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
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



Trial 10 Complete [00h 00m 05s]
val_loss: 19.03163719177246

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 29s

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



Trial 11 Complete [00h 00m 07s]
val_loss: 19.32887840270996

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 36s

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


2023-11-24 11:24:40.801847: 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_12/checkpoint_temp/part-00000-of-00001.index; No such file or directory

Trial 12 Complete [00h 00m 06s]
val_loss: 19.35903549194336

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 42s

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


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_12/checkpoint_temp/part-00000-of-00001.index; No such file or directory [Op:MergeV2Checkpoints]

Trial 13 Complete [00h 00m 05s]

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 46s

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



Trial 14 Complete [00h 00m 03s]
val_loss: 18.569255828857422

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 49s

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



Trial 15 Complete [00h 00m 03s]
val_loss: 18.908117294311523

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 52s

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



Trial 16 Complete [00h 00m 07s]
val_loss: 19.16604995727539

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 00m 59s

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



Trial 17 Complete [00h 00m 05s]
val_loss: 20.892244338989258

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 01m 04s

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



Trial 18 Complete [00h 00m 03s]
val_loss: 18.574546813964844

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 01m 07s

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



Trial 19 Complete [00h 00m 06s]
val_loss: 18.831907272338867

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 01m 13s

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



Trial 20 Complete [00h 00m 06s]
val_loss: 19.308879852294922

Best val_loss So Far: 17.58892822265625
Total elapsed time: 00h 01m 19s
{'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: 10.5533WARNING: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 [==============================] - 1s 12ms/step - loss: 11.6809 - lr: 1.0000e-04
Epoch 2/200

1/4 [======>.......................] - ETA: 0s - loss: 11.4239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 11.4781 - lr: 1.0000e-04
Epoch 3/200

1/4 [======>.......................] - ETA: 0s - loss: 11.8800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 11.2128 - lr: 1.0000e-04
Epoch 4/200

1/4 [======>.......................] - ETA: 0s - loss: 12.4457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 11.0468 - lr: 1.0000e-04
Epoch 5/200

1/4 [======>.......................] - ETA: 0s - loss: 9.4368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 10.8106 - lr: 1.0000e-04
Epoch 6/200

1/4 [======>.......................] - ETA: 0s - loss: 10.7812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 10.4925 - lr: 1.0000e-04
Epoch 7/200

1/4 [======>.......................] - ETA: 0s - loss: 10.0460WARNING: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 4ms/step - loss: 10.3192 - lr: 1.0000e-04
Epoch 8/200

1/4 [======>.......................] - ETA: 0s - loss: 11.2087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 10.1092 - lr: 1.0000e-04
Epoch 9/200

1/4 [======>.......................] - ETA: 0s - loss: 9.8187WARNING: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: 9.8648 - lr: 1.0000e-04
Epoch 10/200

1/4 [======>.......................] - ETA: 0s - loss: 9.6437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 9.6583 - lr: 1.0000e-04
Epoch 11/200

1/4 [======>.......................] - ETA: 0s - loss: 9.8563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 9.4347 - lr: 1.0000e-04
Epoch 12/200

1/4 [======>.......................] - ETA: 0s - loss: 8.5848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 9.2227 - lr: 1.0000e-04
Epoch 13/200

1/4 [======>.......................] - ETA: 0s - loss: 7.8611WARNING: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: 9.0198 - lr: 1.0000e-04
Epoch 14/200

1/4 [======>.......................] - ETA: 0s - loss: 9.5467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 8.7932 - lr: 1.0000e-04
Epoch 15/200

1/4 [======>.......................] - ETA: 0s - loss: 8.4923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 8.5423 - lr: 1.0000e-04
Epoch 16/200

1/4 [======>.......................] - ETA: 0s - loss: 7.8918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 8.4220 - lr: 1.0000e-04
Epoch 17/200

1/4 [======>.......................] - ETA: 0s - loss: 8.4983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 8.1437 - lr: 1.0000e-04
Epoch 18/200

1/4 [======>.......................] - ETA: 0s - loss: 7.8185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 7.9821 - lr: 1.0000e-04
Epoch 19/200

1/4 [======>.......................] - ETA: 0s - loss: 9.2059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 7.7417 - lr: 1.0000e-04
Epoch 20/200

1/4 [======>.......................] - ETA: 0s - loss: 7.3970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 7.5250 - lr: 1.0000e-04
Epoch 21/200

1/4 [======>.......................] - ETA: 0s - loss: 7.3648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 7.3756 - lr: 1.0000e-04
Epoch 22/200

1/4 [======>.......................] - ETA: 0s - loss: 7.6395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 7.1947 - lr: 1.0000e-04
Epoch 23/200

1/4 [======>.......................] - ETA: 0s - loss: 6.2715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.9834 - lr: 1.0000e-04
Epoch 24/200

1/4 [======>.......................] - ETA: 0s - loss: 7.4112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.8045 - lr: 1.0000e-04
Epoch 25/200

1/4 [======>.......................] - ETA: 0s - loss: 5.7062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.6184 - lr: 1.0000e-04
Epoch 26/200

1/4 [======>.......................] - ETA: 0s - loss: 6.9224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.4234 - lr: 1.0000e-04
Epoch 27/200

1/4 [======>.......................] - ETA: 0s - loss: 6.0918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.3021 - lr: 1.0000e-04
Epoch 28/200

1/4 [======>.......................] - ETA: 0s - loss: 5.3343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.1494 - lr: 1.0000e-04
Epoch 29/200

1/4 [======>.......................] - ETA: 0s - loss: 5.9048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 6.0522 - lr: 1.0000e-04
Epoch 30/200

1/4 [======>.......................] - ETA: 0s - loss: 6.8315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.9025 - lr: 1.0000e-04
Epoch 31/200

1/4 [======>.......................] - ETA: 0s - loss: 6.2680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.7599 - lr: 1.0000e-04
Epoch 32/200

1/4 [======>.......................] - ETA: 0s - loss: 5.8847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.5626 - lr: 1.0000e-04
Epoch 33/200

1/4 [======>.......................] - ETA: 0s - loss: 5.4414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.5123 - lr: 1.0000e-04
Epoch 34/200

1/4 [======>.......................] - ETA: 0s - loss: 5.8684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.3963 - lr: 1.0000e-04
Epoch 35/200

1/4 [======>.......................] - ETA: 0s - loss: 5.7408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.2791 - lr: 1.0000e-04
Epoch 36/200

1/4 [======>.......................] - ETA: 0s - loss: 5.3419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.2345 - lr: 1.0000e-04
Epoch 37/200

1/4 [======>.......................] - ETA: 0s - loss: 5.8065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.1459 - lr: 1.0000e-04
Epoch 38/200

1/4 [======>.......................] - ETA: 0s - loss: 5.7971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.0971 - lr: 1.0000e-04
Epoch 39/200

1/4 [======>.......................] - ETA: 0s - loss: 5.1431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 5.0933 - lr: 1.0000e-04
Epoch 40/200

1/4 [======>.......................] - ETA: 0s - loss: 4.5224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.9878 - lr: 1.0000e-04
Epoch 41/200

1/4 [======>.......................] - ETA: 0s - loss: 5.2911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.8759 - lr: 1.0000e-04
Epoch 42/200

1/4 [======>.......................] - ETA: 0s - loss: 5.1949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.8987 - lr: 1.0000e-04
Epoch 43/200

1/4 [======>.......................] - ETA: 0s - loss: 5.2341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.7837 - lr: 1.0000e-04
Epoch 44/200

1/4 [======>.......................] - ETA: 0s - loss: 4.8753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.8143 - lr: 1.0000e-04
Epoch 45/200

1/4 [======>.......................] - ETA: 0s - loss: 5.2056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.7528 - lr: 1.0000e-04
Epoch 46/200

1/4 [======>.......................] - ETA: 0s - loss: 3.9117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.6524 - lr: 1.0000e-04
Epoch 47/200

1/4 [======>.......................] - ETA: 0s - loss: 4.8724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.6253 - lr: 1.0000e-04
Epoch 48/200

1/4 [======>.......................] - ETA: 0s - loss: 4.4891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.6153 - lr: 1.0000e-04
Epoch 49/200

1/4 [======>.......................] - ETA: 0s - loss: 4.4311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.5668 - lr: 1.0000e-04
Epoch 50/200

1/4 [======>.......................] - ETA: 0s - loss: 5.6184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.5171 - lr: 1.0000e-04
Epoch 51/200

1/4 [======>.......................] - ETA: 0s - loss: 4.9559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.4704 - lr: 1.0000e-04
Epoch 52/200

1/4 [======>.......................] - ETA: 0s - loss: 4.0122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.4854 - lr: 1.0000e-04
Epoch 53/200

1/4 [======>.......................] - ETA: 0s - loss: 4.3943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.4489 - lr: 1.0000e-04
Epoch 54/200

1/4 [======>.......................] - ETA: 0s - loss: 3.7096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.3988 - lr: 1.0000e-04
Epoch 55/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.3217 - lr: 1.0000e-04
Epoch 56/200

1/4 [======>.......................] - ETA: 0s - loss: 3.4758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.2854 - lr: 1.0000e-04
Epoch 57/200

1/4 [======>.......................] - ETA: 0s - loss: 3.7011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.2575 - lr: 1.0000e-04
Epoch 58/200

1/4 [======>.......................] - ETA: 0s - loss: 4.6381WARNING: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 4ms/step - loss: 4.1977 - lr: 1.0000e-04
Epoch 59/200

1/4 [======>.......................] - ETA: 0s - loss: 4.5722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.1923 - lr: 1.0000e-04
Epoch 60/200

1/4 [======>.......................] - ETA: 0s - loss: 5.6779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.1552 - lr: 1.0000e-04
Epoch 61/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.0590 - lr: 1.0000e-04
Epoch 62/200

1/4 [======>.......................] - ETA: 0s - loss: 4.0408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.1477 - lr: 1.0000e-04
Epoch 63/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.0828 - lr: 1.0000e-04
Epoch 64/200

1/4 [======>.......................] - ETA: 0s - loss: 4.2190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.0430 - lr: 1.0000e-04
Epoch 65/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 4.0081 - lr: 1.0000e-04
Epoch 66/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.9986 - lr: 1.0000e-04
Epoch 67/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.9476 - lr: 1.0000e-04
Epoch 68/200

1/4 [======>.......................] - ETA: 0s - loss: 3.9186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.9072 - lr: 1.0000e-04
Epoch 69/200

1/4 [======>.......................] - ETA: 0s - loss: 4.3455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.9988 - lr: 1.0000e-04
Epoch 70/200

1/4 [======>.......................] - ETA: 0s - loss: 4.5022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.9332 - lr: 1.0000e-04
Epoch 71/200

1/4 [======>.......................] - ETA: 0s - loss: 4.6501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.8991 - lr: 1.0000e-04
Epoch 72/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.8805 - lr: 1.0000e-04
Epoch 73/200

1/4 [======>.......................] - ETA: 0s - loss: 3.9369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.8709 - lr: 1.0000e-04
Epoch 74/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.8794 - lr: 1.0000e-04
Epoch 75/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.8161 - lr: 1.0000e-04
Epoch 76/200

1/4 [======>.......................] - ETA: 0s - loss: 4.7249WARNING: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 4ms/step - loss: 3.7441 - lr: 1.0000e-04
Epoch 77/200

1/4 [======>.......................] - ETA: 0s - loss: 4.3762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.7519 - lr: 1.0000e-04
Epoch 78/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.7674 - lr: 1.0000e-04
Epoch 79/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.7915 - lr: 1.0000e-04
Epoch 80/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.7350 - lr: 1.0000e-04
Epoch 81/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.6820 - lr: 1.0000e-04
Epoch 82/200

1/4 [======>.......................] - ETA: 0s - loss: 4.5948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.6715 - lr: 1.0000e-04
Epoch 83/200

1/4 [======>.......................] - ETA: 0s - loss: 5.3476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.5921 - lr: 1.0000e-04
Epoch 84/200

1/4 [======>.......................] - ETA: 0s - loss: 4.1302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.5933 - lr: 1.0000e-04
Epoch 85/200

1/4 [======>.......................] - ETA: 0s - loss: 4.6694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.7053 - lr: 1.0000e-04
Epoch 86/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9668WARNING: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 4ms/step - loss: 3.5988 - lr: 1.0000e-04
Epoch 87/200

1/4 [======>.......................] - ETA: 0s - loss: 4.4459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.5802 - lr: 1.0000e-04
Epoch 88/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.5125 - lr: 1.0000e-04
Epoch 89/200

1/4 [======>.......................] - ETA: 0s - loss: 4.0499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.5279 - lr: 1.0000e-04
Epoch 90/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4911 - lr: 1.0000e-04
Epoch 91/200

1/4 [======>.......................] - ETA: 0s - loss: 3.4684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4806 - lr: 1.0000e-04
Epoch 92/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4902 - lr: 1.0000e-04
Epoch 93/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0620WARNING: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 4ms/step - loss: 3.4952 - lr: 1.0000e-04
Epoch 94/200

1/4 [======>.......................] - ETA: 0s - loss: 4.4966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4699 - lr: 1.0000e-04
Epoch 95/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4213 - lr: 1.0000e-04
Epoch 96/200

1/4 [======>.......................] - ETA: 0s - loss: 2.6321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4215 - lr: 1.0000e-04
Epoch 97/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4190 - lr: 1.0000e-04
Epoch 98/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3235 - lr: 1.0000e-04
Epoch 99/200

1/4 [======>.......................] - ETA: 0s - loss: 3.8162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3501 - lr: 1.0000e-04
Epoch 100/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3965 - lr: 1.0000e-04
Epoch 101/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3226 - lr: 9.0484e-05
Epoch 102/200

1/4 [======>.......................] - ETA: 0s - loss: 4.0284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3459 - lr: 8.1873e-05
Epoch 103/200

1/4 [======>.......................] - ETA: 0s - loss: 3.3483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2979 - lr: 7.4082e-05
Epoch 104/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2577 - lr: 6.7032e-05
Epoch 105/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4744 - lr: 6.0653e-05
Epoch 106/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3314 - lr: 5.4881e-05
Epoch 107/200

1/4 [======>.......................] - ETA: 0s - loss: 3.4517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2718 - lr: 4.9659e-05
Epoch 108/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.4592 - lr: 4.4933e-05
Epoch 109/200

1/4 [======>.......................] - ETA: 0s - loss: 2.8529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2816 - lr: 4.0657e-05
Epoch 110/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3212 - lr: 3.6788e-05
Epoch 111/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2295 - lr: 3.3287e-05
Epoch 112/200

1/4 [======>.......................] - ETA: 0s - loss: 4.0857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2867 - lr: 3.0119e-05
Epoch 113/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3283 - lr: 2.7253e-05
Epoch 114/200

1/4 [======>.......................] - ETA: 0s - loss: 4.1413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2215 - lr: 2.4660e-05
Epoch 115/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2852 - lr: 2.2313e-05
Epoch 116/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2499 - lr: 2.0190e-05
Epoch 117/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1666 - lr: 1.8268e-05
Epoch 118/200

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: 3.2967 - lr: 1.6530e-05
Epoch 119/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2000 - lr: 1.4957e-05
Epoch 120/200

1/4 [======>.......................] - ETA: 0s - loss: 4.1796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2286 - lr: 1.3534e-05
Epoch 121/200

1/4 [======>.......................] - ETA: 0s - loss: 2.6626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2603 - lr: 1.2246e-05
Epoch 122/200

1/4 [======>.......................] - ETA: 0s - loss: 3.3195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2065 - lr: 1.1080e-05
Epoch 123/200

1/4 [======>.......................] - ETA: 0s - loss: 2.8076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1944 - lr: 1.0026e-05
Epoch 124/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2904 - lr: 9.0718e-06
Epoch 125/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2185 - lr: 8.2085e-06
Epoch 126/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2994 - lr: 7.4273e-06
Epoch 127/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1711 - lr: 6.7205e-06
Epoch 128/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2716 - lr: 6.0810e-06
Epoch 129/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2227 - lr: 5.5023e-06
Epoch 130/200

1/4 [======>.......................] - ETA: 0s - loss: 2.0489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2907 - lr: 4.9787e-06
Epoch 131/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1514 - lr: 4.5049e-06
Epoch 132/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2318 - lr: 4.0762e-06
Epoch 133/200

1/4 [======>.......................] - ETA: 0s - loss: 4.2257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1914 - lr: 3.6883e-06
Epoch 134/200

1/4 [======>.......................] - ETA: 0s - loss: 3.8514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3056 - lr: 3.3373e-06
Epoch 135/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2860 - lr: 3.0197e-06
Epoch 136/200

1/4 [======>.......................] - ETA: 0s - loss: 3.3975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2561 - lr: 2.7324e-06
Epoch 137/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2362 - lr: 2.4723e-06
Epoch 138/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2434 - lr: 2.2371e-06
Epoch 139/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2433 - lr: 2.0242e-06
Epoch 140/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1885 - lr: 1.8316e-06
Epoch 141/200

1/4 [======>.......................] - ETA: 0s - loss: 3.3842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1417 - lr: 1.6573e-06
Epoch 142/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1720 - lr: 1.4996e-06
Epoch 143/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2716 - lr: 1.3569e-06
Epoch 144/200

1/4 [======>.......................] - ETA: 0s - loss: 2.8726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2174 - lr: 1.2277e-06
Epoch 145/200

1/4 [======>.......................] - ETA: 0s - loss: 3.8543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1755 - lr: 1.1109e-06
Epoch 146/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1761 - lr: 1.0052e-06
Epoch 147/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3524 - lr: 9.0953e-07
Epoch 148/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1976 - lr: 8.2297e-07
Epoch 149/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2883 - lr: 7.4466e-07
Epoch 150/200

1/4 [======>.......................] - ETA: 0s - loss: 3.7285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1983 - lr: 6.7379e-07
Epoch 151/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2176 - lr: 6.0967e-07
Epoch 152/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3274 - lr: 5.5165e-07
Epoch 153/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2554 - lr: 4.9916e-07
Epoch 154/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2671 - lr: 4.5166e-07
Epoch 155/200

1/4 [======>.......................] - ETA: 0s - loss: 4.8600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2411 - lr: 4.0868e-07
Epoch 156/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1686 - lr: 3.6979e-07
Epoch 157/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.3174 - lr: 3.3460e-07
Epoch 158/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2430 - lr: 3.0275e-07
Epoch 159/200

1/4 [======>.......................] - ETA: 0s - loss: 2.4172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2589 - lr: 2.7394e-07
Epoch 160/200

1/4 [======>.......................] - ETA: 0s - loss: 3.7407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1781 - lr: 2.4787e-07
Epoch 161/200

1/4 [======>.......................] - ETA: 0s - loss: 3.9161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2142 - lr: 2.2429e-07
Epoch 162/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2015 - lr: 2.0294e-07
Epoch 163/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.1696 - lr: 1.8363e-07
Epoch 164/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2125 - lr: 1.6616e-07
Epoch 165/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2395 - lr: 1.5034e-07
Epoch 166/200

1/4 [======>.......................] - ETA: 0s - loss: 3.5023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 4ms/step - loss: 3.2170 - lr: 1.3604e-07
Epoch 167/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
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