: 1.7480 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0687 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1643 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7292 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9724WARNING: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 13ms/step - loss: 2.0480 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.7889 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4854
3/4 [=====================>........] - ETA: 0s - loss: 2.3074WARNING: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 29ms/step - loss: 2.2629 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8939
4/4 [==============================] - ETA: 0s - loss: 1.9117WARNING: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 22ms/step - loss: 1.9117 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3169
3/4 [=====================>........] - ETA: 0s - loss: 1.8127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 1.9039 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8730
3/4 [=====================>........] - ETA: 0s - loss: 1.8640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.8586 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.0991 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9002 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0400 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0863 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9432 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0880 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9215 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0257 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8369 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0878 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8895
4/4 [==============================] - ETA: 0s - loss: 1.8901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8901 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1616
3/4 [=====================>........] - ETA: 0s - loss: 2.0417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 27ms/step - loss: 2.0417 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2631
3/4 [=====================>........] - ETA: 0s - loss: 1.9079WARNING: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 26ms/step - loss: 1.9655 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7165
3/4 [=====================>........] - ETA: 0s - loss: 1.9418WARNING: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 29ms/step - loss: 1.8254 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7577
3/4 [=====================>........] - ETA: 0s - loss: 1.9938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 1.9953 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5393WARNING: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 15ms/step - loss: 1.8079 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7530 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8446WARNING: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 13ms/step - loss: 1.9459 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9059 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8821WARNING: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 13ms/step - loss: 1.9525 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7909 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9202 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9044 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6941 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9336 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8127 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8725
3/4 [=====================>........] - ETA: 0s - loss: 1.8011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.6739 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5546
4/4 [==============================] - ETA: 0s - loss: 1.6939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.6939 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9448
3/4 [=====================>........] - ETA: 0s - loss: 1.7694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.7726 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7400
3/4 [=====================>........] - ETA: 0s - loss: 1.6955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.7517 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5144WARNING: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 16ms/step - loss: 1.6593 - lr: 2.0190e-05
Epoch 117/200
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 13ms/step - loss: 2.0152 - lr: 1.8268e-05
Epoch 118/200
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 13ms/step - loss: 1.9912 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8577 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8405 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9638 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9265WARNING: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 13ms/step - loss: 1.8706 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0387 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5586 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8353 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1499
4/4 [==============================] - ETA: 0s - loss: 1.9127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 22ms/step - loss: 1.9127 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1665
3/4 [=====================>........] - ETA: 0s - loss: 2.1060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 24ms/step - loss: 2.0248 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2181
3/4 [=====================>........] - 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 26ms/step - loss: 2.0545 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6893
3/4 [=====================>........] - 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 29ms/step - loss: 1.6831 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8807
3/4 [=====================>........] - ETA: 0s - loss: 1.8035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8507 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8140WARNING: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 14ms/step - loss: 2.0301 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7234 - lr: 4.0762e-06
Epoch 133/200
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 13ms/step - loss: 2.0563 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8005WARNING: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 13ms/step - loss: 1.7765 - lr: 3.3373e-06
Epoch 135/200
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 13ms/step - loss: 1.7839 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7746WARNING: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 13ms/step - loss: 1.8556 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9137 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7716 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.9549 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2951
3/4 [=====================>........] - ETA: 0s - loss: 2.0849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 2.0419 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7515
4/4 [==============================] - ETA: 0s - loss: 1.7633WARNING: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 25ms/step - loss: 1.7633 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8503
3/4 [=====================>........] - ETA: 0s - loss: 1.9517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 1.8815 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9823
3/4 [=====================>........] - ETA: 0s - loss: 1.9469WARNING: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 27ms/step - loss: 1.8830 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 1.9212 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4308WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9024 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8633 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7160 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7058WARNING: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 13ms/step - loss: 1.8682 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8927 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6665 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6295WARNING: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 13ms/step - loss: 1.5734 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8934 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9221
4/4 [==============================] - ETA: 0s - loss: 1.7257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 22ms/step - loss: 1.7257 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1190
3/4 [=====================>........] - ETA: 0s - loss: 1.9707WARNING: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 24ms/step - loss: 2.0320 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6402
3/4 [=====================>........] - ETA: 0s - loss: 1.7700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 26ms/step - loss: 1.7669 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7088
3/4 [=====================>........] - ETA: 0s - loss: 1.5732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.5665 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5714
3/4 [=====================>........] - ETA: 0s - loss: 1.8090WARNING: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 23ms/step - loss: 1.7384 - lr: 3.3460e-07
Epoch 158/200
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 14ms/step - loss: 1.9745 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5974WARNING: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 13ms/step - loss: 1.8030 - lr: 2.7394e-07
Epoch 160/200
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 13ms/step - loss: 1.7084 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7424WARNING: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 13ms/step - loss: 1.9284 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9928 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5998 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9571 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7085 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8725 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4554
4/4 [==============================] - 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 20ms/step - loss: 1.7552 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8685
3/4 [=====================>........] - ETA: 0s - loss: 1.7553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 26ms/step - loss: 1.8913 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4623
3/4 [=====================>........] - ETA: 0s - loss: 1.7039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 26ms/step - loss: 1.6743 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1571
3/4 [=====================>........] - ETA: 0s - loss: 1.9392WARNING: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 29ms/step - loss: 1.9425 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9654
3/4 [=====================>........] - ETA: 0s - loss: 1.9494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.9572 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 1.8201 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8474 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0263 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7214 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7992 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8959 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8487 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8137 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9094 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8187
3/4 [=====================>........] - ETA: 0s - loss: 1.7175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 1.7753 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7412
4/4 [==============================] - ETA: 0s - loss: 1.5918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 1.5918 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0036
3/4 [=====================>........] - ETA: 0s - loss: 1.8013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.8944 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8224
3/4 [=====================>........] - ETA: 0s - loss: 2.0814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 28ms/step - loss: 1.9889 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7965
4/4 [==============================] - ETA: 0s - loss: 1.8855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 19ms/step - loss: 1.8855 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8743 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8664 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9406 - lr: 1.5073e-08
Epoch 189/200
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 13ms/step - loss: 1.6783 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8410 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8584WARNING: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 13ms/step - loss: 1.9011 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8022 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9767WARNING: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 13ms/step - loss: 1.9067 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6778 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9151 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8622 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5773
3/4 [=====================>........] - ETA: 0s - loss: 1.6786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.6437 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2595
4/4 [==============================] - ETA: 0s - loss: 1.7536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.7536 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8752
3/4 [=====================>........] - ETA: 0s - loss: 1.7928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.7059 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7961
3/4 [=====================>........] - ETA: 0s - loss: 1.7800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 29ms/step - loss: 1.8803 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 128, 'filter_unit4': 128, 'kernel_size0': 5, 'kernel_size1': 5, 'kernel_size2': 4, 'kernel_size3': 2, 'kernel_size4': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 2, 'pool_size3': 4, 'pool_size4': 3, 'stride_size0': 2, 'stride_size1': 3, 'stride_size2': 3, 'stride_size3': 2, 'stride_size4': 2, 'dropout0': 0.1, 'dropout1': 0.30000000000000004, 'dropout2': 0.4, 'dropout3': 0.4, 'dropout4': 0.2}
1/31 [..............................] - ETA: 13s
11/31 [=========>....................] - ETA: 0s
24/31 [======================>.......] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 1s 6ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
439 Pilot02 8 linreg ... -7.684031 0.108694 0.000098
440 Pilot02 8 linreg ... -6.294962 0.123153 0.000010
441 Pilot02 8 linreg ... -11.103152 0.121706 0.000013
442 Pilot02 8 linreg ... -1.049395 0.027840 0.319607
443 Pilot03 1 cnn1d ... -2.907395 -0.076130 0.017254
[444 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35916, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
1 |1 |kernel_size0
3 |3 |pool_size0
3 |3 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 15.8261137008667
Best val_loss So Far: 15.8261137008667
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
5 |1 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |3 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
4 |3 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.3 |0.2 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 16.364194869995117
Best val_loss So Far: 15.8261137008667
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |256 |filter_unit0
1 |1 |kernel_size0
4 |3 |pool_size0
4 |3 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 17.25873374938965
Best val_loss So Far: 15.8261137008667
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
3 |1 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
3 |3 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
5 |3 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0 |0.2 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 15.625295639038086
Best val_loss So Far: 15.625295639038086
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |128 |filter_unit0
256 |256 |filter_unit1
256 |256 |filter_unit2
32 |256 |filter_unit3
1 |3 |kernel_size0
1 |5 |kernel_size1
4 |2 |kernel_size2
3 |1 |kernel_size3
1 |3 |pool_size0
5 |1 |pool_size1
2 |4 |pool_size2
4 |3 |pool_size3
1 |5 |stride_size0
5 |3 |stride_size1
1 |1 |stride_size2
1 |4 |stride_size3
0.1 |0 |dropout0
0 |0.2 |dropout1
0.3 |0 |dropout2
0.3 |0.4 |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 16.12029457092285
Best val_loss So Far: 15.625295639038086
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
2 |3 |kernel_size0
3 |3 |pool_size0
2 |5 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 16.114587783813477
Best val_loss So Far: 15.625295639038086
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |128 |filter_unit0
32 |256 |filter_unit1
32 |256 |filter_unit2
32 |256 |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
3 |5 |kernel_size1
2 |2 |kernel_size2
2 |1 |kernel_size3
5 |None |kernel_size4
2 |3 |pool_size0
1 |1 |pool_size1
5 |4 |pool_size2
1 |3 |pool_size3
2 |None |pool_size4
1 |5 |stride_size0
4 |3 |stride_size1
1 |1 |stride_size2
1 |4 |stride_size3
1 |None |stride_size4
0.2 |0 |dropout0
0.1 |0.2 |dropout1
0.4 |0 |dropout2
0.4 |0.4 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 16.372074127197266
Best val_loss So Far: 15.625295639038086
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |128 |filter_unit0
4 |3 |kernel_size0
4 |3 |pool_size0
2 |5 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 15.390900611877441
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
4 |4 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
3 |2 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.2 |0.3 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 16.02692413330078
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 41s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
3 |4 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
4 |4 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
5 |2 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.3 |0.3 |dropout0
0.1 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 16.695798873901367
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 44s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
2 |4 |kernel_size0
3 |None |kernel_size1
3 |4 |pool_size0
2 |None |pool_size1
2 |2 |stride_size0
2 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 16.02614974975586
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 48s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
3 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
4 |None |kernel_size4
3 |4 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 16.14841651916504
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 54s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
5 |4 |kernel_size0
3 |4 |pool_size0
4 |2 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 17.161582946777344
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
1 |4 |pool_size0
4 |None |pool_size1
1 |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 14 Complete [00h 00m 04s]
val_loss: 16.686676025390625
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
3 |4 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
3 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
1 |2 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.1 |0.3 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 16.113122940063477
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
5 |4 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
2 |2 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.1 |0.3 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 16.27118682861328
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 01m 12s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
4 |4 |kernel_size0
3 |None |kernel_size1
5 |4 |pool_size0
1 |None |pool_size1
5 |2 |stride_size0
4 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 16.3308048248291
Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 01m 15s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
3 |4 |kernel_size0
3 |4 |pool_size0
1 |2 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 15.206779479980469
Best val_loss So Far: 15.206779479980469
Total elapsed time: 00h 01m 18s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
2 |3 |kernel_size0
2 |None |kernel_size1
2 |3 |pool_size0
4 |None |pool_size1
4 |1 |stride_size0
5 |None |stride_size1
0.2 |0.4 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 16.375368118286133
Best val_loss So Far: 15.206779479980469
Total elapsed time: 00h 01m 21s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |3 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
1 |1 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.3 |0.4 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 15.986211776733398
Best val_loss So Far: 15.206779479980469
Total elapsed time: 00h 01m 28s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 6.9604WARNING: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 [==============================] - 1s 14ms/step - loss: 6.6560 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.8999 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.3509 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6883WARNING: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: 4.7620 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 4.3021 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.9473 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 3.7008 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.5762 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.5796 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.5608 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0583WARNING: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 9ms/step - loss: 3.5036 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1784WARNING: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 8ms/step - loss: 3.3849 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6885WARNING: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 7ms/step - loss: 3.2153 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1491 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3060WARNING: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 7ms/step - loss: 3.0610 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8989WARNING: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 6ms/step - loss: 2.9773 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9109 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8270WARNING: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 7ms/step - loss: 2.9183 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6363WARNING: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 6ms/step - loss: 2.7433 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7911 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5233WARNING: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 6ms/step - loss: 2.5235 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5528 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5159 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1487WARNING: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 7ms/step - loss: 2.4101 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4822 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3900 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4033 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2493 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2326 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2566WARNING: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 7ms/step - loss: 2.2608 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1688 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1871 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1171 - lr: 1.0000e-04
Epoch 34/200
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 7ms/step - loss: 2.0937 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.1129 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0022 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0286 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.9930 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.0105 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.8628 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8766 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9599 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9099 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9298WARNING: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 7ms/step - loss: 1.7753 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7745 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0432WARNING: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 6ms/step - loss: 1.7388 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7363WARNING: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 7ms/step - loss: 1.7632 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6646WARNING: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 6ms/step - loss: 1.7042 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8192WARNING: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 7ms/step - loss: 1.6891 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6710 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.7035 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6221 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6077 - lr: 1.0000e-04
Epoch 54/200
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 7ms/step - loss: 1.6877 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.5030 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.6188 - lr: 1.0000e-04
Epoch 57/200
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 7ms/step - loss: 1.6995 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2606WARNING: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 7ms/step - loss: 1.7248 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5634 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5826WARNING: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 6ms/step - loss: 1.5256 - lr: 1.0000e-04
Epoch 61/200
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 6ms/step - loss: 1.5147 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5834WARNING: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 15ms/step - loss: 1.4521 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3952WARNING: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 16ms/step - loss: 1.5178 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4228 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.4135 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5300WARNING: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 15ms/step - loss: 1.4931 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7434WARNING: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 17ms/step - loss: 1.4341 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3381WARNING: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 16ms/step - loss: 1.4572 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3228 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4544 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3128 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.2586 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2897 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.3125 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.2621 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7535WARNING: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 6ms/step - loss: 1.2401 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3234WARNING: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 6ms/step - loss: 1.2307 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.1867 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.2621 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.1650 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1923WARNING: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: 1.1380 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2241 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.3107 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8990WARNING: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 6ms/step - loss: 1.1470 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.1900 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1943WARNING: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 6ms/step - loss: 1.2095 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.2050 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.0768 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1045 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0606 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9146WARNING: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 8ms/step - loss: 1.1316 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.1437 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0021 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6934WARNING: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 17ms/step - loss: 1.0804 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.1375 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0913 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0640WARNING: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 7ms/step - loss: 1.0519 - lr: 1.0000e-04
Epoch 99/200
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: 1.0837 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9755 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.0516 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9561 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.0724 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9524 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.0387 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9763 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8268WARNING: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 7ms/step - loss: 1.0180 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9120WARNING: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 7ms/step - loss: 0.9752 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.0092 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9736 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8805WARNING: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 6ms/step - loss: 1.0027 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9171 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9391 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.8641 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9192 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9813 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 0.9736 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7586WARNING: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 10ms/step - loss: 0.9731 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 0.9765 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 1.0199 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 0.9447 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 0.9948 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.0016 - lr: 1.0026e-05
Epoch 124/200
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 7ms/step - loss: 0.9397 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9602 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9334 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9283WARNING: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 7ms/step - loss: 0.9660 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9644 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0470WARNING: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 6ms/step - loss: 0.9477 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0262WARNING: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 6ms/step - loss: 0.9506 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.8959 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9582 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9454 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9713 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9033 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9669 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9146 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0677WARNING: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 6ms/step - loss: 1.0149 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8596WARNING: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 7ms/step - loss: 0.9372 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.8919 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9269WARNING: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 6ms/step - loss: 0.9479 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.8993 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.0344 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6141WARNING: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 7ms/step - loss: 0.9306 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9702WARNING: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 17ms/step - loss: 0.8987 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0077 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 0.9827 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6285WARNING: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 17ms/step - loss: 0.8804 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6803WARNING: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 17ms/step - loss: 1.0116 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 0.9931 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 1.0361 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7964WARNING: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 8ms/step - loss: 0.9303 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4742WARNING: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: 0.9075 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9979 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1902WARNING: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 7ms/step - loss: 0.9307 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.0098 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.8683 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9684 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.8835 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9271 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0095WARNING: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 6ms/step - loss: 0.9401 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9420 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.8948 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.8984 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9810 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9374 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1179WARNING: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 7ms/step - loss: 0.9102 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.0199 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9159 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8323WARNING: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 7ms/step - loss: 0.8632 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9773WARNING: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 14ms/step - loss: 0.8861 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 0.8869 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0014 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8188WARNING: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 17ms/step - loss: 0.8989 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.0075 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 0.9958 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9017 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7303WARNING: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 8ms/step - loss: 0.8968 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1170WARNING: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 [==============================] - 0s 7ms/step - loss: 0.9187 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9403 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0150WARNING: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 7ms/step - loss: 1.2215 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9410WARNING: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 7ms/step - loss: 1.0485 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8760WARNING: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: 0.9454 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9093 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9926 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9484 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9624WARNING: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 7ms/step - loss: 0.8845 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0640WARNING: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 6ms/step - loss: 0.8884 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9762WARNING: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 7ms/step - loss: 0.8982 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.8972 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9270 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7505WARNING: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 6ms/step - loss: 0.9299 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.0663 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.9725 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2852WARNING: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 6ms/step - loss: 0.9672 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 0.8767 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9550 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 0.9778 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 0.8945 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 0.9397 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
1/31 [..............................] - ETA: 3s
26/31 [========================>.....] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
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
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
.. ... ... ... ... ... ... ...
440 Pilot02 8 linreg ... -6.294962 0.123153 0.000010
441 Pilot02 8 linreg ... -11.103152 0.121706 0.000013
442 Pilot02 8 linreg ... -1.049395 0.027840 0.319607
443 Pilot03 1 cnn1d ... -2.907395 -0.076130 0.017254
444 Pilot03 1 cnn1d ... -2.028173 0.049265 0.123653
[445 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (116, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
4 |4 |kernel_size0
5 |5 |pool_size0
5 |5 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.351337432861328
Best val_loss So Far: 19.351337432861328
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
2 |4 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
1 |5 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
1 |5 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.3 |0.1 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 18.84608268737793
Best val_loss So Far: 18.84608268737793
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
256 |128 |filter_unit2
64 |None |filter_unit3
1 |2 |kernel_size0
5 |1 |kernel_size1
5 |3 |kernel_size2
5 |None |kernel_size3
1 |1 |pool_size0
3 |3 |pool_size1
3 |1 |pool_size2
1 |None |pool_size3
2 |1 |stride_size0
5 |1 |stride_size1
2 |2 |stride_size2
2 |None |stride_size3
0.3 |0.3 |dropout0
0.2 |0.1 |dropout1
0 |0.3 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 18.402555465698242
Best val_loss So Far: 18.402555465698242
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |64 |filter_unit0
256 |64 |filter_unit1
3 |1 |kernel_size0
4 |5 |kernel_size1
3 |1 |pool_size0
1 |3 |pool_size1
2 |2 |stride_size0
1 |5 |stride_size1
0 |0.3 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 18.621368408203125
Best val_loss So Far: 18.402555465698242
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
3 |1 |kernel_size0
1 |1 |pool_size0
3 |2 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.4353084564209
Best val_loss So Far: 18.402555465698242
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |64 |filter_unit0
128 |64 |filter_unit1
64 |256 |filter_unit2
1 |1 |kernel_size0
3 |5 |kernel_size1
1 |5 |kernel_size2
5 |1 |pool_size0
5 |3 |pool_size1
2 |3 |pool_size2
4 |2 |stride_size0
4 |5 |stride_size1
2 |2 |stride_size2
0.3 |0.3 |dropout0
0.1 |0.2 |dropout1
0 |0 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 17.840829849243164
Best val_loss So Far: 17.840829849243164
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
256 |64 |filter_unit2
128 |None |filter_unit3
4 |1 |kernel_size0
5 |3 |kernel_size1
2 |1 |kernel_size2
4 |None |kernel_size3
2 |5 |pool_size0
2 |5 |pool_size1
4 |2 |pool_size2
4 |None |pool_size3
4 |4 |stride_size0
1 |4 |stride_size1
5 |2 |stride_size2
4 |None |stride_size3
0.1 |0.3 |dropout0
0.4 |0.1 |dropout1
0.4 |0 |dropout2
0 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 17.139734268188477
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
64 |256 |filter_unit2
64 |128 |filter_unit3
64 |None |filter_unit4
4 |4 |kernel_size0
3 |5 |kernel_size1
2 |2 |kernel_size2
1 |4 |kernel_size3
3 |None |kernel_size4
2 |2 |pool_size0
4 |2 |pool_size1
1 |4 |pool_size2
2 |4 |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
4 |1 |stride_size1
4 |5 |stride_size2
5 |4 |stride_size3
5 |None |stride_size4
0 |0.1 |dropout0
0.3 |0.4 |dropout1
0 |0.4 |dropout2
0.4 |0 |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 07s]
val_loss: 18.95344352722168
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 38s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
32 |64 |filter_unit1
256 |256 |filter_unit2
64 |128 |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
3 |5 |kernel_size1
2 |2 |kernel_size2
1 |4 |kernel_size3
4 |None |kernel_size4
4 |2 |pool_size0
1 |2 |pool_size1
3 |4 |pool_size2
3 |4 |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
5 |1 |stride_size1
3 |5 |stride_size2
4 |4 |stride_size3
4 |None |stride_size4
0.2 |0.1 |dropout0
0 |0.4 |dropout1
0.4 |0.4 |dropout2
0 |0 |dropout3
0.2 |None |dropout4
[2K
2023-11-24 11:21:15.826555: 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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 18.949499130249023
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |64 |filter_unit0
128 |64 |filter_unit1
2 |4 |kernel_size0
5 |5 |kernel_size1
1 |2 |pool_size0
1 |2 |pool_size1
1 |4 |stride_size0
3 |1 |stride_size1
0.3 |0.1 |dropout0
0 |0.4 |dropout1
[2K
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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
Trial 10 Complete [00h 00m 03s]
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
5 |4 |kernel_size0
4 |2 |pool_size0
3 |4 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 02s]
val_loss: 19.777812957763672
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |64 |filter_unit0
64 |64 |filter_unit1
128 |256 |filter_unit2
1 |4 |kernel_size0
3 |5 |kernel_size1
2 |2 |kernel_size2
5 |2 |pool_size0
4 |2 |pool_size1
3 |4 |pool_size2
3 |4 |stride_size0
1 |1 |stride_size1
5 |5 |stride_size2
0.3 |0.1 |dropout0
0.4 |0.4 |dropout1
0.4 |0.4 |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.757160186767578
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
128 |64 |filter_unit1
256 |256 |filter_unit2
32 |128 |filter_unit3
32 |None |filter_unit4
2 |4 |kernel_size0
1 |5 |kernel_size1
1 |2 |kernel_size2
2 |4 |kernel_size3
3 |None |kernel_size4
1 |2 |pool_size0
1 |2 |pool_size1
2 |4 |pool_size2
4 |4 |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
5 |1 |stride_size1
3 |5 |stride_size2
5 |4 |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0 |0.4 |dropout1
0.1 |0.4 |dropout2
0 |0 |dropout3
0.3 |None |dropout4
[2K
2023-11-24 11:21:31.617068: 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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/trial_13/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate8637522188396869458; No such file or directory
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 18.843334197998047
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 00s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |64 |filter_unit0
1 |4 |kernel_size0
5 |2 |pool_size0
5 |4 |stride_size0
0.3 |0.1 |dropout0
[2K
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_23_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/trial_13/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate8637522188396869458; No such file or directory [Op:SaveV2]
[2K
Trial 14 Complete [00h 00m 02s]
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 02s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
32 |256 |filter_unit2
32 |128 |filter_unit3
5 |4 |kernel_size0
4 |5 |kernel_size1
1 |2 |kernel_size2
2 |4 |kernel_size3
1 |2 |pool_size0
1 |2 |pool_size1
2 |4 |pool_size2
2 |4 |pool_size3
4 |4 |stride_size0
2 |1 |stride_size1
1 |5 |stride_size2
1 |4 |stride_size3
0.4 |0.1 |dropout0
0.2 |0.4 |dropout1
0 |0.4 |dropout2
0.2 |0 |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 18.770875930786133
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
64 |256 |filter_unit2
256 |128 |filter_unit3
4 |4 |kernel_size0
3 |5 |kernel_size1
3 |2 |kernel_size2
4 |4 |kernel_size3
2 |2 |pool_size0
5 |2 |pool_size1
2 |4 |pool_size2
1 |4 |pool_size3
1 |4 |stride_size0
5 |1 |stride_size1
1 |5 |stride_size2
2 |4 |stride_size3
0.2 |0.1 |dropout0
0.4 |0.4 |dropout1
0.1 |0.4 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 18.38589096069336
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
4 |4 |kernel_size0
4 |2 |pool_size0
5 |4 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 02s]
val_loss: 20.27121353149414
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 16s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
3 |4 |kernel_size0
4 |5 |kernel_size1
2 |2 |pool_size0
5 |2 |pool_size1
2 |4 |stride_size0
4 |1 |stride_size1
0 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.222980499267578
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |64 |filter_unit0
128 |64 |filter_unit1
3 |4 |kernel_size0
1 |5 |kernel_size1
1 |2 |pool_size0
2 |2 |pool_size1
3 |4 |stride_size0
2 |1 |stride_size1
0.4 |0.1 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 18.2534122467041
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 23s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
5 |4 |kernel_size0
2 |2 |pool_size0
3 |4 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 02s]
val_loss: 20.31398582458496
Best val_loss So Far: 17.139734268188477
Total elapsed time: 00h 01m 25s
{'n_layers': 4, 'filter_unit0': 64, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 128, 'kernel_size0': 4, 'kernel_size1': 5, 'kernel_size2': 2, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 2, 'pool_size2': 4, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 5, 'stride_size3': 4, 'dropout0': 0.1, 'dropout1': 0.4, 'dropout2': 0.4, 'dropout3': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 15.9062
4/4 [==============================] - ETA: 0s - loss: 15.2296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 41ms/step - loss: 15.2296 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 13.6510 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 12.1418 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4924WARNING: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 8ms/step - loss: 10.2992 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.4980 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2414WARNING: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 8ms/step - loss: 7.1621 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2102WARNING: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 8ms/step - loss: 5.9909 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8161WARNING: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 8ms/step - loss: 5.6095 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.1538 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.8192 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4539WARNING: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 8ms/step - loss: 4.5998 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9485WARNING: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: 4.9214 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.5956 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.4367 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4318WARNING: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 8ms/step - loss: 4.3273 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.9733 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3814 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8183 - lr: 1.0000e-04
Epoch 19/200
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 8ms/step - loss: 3.9651 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0541 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0198 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.7802 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2300WARNING: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 11ms/step - loss: 3.9064 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 4.0464 - lr: 1.0000e-04
Epoch 25/200
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 17ms/step - loss: 3.9041 - lr: 1.0000e-04
Epoch 26/200
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 17ms/step - loss: 3.7991 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 3.6810 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5779 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6517 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5416 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6165 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5087 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6171 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7211 - lr: 1.0000e-04
Epoch 35/200
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 7ms/step - loss: 3.6303 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4580 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3658 - lr: 1.0000e-04
Epoch 38/200
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 8ms/step - loss: 3.6064 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1839 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.4475 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9804WARNING: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 8ms/step - loss: 3.1535 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3156 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3498WARNING: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 8ms/step - loss: 3.4804 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2317 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4387WARNING: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 8ms/step - loss: 3.5021 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.2418 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.0763 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.7570 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 3.3544 - lr: 1.0000e-04
Epoch 50/200
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 17ms/step - loss: 3.0941 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3834WARNING: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 17ms/step - loss: 3.2265 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3287 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1690 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5475WARNING: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 8ms/step - loss: 3.3415 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1534 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9850 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8286 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0481 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2146WARNING: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 8ms/step - loss: 3.3018 - lr: 1.0000e-04
Epoch 60/200
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 8ms/step - loss: 2.9289 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0286 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9408 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3550 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8563 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4828WARNING: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 8ms/step - loss: 2.9520 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1996WARNING: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 8ms/step - loss: 2.9476 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4262WARNING: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 8ms/step - loss: 2.7319 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5342 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0452 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8584 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2401WARNING: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 8ms/step - loss: 2.8568 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5427 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.8428 - lr: 1.0000e-04
Epoch 74/200
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 17ms/step - loss: 2.7247 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.6664 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6398WARNING: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 17ms/step - loss: 2.6253 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6285WARNING: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 17ms/step - loss: 2.5937 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.9843 - lr: 1.0000e-04
Epoch 79/200
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: 2.4244 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6120 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7779 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6883 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0009 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4304 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6186 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9419WARNING: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 8ms/step - loss: 2.6400 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8811 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8869 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.0397 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6381WARNING: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 8ms/step - loss: 2.7052 - lr: 1.0000e-04
Epoch 91/200
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 8ms/step - loss: 2.8002 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5652WARNING: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 8ms/step - loss: 2.5572 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5307 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7718 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5228 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2566WARNING: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 8ms/step - loss: 2.6376 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8153 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9229WARNING: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 8ms/step - loss: 2.5380 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6510 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6334 - lr: 1.0000e-04
Epoch 101/200
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 17ms/step - loss: 2.5643 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.6735 - lr: 8.1873e-05
Epoch 103/200
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 14ms/step - loss: 2.7753 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.4462 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2300WARNING: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 17ms/step - loss: 2.4448 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.5686 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.5282 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2724 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3104WARNING: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 8ms/step - loss: 2.5981 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2153WARNING: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 8ms/step - loss: 2.4893 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3647 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2099 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3937 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4165 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6059 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5171 - lr: 2.0190e-05
Epoch 117/200
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 8ms/step - loss: 2.5268 - lr: 1.8268e-05
Epoch 118/200
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 8ms/step - loss: 2.3962 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3973 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4960 - lr: 1.3534e-05
Epoch 121/200
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 8ms/step - loss: 2.1126 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5130 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7951WARNING: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 8ms/step - loss: 2.3512 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3405 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5013 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2901 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2656 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1315WARNING: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 10ms/step - loss: 2.3152 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.2848 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.4849 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5665WARNING: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 [==============================] - 0s 15ms/step - loss: 2.2442 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.6150 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.4021 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 15ms/step - loss: 2.2854 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4787 - lr: 3.0197e-06
Epoch 136/200
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 8ms/step - loss: 2.4148 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4121 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4592 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2248 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1987WARNING: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 8ms/step - loss: 2.2339 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5050 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4735 - lr: 1.4996e-06
Epoch 143/200
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 8ms/step - loss: 2.4319 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3978WARNING: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 7ms/step - loss: 2.0481 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5366 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2349 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2444 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5014 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6140 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5189 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5402 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3058 - lr: 5.5165e-07
Epoch 153/200
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 13ms/step - loss: 2.5289 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.5938 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.4007 - lr: 4.0868e-07
Epoch 156/200
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 17ms/step - loss: 2.3104 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 2.4697 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3470WARNING: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 17ms/step - loss: 2.4395 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5552 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4688 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4495 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6035 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2937WARNING: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 7ms/step - loss: 2.4305 - lr: 1.8363e-07
Epoch 164/200
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 7ms/step - loss: 2.6588 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4308 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4725 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4660WARNING: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 7ms/step - loss: 2.4190 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3059 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6701 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5817 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3688 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2900WARNING: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 8ms/step - loss: 2.1523 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5454 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4785WARNING: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 8ms/step - loss: 2.3937 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5395WARNING: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 8ms/step - loss: 2.4289 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3695 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4541 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2338 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2860 - lr: 3.7074e-08
Epoch 180/200
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 17ms/step - loss: 2.2257 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 2.4592 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4712WARNING: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 14ms/step - loss: 2.4189 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0283
4/4 [==============================] - ETA: 0s - loss: 2.5806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 18ms/step - loss: 2.5806 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9860WARNING: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 17ms/step - loss: 2.4984 - lr: 2.2487e-08
Epoch 185/200
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 17ms/step - loss: 2.5933 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3046 - lr: 1.8410e-08
Epoch 187/200
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 8ms/step - loss: 2.2719 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2959 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2469 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4773 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5062 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1798 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4680 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8553 - lr: 8.2724e-09
Epoch 195/200
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 7ms/step - loss: 2.5338 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5264 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6914 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3261 - lr: 5.5451e-09
Epoch 199/200
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 8ms/step - loss: 2.7595 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2202WARNING: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 7ms/step - loss: 2.2168 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 64, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 128, 'kernel_size0': 4, 'kernel_size1': 5, 'kernel_size2': 2, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 2, 'pool_size2': 4, 'pool_size3': 4, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 5, 'stride_size3': 4, 'dropout0': 0.1, 'dropout1': 0.4, 'dropout2': 0.4, 'dropout3': 0.0}
1/31 [..............................] - ETA: 11s
24/31 [======================>.......] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 4ms/step
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
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
.. ... ... ... ... ... ... ...
442 Pilot02 8 linreg ... -1.049395 0.027840 0.319607
443 Pilot03 1 cnn1d ... -2.907395 -0.076130 0.017254
444 Pilot03 1 cnn1d ... -2.028173 0.049265 0.123653
445 Pilot02 1 cnn1d ... -8.049662 -0.076824 0.006666
446 Pilot03 1 cnn1d ... -0.682358 -0.037554 0.240661
[447 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-17.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (116, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
3 |3 |kernel_size0
2 |2 |kernel_size1
2 |2 |kernel_size2
1 |1 |pool_size0
1 |1 |pool_size1
2 |2 |pool_size2
5 |5 |stride_size0
1 |1 |stride_size1
4 |4 |stride_size2
0.4 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 16.104055404663086
Best val_loss So Far: 16.104055404663086
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |128 |filter_unit0
1 |3 |kernel_size0
3 |1 |pool_size0
3 |5 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 15.194357872009277
Best val_loss So Far: 15.194357872009277
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
1 |1 |kernel_size0
3 |None |kernel_size1
4 |3 |pool_size0
4 |None |pool_size1
2 |3 |stride_size0
4 |None |stride_size1
0 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 16.73282814025879
Best val_loss So Far: 15.194357872009277
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
1 |1 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
5 |3 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
4 |3 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 16.664871215820312
Best val_loss So Far: 15.194357872009277
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
5 |1 |kernel_size0
3 |3 |pool_size0
3 |3 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 12.886021614074707
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
3 |5 |kernel_size0
1 |3 |pool_size0
3 |3 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 02s]
val_loss: 15.375786781311035
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 21s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |3 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |3 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.3 |0.4 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 16.875534057617188
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 26s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
2 |5 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
1 |3 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
1 |3 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0.3 |0.4 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 07s]
val_loss: 16.81248664855957
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
1 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |3 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
5 |3 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
0.2 |0.4 |dropout0
0.4 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 16.310138702392578
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
4 |5 |kernel_size0
5 |3 |pool_size0
5 |3 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 02s]
val_loss: 16.848752975463867
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |3 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
4 |3 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 16.748594284057617
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
4 |5 |kernel_size0
3 |3 |pool_size0
3 |3 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 15.544295310974121
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 49s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
32 |None |filter_unit1
4 |5 |kernel_size0
3 |None |kernel_size1
2 |3 |pool_size0
2 |None |pool_size1
3 |3 |stride_size0
1 |None |stride_size1
0.4 |0.4 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 16.615964889526367
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 52s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
1 |5 |kernel_size0
5 |None |kernel_size1
2 |3 |pool_size0
1 |None |pool_size1
2 |3 |stride_size0
1 |None |stride_size1
0.3 |0.4 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 18.064485549926758
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 00m 56s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
4 |5 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |3 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
5 |3 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.1 |0.4 |dropout0
0.3 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 16.65700340270996
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 00s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
5 |5 |kernel_size0
5 |3 |pool_size0
1 |3 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 16.300050735473633
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 03s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
3 |3 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
5 |3 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 16.77294158935547
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 08s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
2 |5 |kernel_size0
2 |3 |pool_size0
5 |3 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 16.75217628479004
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 11s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |3 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |3 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.2 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 16.611129760742188
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 16s
Search: Running Trial #20
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
128 |None |filter_unit4
2 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
4 |None |kernel_size4
4 |3 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
5 |3 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.4 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 17.058000564575195
Best val_loss So Far: 12.886021614074707
Total elapsed time: 00h 01m 22s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 3, 'stride_size0': 3, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 4.5726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 4.7267 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7932 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6637WARNING: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 3ms/step - loss: 4.8458 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7180 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.6963 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5085 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7154 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9288 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0326WARNING: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 3ms/step - loss: 4.6531 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9176WARNING: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 3ms/step - loss: 4.5047 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0506WARNING: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 3ms/step - loss: 4.5758 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7762 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6100WARNING: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 3ms/step - loss: 4.4904 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4678 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3092 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.5312 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2045 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1916 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.4118 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1484 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 4.0148 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 4.3219 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5043WARNING: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 8ms/step - loss: 4.1392 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.8826 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0366 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.9623 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0311WARNING: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 11ms/step - loss: 3.9985 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8314 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8798 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9944 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9897 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8000 - lr: 1.0000e-04
Epoch 33/200
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: 3.7981 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7980 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3689WARNING: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 3ms/step - loss: 3.6052 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6642 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8269WARNING: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: 3.6601 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0583WARNING: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: 3.4150 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1733WARNING: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 3ms/step - loss: 3.7368 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5435 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6928 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3531 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3842 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1522WARNING: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 3ms/step - loss: 3.5136 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5989WARNING: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: 3.2808 - lr: 1.0000e-04
Epoch 46/200
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 3ms/step - loss: 3.4222 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.3351 - lr: 1.0000e-04
Epoch 48/200
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 3ms/step - loss: 3.2987 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6777WARNING: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 3ms/step - loss: 3.4683 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5504 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1448 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4692 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.4199 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2559 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1733WARNING: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 3ms/step - loss: 3.2023 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1730 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9049 - lr: 1.0000e-04
Epoch 58/200
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 3ms/step - loss: 3.2357 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1257WARNING: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: 3.1813 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5617WARNING: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: 2.8021 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.1436 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8106 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5863WARNING: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: 3.1119 - lr: 1.0000e-04
Epoch 64/200
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: 2.9809 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0647 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.7154 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0860 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8144 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0939 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0900 - lr: 1.0000e-04
Epoch 71/200
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 3ms/step - loss: 2.9883 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0130 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6581 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9146WARNING: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 3ms/step - loss: 2.7729 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8363 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.0120 - lr: 1.0000e-04
Epoch 77/200
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 3ms/step - loss: 2.5875 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5982 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.7805 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.8148 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.9093 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.7494 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8976WARNING: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 9ms/step - loss: 2.8056 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6324 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6682 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6697 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.6834 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6703 - lr: 1.0000e-04
Epoch 89/200
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 11ms/step - loss: 2.4633 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9124WARNING: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 10ms/step - loss: 2.8570 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5142WARNING: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 4ms/step - loss: 2.7189 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6439 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4162WARNING: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 3ms/step - loss: 2.3515 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6057 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6312WARNING: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 3ms/step - loss: 2.6739 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5927 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4747 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6993WARNING: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 3ms/step - loss: 2.4222 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4387 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6309 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3763 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1836WARNING: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 3ms/step - loss: 2.6208 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4915WARNING: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 3ms/step - loss: 2.5319 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3323WARNING: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 3ms/step - loss: 2.4295 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3799 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4170WARNING: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 4ms/step - loss: 2.3773 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.2543 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9624WARNING: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: 2.3838 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5122 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6343 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3900WARNING: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 3ms/step - loss: 2.3170 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3665 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0254WARNING: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 3ms/step - loss: 2.5503 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5730 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3932 - lr: 2.2313e-05
Epoch 116/200
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 3ms/step - loss: 2.3633 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7973WARNING: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 3ms/step - loss: 2.3304 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5204 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9445WARNING: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 3ms/step - loss: 2.3652 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4641 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3543 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6090 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4264 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5323 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2674 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2827 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5015 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4364WARNING: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 3ms/step - loss: 2.5492 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5529 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2814 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4337 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4292 - lr: 4.0762e-06
Epoch 133/200
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 3ms/step - loss: 2.3235 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3816 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4657 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4782 - lr: 2.7324e-06
Epoch 137/200
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 3ms/step - loss: 2.3345 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4076 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2432 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3646 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4837 - lr: 1.6573e-06
Epoch 142/200
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 3ms/step - loss: 2.4828 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4012 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4275 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6285 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7061WARNING: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 5ms/step - loss: 2.5640 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.3627 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.4837 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4228 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2811 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.6798 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4552 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.4930 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3288 - lr: 4.5166e-07
Epoch 155/200
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 3ms/step - loss: 2.4162 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 2.3426 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5192 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4140 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4847 - lr: 2.7394e-07
Epoch 160/200
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 3ms/step - loss: 2.4531 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2941WARNING: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 3ms/step - loss: 2.3156 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4492 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4686 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4482 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5577WARNING: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: 2.4307 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3869 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5146WARNING: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 3ms/step - loss: 2.4062 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4963 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3872WARNING: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: 2.2943 - lr: 1.0078e-07
Epoch 170/200
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 3ms/step - loss: 2.5327 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4948 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.7914 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5184 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3217WARNING: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 3ms/step - loss: 2.5478 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2901 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2208 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2413 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2682 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4637 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5705WARNING: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: 2.2475 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4189 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5495 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0090WARNING: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 3ms/step - loss: 2.4276 - lr: 2.4852e-08
Epoch 184/200
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 3ms/step - loss: 2.5283 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4953 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3881 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4533 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1600WARNING: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 3ms/step - loss: 2.3398 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4460 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2627 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5072 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.2538 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3303 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.5564 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4483 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3223 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6298 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.4185 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.3532 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 2.6511 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 3, 'stride_size0': 3, 'dropout0': 0.4}
1/31 [..............................] - ETA: 4s
19/31 [=================>............] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 4ms/step
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
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
.. ... ... ... ... ... ... ...
444 Pilot03 1 cnn1d ... -2.028173 0.049265 0.123653
445 Pilot02 1 cnn1d ... -8.049662 -0.076824 0.006666
446 Pilot03 1 cnn1d ... -0.682358 -0.037554 0.240661
447 Pilot02 1 cnn1d ... -14.593487 -0.008966 0.751862
448 Pilot03 1 cnn1d ... -1.735451 -0.096830 0.002434
[449 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-20.0
train
(36156, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (111, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
32 |32 |filter_unit2
128 |128 |filter_unit3
256 |256 |filter_unit4
4 |4 |kernel_size0
4 |4 |kernel_size1
1 |1 |kernel_size2
4 |4 |kernel_size3
2 |2 |kernel_size4
3 |3 |pool_size0
3 |3 |pool_size1
4 |4 |pool_size2
2 |2 |pool_size3
3 |3 |pool_size4
2 |2 |stride_size0
2 |2 |stride_size1
1 |1 |stride_size2
1 |1 |stride_size3
1 |1 |stride_size4
0.1 |0.1 |dropout0
0 |0 |dropout1
0 |0 |dropout2
0.4 |0.4 |dropout3
0.1 |0.1 |dropout4
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.30219841003418
Best val_loss So Far: 19.30219841003418
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |128 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
5 |4 |kernel_size0
4 |4 |kernel_size1
3 |1 |kernel_size2
2 |3 |pool_size0
5 |3 |pool_size1
1 |4 |pool_size2
3 |2 |stride_size0
1 |2 |stride_size1
2 |1 |stride_size2
0.4 |0.1 |dropout0
0 |0 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 18.594470977783203
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |256 |filter_unit0
64 |128 |filter_unit1
1 |5 |kernel_size0
2 |4 |kernel_size1
3 |2 |pool_size0
4 |5 |pool_size1
5 |3 |stride_size0
4 |1 |stride_size1
0.4 |0.4 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.069002151489258
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |256 |filter_unit0
5 |5 |kernel_size0
5 |2 |pool_size0
2 |3 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.21722412109375
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |256 |filter_unit0
32 |128 |filter_unit1
1 |5 |kernel_size0
3 |4 |kernel_size1
2 |2 |pool_size0
3 |5 |pool_size1
5 |3 |stride_size0
1 |1 |stride_size1
0.4 |0.4 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.24822235107422
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
64 |32 |filter_unit2
5 |5 |kernel_size0
5 |4 |kernel_size1
5 |3 |kernel_size2
2 |2 |pool_size0
1 |5 |pool_size1
2 |1 |pool_size2
2 |3 |stride_size0
1 |1 |stride_size1
2 |2 |stride_size2
0.3 |0.4 |dropout0
0.1 |0 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.762619018554688
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
5 |5 |kernel_size0
5 |4 |kernel_size1
1 |2 |pool_size0
5 |5 |pool_size1
5 |3 |stride_size0
1 |1 |stride_size1
0.1 |0.4 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.723546981811523
Best val_loss So Far: 18.594470977783203
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |256 |filter_unit0
3 |5 |kernel_size0
1 |2 |pool_size0
3 |3 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 17.277212142944336
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
3 |3 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |1 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
2 |3 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0 |0.1 |dropout0
0 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.36136245727539
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 00m 36s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |3 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
3 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
3 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0 |0.1 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.30449867248535
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
4 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
2 |3 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.1 |0.1 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 07s]
val_loss: 19.28508758544922
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 00m 48s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
5 |1 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
5 |3 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.4 |0.1 |dropout0
0 |None |dropout1
0 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.1737117767334
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 00m 54s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
2 |3 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
2 |1 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.1 |0.1 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.00774574279785
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 00s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
2 |3 |kernel_size0
2 |None |kernel_size1
2 |1 |pool_size0
4 |None |pool_size1
4 |3 |stride_size0
5 |None |stride_size1
0 |0.1 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.260194778442383
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
5 |3 |kernel_size0
2 |1 |pool_size0
5 |3 |stride_size0
0.2 |0.1 |dropout0
[2K
2023-11-24 11:24:52.668309: W tensorflow/tsl/framework/bfc_allocator.cc:366] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature.
[2K
Trial 15 Complete [00h 00m 02s]
val_loss: 18.03404426574707
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |3 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
5 |None |pool_size4
2 |3 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0 |0.1 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
2023-11-24 11:24:55.916982: W tensorflow/tsl/framework/bfc_allocator.cc:366] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature.
2023-11-24 11:24:57.900874: 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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-20.0/bayesianoptimization/trial_16/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.155855178833008
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 13s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
4 |3 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |3 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0 |0.1 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
[2K
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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-15.0-20.0/bayesianoptimization/trial_16/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
Trial 17 Complete [00h 00m 04s]
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 16s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
1 |3 |kernel_size0
2 |1 |pool_size0
1 |3 |stride_size0
0.3 |0.1 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.079992294311523
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 20s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |3 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
3 |1 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |3 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.1 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 18.9067440032959
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 25s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
4 |1 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.1 |0.1 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.276731491088867
Best val_loss So Far: 17.277212142944336
Total elapsed time: 00h 01m 31s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 1, 'stride_size0': 3, 'dropout0': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 19.5910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 12ms/step - loss: 19.7116 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 20.3294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.4453 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 20.3523WARNING: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 4ms/step - loss: 19.1881 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.1934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.9870 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5373WARNING: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 4ms/step - loss: 18.6631 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.4404 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 18.8045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.1776 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5420WARNING: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: 17.9888 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 18.1670WARNING: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: 17.6901 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 16.6319WARNING: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 8ms/step - loss: 17.3871 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 17.2792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 17.1771 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 16.9530 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6203WARNING: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 8ms/step - loss: 16.6806 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8759WARNING: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 12ms/step - loss: 16.4841 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 16.1563 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 15.7729WARNING: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 12ms/step - loss: 15.9282 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0970WARNING: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 11ms/step - loss: 15.6728 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.4147 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.1392 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4263WARNING: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 4ms/step - loss: 14.9010 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 15.4596WARNING: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: 14.7147 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6032WARNING: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 4ms/step - loss: 14.4318 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.1937 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.9179 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.6915 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.3875 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0949WARNING: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 4ms/step - loss: 13.1667 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.9291 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6717 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.3166 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.1296 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8976 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6661WARNING: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 4ms/step - loss: 11.5919 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.3479 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.0932 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.7865 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.5059 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3464 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0435WARNING: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 4ms/step - loss: 9.9886 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7007 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.4123 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3725WARNING: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 4ms/step - loss: 9.2049 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4259WARNING: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: 8.9716 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.7101 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4810 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1680 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9501 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3596WARNING: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 4ms/step - loss: 7.6794 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5160 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5149WARNING: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 4ms/step - loss: 7.2309 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9994 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8136 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6337 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5652WARNING: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: 6.4159 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1845 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0793 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9298 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9631WARNING: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 12ms/step - loss: 5.7455 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.5780 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3225WARNING: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 8ms/step - loss: 5.5108 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.4691 - lr: 1.0000e-04
Epoch 62/200
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 12ms/step - loss: 5.2812 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.2078 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4767WARNING: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 12ms/step - loss: 5.0928 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0327 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5385WARNING: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 4ms/step - loss: 4.9730 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9188 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available 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 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8704 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3725WARNING: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 4ms/step - loss: 4.7001 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7089 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6466 - lr: 1.0000e-04
Epoch 73/200
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 4ms/step - loss: 4.5599 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5634 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5492 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4963 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2569WARNING: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 4ms/step - loss: 4.5171 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3755 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2669 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2442 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2091 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3148 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4160WARNING: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 4ms/step - loss: 4.1540 - lr: 1.0000e-04
Epoch 84/200
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 4ms/step - loss: 4.2709 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7031WARNING: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 4ms/step - loss: 4.0962 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0557 - lr: 1.0000e-04
Epoch 87/200
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: 4.0123 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6285WARNING: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 4ms/step - loss: 4.0404 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1488 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9879 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9515 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0279 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7813WARNING: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 4ms/step - loss: 3.9853 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5005WARNING: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: 4.0104 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2249WARNING: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 4ms/step - loss: 3.9648 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9780 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5666WARNING: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 4ms/step - loss: 3.8398 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5577WARNING: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 4ms/step - loss: 3.7998 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8434 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6736 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6389 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics 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: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6966 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6510 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6552 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2630WARNING: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: 3.7023 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6539 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6047 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.4945 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.7992 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.6027 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5860 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5579 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8856WARNING: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 11ms/step - loss: 3.6151 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7038WARNING: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 12ms/step - loss: 3.6102 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9234WARNING: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 5ms/step - loss: 3.5605 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5078 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5060 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5875 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8711WARNING: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 4ms/step - loss: 3.5213 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6198 - lr: 1.2246e-05
Epoch 122/200
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 4ms/step - loss: 3.5357 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4515WARNING: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 4ms/step - loss: 3.5684 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5012 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5082 - lr: 8.2085e-06
Epoch 126/200
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 4ms/step - loss: 3.5491 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5484 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5893 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics 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: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9947WARNING: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 4ms/step - loss: 3.4811 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5598 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5393 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5801 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5367 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5915 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5033 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3789 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7123 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8073 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5145 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7964WARNING: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 4ms/step - loss: 3.5049 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5574 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5445 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8857WARNING: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 4ms/step - loss: 3.5021 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7856WARNING: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 4ms/step - loss: 3.6098 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4914WARNING: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 4ms/step - loss: 3.6550 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4531 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6239 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5578 - lr: 7.4466e-07
Epoch 150/200
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 4ms/step - loss: 3.5305 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6042 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5861 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5623WARNING: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: 3.6331 - lr: 4.9916e-07
Epoch 154/200
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: 3.5499 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6239 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5349 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 3.5981 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5785 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5325 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5601 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 3.5454 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 3.5303 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 3.4480 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5204 - lr: 1.6616e-07
Epoch 165/200
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 4ms/step - loss: 3.5893 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6054WARNING: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 4ms/step - loss: 3.5608 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4739 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0820WARNING: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 4ms/step - loss: 3.6212 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5166 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4699 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1470WARNING: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: 3.5610 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5163 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5492WARNING: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 4ms/step - loss: 3.5339 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8187WARNING: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 4ms/step - loss: 3.5673 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4259WARNING: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: 3.6204 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6392 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5156 - lr: 4.5283e-08
Epoch 178/200
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: 3.5456 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5137 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9299WARNING: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 4ms/step - loss: 3.5088 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5389 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6610 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0093WARNING: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 4ms/step - loss: 3.4534 - lr: 2.4852e-08
Epoch 184/200
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 4ms/step - loss: 3.5349 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5766 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7143WARNING: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: 3.6159 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6169 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4923 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6302 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5761WARNING: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 4ms/step - loss: 3.4759 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4596 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5076 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5937 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4525 - lr: 8.2724e-09
Epoch 195/200
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 4ms/step - loss: 3.5772 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6845WARNING: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 4ms/step - loss: 3.4240 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4677 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8960WARNING: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: 3.5076 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4555 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5496 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 1, 'stride_size0': 3, 'dropout0': 0.1}
1/31 [..............................] - ETA: 4s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 0s 2ms/step
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
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
.. ... ... ... ... ... ... ...
446 Pilot03 1 cnn1d ... -0.682358 -0.037554 0.240661
447 Pilot02 1 cnn1d ... -14.593487 -0.008966 0.751862
448 Pilot03 1 cnn1d ... -1.735451 -0.096830 0.002434
449 Pilot02 1 cnn1d ... -6.520777 -0.051417 0.069624
450 Pilot03 1 cnn1d ... -0.781686 -0.122732 0.000119
[451 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (116, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
32 |32 |filter_unit3
1 |1 |kernel_size0
1 |1 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
1 |1 |pool_size0
2 |2 |pool_size1
4 |4 |pool_size2
3 |3 |pool_size3
4 |4 |stride_size0
3 |3 |stride_size1
1 |1 |stride_size2
1 |1 |stride_size3
0.3 |0.3 |dropout0
0.4 |0.4 |dropout1
0.4 |0.4 |dropout2
0.1 |0.1 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.129924774169922
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |32 |filter_unit0
4 |1 |kernel_size0
3 |1 |pool_size0
4 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 19.13072395324707
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |32 |filter_unit0
32 |128 |filter_unit1
128 |256 |filter_unit2
32 |32 |filter_unit3
32 |None |filter_unit4
5 |1 |kernel_size0
3 |1 |kernel_size1
1 |4 |kernel_size2
2 |4 |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
5 |2 |pool_size1
3 |4 |pool_size2
3 |3 |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
5 |3 |stride_size1
2 |1 |stride_size2
4 |1 |stride_size3
1 |None |stride_size4
0.2 |0.3 |dropout0
0 |0.4 |dropout1
0.2 |0.4 |dropout2
0.3 |0.1 |dropout3
0 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 19.75490951538086
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |32 |filter_unit0
256 |128 |filter_unit1
1 |1 |kernel_size0
3 |1 |kernel_size1
4 |1 |pool_size0
1 |2 |pool_size1
5 |4 |stride_size0
2 |3 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.4 |dropout1
[2K
2023-11-24 11:25:45.891418: 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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/trial_04/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate3261715182976869802; No such file or directory
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 20.482181549072266
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
32 |256 |filter_unit2
256 |32 |filter_unit3
3 |1 |kernel_size0
5 |1 |kernel_size1
3 |4 |kernel_size2
2 |4 |kernel_size3
3 |1 |pool_size0
4 |2 |pool_size1
4 |4 |pool_size2
1 |3 |pool_size3
5 |4 |stride_size0
1 |3 |stride_size1
3 |1 |stride_size2
2 |1 |stride_size3
0.2 |0.3 |dropout0
0.1 |0.4 |dropout1
0.1 |0.4 |dropout2
0.4 |0.1 |dropout3
[2K
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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/trial_04/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate3261715182976869802; No such file or directory [Op:SaveV2]
2023-11-24 11:25:50.699654: 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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/trial_05/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
[2K
Trial 5 Complete [00h 00m 05s]
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |32 |filter_unit0
256 |128 |filter_unit1
32 |256 |filter_unit2
1 |1 |kernel_size0
2 |1 |kernel_size1
2 |4 |kernel_size2
3 |1 |pool_size0
2 |2 |pool_size1
4 |4 |pool_size2
3 |4 |stride_size0
5 |3 |stride_size1
1 |1 |stride_size2
0.3 |0.3 |dropout0
0.1 |0.4 |dropout1
0.3 |0.4 |dropout2
[2K
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/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/trial_05/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
Trial 6 Complete [00h 00m 05s]
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
128 |256 |filter_unit2
128 |32 |filter_unit3
64 |None |filter_unit4
3 |1 |kernel_size0
2 |1 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
1 |None |kernel_size4
4 |1 |pool_size0
4 |2 |pool_size1
2 |4 |pool_size2
4 |3 |pool_size3
5 |None |pool_size4
2 |4 |stride_size0
4 |3 |stride_size1
2 |1 |stride_size2
3 |1 |stride_size3
1 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |0.4 |dropout1
0.3 |0.4 |dropout2
0.2 |0.1 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.320775985717773
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 35s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |32 |filter_unit0
32 |128 |filter_unit1
3 |1 |kernel_size0
4 |1 |kernel_size1
1 |1 |pool_size0
5 |2 |pool_size1
4 |4 |stride_size0
2 |3 |stride_size1
0.2 |0.3 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.63934326171875
Best val_loss So Far: 19.129924774169922
Total elapsed time: 00h 00m 39s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |32 |filter_unit0
64 |128 |filter_unit1
3 |1 |kernel_size0
1 |1 |kernel_size1
4 |1 |pool_size0
2 |2 |pool_size1
1 |4 |stride_size0
3 |3 |stride_size1
0 |0.3 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.12696647644043
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |256 |filter_unit0
32 |64 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
2 |1 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
5 |4 |pool_size0
2 |2 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
5 |1 |stride_size0
3 |3 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.4 |0 |dropout0
0.2 |0.4 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 19.822521209716797
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |256 |filter_unit0
128 |64 |filter_unit1
32 |None |filter_unit2
4 |3 |kernel_size0
4 |1 |kernel_size1
5 |None |kernel_size2
4 |4 |pool_size0
2 |2 |pool_size1
5 |None |pool_size2
2 |1 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
0.4 |0 |dropout0
0.1 |0.4 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.25210189819336
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 00m 53s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |256 |filter_unit0
256 |64 |filter_unit1
1 |3 |kernel_size0
4 |1 |kernel_size1
5 |4 |pool_size0
5 |2 |pool_size1
5 |1 |stride_size0
5 |3 |stride_size1
0.3 |0 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.722185134887695
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |256 |filter_unit0
128 |64 |filter_unit1
2 |3 |kernel_size0
1 |1 |kernel_size1
1 |4 |pool_size0
4 |2 |pool_size1
3 |1 |stride_size0
3 |3 |stride_size1
0.3 |0 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.26585578918457
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |256 |filter_unit0
128 |64 |filter_unit1
256 |None |filter_unit2
3 |3 |kernel_size0
3 |1 |kernel_size1
3 |None |kernel_size2
1 |4 |pool_size0
5 |2 |pool_size1
4 |None |pool_size2
3 |1 |stride_size0
1 |3 |stride_size1
5 |None |stride_size2
0.4 |0 |dropout0
0.3 |0.4 |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.41651725769043
Best val_loss So Far: 19.12696647644043
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |256 |filter_unit0
256 |64 |filter_unit1
128 |None |filter_unit2
4 |3 |kernel_size0
5 |1 |kernel_size1
2 |None |kernel_size2
1 |4 |pool_size0
5 |2 |pool_size1
4 |None |pool_size2
3 |1 |stride_size0
5 |3 |stride_size1
1 |None |stride_size2
0 |0 |dropout0
0 |0.4 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 18.740236282348633
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 09s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
256 |256 |filter_unit1
64 |128 |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
4 |4 |kernel_size0
3 |5 |kernel_size1
1 |2 |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
5 |1 |pool_size0
3 |5 |pool_size1
3 |4 |pool_size2
5 |None |pool_size3
5 |None |pool_size4
2 |3 |stride_size0
3 |5 |stride_size1
4 |1 |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.1 |0 |dropout0
0.3 |0 |dropout1
0.4 |0.1 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 19.161191940307617
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 16s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |256 |filter_unit0
64 |256 |filter_unit1
64 |128 |filter_unit2
128 |None |filter_unit3
2 |4 |kernel_size0
3 |5 |kernel_size1
4 |2 |kernel_size2
3 |None |kernel_size3
1 |1 |pool_size0
1 |5 |pool_size1
1 |4 |pool_size2
2 |None |pool_size3
5 |3 |stride_size0
4 |5 |stride_size1
1 |1 |stride_size2
1 |None |stride_size3
0.3 |0 |dropout0
0 |0 |dropout1
0.4 |0.1 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 20.076295852661133
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 22s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
256 |256 |filter_unit1
128 |128 |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
1 |4 |kernel_size0
2 |5 |kernel_size1
2 |2 |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
5 |5 |pool_size1
3 |4 |pool_size2
1 |None |pool_size3
1 |None |pool_size4
1 |3 |stride_size0
1 |5 |stride_size1
3 |1 |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.3 |0 |dropout0
0.4 |0 |dropout1
0.1 |0.1 |dropout2
0.1 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 19.783117294311523
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 29s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
64 |256 |filter_unit1
32 |128 |filter_unit2
256 |None |filter_unit3
4 |4 |kernel_size0
5 |5 |kernel_size1
1 |2 |kernel_size2
3 |None |kernel_size3
2 |1 |pool_size0
4 |5 |pool_size1
1 |4 |pool_size2
3 |None |pool_size3
3 |3 |stride_size0
5 |5 |stride_size1
5 |1 |stride_size2
2 |None |stride_size3
0 |0 |dropout0
0.1 |0 |dropout1
0.1 |0.1 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.9249210357666
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 34s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
4 |4 |kernel_size0
3 |5 |kernel_size1
2 |1 |pool_size0
1 |5 |pool_size1
5 |3 |stride_size0
5 |5 |stride_size1
0.4 |0 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.870370864868164
Best val_loss So Far: 18.740236282348633
Total elapsed time: 00h 01m 38s
{'n_layers': 3, 'filter_unit0': 256, 'filter_unit1': 256, 'filter_unit2': 128, 'kernel_size0': 4, 'kernel_size1': 5, 'kernel_size2': 2, 'pool_size0': 1, 'pool_size1': 5, 'pool_size2': 4, 'stride_size0': 3, 'stride_size1': 5, 'stride_size2': 1, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.1}
1/31 [..............................] - ETA: 11s
26/31 [========================>.....] - ETA: 0s
31/31 [==============================] - 0s 3ms/step
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
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
.. ... ... ... ... ... ... ...
448 Pilot03 1 cnn1d ... -1.735451 -0.096830 0.002434
449 Pilot02 1 cnn1d ... -6.520777 -0.051417 0.069624
450 Pilot03 1 cnn1d ... -0.781686 -0.122732 0.000119
451 Pilot02 1 cnn1d ... -4.034575 -0.062910 0.026377
452 Pilot03 1 cnn1d ... -2.688729 0.019454 0.543409
[453 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-12.0-15.0-17.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (116, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-12.0-15.0-17.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |64 |filter_unit0
32 |64 |filter_unit1
32 |256 |filter_unit2
32 |128 |filter_unit3
256 |64 |filter_unit4
2 |3 |kernel_size0
3 |1 |kernel_size1
3 |1 |kernel_size2
3 |5 |kernel_size3
4 |5 |kernel_size4
4 |4 |pool_size0
3 |2 |pool_size1
1 |3 |pool_size2
2 |2 |pool_size3
3 |1 |pool_size4
1 |1 |stride_size0
2 |3 |stride_size1
2 |2 |stride_size2
2 |5 |stride_size3
5 |4 |stride_size4
0.4 |0.3 |dropout0
0.3 |0.1 |dropout1
0.4 |0 |dropout2
0.1 |0.4 |dropout3
0.1 |0 |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 07s]
val_loss: 16.94669532775879
Best val_loss So Far: 16.736827850341797
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
32 |256 |filter_unit2
128 |128 |filter_unit3
64 |64 |filter_unit4
5 |3 |kernel_size0
3 |1 |kernel_size1
1 |1 |kernel_size2
4 |5 |kernel_size3
2 |5 |kernel_size4
3 |4 |pool_size0
4 |2 |pool_size1
3 |3 |pool_size2
5 |2 |pool_size3
4 |1 |pool_size4
4 |1 |stride_size0
3 |3 |stride_size1
3 |2 |stride_size2
1 |5 |stride_size3
1 |4 |stride_size4
0.3 |0.3 |dropout0
0 |0.1 |dropout1
0 |0 |dropout2
0.3 |0.4 |dropout3
0 |0 |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 16.692428588867188
Best val_loss So Far: 16.692428588867188
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
64 |32 |filter_unit2
5 |5 |kernel_size0
2 |3 |kernel_size1
5 |1 |kernel_size2
3 |3 |pool_size0
4 |4 |pool_size1
2 |3 |pool_size2
4 |4 |stride_size0
2 |3 |stride_size1
1 |3 |stride_size2
0.2 |0.3 |dropout0
0.4 |0 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 16.506393432617188
Best val_loss So Far: 16.506393432617188
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |64 |filter_unit0
128 |256 |filter_unit1
128 |64 |filter_unit2
5 |5 |kernel_size0
1 |2 |kernel_size1
3 |5 |kernel_size2
3 |3 |pool_size0
5 |4 |pool_size1
4 |2 |pool_size2
3 |4 |stride_size0
3 |2 |stride_size1
4 |1 |stride_size2
0.1 |0.2 |dropout0
0.4 |0.4 |dropout1
0.3 |0.4 |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 16.22560691833496
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
64 |128 |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
3 |5 |kernel_size0
2 |1 |kernel_size1
1 |3 |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
5 |5 |pool_size1
5 |4 |pool_size2
5 |None |pool_size3
3 |None |pool_size4
5 |3 |stride_size0
2 |3 |stride_size1
2 |4 |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0 |0.1 |dropout0
0 |0.4 |dropout1
0.4 |0.3 |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 16.485273361206055
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 29s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
3 |5 |kernel_size0
2 |1 |kernel_size1
4 |3 |pool_size0
4 |5 |pool_size1
3 |3 |stride_size0
3 |3 |stride_size1
0 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 16.915712356567383
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
4 |5 |kernel_size0
2 |1 |kernel_size1
2 |3 |pool_size0
5 |5 |pool_size1
4 |3 |stride_size0
1 |3 |stride_size1
0 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 17.025148391723633
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
32 |128 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |5 |kernel_size0
3 |1 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |3 |pool_size0
2 |5 |pool_size1
1 |4 |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
1 |3 |stride_size1
1 |4 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.2 |0.1 |dropout0
0.4 |0.4 |dropout1
0.3 |0.3 |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 07s]
val_loss: 16.97138214111328
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 43s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
256 |128 |filter_unit2
32 |None |filter_unit3
3 |5 |kernel_size0
1 |1 |kernel_size1
2 |3 |kernel_size2
5 |None |kernel_size3
1 |3 |pool_size0
4 |5 |pool_size1
2 |4 |pool_size2
4 |None |pool_size3
3 |3 |stride_size0
1 |3 |stride_size1
2 |4 |stride_size2
3 |None |stride_size3
0.3 |0.1 |dropout0
0.4 |0.4 |dropout1
0.3 |0.3 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 16.435941696166992
Best val_loss So Far: 16.22560691833496
Total elapsed time: 00h 00m 49s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
256 |128 |filter_unit2
256 |None |filter_unit3
2 |5 |kernel_size0
4 |1 |kernel_size1
2 |3 |kernel_size2
5 |None |kernel_size3
1 |3 |pool_size0
1 |5 |pool_size1
3 |4 |pool_size2
2 |None |pool_size3
3 |3 |stride_size0
5 |3 |stride_size1
1 |4 |stride_size2
5 |None |stride_size3
0.3 |0.1 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 15.020581245422363
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 00m 54s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
5 |2 |kernel_size0
2 |4 |kernel_size1
1 |1 |pool_size0
2 |1 |pool_size1
2 |3 |stride_size0
1 |5 |stride_size1
0.1 |0.3 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 16.918563842773438
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 00m 59s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |32 |filter_unit0
64 |128 |filter_unit1
4 |2 |kernel_size0
2 |4 |kernel_size1
5 |1 |pool_size0
5 |1 |pool_size1
1 |3 |stride_size0
5 |5 |stride_size1
0.4 |0.3 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 17.002290725708008
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
2 |2 |kernel_size0
3 |4 |kernel_size1
1 |1 |pool_size0
3 |1 |pool_size1
2 |3 |stride_size0
3 |5 |stride_size1
0.3 |0.3 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 17.74441909790039
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 06s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |32 |filter_unit0
64 |128 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
2 |4 |kernel_size1
3 |2 |kernel_size2
5 |5 |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
5 |1 |pool_size1
4 |3 |pool_size2
2 |2 |pool_size3
2 |None |pool_size4
4 |3 |stride_size0
1 |5 |stride_size1
4 |1 |stride_size2
4 |5 |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0.1 |0 |dropout2
0.2 |0.1 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 07s]
val_loss: 16.822126388549805
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 13s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |32 |filter_unit0
256 |128 |filter_unit1
32 |256 |filter_unit2
1 |2 |kernel_size0
3 |4 |kernel_size1
4 |2 |kernel_size2
2 |1 |pool_size0
5 |1 |pool_size1
5 |3 |pool_size2
5 |3 |stride_size0
2 |5 |stride_size1
5 |1 |stride_size2
0.3 |0.3 |dropout0
0.4 |0.2 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 16.534029006958008
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |32 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
3 |2 |kernel_size0
5 |4 |kernel_size1
1 |2 |kernel_size2
2 |1 |pool_size0
2 |1 |pool_size1
2 |3 |pool_size2
4 |3 |stride_size0
5 |5 |stride_size1
5 |1 |stride_size2
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 16.693016052246094
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 22s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |32 |filter_unit0
5 |2 |kernel_size0
1 |1 |pool_size0
4 |3 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 17.514299392700195
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |32 |filter_unit0
32 |128 |filter_unit1
1 |2 |kernel_size0
2 |4 |kernel_size1
3 |1 |pool_size0
4 |1 |pool_size1
5 |3 |stride_size0
1 |5 |stride_size1
0.4 |0.3 |dropout0
0.4 |0.2 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.376794815063477
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 28s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
32 |256 |filter_unit2
32 |256 |filter_unit3
128 |None |filter_unit4
5 |2 |kernel_size0
1 |4 |kernel_size1
1 |2 |kernel_size2
4 |5 |kernel_size3
1 |None |kernel_size4
4 |1 |pool_size0
5 |1 |pool_size1
1 |3 |pool_size2
2 |2 |pool_size3
3 |None |pool_size4
2 |3 |stride_size0
4 |5 |stride_size1
3 |1 |stride_size2
5 |5 |stride_size3
2 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.1 |dropout3
0.2 |None |dropout4
[2K
2023-11-24 11:28:41.408104: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at conv_ops_impl.h:359 : INVALID_ARGUMENT: input depth must be evenly divisible by filter depth: 32 vs 128
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 16.71186065673828
Best val_loss So Far: 15.020581245422363
Total elapsed time: 00h 01m 35s
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 2, 'kernel_size1': 4, 'kernel_size2': 2, 'kernel_size3': 5, 'pool_size0': 1, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 2, 'stride_size0': 3, 'stride_size1': 5, 'stride_size2': 1, 'stride_size3': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.0, 'dropout3': 0.1}
Traceback (most recent call last):
File "regress_rr.py", line 1150, in <module>
sens_rr_model(subject,
File "regress_rr.py", line 1047, in sens_rr_model
preds = model.predict(x_test)
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/tensorflow/python/eager/execute.py", line 53, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Graph execution error:
Detected at node 'cnn1d/conv1d_2/Conv1D' defined at (most recent call last):
File "regress_rr.py", line 1150, in <module>
sens_rr_model(subject,
File "regress_rr.py", line 1047, in sens_rr_model
preds = model.predict(x_test)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2554, in predict
tmp_batch_outputs = self.predict_function(iterator)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2341, in predict_function
return step_function(self, iterator)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2327, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2315, in run_step
outputs = model.predict_step(data)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 2283, in predict_step
return self(x, training=False)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/training.py", line 569, in __call__
return super().__call__(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/base_layer.py", line 1150, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/sequential.py", line 405, in call
return super().call(inputs, training=training, mask=mask)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/functional.py", line 512, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/functional.py", line 669, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/engine/base_layer.py", line 1150, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/layers/convolutional/base_conv.py", line 290, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/layers/convolutional/base_conv.py", line 262, in convolution_op
return tf.nn.convolution(
Node: 'cnn1d/conv1d_2/Conv1D'
input depth must be evenly divisible by filter depth: 32 vs 128
[[{{node cnn1d/conv1d_2/Conv1D}}]] [Op:__inference_predict_function_630008]
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).layer_with_weights-4.kernel
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.kernel
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.bias
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-4.bias
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