2023-11-24 12:34:24.890691: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Using TensorFlow backend
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
Using pre-set data id: 1
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
2023-11-24 12:36:40.270699: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.035589: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.035830: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
input shape: (1440, 6)
x shape: (120, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.0}
2023-11-24 12:36:43.462118: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.462331: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:36:43.462473: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325218: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325450: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325612: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 12:37:07.325738: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14720 MB memory: -> device: 0, name: Quadro RTX 5000, pci bus id: 0000:0b:00.0, compute capability: 7.5
2023-11-24 12:37:51.398601: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
1/39 [..............................] - ETA: 43:41
23/39 [================>.............] - ETA: 0s
39/39 [==============================] - 69s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
QStandardPaths: XDG_RUNTIME_DIR points to non-existing path '/run/user/56779', please create it with 0700 permissions.
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 2, 'stride_size0': 3, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0
train
(35921, 10)
test
(364536, 9)
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
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 2, 'filter_unit0': 128, 'filter_unit1': 128, 'kernel_size0': 1, 'kernel_size1': 3, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.1, 'dropout1': 0.30000000000000004}
1/39 [..............................] - ETA: 10s
24/39 [=================>............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 3, 'dropout0': 0.1}
1/39 [..............................] - ETA: 5s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0/bayesianoptimization/tuner0.json
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
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
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 1, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.1}
1/39 [..............................] - ETA: 5s
26/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-17.0/bayesianoptimization/tuner0.json
{'n_layers': 4, 'filter_unit0': 256, 'filter_unit1': 64, 'filter_unit2': 64, 'filter_unit3': 256, 'kernel_size0': 3, 'kernel_size1': 4, 'kernel_size2': 5, 'kernel_size3': 5, 'pool_size0': 2, 'pool_size1': 5, 'pool_size2': 5, 'pool_size3': 3, 'stride_size0': 4, 'stride_size1': 5, 'stride_size2': 3, 'stride_size3': 2, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.1, 'dropout3': 0.4}
1/39 [..............................] - ETA: 16s
17/39 [============>.................] - ETA: 0s
32/39 [=======================>......] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 5ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-20.0/bayesianoptimization/tuner0.json
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
488 Pilot02 1 cnn1d ... -8.201755 0.040745 0.150607
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
[493 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-12.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-12.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
4 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |1 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0.4 |0.3 |dropout0
0 |None |dropout1
0.2 |None |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
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
2023-11-24 12:39:12.310902: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x28392150 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-24 12:39:12.310937: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Quadro RTX 5000, Compute Capability 7.5
2023-11-24 12:39:13.166472: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-11-24 12:39:16.874843: I ./tensorflow/compiler/jit/device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.
[2K
[2K
Trial 14 Complete [00h 00m 19s]
val_loss: 19.948514938354492
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 19s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
2 |5 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |2 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0 |0.3 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.977214813232422
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 23s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |2 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
4 |1 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.4 |0.3 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.71240234375
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 29s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
1 |5 |kernel_size0
4 |2 |pool_size0
3 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 18.93415069580078
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 32s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |2 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |1 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0 |0.3 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 20.330055236816406
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 35s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
2 |5 |kernel_size0
4 |2 |pool_size0
1 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.9627742767334
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 38s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
2 |5 |kernel_size0
1 |2 |pool_size0
4 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 20.10272216796875
Best val_loss So Far: 17.848011016845703
Total elapsed time: 00h 00m 41s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
489 Pilot02 1 cnn1d ... -5.133131 -0.075199 0.007919
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
[494 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-7.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-7.0-15.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
64 |256 |filter_unit1
256 |32 |filter_unit2
3 |3 |kernel_size0
4 |2 |kernel_size1
2 |5 |kernel_size2
2 |3 |pool_size0
1 |4 |pool_size1
5 |3 |pool_size2
4 |5 |stride_size0
4 |4 |stride_size1
2 |1 |stride_size2
0.3 |0.3 |dropout0
0.3 |0 |dropout1
0.2 |0.2 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.745956420898438
Best val_loss So Far: 19.745956420898438
Total elapsed time: 00h 00m 04s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |128 |filter_unit0
64 |64 |filter_unit1
64 |256 |filter_unit2
2 |3 |kernel_size0
3 |4 |kernel_size1
3 |2 |kernel_size2
3 |2 |pool_size0
2 |1 |pool_size1
5 |5 |pool_size2
5 |4 |stride_size0
1 |4 |stride_size1
3 |2 |stride_size2
0.1 |0.3 |dropout0
0 |0.3 |dropout1
0.2 |0.2 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 18.206138610839844
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 08s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |32 |filter_unit0
128 |64 |filter_unit1
5 |2 |kernel_size0
4 |3 |kernel_size1
2 |3 |pool_size0
5 |2 |pool_size1
5 |5 |stride_size0
1 |1 |stride_size1
0 |0.1 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 21.47319221496582
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 11s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |32 |filter_unit0
32 |64 |filter_unit1
64 |64 |filter_unit2
2 |2 |kernel_size0
2 |3 |kernel_size1
3 |3 |kernel_size2
2 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
1 |5 |stride_size0
4 |1 |stride_size1
2 |3 |stride_size2
0.3 |0.1 |dropout0
0.2 |0 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 20.611499786376953
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 15s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
128 |64 |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
5 |2 |kernel_size0
5 |3 |kernel_size1
1 |3 |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
5 |3 |pool_size0
5 |2 |pool_size1
4 |5 |pool_size2
1 |None |pool_size3
5 |None |pool_size4
3 |5 |stride_size0
1 |1 |stride_size1
4 |3 |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.1 |dropout0
0.1 |0 |dropout1
0 |0.2 |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.57388687133789
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 21s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
64 |64 |filter_unit1
128 |64 |filter_unit2
5 |2 |kernel_size0
4 |3 |kernel_size1
2 |3 |kernel_size2
1 |3 |pool_size0
3 |2 |pool_size1
5 |5 |pool_size2
2 |5 |stride_size0
3 |1 |stride_size1
5 |3 |stride_size2
0.2 |0.1 |dropout0
0.1 |0 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.458520889282227
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 26s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
2 |2 |kernel_size0
5 |3 |pool_size0
4 |5 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 02s]
val_loss: 19.17325210571289
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 28s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
128 |64 |filter_unit1
2 |2 |kernel_size0
4 |3 |kernel_size1
3 |3 |pool_size0
5 |2 |pool_size1
3 |5 |stride_size0
1 |1 |stride_size1
0.3 |0.1 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 20.84556770324707
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 31s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
256 |64 |filter_unit1
32 |64 |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |2 |kernel_size0
2 |3 |kernel_size1
4 |3 |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |3 |pool_size0
1 |2 |pool_size1
4 |5 |pool_size2
2 |None |pool_size3
2 |None |pool_size4
1 |5 |stride_size0
1 |1 |stride_size1
3 |3 |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.1 |0 |dropout1
0.2 |0.2 |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 08s]
val_loss: 19.78307342529297
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 39s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
5 |2 |kernel_size0
3 |3 |pool_size0
4 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.014354705810547
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 42s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
1 |2 |kernel_size0
2 |3 |pool_size0
5 |5 |stride_size0
0.3 |0.1 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 19.431930541992188
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 45s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
32 |64 |filter_unit1
32 |64 |filter_unit2
5 |2 |kernel_size0
5 |3 |kernel_size1
2 |3 |kernel_size2
1 |3 |pool_size0
2 |2 |pool_size1
2 |5 |pool_size2
3 |5 |stride_size0
1 |1 |stride_size1
4 |3 |stride_size2
0.1 |0.1 |dropout0
0.4 |0 |dropout1
0.4 |0.2 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.032703399658203
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 49s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
3 |2 |kernel_size0
4 |3 |kernel_size1
3 |3 |pool_size0
3 |2 |pool_size1
5 |5 |stride_size0
1 |1 |stride_size1
0.4 |0.1 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.42064094543457
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 52s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
32 |64 |filter_unit1
256 |64 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |2 |kernel_size0
1 |3 |kernel_size1
2 |3 |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
5 |2 |pool_size1
4 |5 |pool_size2
5 |None |pool_size3
4 |None |pool_size4
2 |5 |stride_size0
2 |1 |stride_size1
5 |3 |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.4 |0.1 |dropout0
0.3 |0 |dropout1
0.1 |0.2 |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 19.62031364440918
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 00m 58s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
256 |64 |filter_unit2
128 |None |filter_unit3
4 |2 |kernel_size0
2 |3 |kernel_size1
3 |3 |kernel_size2
3 |None |kernel_size3
5 |3 |pool_size0
5 |2 |pool_size1
3 |5 |pool_size2
5 |None |pool_size3
5 |5 |stride_size0
5 |1 |stride_size1
1 |3 |stride_size2
2 |None |stride_size3
0.4 |0.1 |dropout0
0 |0 |dropout1
0.3 |0.2 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.671598434448242
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 01m 04s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
3 |2 |kernel_size0
1 |3 |pool_size0
1 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.858600616455078
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 01m 07s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
1 |2 |kernel_size0
5 |3 |pool_size0
4 |5 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 18.781076431274414
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 01m 09s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
32 |64 |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
4 |2 |kernel_size0
1 |3 |kernel_size1
5 |3 |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
3 |3 |pool_size0
2 |2 |pool_size1
2 |5 |pool_size2
1 |None |pool_size3
5 |None |pool_size4
3 |5 |stride_size0
1 |1 |stride_size1
1 |3 |stride_size2
4 |None |stride_size3
2 |None |stride_size4
0.4 |0.1 |dropout0
0.1 |0 |dropout1
0.2 |0.2 |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.779579162597656
Best val_loss So Far: 18.206138610839844
Total elapsed time: 00h 01m 15s
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 64, 'filter_unit2': 64, 'kernel_size0': 2, 'kernel_size1': 3, 'kernel_size2': 3, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 3, 'dropout0': 0.1, 'dropout1': 0.0, 'dropout2': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 24.0829
4/4 [==============================] - ETA: 0s - loss: 21.7397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 29ms/step - loss: 21.7397 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 22.2427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 20.9559 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 18.1814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 20.2449 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.1133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 19.5195 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 19.3419WARNING: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 5ms/step - loss: 18.7311 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 18.1998WARNING: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 5ms/step - loss: 18.0176 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 16.8094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 17.0861 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 16.2653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 16.7211 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 15.8715 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 15.0700 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.7859 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.0521 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.3187 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.8176 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.3049 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.7579 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.2351 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.8956 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.4126 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7148 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4922 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.1319 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.7773 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.2776 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0271WARNING: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 5ms/step - loss: 8.1392 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.7891 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3148 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1588 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.9620 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.6814 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3409 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2530 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6525WARNING: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 5ms/step - loss: 6.0015 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7716 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7285 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2577WARNING: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 5ms/step - loss: 5.6468 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5159 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2555 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2197 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2273 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0535 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3220 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8814 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7882 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7087 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4131 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5662 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4424 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3829 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2214 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2022 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9740 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0052 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0082 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9231 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8500 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8183 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6637 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7887 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4112 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5215 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5610 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4443 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3482 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3057 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4883 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1120 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2914 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2396 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1054 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8735 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6766WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3996 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1998WARNING: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 5ms/step - loss: 2.8477 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9526 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8084 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9498 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4349 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8037 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9067 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9461 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5826WARNING: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 5ms/step - loss: 2.9754 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6524 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7162 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8676 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7020 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6374 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5210 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4858 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0127 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8869 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6023 - lr: 1.0000e-04
Epoch 92/200
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 5ms/step - loss: 2.7031 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4422 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5270 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6089 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6083 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5435 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4619 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4863 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2191 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4365 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3770 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2567 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3206 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0148 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5084 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3045 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3405 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1989 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3928 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3279 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5488 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4567 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2008 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1486 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3726 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2065 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3733 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2092 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5740 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2669 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2034 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4854 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4912 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3694 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4683 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7011 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4917 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1791 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4926 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1596 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3960 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2212 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4115 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5237 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2848 - lr: 2.7324e-06
Epoch 137/200
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 5ms/step - loss: 2.0419 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1535 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2895 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3352 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1811 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2351 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2760 - lr: 1.3569e-06
Epoch 144/200
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 5ms/step - loss: 2.5170 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0395 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0626 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5886 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1383 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3986 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6567 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2558 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3363 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1516 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0412WARNING: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 5ms/step - loss: 2.1933 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4491 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0834 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4290 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8536 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4147 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3170 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2336 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4660 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3320 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5511 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2995 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5328 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2313 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2162 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5437 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2300 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4830 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5911 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0422 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1597 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1949WARNING: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 5ms/step - loss: 2.0121 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1578 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1693 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9141 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3252 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0850 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3875 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3003 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2883 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4116 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2962 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1705 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1066 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0960 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1817 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3727 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5992 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3010 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0757 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3317 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2053 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2438 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1629 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0620 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4056 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8121WARNING: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 5ms/step - loss: 2.2906 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 64, 'filter_unit2': 64, 'kernel_size0': 2, 'kernel_size1': 3, 'kernel_size2': 3, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 3, 'dropout0': 0.1, 'dropout1': 0.0, 'dropout2': 0.2}
1/39 [..............................] - ETA: 10s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
490 Pilot02 1 cnn1d ... -4.693582 -0.035724 0.207622
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
[495 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-17.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
256 |256 |filter_unit2
5 |5 |kernel_size0
3 |3 |kernel_size1
4 |4 |kernel_size2
4 |4 |pool_size0
4 |4 |pool_size1
4 |4 |pool_size2
5 |5 |stride_size0
5 |5 |stride_size1
5 |5 |stride_size2
0.3 |0.3 |dropout0
0.4 |0.4 |dropout1
0.3 |0.3 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 15.549690246582031
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
64 |256 |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
2 |5 |kernel_size0
2 |3 |kernel_size1
4 |4 |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
5 |4 |pool_size0
5 |4 |pool_size1
5 |4 |pool_size2
1 |None |pool_size3
3 |None |pool_size4
1 |5 |stride_size0
5 |5 |stride_size1
3 |5 |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.3 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 16.72626495361328
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 12s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |256 |filter_unit0
2 |5 |kernel_size0
2 |4 |pool_size0
4 |5 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 15.780876159667969
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |256 |filter_unit0
128 |256 |filter_unit1
256 |256 |filter_unit2
32 |None |filter_unit3
3 |5 |kernel_size0
2 |3 |kernel_size1
5 |4 |kernel_size2
1 |None |kernel_size3
4 |4 |pool_size0
1 |4 |pool_size1
1 |4 |pool_size2
1 |None |pool_size3
1 |5 |stride_size0
2 |5 |stride_size1
5 |5 |stride_size2
4 |None |stride_size3
0.1 |0.3 |dropout0
0 |0.4 |dropout1
0.2 |0.3 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 16.449926376342773
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
64 |256 |filter_unit1
64 |256 |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
2 |3 |kernel_size1
2 |4 |kernel_size2
2 |None |kernel_size3
1 |4 |pool_size0
4 |4 |pool_size1
1 |4 |pool_size2
3 |None |pool_size3
3 |5 |stride_size0
5 |5 |stride_size1
4 |5 |stride_size2
2 |None |stride_size3
0.2 |0.3 |dropout0
0.1 |0.4 |dropout1
0.3 |0.3 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 16.867578506469727
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
64 |256 |filter_unit2
5 |5 |kernel_size0
1 |3 |kernel_size1
2 |4 |kernel_size2
2 |4 |pool_size0
3 |4 |pool_size1
3 |4 |pool_size2
4 |5 |stride_size0
3 |5 |stride_size1
4 |5 |stride_size2
0.1 |0.3 |dropout0
0.3 |0.4 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 17.19329261779785
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 30s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |256 |filter_unit0
32 |256 |filter_unit1
3 |5 |kernel_size0
4 |3 |kernel_size1
2 |4 |pool_size0
3 |4 |pool_size1
4 |5 |stride_size0
1 |5 |stride_size1
0.3 |0.3 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 17.65382194519043
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
64 |256 |filter_unit1
32 |256 |filter_unit2
2 |5 |kernel_size0
4 |3 |kernel_size1
3 |4 |kernel_size2
5 |4 |pool_size0
3 |4 |pool_size1
3 |4 |pool_size2
1 |5 |stride_size0
1 |5 |stride_size1
1 |5 |stride_size2
0.4 |0.3 |dropout0
0 |0.4 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 16.759624481201172
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 38s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
256 |256 |filter_unit1
128 |256 |filter_unit2
2 |5 |kernel_size0
1 |3 |kernel_size1
3 |4 |kernel_size2
4 |4 |pool_size0
3 |4 |pool_size1
4 |4 |pool_size2
4 |5 |stride_size0
2 |5 |stride_size1
3 |5 |stride_size2
0.3 |0.3 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 16.287906646728516
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |256 |filter_unit0
1 |5 |kernel_size0
4 |4 |pool_size0
2 |5 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 02s]
val_loss: 19.203983306884766
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 44s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
128 |256 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
4 |5 |kernel_size0
1 |3 |kernel_size1
4 |4 |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
3 |4 |pool_size0
1 |4 |pool_size1
4 |4 |pool_size2
2 |None |pool_size3
5 |None |pool_size4
4 |5 |stride_size0
2 |5 |stride_size1
3 |5 |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.1 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 16.74260902404785
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 50s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
32 |256 |filter_unit1
64 |256 |filter_unit2
128 |None |filter_unit3
1 |5 |kernel_size0
2 |3 |kernel_size1
3 |4 |kernel_size2
2 |None |kernel_size3
5 |4 |pool_size0
4 |4 |pool_size1
4 |4 |pool_size2
4 |None |pool_size3
3 |5 |stride_size0
3 |5 |stride_size1
4 |5 |stride_size2
1 |None |stride_size3
0 |0.3 |dropout0
0.1 |0.4 |dropout1
0 |0.3 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 16.710918426513672
Best val_loss So Far: 15.549690246582031
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |256 |filter_unit0
4 |5 |kernel_size0
2 |4 |pool_size0
5 |5 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 15.252945899963379
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
1 |4 |kernel_size0
4 |2 |pool_size0
4 |5 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 17.000974655151367
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 02s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |128 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
3 |4 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
2 |2 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
1 |5 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0 |0.3 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 16.423913955688477
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 08s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
2 |4 |kernel_size0
4 |None |kernel_size1
4 |2 |pool_size0
2 |None |pool_size1
5 |5 |stride_size0
2 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 17.38715362548828
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 11s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
1 |4 |kernel_size0
2 |2 |pool_size0
2 |5 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 17.04624366760254
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 13s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |128 |filter_unit0
64 |None |filter_unit1
5 |4 |kernel_size0
2 |None |kernel_size1
5 |2 |pool_size0
5 |None |pool_size1
2 |5 |stride_size0
1 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 17.852888107299805
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 17s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
3 |4 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
1 |2 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
1 |5 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
0 |0.3 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 16.044113159179688
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 21s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
4 |4 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
5 |2 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
4 |5 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0 |0.3 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 17.071748733520508
Best val_loss So Far: 15.252945899963379
Total elapsed time: 00h 01m 26s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 4, 'pool_size0': 2, 'stride_size0': 5, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - 0s 1ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
491 Pilot02 1 cnn1d ... -11.676574 0.035630 0.208814
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
[496 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |2 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |2 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
1 |1 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
0.3 |0.1 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.352916717529297
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 05s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
32 |128 |filter_unit2
64 |None |filter_unit3
4 |1 |kernel_size0
5 |4 |kernel_size1
1 |4 |kernel_size2
1 |None |kernel_size3
1 |2 |pool_size0
2 |2 |pool_size1
4 |3 |pool_size2
3 |None |pool_size3
2 |1 |stride_size0
3 |5 |stride_size1
3 |3 |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0.3 |0.4 |dropout1
0.4 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.37083625793457
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 10s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |32 |filter_unit0
64 |64 |filter_unit1
64 |128 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |1 |kernel_size0
4 |4 |kernel_size1
2 |4 |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
1 |2 |pool_size0
2 |2 |pool_size1
5 |3 |pool_size2
2 |None |pool_size3
3 |None |pool_size4
4 |1 |stride_size0
2 |5 |stride_size1
3 |3 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.4 |dropout1
0.4 |0.3 |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 19.378751754760742
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
1 |1 |kernel_size0
2 |2 |pool_size0
3 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.662921905517578
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
256 |64 |filter_unit1
64 |128 |filter_unit2
2 |1 |kernel_size0
1 |4 |kernel_size1
5 |4 |kernel_size2
5 |2 |pool_size0
1 |2 |pool_size1
5 |3 |pool_size2
5 |1 |stride_size0
5 |5 |stride_size1
1 |3 |stride_size2
0.3 |0.3 |dropout0
0.3 |0.4 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.479150772094727
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 23s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |32 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
3 |1 |kernel_size0
3 |4 |kernel_size1
4 |4 |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
1 |2 |pool_size0
5 |2 |pool_size1
4 |3 |pool_size2
4 |None |pool_size3
5 |None |pool_size4
5 |1 |stride_size0
5 |5 |stride_size1
2 |3 |stride_size2
2 |None |stride_size3
5 |None |stride_size4
0.2 |0.3 |dropout0
0 |0.4 |dropout1
0.2 |0.3 |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.385587692260742
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
1 |1 |kernel_size0
2 |2 |pool_size0
4 |1 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.801551818847656
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
64 |64 |filter_unit1
5 |1 |kernel_size0
4 |4 |kernel_size1
2 |2 |pool_size0
4 |2 |pool_size1
4 |1 |stride_size0
3 |5 |stride_size1
0.1 |0.3 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.92585563659668
Best val_loss So Far: 19.352916717529297
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
64 |64 |filter_unit1
64 |128 |filter_unit2
3 |1 |kernel_size0
2 |4 |kernel_size1
3 |4 |kernel_size2
5 |2 |pool_size0
5 |2 |pool_size1
2 |3 |pool_size2
5 |1 |stride_size0
3 |5 |stride_size1
2 |3 |stride_size2
0.4 |0.3 |dropout0
0.3 |0.4 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 19.284528732299805
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
2 |3 |kernel_size0
5 |2 |kernel_size1
2 |5 |pool_size0
1 |5 |pool_size1
3 |5 |stride_size0
5 |3 |stride_size1
0.2 |0.4 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.50843620300293
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 00m 45s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
32 |64 |filter_unit2
256 |None |filter_unit3
2 |3 |kernel_size0
4 |2 |kernel_size1
5 |3 |kernel_size2
2 |None |kernel_size3
4 |5 |pool_size0
3 |5 |pool_size1
3 |2 |pool_size2
1 |None |pool_size3
5 |5 |stride_size0
1 |3 |stride_size1
1 |2 |stride_size2
4 |None |stride_size3
0 |0.4 |dropout0
0 |0.3 |dropout1
0.2 |0.3 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.505571365356445
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |128 |filter_unit0
256 |64 |filter_unit1
32 |64 |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
3 |3 |kernel_size0
4 |2 |kernel_size1
4 |3 |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
3 |5 |pool_size1
3 |2 |pool_size2
2 |None |pool_size3
3 |None |pool_size4
3 |5 |stride_size0
3 |3 |stride_size1
4 |2 |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.4 |dropout0
0.4 |0.3 |dropout1
0.1 |0.3 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 19.32008171081543
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 00m 58s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
3 |5 |pool_size0
5 |5 |pool_size1
1 |5 |stride_size0
3 |3 |stride_size1
0.1 |0.4 |dropout0
0.4 |0.3 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 20.506267547607422
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 01m 01s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |128 |filter_unit0
64 |64 |filter_unit1
64 |64 |filter_unit2
4 |3 |kernel_size0
4 |2 |kernel_size1
1 |3 |kernel_size2
3 |5 |pool_size0
3 |5 |pool_size1
2 |2 |pool_size2
3 |5 |stride_size0
4 |3 |stride_size1
1 |2 |stride_size2
0.1 |0.4 |dropout0
0.2 |0.3 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.285181045532227
Best val_loss So Far: 19.284528732299805
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |128 |filter_unit0
32 |64 |filter_unit1
32 |64 |filter_unit2
4 |3 |kernel_size0
3 |2 |kernel_size1
2 |3 |kernel_size2
2 |5 |pool_size0
2 |5 |pool_size1
3 |2 |pool_size2
3 |5 |stride_size0
5 |3 |stride_size1
5 |2 |stride_size2
0.1 |0.4 |dropout0
0 |0.3 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 19.004167556762695
Best val_loss So Far: 19.004167556762695
Total elapsed time: 00h 01m 09s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
64 |32 |filter_unit2
4 |4 |kernel_size0
4 |3 |kernel_size1
4 |2 |kernel_size2
5 |2 |pool_size0
4 |2 |pool_size1
2 |3 |pool_size2
2 |3 |stride_size0
3 |5 |stride_size1
2 |5 |stride_size2
0.2 |0.1 |dropout0
0 |0 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.13030242919922
Best val_loss So Far: 19.004167556762695
Total elapsed time: 00h 01m 14s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
64 |32 |filter_unit1
4 |4 |kernel_size0
5 |3 |kernel_size1
4 |2 |pool_size0
4 |2 |pool_size1
2 |3 |stride_size0
4 |5 |stride_size1
0.2 |0.1 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 20.07299041748047
Best val_loss So Far: 19.004167556762695
Total elapsed time: 00h 01m 17s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |256 |filter_unit0
64 |32 |filter_unit1
128 |32 |filter_unit2
1 |4 |kernel_size0
4 |3 |kernel_size1
3 |2 |kernel_size2
3 |2 |pool_size0
1 |2 |pool_size1
1 |3 |pool_size2
4 |3 |stride_size0
2 |5 |stride_size1
2 |5 |stride_size2
0 |0.1 |dropout0
0.4 |0 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.394681930541992
Best val_loss So Far: 19.004167556762695
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |256 |filter_unit0
256 |32 |filter_unit1
256 |32 |filter_unit2
256 |None |filter_unit3
5 |4 |kernel_size0
1 |3 |kernel_size1
5 |2 |kernel_size2
2 |None |kernel_size3
5 |2 |pool_size0
1 |2 |pool_size1
4 |3 |pool_size2
2 |None |pool_size3
4 |3 |stride_size0
5 |5 |stride_size1
4 |5 |stride_size2
4 |None |stride_size3
0.1 |0.1 |dropout0
0.2 |0 |dropout1
0.1 |0.2 |dropout2
0 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 18.78685760498047
Best val_loss So Far: 18.78685760498047
Total elapsed time: 00h 01m 28s
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 256, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 5, 'kernel_size3': 2, 'pool_size0': 5, 'pool_size1': 1, 'pool_size2': 4, 'pool_size3': 2, 'stride_size0': 4, 'stride_size1': 5, 'stride_size2': 4, 'stride_size3': 4, 'dropout0': 0.1, 'dropout1': 0.2, 'dropout2': 0.1, 'dropout3': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 13.8921
4/4 [==============================] - ETA: 0s - loss: 15.6780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 46ms/step - loss: 15.6780 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 15.2555 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 14.4500 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 13.6300 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 12.9998 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 12.3221 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 11.7539 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 10.9047 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 10.2521 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 9.5218 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 9.2379 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 8.5414 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 7.9185 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 7.6846 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 7.1419 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.6269 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.4491 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.6808 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7251WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.5162 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.2306 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.7174 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.5639 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.4794 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.8389 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.7123 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.6518 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.5673 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.3029 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.2368 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.9856 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.1268 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6958 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.7839 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.8681 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6204 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5371 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5091 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4550 - lr: 1.0000e-04
Epoch 39/200
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 7ms/step - loss: 2.4456 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2526 - lr: 1.0000e-04
Epoch 41/200
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 7ms/step - loss: 2.1839 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1804 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1986 - lr: 1.0000e-04
Epoch 44/200
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 7ms/step - loss: 2.0083 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8556 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0563 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7411 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0503 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8800 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8674 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7937 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9287WARNING: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 7ms/step - loss: 1.9061 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9763 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1902WARNING: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: 1.8104 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7933 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7993 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4985 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6723 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5067 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4879WARNING: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 7ms/step - loss: 1.7549 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0949 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 1.4251 - lr: 1.0000e-04
Epoch 63/200
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 7ms/step - loss: 1.5595 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6577 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6686 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4395 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1949WARNING: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 7ms/step - loss: 1.4201 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3867 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5571 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7248 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5433 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4889 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3281 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5297 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4010 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4953 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7540 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4869 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3110 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3861 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5124 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3405 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2545 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4891 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3995 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3996 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6471 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5404 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4947 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5561 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4426 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4688 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4992 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5033 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6054 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2442 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4470 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2474 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4957 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1959 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4263 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5180 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4835 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3677 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2509 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3713 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2499 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3683 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4689 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5492 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3100 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3881 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4042 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4829 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3424 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2623 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4490 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3119 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2515 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2920 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4068 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2672 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4157 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3392 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2316 - lr: 8.2085e-06
Epoch 126/200
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 7ms/step - loss: 1.2114 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2541 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1757 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3082 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1828 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2357 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3506 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2223 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2593 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2985 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2922 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1449 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4235WARNING: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 7ms/step - loss: 1.3573 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3249 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1716 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1768 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2545 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4434 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4794 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2005 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3071 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2364 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1633 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2995 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2560 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3695 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3279 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2521 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2826 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4218 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3207 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2766 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4030 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3385 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1301 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3686 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3140 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1673 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2202 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0854WARNING: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 7ms/step - loss: 1.3766 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2672 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1949 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3019 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2135 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2446 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3374 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3975 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2082 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3748 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2390 - lr: 5.5308e-08
Epoch 176/200
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 7ms/step - loss: 1.1298 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3188 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3525 - lr: 4.0973e-08
Epoch 179/200
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: 1.2306 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2536 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1470 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1811 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3264 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3005 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.0831 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3536 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5491WARNING: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 7ms/step - loss: 1.4208 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4781 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2306 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2834 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4421WARNING: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 7ms/step - loss: 1.5167 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1769 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4741 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4408 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.0964 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2364 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3217 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2284 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3530 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2310 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 256, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 5, 'kernel_size3': 2, 'pool_size0': 5, 'pool_size1': 1, 'pool_size2': 4, 'pool_size3': 2, 'stride_size0': 4, 'stride_size1': 5, 'stride_size2': 4, 'stride_size3': 4, 'dropout0': 0.1, 'dropout1': 0.2, 'dropout2': 0.1, 'dropout3': 0.0}
1/39 [..............................] - ETA: 14s
28/39 [====================>.........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
492 Pilot02 1 cnn1d ... -4.888823 -0.053843 0.057427
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
[497 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
2 |3 |kernel_size0
1 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 19.440589904785156
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 03s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |128 |filter_unit0
2 |3 |kernel_size0
5 |3 |pool_size0
5 |3 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 02s]
val_loss: 21.497270584106445
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 05s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |128 |filter_unit0
64 |64 |filter_unit1
32 |256 |filter_unit2
5 |3 |kernel_size0
2 |1 |kernel_size1
5 |1 |kernel_size2
3 |3 |pool_size0
2 |2 |pool_size1
4 |5 |pool_size2
1 |3 |stride_size0
3 |1 |stride_size1
4 |2 |stride_size2
0.2 |0 |dropout0
0 |0.4 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.767593383789062
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 10s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
256 |64 |filter_unit1
32 |256 |filter_unit2
128 |256 |filter_unit3
2 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
4 |4 |kernel_size3
2 |3 |pool_size0
3 |2 |pool_size1
2 |5 |pool_size2
4 |4 |pool_size3
3 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
5 |5 |stride_size3
0.1 |0 |dropout0
0.3 |0.4 |dropout1
0.2 |0.3 |dropout2
0.1 |0 |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.726097106933594
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 15s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
32 |256 |filter_unit2
64 |256 |filter_unit3
3 |3 |kernel_size0
2 |1 |kernel_size1
2 |1 |kernel_size2
1 |4 |kernel_size3
3 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
3 |4 |pool_size3
2 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
4 |5 |stride_size3
0.2 |0 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.90489959716797
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 21s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
5 |3 |kernel_size0
3 |1 |kernel_size1
5 |3 |pool_size0
3 |2 |pool_size1
3 |3 |stride_size0
5 |1 |stride_size1
0.2 |0 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.54418182373047
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 24s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
5 |3 |kernel_size0
3 |1 |kernel_size1
1 |3 |pool_size0
4 |2 |pool_size1
3 |3 |stride_size0
1 |1 |stride_size1
0.3 |0 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 20.80375862121582
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 28s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
32 |64 |filter_unit1
32 |256 |filter_unit2
3 |3 |kernel_size0
1 |1 |kernel_size1
5 |1 |kernel_size2
1 |3 |pool_size0
4 |2 |pool_size1
3 |5 |pool_size2
4 |3 |stride_size0
1 |1 |stride_size1
3 |2 |stride_size2
0.4 |0 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.64845848083496
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 32s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
4 |3 |kernel_size0
5 |3 |pool_size0
4 |3 |stride_size0
0.4 |0 |dropout0
2023-11-24 12:45:08.814803: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
[2K
Trial 10 Complete [00h 00m 03s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 35s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
3 |3 |kernel_size0
3 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
2023-11-24 12:45:12.837860: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : INVALID_ARGUMENT: allow_missing_files was set to false and /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 did not exist.NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 not found
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} allow_missing_files was set to false and /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 did not exist.NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_10/checkpoint_temp/part-00000-of-00001 not found [Op:MergeV2Checkpoints]
[2K
[2K
Trial 11 Complete [00h 00m 04s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 38s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |64 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
2 |3 |kernel_size0
4 |1 |kernel_size1
2 |1 |kernel_size2
3 |4 |kernel_size3
2 |3 |pool_size0
2 |2 |pool_size1
4 |5 |pool_size2
3 |4 |pool_size3
3 |3 |stride_size0
3 |1 |stride_size1
3 |2 |stride_size2
4 |5 |stride_size3
0.1 |0 |dropout0
0.3 |0.4 |dropout1
0.1 |0.3 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.44301986694336
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 44s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
32 |256 |filter_unit3
64 |256 |filter_unit4
5 |3 |kernel_size0
2 |1 |kernel_size1
4 |1 |kernel_size2
2 |4 |kernel_size3
4 |2 |kernel_size4
1 |3 |pool_size0
5 |2 |pool_size1
1 |5 |pool_size2
2 |4 |pool_size3
4 |5 |pool_size4
3 |3 |stride_size0
5 |1 |stride_size1
3 |2 |stride_size2
3 |5 |stride_size3
5 |2 |stride_size4
0.2 |0 |dropout0
0.4 |0.4 |dropout1
0.1 |0.3 |dropout2
0 |0 |dropout3
0.2 |0 |dropout4
2023-11-24 12:45:23.306682: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_12/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_12/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
[2K
Trial 13 Complete [00h 00m 05s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 49s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
64 |64 |filter_unit1
64 |256 |filter_unit2
128 |256 |filter_unit3
32 |256 |filter_unit4
1 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
3 |4 |kernel_size3
2 |2 |kernel_size4
5 |3 |pool_size0
5 |2 |pool_size1
3 |5 |pool_size2
1 |4 |pool_size3
1 |5 |pool_size4
1 |3 |stride_size0
4 |1 |stride_size1
4 |2 |stride_size2
1 |5 |stride_size3
4 |2 |stride_size4
0.1 |0 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.3 |0 |dropout3
0.2 |0 |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 20.100353240966797
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 55s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
256 |256 |filter_unit2
4 |3 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
3 |3 |pool_size0
3 |2 |pool_size1
1 |5 |pool_size2
2 |3 |stride_size0
1 |1 |stride_size1
1 |2 |stride_size2
0 |0 |dropout0
0.4 |0.4 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 20.37900733947754
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 00m 59s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
1 |3 |kernel_size0
1 |3 |pool_size0
4 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.54778289794922
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 02s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |128 |filter_unit0
256 |64 |filter_unit1
1 |3 |kernel_size0
4 |1 |kernel_size1
2 |3 |pool_size0
2 |2 |pool_size1
1 |3 |stride_size0
4 |1 |stride_size1
0.4 |0 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.380197525024414
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 05s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |128 |filter_unit0
3 |3 |kernel_size0
2 |3 |pool_size0
2 |3 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.391921997070312
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 08s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
256 |64 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
64 |256 |filter_unit4
5 |3 |kernel_size0
1 |1 |kernel_size1
3 |1 |kernel_size2
3 |4 |kernel_size3
5 |2 |kernel_size4
2 |3 |pool_size0
2 |2 |pool_size1
5 |5 |pool_size2
5 |4 |pool_size3
2 |5 |pool_size4
2 |3 |stride_size0
1 |1 |stride_size1
4 |2 |stride_size2
3 |5 |stride_size3
3 |2 |stride_size4
0.2 |0 |dropout0
0.4 |0.4 |dropout1
0 |0.3 |dropout2
0.2 |0 |dropout3
0.4 |0 |dropout4
2023-11-24 12:45:49.282866: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_18/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate1184809096883907254; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_79_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_18/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate1184809096883907254; No such file or directory [Op:SaveV2]
[2K
[2K
Trial 19 Complete [00h 00m 07s]
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 15s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
4 |3 |kernel_size0
5 |1 |kernel_size1
3 |3 |pool_size0
1 |2 |pool_size1
3 |3 |stride_size0
3 |1 |stride_size1
0.4 |0 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 20.494291305541992
Best val_loss So Far: 19.026315689086914
Total elapsed time: 00h 01m 19s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 2, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 5, 'stride_size4': 2, 'dropout0': 0.0, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.0, 'dropout4': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 12s - loss: 9.8587
4/4 [==============================] - ETA: 0s - loss: 9.8439 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 65ms/step - loss: 9.8439 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 8.2123 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 6.8335 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.7941 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.3132 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.3167 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.2116 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.7988 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.4634 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.3311 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.9610 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4969WARNING: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 12ms/step - loss: 3.9476 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.7090 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5376 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.6297 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.3329 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.4777 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.2808 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.5339 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.3200 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.9899 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.0709 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.8664 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.9378 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.8150 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.8969 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.5766 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2654WARNING: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 12ms/step - loss: 2.5009 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.8733 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.5018 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.4648 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.3031 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.5054 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2291 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.7163 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.3611 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.4141 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.4109 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.3893 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2173 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2485 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.4984 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9097WARNING: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 12ms/step - loss: 1.9968 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8666 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2530 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1521 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4421WARNING: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 12ms/step - loss: 2.3531 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2093 - lr: 1.0000e-04
Epoch 49/200
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 12ms/step - loss: 2.1552 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0799 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2435 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1047 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0013 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9462 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2163 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9234WARNING: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 12ms/step - loss: 2.1468 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0009 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8805WARNING: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 12ms/step - loss: 1.9455 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0974 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9441 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1103 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8646 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0797 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7374 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0957 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9011 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0597 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9307 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7829 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5835 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8055 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7157 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6374 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8482 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8624 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5916 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4737 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8528 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6904 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8931 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8266 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6690 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6624 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8638 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7072 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8222 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9146WARNING: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 12ms/step - loss: 1.5493 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8284 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5649 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5830 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6554 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7178 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0443 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3045 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5945 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6912 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5009 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6849 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6416 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3969 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4726 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6991 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5131 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3949 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6617 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3607 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4027 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5681 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4947 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4709 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5538 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4141 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5579 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4774 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4207 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7303WARNING: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 12ms/step - loss: 1.4552 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5949 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5131 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5625 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4853 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1803 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4988 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6578 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4747 - lr: 9.0718e-06
Epoch 125/200
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 12ms/step - loss: 1.8261 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4118 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3908 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4854 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8007 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6085 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6266 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4751 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4370 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1266WARNING: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 12ms/step - loss: 1.3374 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4338 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4292 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5352 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4258 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3758 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4511 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5115 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4762 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4130 - lr: 1.3569e-06
Epoch 144/200
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 12ms/step - loss: 1.4760 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4788 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4374 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6167 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4375 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2233 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3813 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3601 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3953 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5414 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3844 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4391 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3539 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7408WARNING: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 12ms/step - loss: 1.5406 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5189 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4152 - lr: 2.7394e-07
Epoch 160/200
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 12ms/step - loss: 1.5473 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4541 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3800 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7806WARNING: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 12ms/step - loss: 1.6009 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4242 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5097 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4998 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6082 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4712 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4260 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5277 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3326 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4957 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4483 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4538 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5734 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3967 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2127 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6316 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4673 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5667 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3650 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4666 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5140 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6263 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4937 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5034 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4301 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4944 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5150 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5067 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4102 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3318 - lr: 1.0104e-08
Epoch 193/200
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 12ms/step - loss: 1.5533 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3535 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4674 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5160 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5884 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6044 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4560 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2754 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 64, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 1, 'kernel_size3': 4, 'kernel_size4': 2, 'pool_size0': 3, 'pool_size1': 2, 'pool_size2': 5, 'pool_size3': 4, 'pool_size4': 5, 'stride_size0': 3, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 5, 'stride_size4': 2, 'dropout0': 0.0, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.0, 'dropout4': 0.0}
1/39 [..............................] - ETA: 16s
15/39 [==========>...................] - ETA: 0s
29/39 [=====================>........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 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
.. ... ... ... ... ... ... ...
493 Pilot02 1 cnn1d ... -7.532032 -0.045511 0.108340
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
[498 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-10.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (110, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
5 |5 |kernel_size0
5 |5 |kernel_size1
1 |1 |pool_size0
5 |5 |pool_size1
5 |5 |stride_size0
5 |5 |stride_size1
0 |0 |dropout0
0.3 |0.3 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 20.422143936157227
Best val_loss So Far: 20.422143936157227
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |64 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
5 |5 |kernel_size0
5 |5 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
3 |1 |pool_size0
4 |5 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
1 |5 |stride_size0
5 |5 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.4 |0 |dropout0
0.4 |0.3 |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.52973175048828
Best val_loss So Far: 19.52973175048828
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |64 |filter_unit0
64 |256 |filter_unit1
1 |5 |kernel_size0
3 |5 |kernel_size1
2 |3 |pool_size0
5 |4 |pool_size1
1 |1 |stride_size0
5 |5 |stride_size1
0 |0.4 |dropout0
0.1 |0.4 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 20.038108825683594
Best val_loss So Far: 19.52973175048828
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
32 |256 |filter_unit1
32 |256 |filter_unit2
64 |32 |filter_unit3
5 |5 |kernel_size0
4 |5 |kernel_size1
2 |3 |kernel_size2
4 |3 |kernel_size3
4 |3 |pool_size0
3 |4 |pool_size1
2 |3 |pool_size2
4 |3 |pool_size3
3 |1 |stride_size0
4 |5 |stride_size1
2 |4 |stride_size2
2 |4 |stride_size3
0.2 |0.4 |dropout0
0.1 |0.4 |dropout1
0.2 |0.4 |dropout2
0.4 |0.1 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 06s]
val_loss: 20.006959915161133
Best val_loss So Far: 19.52973175048828
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
64 |256 |filter_unit2
64 |32 |filter_unit3
256 |None |filter_unit4
4 |5 |kernel_size0
4 |5 |kernel_size1
2 |3 |kernel_size2
3 |3 |kernel_size3
1 |None |kernel_size4
2 |3 |pool_size0
5 |4 |pool_size1
2 |3 |pool_size2
1 |3 |pool_size3
3 |None |pool_size4
5 |1 |stride_size0
3 |5 |stride_size1
4 |4 |stride_size2
4 |4 |stride_size3
4 |None |stride_size4
0 |0.4 |dropout0
0 |0.4 |dropout1
0.3 |0.4 |dropout2
0.1 |0.1 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.852380752563477
Best val_loss So Far: 19.52973175048828
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |64 |filter_unit0
128 |256 |filter_unit1
64 |256 |filter_unit2
64 |32 |filter_unit3
32 |None |filter_unit4
5 |5 |kernel_size0
1 |5 |kernel_size1
1 |3 |kernel_size2
4 |3 |kernel_size3
1 |None |kernel_size4
1 |3 |pool_size0
3 |4 |pool_size1
3 |3 |pool_size2
5 |3 |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
1 |5 |stride_size1
3 |4 |stride_size2
4 |4 |stride_size3
3 |None |stride_size4
0.3 |0.4 |dropout0
0.3 |0.4 |dropout1
0.1 |0.4 |dropout2
0.3 |0.1 |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.31830596923828
Best val_loss So Far: 19.31830596923828
Total elapsed time: 00h 00m 31s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |64 |filter_unit0
64 |128 |filter_unit1
128 |64 |filter_unit2
3 |5 |kernel_size0
3 |1 |kernel_size1
4 |1 |kernel_size2
5 |1 |pool_size0
1 |3 |pool_size1
1 |3 |pool_size2
5 |5 |stride_size0
2 |1 |stride_size1
4 |3 |stride_size2
0.2 |0.3 |dropout0
0.1 |0.3 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.912630081176758
Best val_loss So Far: 19.31830596923828
Total elapsed time: 00h 00m 36s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |64 |filter_unit0
256 |128 |filter_unit1
64 |64 |filter_unit2
256 |64 |filter_unit3
1 |5 |kernel_size0
3 |1 |kernel_size1
2 |1 |kernel_size2
5 |4 |kernel_size3
3 |1 |pool_size0
3 |3 |pool_size1
3 |3 |pool_size2
2 |5 |pool_size3
4 |5 |stride_size0
4 |1 |stride_size1
1 |3 |stride_size2
3 |4 |stride_size3
0.2 |0.3 |dropout0
0.1 |0.3 |dropout1
0.2 |0.1 |dropout2
0.3 |0.3 |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.488691329956055
Best val_loss So Far: 19.31830596923828
Total elapsed time: 00h 00m 42s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |64 |filter_unit0
3 |5 |kernel_size0
1 |1 |pool_size0
3 |5 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.17537498474121
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
4 |3 |kernel_size0
3 |1 |pool_size0
2 |3 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 02s]
val_loss: 22.362154006958008
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
5 |3 |kernel_size0
5 |None |kernel_size1
2 |1 |pool_size0
1 |None |pool_size1
3 |3 |stride_size0
3 |None |stride_size1
0.4 |0.4 |dropout0
0 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.653823852539062
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
4 |3 |kernel_size0
5 |None |kernel_size1
4 |1 |pool_size0
2 |None |pool_size1
2 |3 |stride_size0
3 |None |stride_size1
0.1 |0.4 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.65008544921875
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 00m 52s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
2 |3 |kernel_size0
1 |1 |pool_size0
2 |3 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 20.34038543701172
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |3 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
1 |3 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.4 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 07s]
val_loss: 19.988924026489258
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 01m 03s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
5 |3 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
5 |1 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
2 |3 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.4 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.921527862548828
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 01m 09s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
3 |3 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |3 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0.4 |0.4 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 20.001501083374023
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 01m 13s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
1 |3 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
5 |1 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
1 |3 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0 |0.4 |dropout0
0.2 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.45529556274414
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 01m 17s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
128 |None |filter_unit1
3 |3 |kernel_size0
3 |None |kernel_size1
1 |1 |pool_size0
2 |None |pool_size1
1 |3 |stride_size0
1 |None |stride_size1
0 |0.4 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 20.1882266998291
Best val_loss So Far: 19.17537498474121
Total elapsed time: 00h 01m 21s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
4 |3 |kernel_size0
1 |1 |pool_size0
4 |3 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 02s]
val_loss: 18.853866577148438
Best val_loss So Far: 18.853866577148438
Total elapsed time: 00h 01m 23s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |1 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
1 |4 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
0.3 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.929607391357422
Best val_loss So Far: 18.853866577148438
Total elapsed time: 00h 01m 28s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 14.7459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 11ms/step - loss: 16.6091 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.2597 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 17.0339WARNING: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 4ms/step - loss: 16.0442 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 16.5280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.2527 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.3776 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.8787 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.5224 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.8166 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.5812 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.6332 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.9350 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8617 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6538 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.3595 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8964 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.5777 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.5782 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.3529 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.0534 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1998WARNING: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 4ms/step - loss: 10.6514 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3545 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.4025 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.2074 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7354 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7248 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.3977 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2511 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0049 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.7145 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4325 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.4825 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1230 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9120WARNING: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 4ms/step - loss: 7.8402 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6141WARNING: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 4ms/step - loss: 7.8143 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3529 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.7023 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7422WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6072 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3964 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4143 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6439WARNING: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 4ms/step - loss: 7.0780 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9530 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7797 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7145 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9235WARNING: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 4ms/step - loss: 6.8495 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6519 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7288 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4728WARNING: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 4ms/step - loss: 6.2277 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1426 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1524 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7841WARNING: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: 6.2997 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3014 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2733 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4221 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2429 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2918 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7961 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4958 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7768 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7186 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6102 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5193 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7184 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3311 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5886 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4839 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4860 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2280 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3554WARNING: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 4ms/step - loss: 5.2077 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1566 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2957 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2857 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1024 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1914 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8148 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9521 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8055 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8716 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6209 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6189 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9005 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5849 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6714WARNING: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 4ms/step - loss: 4.6743 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3673 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6972 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3171 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5175 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6433 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5355 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3073 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7017WARNING: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 4ms/step - loss: 4.1732 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4517 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3636 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2940 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3275 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0232 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1387 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1731 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1800 - lr: 1.0000e-04
Epoch 99/200
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: 4.0021 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1342 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3322 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4219 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3245 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8914 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8935 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0181 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0864 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0298 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7412 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7790 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8213 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2969 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7904 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1258 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7044 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9349 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0596 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8977 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0513WARNING: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 4ms/step - loss: 3.8752 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1734 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7542 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6669 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0628 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7313 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7353 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9283 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7303 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1048 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6867 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7542 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6676 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7498 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8603 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8903 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9916 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6729 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6803 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7316 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8743 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8759 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8511 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9616 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7060 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7577 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8024 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7289 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9239 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7116 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8557 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6424 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9908 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5643 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6451 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7126 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8455 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6385 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7418 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6757 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7018 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6130 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7913 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0451 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8796 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7411 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0847 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5650 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7173 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9099 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5126WARNING: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 4ms/step - loss: 3.9334 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7547 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8661 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7801 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0868 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7071 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8911 - lr: 5.5308e-08
Epoch 176/200
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 4ms/step - loss: 3.8587 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7485 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7627 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9555 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7236 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9688 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8759 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0287 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5467WARNING: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: 3.8030 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8768 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7276 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8204 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6249 - lr: 1.5073e-08
Epoch 189/200
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 4ms/step - loss: 3.8120 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8683 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0713 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6769 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7157 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8338 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7607 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8003 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8802 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7836 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4366 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9107 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 1ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
494 Pilot02 1 cnn1d ... -4.912724 -0.041740 0.140874
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
[499 rows x 18 columns]
imu_rr_Pilot02_id1_combi5.0-12.0-15.0-17.0-20.0
train
(35921, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
64 |64 |filter_unit3
64 |64 |filter_unit4
2 |2 |kernel_size0
1 |1 |kernel_size1
4 |4 |kernel_size2
3 |3 |kernel_size3
1 |1 |kernel_size4
2 |2 |pool_size0
3 |3 |pool_size1
5 |5 |pool_size2
3 |3 |pool_size3
4 |4 |pool_size4
4 |4 |stride_size0
5 |5 |stride_size1
2 |2 |stride_size2
4 |4 |stride_size3
4 |4 |stride_size4
0.4 |0.4 |dropout0
0.4 |0.4 |dropout1
0.1 |0.1 |dropout2
0 |0 |dropout3
0.3 |0.3 |dropout4
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.708463668823242
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
256 |128 |filter_unit1
64 |256 |filter_unit2
128 |64 |filter_unit3
128 |64 |filter_unit4
5 |2 |kernel_size0
4 |1 |kernel_size1
5 |4 |kernel_size2
5 |3 |kernel_size3
5 |1 |kernel_size4
1 |2 |pool_size0
3 |3 |pool_size1
4 |5 |pool_size2
1 |3 |pool_size3
5 |4 |pool_size4
2 |4 |stride_size0
5 |5 |stride_size1
5 |2 |stride_size2
4 |4 |stride_size3
5 |4 |stride_size4
0.3 |0.4 |dropout0
0.4 |0.4 |dropout1
0 |0.1 |dropout2
0.3 |0 |dropout3
0.2 |0.3 |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.839235305786133
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 12s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
64 |128 |filter_unit1
128 |256 |filter_unit2
3 |2 |kernel_size0
2 |1 |kernel_size1
3 |4 |kernel_size2
1 |2 |pool_size0
3 |3 |pool_size1
3 |5 |pool_size2
2 |4 |stride_size0
5 |5 |stride_size1
5 |2 |stride_size2
0.4 |0.4 |dropout0
0 |0.4 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.802831649780273
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 17s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
5 |2 |kernel_size0
5 |2 |pool_size0
4 |4 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 20.67723274230957
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
4 |2 |kernel_size0
3 |2 |pool_size0
2 |4 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.8485050201416
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
256 |128 |filter_unit0
32 |128 |filter_unit1
1 |2 |kernel_size0
4 |1 |kernel_size1
5 |2 |pool_size0
1 |3 |pool_size1
3 |4 |stride_size0
4 |5 |stride_size1
0.3 |0.4 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 20.272977828979492
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |128 |filter_unit0
32 |128 |filter_unit1
64 |256 |filter_unit2
32 |64 |filter_unit3
64 |64 |filter_unit4
1 |2 |kernel_size0
1 |1 |kernel_size1
4 |4 |kernel_size2
5 |3 |kernel_size3
5 |1 |kernel_size4
2 |2 |pool_size0
2 |3 |pool_size1
3 |5 |pool_size2
4 |3 |pool_size3
2 |4 |pool_size4
3 |4 |stride_size0
4 |5 |stride_size1
3 |2 |stride_size2
3 |4 |stride_size3
2 |4 |stride_size4
0.1 |0.4 |dropout0
0.1 |0.4 |dropout1
0.2 |0.1 |dropout2
0 |0 |dropout3
0.2 |0.3 |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.7156982421875
Best val_loss So Far: 19.708463668823242
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
256 |128 |filter_unit0
128 |128 |filter_unit1
128 |256 |filter_unit2
3 |2 |kernel_size0
4 |1 |kernel_size1
4 |4 |kernel_size2
2 |2 |pool_size0
4 |3 |pool_size1
1 |5 |pool_size2
5 |4 |stride_size0
5 |5 |stride_size1
2 |2 |stride_size2
0.4 |0.4 |dropout0
0 |0.4 |dropout1
0.1 |0.1 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.129074096679688
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 36s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
5 |3 |kernel_size0
5 |4 |kernel_size1
1 |2 |pool_size0
2 |4 |pool_size1
2 |5 |stride_size0
5 |5 |stride_size1
0.1 |0.4 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 20.085369110107422
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |256 |filter_unit0
128 |128 |filter_unit1
5 |3 |kernel_size0
1 |4 |kernel_size1
3 |2 |pool_size0
3 |4 |pool_size1
4 |5 |stride_size0
4 |5 |stride_size1
0.1 |0.4 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.214597702026367
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
128 |128 |filter_unit2
128 |None |filter_unit3
2 |3 |kernel_size0
1 |4 |kernel_size1
2 |4 |kernel_size2
3 |None |kernel_size3
2 |2 |pool_size0
5 |4 |pool_size1
1 |1 |pool_size2
3 |None |pool_size3
2 |5 |stride_size0
5 |5 |stride_size1
2 |2 |stride_size2
5 |None |stride_size3
0 |0.4 |dropout0
0.3 |0 |dropout1
0.2 |0.1 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.514135360717773
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 48s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |256 |filter_unit0
1 |3 |kernel_size0
3 |2 |pool_size0
3 |5 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.178377151489258
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
256 |128 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |3 |kernel_size0
4 |4 |kernel_size1
1 |4 |kernel_size2
5 |None |kernel_size3
2 |None |kernel_size4
4 |2 |pool_size0
2 |4 |pool_size1
5 |1 |pool_size2
3 |None |pool_size3
2 |None |pool_size4
3 |5 |stride_size0
5 |5 |stride_size1
1 |2 |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0.2 |0.4 |dropout0
0.3 |0 |dropout1
0.1 |0.1 |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.72889518737793
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 00m 57s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
32 |128 |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
3 |3 |kernel_size0
5 |4 |kernel_size1
5 |4 |kernel_size2
5 |None |kernel_size3
5 |None |kernel_size4
2 |2 |pool_size0
1 |4 |pool_size1
1 |1 |pool_size2
3 |None |pool_size3
1 |None |pool_size4
4 |5 |stride_size0
4 |5 |stride_size1
1 |2 |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.3 |0.4 |dropout0
0.3 |0 |dropout1
0.3 |0.1 |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.461034774780273
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 03s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |256 |filter_unit0
128 |128 |filter_unit1
32 |128 |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
1 |4 |kernel_size1
4 |4 |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
2 |2 |pool_size0
5 |4 |pool_size1
4 |1 |pool_size2
2 |None |pool_size3
4 |None |pool_size4
3 |5 |stride_size0
4 |5 |stride_size1
2 |2 |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.1 |0.4 |dropout0
0.3 |0 |dropout1
0.4 |0.1 |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.29038429260254
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 09s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |256 |filter_unit0
256 |128 |filter_unit1
128 |128 |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
3 |4 |kernel_size1
2 |4 |kernel_size2
5 |None |kernel_size3
4 |2 |pool_size0
5 |4 |pool_size1
1 |1 |pool_size2
2 |None |pool_size3
5 |5 |stride_size0
3 |5 |stride_size1
4 |2 |stride_size2
1 |None |stride_size3
0.4 |0.4 |dropout0
0.4 |0 |dropout1
0 |0.1 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.83138656616211
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 15s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |256 |filter_unit0
3 |3 |kernel_size0
4 |2 |pool_size0
1 |5 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 19.4410343170166
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 17s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |256 |filter_unit0
4 |3 |kernel_size0
5 |2 |pool_size0
2 |5 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.39090919494629
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 20s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
128 |128 |filter_unit1
256 |128 |filter_unit2
4 |3 |kernel_size0
4 |4 |kernel_size1
2 |4 |kernel_size2
1 |2 |pool_size0
2 |4 |pool_size1
1 |1 |pool_size2
4 |5 |stride_size0
3 |5 |stride_size1
3 |2 |stride_size2
0.1 |0.4 |dropout0
0.1 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.449657440185547
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |256 |filter_unit0
128 |128 |filter_unit1
32 |128 |filter_unit2
5 |3 |kernel_size0
2 |4 |kernel_size1
5 |4 |kernel_size2
2 |2 |pool_size0
4 |4 |pool_size1
3 |1 |pool_size2
5 |5 |stride_size0
3 |5 |stride_size1
2 |2 |stride_size2
0.2 |0.4 |dropout0
0.4 |0 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.738466262817383
Best val_loss So Far: 19.129074096679688
Total elapsed time: 00h 01m 28s
{'n_layers': 3, 'filter_unit0': 256, 'filter_unit1': 128, 'filter_unit2': 128, 'kernel_size0': 3, 'kernel_size1': 4, 'kernel_size2': 4, 'pool_size0': 2, 'pool_size1': 4, 'pool_size2': 1, 'stride_size0': 5, 'stride_size1': 5, 'stride_size2': 2, 'dropout0': 0.4, 'dropout1': 0.0, 'dropout2': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 16.2985
4/4 [==============================] - ETA: 0s - loss: 17.2762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 44ms/step - loss: 17.2762 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 16.5970 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 15.7420 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 16.3954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 15.0633 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 13.7175 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 14.0875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 13.5944 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 12.5498 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 11.7078 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 11.0456 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 10.7847 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 10.2429 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 9.7225 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6885WARNING: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 11ms/step - loss: 8.8035 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 8.6449 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 7.8738 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9466WARNING: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 11ms/step - loss: 7.4358 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 7.4591 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 6.6688 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 6.3554 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9120WARNING: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 11ms/step - loss: 6.2505 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.8904 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7222WARNING: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 11ms/step - loss: 5.8579 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 5.5881 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 4.9492 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 5.0777 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.7761 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0226WARNING: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 11ms/step - loss: 4.8683 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 4.3976 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 4.1833 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1080 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.9020 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.1952 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.8434 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.4799 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.7916 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5063 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.3680 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 3.0857 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2951 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3640 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.9378 - lr: 1.0000e-04
Epoch 42/200
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 11ms/step - loss: 3.1559 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8611WARNING: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 11ms/step - loss: 2.8202 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8422 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.9197 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.8908 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.7701 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.6427 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5971 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7180 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2866WARNING: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 11ms/step - loss: 2.6248 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.3644 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4242 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1014 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.5855 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.3236 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.1588 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2492 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0613 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.2726 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.2629 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0140 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0210 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3170 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0562 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9653 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0010 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0597 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0347 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.1549 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9078 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1788 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7463 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.8588 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7732 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0099 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0689 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9389 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9127 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9387 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9932 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9858 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9952 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5509 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9007 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9671 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5345 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9630 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1630 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7535 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8256 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7826 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6809 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6454 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4942WARNING: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 11ms/step - loss: 1.5546 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6963 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5734 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7623 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6889 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7170 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6969 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7061 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5081 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6494 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5358 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8164 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4655 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5343 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0113WARNING: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 11ms/step - loss: 1.7187 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6828 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6453 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4439 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6515 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4201 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5986 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3475 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5885 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6741 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3343WARNING: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 11ms/step - loss: 1.4843 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6182 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6725 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7558 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5438 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4605 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4865 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4295 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5234 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6166 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4853 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4997 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3953 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5732 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6095 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5220 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7703 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6039 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5514 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.8622 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6144 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4643 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6515 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5589 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6654 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5026 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4997 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3795 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8433 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7084 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6117 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3913 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4618 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5725 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5155 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.9079 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6750 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.8194 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5187 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6331 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3352 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3511 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4329 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4759 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5191 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6229WARNING: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 11ms/step - loss: 1.5098 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4832 - lr: 1.5034e-07
Epoch 166/200
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 11ms/step - loss: 1.4672 - lr: 1.3604e-07
Epoch 167/200
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 11ms/step - loss: 1.5786 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4132 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5707 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4036WARNING: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 11ms/step - loss: 1.7650 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.0749 - lr: 8.2510e-08
Epoch 172/200
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 11ms/step - loss: 1.6382 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5083 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5028 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5545 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5052 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.6541 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6530WARNING: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 11ms/step - loss: 1.5436 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6320 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5928 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7788 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9419WARNING: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 11ms/step - loss: 1.7512 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4346 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5768 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.5715 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6439WARNING: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 11ms/step - loss: 1.5945 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4635 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6589 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3045 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4877 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3884 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4162 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3654 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6343 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.4390 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7233 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.7419 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5419 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.2265 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4088 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 256, 'filter_unit1': 128, 'filter_unit2': 128, 'kernel_size0': 3, 'kernel_size1': 4, 'kernel_size2': 4, 'pool_size0': 2, 'pool_size1': 4, 'pool_size2': 1, 'stride_size0': 5, 'stride_size1': 5, 'stride_size2': 2, 'dropout0': 0.4, 'dropout1': 0.0, 'dropout2': 0.1}
1/39 [..............................] - ETA: 10s
16/39 [===========>..................] - ETA: 0s
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 4ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
495 Pilot02 1 cnn1d ... -5.305683 -0.056356 0.046716
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
[500 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-17.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (120, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
64 |64 |filter_unit2
4 |4 |kernel_size0
2 |2 |kernel_size1
2 |2 |kernel_size2
4 |4 |pool_size0
4 |4 |pool_size1
5 |5 |pool_size2
1 |1 |stride_size0
5 |5 |stride_size1
1 |1 |stride_size2
0.1 |0.1 |dropout0
0 |0 |dropout1
0 |0 |dropout2
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0042s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0042s). Check your callbacks.
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 17.147180557250977
Best val_loss So Far: 17.147180557250977
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |128 |filter_unit0
4 |4 |kernel_size0
3 |4 |pool_size0
1 |1 |stride_size0
0.4 |0.1 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0025s 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: 0.0025s vs `on_train_batch_end` time: 0.0035s). Check your callbacks.
2023-11-24 12:49:42.602943: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-17.0/bayesianoptimization/trial_01/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate7225690863258724374; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_23_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-17.0/bayesianoptimization/trial_01/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate7225690863258724374; No such file or directory [Op:SaveV2]
[2K
[2K
Trial 2 Complete [00h 00m 02s]
Best val_loss So Far: 17.147180557250977
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |128 |filter_unit0
4 |4 |kernel_size0
1 |4 |pool_size0
2 |1 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 02s]
val_loss: 19.01519203186035
Best val_loss So Far: 17.147180557250977
Total elapsed time: 00h 00m 09s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |128 |filter_unit0
64 |32 |filter_unit1
128 |64 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
1 |2 |kernel_size1
3 |2 |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
1 |4 |pool_size0
2 |4 |pool_size1
2 |5 |pool_size2
4 |None |pool_size3
1 |None |pool_size4
3 |1 |stride_size0
5 |5 |stride_size1
1 |1 |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.1 |0.1 |dropout0
0.4 |0 |dropout1
0.1 |0 |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 16.795434951782227
Best val_loss So Far: 16.795434951782227
Total elapsed time: 00h 00m 14s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |64 |filter_unit0
256 |64 |filter_unit1
32 |128 |filter_unit2
2 |5 |kernel_size0
2 |1 |kernel_size1
2 |3 |kernel_size2
3 |1 |pool_size0
1 |2 |pool_size1
4 |2 |pool_size2
1 |3 |stride_size0
1 |5 |stride_size1
5 |1 |stride_size2
0.3 |0.1 |dropout0
0.3 |0.4 |dropout1
0.1 |0.1 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0108s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0108s). Check your callbacks.
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 16.795297622680664
Best val_loss So Far: 16.795297622680664
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
128 |256 |filter_unit1
5 |2 |kernel_size0
5 |2 |kernel_size1
2 |3 |pool_size0
2 |1 |pool_size1
5 |1 |stride_size0
2 |1 |stride_size1
0.1 |0.3 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 15.932089805603027
Best val_loss So Far: 15.932089805603027
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
2 |5 |kernel_size0
1 |2 |pool_size0
1 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 15.95856761932373
Best val_loss So Far: 15.932089805603027
Total elapsed time: 00h 00m 25s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |32 |filter_unit0
1 |5 |kernel_size0
3 |2 |pool_size0
4 |5 |stride_size0
0.3 |0.1 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0025s vs `on_train_batch_end` time: 0.0061s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0025s vs `on_train_batch_end` time: 0.0061s). Check your callbacks.
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 16.948591232299805
Best val_loss So Far: 15.932089805603027
Total elapsed time: 00h 00m 28s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |32 |filter_unit0
3 |5 |kernel_size0
2 |2 |pool_size0
2 |5 |stride_size0
0 |0.1 |dropout0
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0028s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0023s vs `on_train_batch_end` time: 0.0028s). Check your callbacks.
[2K
[2K
Trial 9 Complete [00h 00m 02s]
val_loss: 15.36473560333252
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 31s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
1 |3 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
4 |2 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
4 |None |pool_size4
3 |2 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.4 |0 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0105s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0105s). Check your callbacks.
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 16.802635192871094
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 36s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |2 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
1 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0 |0 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 16.211589813232422
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 42s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
2 |3 |kernel_size0
2 |None |kernel_size1
2 |2 |pool_size0
3 |None |pool_size1
5 |2 |stride_size0
4 |None |stride_size1
0 |0 |dropout0
0.4 |None |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0056s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0056s). Check your callbacks.
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 16.789033889770508
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 45s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |128 |filter_unit0
5 |3 |kernel_size0
2 |2 |pool_size0
2 |2 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 17.522436141967773
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 47s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
1 |3 |kernel_size0
5 |None |kernel_size1
1 |2 |pool_size0
3 |None |pool_size1
4 |2 |stride_size0
5 |None |stride_size1
0.4 |0 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 16.744321823120117
Best val_loss So Far: 15.36473560333252
Total elapsed time: 00h 00m 51s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
5 |3 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
3 |2 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
1 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
2 |None |stride_size3
0.2 |0 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0046s vs `on_train_batch_end` time: 0.0154s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0046s vs `on_train_batch_end` time: 0.0154s). Check your callbacks.
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 14.668110847473145
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 00m 57s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |32 |filter_unit0
256 |256 |filter_unit1
128 |256 |filter_unit2
4 |5 |kernel_size0
4 |3 |kernel_size1
3 |4 |kernel_size2
3 |3 |pool_size0
5 |1 |pool_size1
3 |5 |pool_size2
5 |1 |stride_size0
4 |2 |stride_size1
2 |5 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.4 |dropout1
0.4 |0.3 |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0077s). Check your callbacks.
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 15.742599487304688
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 01m 02s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |32 |filter_unit0
128 |256 |filter_unit1
2 |5 |kernel_size0
1 |3 |kernel_size1
2 |3 |pool_size0
2 |1 |pool_size1
2 |1 |stride_size0
5 |2 |stride_size1
0.2 |0.2 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 16.567630767822266
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 01m 05s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |32 |filter_unit0
128 |256 |filter_unit1
3 |5 |kernel_size0
1 |3 |kernel_size1
2 |3 |pool_size0
4 |1 |pool_size1
5 |1 |stride_size0
4 |2 |stride_size1
0 |0.2 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 16.85968589782715
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 01m 09s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |32 |filter_unit0
256 |256 |filter_unit1
64 |256 |filter_unit2
64 |256 |filter_unit3
3 |5 |kernel_size0
3 |3 |kernel_size1
3 |4 |kernel_size2
4 |3 |kernel_size3
3 |3 |pool_size0
1 |1 |pool_size1
2 |5 |pool_size2
5 |3 |pool_size3
5 |1 |stride_size0
4 |2 |stride_size1
4 |5 |stride_size2
4 |2 |stride_size3
0.4 |0.2 |dropout0
0.2 |0.4 |dropout1
0 |0.3 |dropout2
0.3 |0.4 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 16.750131607055664
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 01m 14s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |32 |filter_unit0
64 |256 |filter_unit1
256 |256 |filter_unit2
5 |5 |kernel_size0
2 |3 |kernel_size1
1 |4 |kernel_size2
2 |3 |pool_size0
1 |1 |pool_size1
4 |5 |pool_size2
2 |1 |stride_size0
5 |2 |stride_size1
1 |5 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.4 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 16.338376998901367
Best val_loss So Far: 14.668110847473145
Total elapsed time: 00h 01m 18s
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 256, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 3, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 3, 'stride_size0': 1, 'stride_size1': 2, 'stride_size2': 5, 'stride_size3': 2, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 7.9256
4/4 [==============================] - ETA: 0s - loss: 6.6892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 54ms/step - loss: 6.6892 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0960
4/4 [==============================] - ETA: 0s - loss: 4.7574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 22ms/step - loss: 4.7574 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9053
4/4 [==============================] - ETA: 0s - loss: 4.5290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.5290 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4468
4/4 [==============================] - ETA: 0s - loss: 4.2413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 4.2413 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2803
4/4 [==============================] - ETA: 0s - loss: 3.6227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.6227 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2909
4/4 [==============================] - ETA: 0s - loss: 4.0101WARNING: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 21ms/step - loss: 4.0101 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6245
4/4 [==============================] - ETA: 0s - loss: 3.8745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.8745 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4795
4/4 [==============================] - ETA: 0s - loss: 3.9796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.9796 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3359
4/4 [==============================] - ETA: 0s - loss: 3.8974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.8974 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6479
4/4 [==============================] - ETA: 0s - loss: 3.3836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.3836 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0633
4/4 [==============================] - ETA: 0s - loss: 3.0822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.0822 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8406
4/4 [==============================] - 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 21ms/step - loss: 3.3404 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1585
4/4 [==============================] - ETA: 0s - loss: 3.3563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.3563 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7765
4/4 [==============================] - 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 21ms/step - loss: 3.1972 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8180
4/4 [==============================] - ETA: 0s - loss: 3.3136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.3136 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8530
4/4 [==============================] - ETA: 0s - loss: 3.0945WARNING: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 21ms/step - loss: 3.0945 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4062
4/4 [==============================] - ETA: 0s - loss: 3.3041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3041 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3884
4/4 [==============================] - ETA: 0s - loss: 3.1463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1463 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7093
4/4 [==============================] - ETA: 0s - loss: 2.8583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8583 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1849
4/4 [==============================] - ETA: 0s - loss: 2.8619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8619 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3056
4/4 [==============================] - ETA: 0s - loss: 3.3752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.3752 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0860
4/4 [==============================] - ETA: 0s - loss: 3.1130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.1130 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9393
4/4 [==============================] - ETA: 0s - loss: 2.9344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9344 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0894
4/4 [==============================] - ETA: 0s - loss: 2.9672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.9672 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2911
4/4 [==============================] - ETA: 0s - loss: 3.1728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 3.1728 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1232
4/4 [==============================] - ETA: 0s - loss: 2.9253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9253 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4200
4/4 [==============================] - ETA: 0s - loss: 2.6073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6073 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5266
4/4 [==============================] - ETA: 0s - loss: 2.5543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.5543 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6298
4/4 [==============================] - ETA: 0s - loss: 2.5294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5294 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2196
4/4 [==============================] - ETA: 0s - loss: 2.5040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.5040 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4871
4/4 [==============================] - ETA: 0s - loss: 2.9133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.9133 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9973
4/4 [==============================] - ETA: 0s - loss: 2.2844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2844 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4995
4/4 [==============================] - ETA: 0s - loss: 2.5817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.5817 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4799
4/4 [==============================] - ETA: 0s - loss: 2.5279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5279 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2814
4/4 [==============================] - ETA: 0s - loss: 2.7335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7335 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7914
4/4 [==============================] - ETA: 0s - loss: 2.6278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.6278 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2081
4/4 [==============================] - ETA: 0s - loss: 2.2530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2530 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5106
4/4 [==============================] - ETA: 0s - loss: 2.8183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8183 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3790
4/4 [==============================] - ETA: 0s - loss: 2.6072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.6072 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1685
4/4 [==============================] - ETA: 0s - loss: 2.5787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5787 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9628
4/4 [==============================] - ETA: 0s - loss: 2.3769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3769 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3843
4/4 [==============================] - ETA: 0s - loss: 2.4913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4913 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6274
4/4 [==============================] - ETA: 0s - loss: 2.6943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.6943 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7052
4/4 [==============================] - ETA: 0s - loss: 2.5003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5003 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5074
4/4 [==============================] - ETA: 0s - loss: 2.4243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4243 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4101
4/4 [==============================] - ETA: 0s - loss: 2.4207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4207 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0685
4/4 [==============================] - ETA: 0s - loss: 2.5027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5027 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8065
4/4 [==============================] - ETA: 0s - loss: 2.4296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4296 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1717
4/4 [==============================] - ETA: 0s - loss: 2.0637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0637 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1016
4/4 [==============================] - ETA: 0s - loss: 2.3173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.3173 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6336
4/4 [==============================] - ETA: 0s - loss: 2.4462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4462 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3250
4/4 [==============================] - ETA: 0s - loss: 2.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.5776 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2062
4/4 [==============================] - ETA: 0s - loss: 2.3976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3976 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8756
4/4 [==============================] - ETA: 0s - loss: 2.1761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1761 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1092
4/4 [==============================] - ETA: 0s - loss: 2.2534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2534 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4225
4/4 [==============================] - ETA: 0s - loss: 2.4397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.4397 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9599
4/4 [==============================] - ETA: 0s - loss: 2.3801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.3801 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0591
4/4 [==============================] - ETA: 0s - loss: 2.6146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6146 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3620
4/4 [==============================] - ETA: 0s - loss: 2.3843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.3843 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4404
4/4 [==============================] - ETA: 0s - loss: 2.3511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.3511 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4102
4/4 [==============================] - ETA: 0s - loss: 2.4911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4911 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6988
4/4 [==============================] - ETA: 0s - loss: 2.2811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2811 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3977
4/4 [==============================] - ETA: 0s - loss: 2.0917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0917 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2835
4/4 [==============================] - ETA: 0s - loss: 2.2351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2351 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5626
4/4 [==============================] - ETA: 0s - loss: 2.4019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.4019 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5621
4/4 [==============================] - ETA: 0s - loss: 2.3275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.3275 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0657
4/4 [==============================] - ETA: 0s - loss: 2.1410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1410 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6439
4/4 [==============================] - ETA: 0s - loss: 2.2863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2863 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2487
4/4 [==============================] - ETA: 0s - loss: 2.1075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1075 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9935
4/4 [==============================] - ETA: 0s - loss: 2.1786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1786 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7262
4/4 [==============================] - ETA: 0s - loss: 2.1893WARNING: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 21ms/step - loss: 2.1893 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9216
4/4 [==============================] - 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 21ms/step - loss: 1.7845 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7444
4/4 [==============================] - ETA: 0s - loss: 2.1858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1858 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0546
4/4 [==============================] - ETA: 0s - loss: 2.2077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2077 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3690
4/4 [==============================] - ETA: 0s - loss: 1.9583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9583 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0710
4/4 [==============================] - 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 21ms/step - loss: 1.9196 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7834
4/4 [==============================] - ETA: 0s - loss: 1.9551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9551 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1423
4/4 [==============================] - ETA: 0s - loss: 2.0871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0871 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6151
4/4 [==============================] - ETA: 0s - loss: 2.0280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0280 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8870
4/4 [==============================] - ETA: 0s - loss: 2.0625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0625 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1379
4/4 [==============================] - ETA: 0s - loss: 2.1023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1023 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1421
4/4 [==============================] - ETA: 0s - loss: 1.9897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9897 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0158
4/4 [==============================] - ETA: 0s - loss: 2.0660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0660 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0056
4/4 [==============================] - ETA: 0s - loss: 2.0798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0798 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6611
4/4 [==============================] - ETA: 0s - loss: 2.1089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1089 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0416
4/4 [==============================] - ETA: 0s - loss: 2.0600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0600 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8602
4/4 [==============================] - ETA: 0s - loss: 1.7915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7915 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9904
4/4 [==============================] - ETA: 0s - loss: 2.2349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2349 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8757
4/4 [==============================] - ETA: 0s - loss: 1.9797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9797 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1463
4/4 [==============================] - ETA: 0s - loss: 2.1065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1065 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8132
4/4 [==============================] - ETA: 0s - loss: 1.8108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8108 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9390
4/4 [==============================] - ETA: 0s - loss: 1.8423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8423 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9283
4/4 [==============================] - ETA: 0s - loss: 1.9245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9245 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7188
4/4 [==============================] - ETA: 0s - loss: 1.6754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6754 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9769
4/4 [==============================] - ETA: 0s - loss: 1.7831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7831 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9031
4/4 [==============================] - ETA: 0s - loss: 1.8323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8323 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4469
4/4 [==============================] - ETA: 0s - loss: 2.2475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.2475 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3429
4/4 [==============================] - ETA: 0s - loss: 1.9880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9880 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8126
4/4 [==============================] - ETA: 0s - loss: 1.8201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8201 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3823
4/4 [==============================] - ETA: 0s - loss: 2.2777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2777 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3052
4/4 [==============================] - ETA: 0s - loss: 1.9299WARNING: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 21ms/step - loss: 1.9299 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6964
4/4 [==============================] - ETA: 0s - loss: 1.9930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9930 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0594
4/4 [==============================] - ETA: 0s - loss: 2.1984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1984 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1483
4/4 [==============================] - ETA: 0s - loss: 1.9893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9893 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6341
4/4 [==============================] - ETA: 0s - loss: 1.8698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8698 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2095
4/4 [==============================] - ETA: 0s - loss: 1.8613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8613 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7930
4/4 [==============================] - ETA: 0s - loss: 1.8338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8338 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2862
4/4 [==============================] - ETA: 0s - loss: 1.7396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7396 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7667
4/4 [==============================] - ETA: 0s - loss: 1.7669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7669 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4586
4/4 [==============================] - ETA: 0s - loss: 1.5493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.5493 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8857
4/4 [==============================] - ETA: 0s - loss: 1.6249WARNING: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 21ms/step - loss: 1.6249 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3606
4/4 [==============================] - ETA: 0s - loss: 1.6661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6661 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0109
4/4 [==============================] - ETA: 0s - loss: 1.9531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9531 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9395
4/4 [==============================] - ETA: 0s - loss: 1.8052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8052 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7690
4/4 [==============================] - ETA: 0s - loss: 1.7971WARNING: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 21ms/step - loss: 1.7971 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8611
4/4 [==============================] - ETA: 0s - loss: 1.6533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6533 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8333
4/4 [==============================] - ETA: 0s - loss: 1.7764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7764 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9468
4/4 [==============================] - ETA: 0s - loss: 1.8549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8549 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4739
4/4 [==============================] - ETA: 0s - loss: 1.7556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7556 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9910
4/4 [==============================] - ETA: 0s - loss: 1.8604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8604 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2068
4/4 [==============================] - ETA: 0s - loss: 1.8508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8508 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1520
4/4 [==============================] - ETA: 0s - loss: 2.0178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0178 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7963
4/4 [==============================] - ETA: 0s - loss: 1.9997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9997 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8602
4/4 [==============================] - ETA: 0s - loss: 1.6710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6710 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2187
4/4 [==============================] - ETA: 0s - loss: 2.0506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0506 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1191
4/4 [==============================] - ETA: 0s - loss: 1.8819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8819 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6426
4/4 [==============================] - ETA: 0s - loss: 1.7220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7220 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2110
4/4 [==============================] - ETA: 0s - loss: 1.8968WARNING: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 21ms/step - loss: 1.8968 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7115
4/4 [==============================] - ETA: 0s - loss: 1.9802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9802 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1751
4/4 [==============================] - ETA: 0s - loss: 1.7321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7321 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4702
4/4 [==============================] - ETA: 0s - loss: 1.8577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8577 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3752
4/4 [==============================] - ETA: 0s - loss: 1.7965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7965 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2012
4/4 [==============================] - ETA: 0s - loss: 1.7697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7697 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5779
4/4 [==============================] - ETA: 0s - loss: 1.7822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7822 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4551
4/4 [==============================] - ETA: 0s - loss: 1.7053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7053 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0035
4/4 [==============================] - ETA: 0s - loss: 1.8728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8728 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9904
4/4 [==============================] - ETA: 0s - loss: 1.6992WARNING: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 21ms/step - loss: 1.6992 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9085
4/4 [==============================] - ETA: 0s - loss: 1.8462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8462 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7943
4/4 [==============================] - ETA: 0s - loss: 1.7696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7696 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9735
4/4 [==============================] - ETA: 0s - loss: 1.9188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9188 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7760
4/4 [==============================] - ETA: 0s - loss: 1.8003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8003 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1511
4/4 [==============================] - ETA: 0s - loss: 2.0500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0500 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9512
4/4 [==============================] - ETA: 0s - loss: 1.9949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9949 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8400
4/4 [==============================] - ETA: 0s - loss: 1.8909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8909 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0545
4/4 [==============================] - ETA: 0s - loss: 1.9782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9782 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9995
4/4 [==============================] - ETA: 0s - loss: 1.7788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7788 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4041
4/4 [==============================] - ETA: 0s - loss: 1.6538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6538 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2426
4/4 [==============================] - ETA: 0s - loss: 2.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.1282 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6345
4/4 [==============================] - ETA: 0s - loss: 1.7047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7047 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1638
4/4 [==============================] - ETA: 0s - loss: 1.8442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8442 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6364
4/4 [==============================] - ETA: 0s - loss: 1.7385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7385 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7320
4/4 [==============================] - ETA: 0s - loss: 1.9346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9346 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7323
4/4 [==============================] - ETA: 0s - loss: 1.7615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7615 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9072
4/4 [==============================] - ETA: 0s - loss: 1.8550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8550 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9135
4/4 [==============================] - ETA: 0s - loss: 1.9802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9802 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8324
4/4 [==============================] - ETA: 0s - loss: 1.8372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8372 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4108
4/4 [==============================] - ETA: 0s - loss: 1.6584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6584 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8781
4/4 [==============================] - ETA: 0s - loss: 1.9696WARNING: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 21ms/step - loss: 1.9696 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7260
4/4 [==============================] - ETA: 0s - loss: 1.7154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7154 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7978
4/4 [==============================] - ETA: 0s - loss: 1.9011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9011 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7070
4/4 [==============================] - ETA: 0s - loss: 1.6759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6759 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6047
4/4 [==============================] - ETA: 0s - loss: 1.7478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7478 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6880
4/4 [==============================] - ETA: 0s - loss: 2.0168WARNING: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 21ms/step - loss: 2.0168 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9978
4/4 [==============================] - ETA: 0s - loss: 1.8257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8257 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8986
4/4 [==============================] - ETA: 0s - loss: 1.6268WARNING: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 21ms/step - loss: 1.6268 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5573
4/4 [==============================] - ETA: 0s - loss: 1.9600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9600 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7352
4/4 [==============================] - ETA: 0s - loss: 1.7944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7944 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1239
4/4 [==============================] - ETA: 0s - loss: 1.9327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9327 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7732
4/4 [==============================] - ETA: 0s - loss: 1.8728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8728 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5948
4/4 [==============================] - ETA: 0s - loss: 1.5381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.5381 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0494
4/4 [==============================] - ETA: 0s - loss: 1.9006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9006 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8089
4/4 [==============================] - ETA: 0s - loss: 1.8712WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8712 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9268
4/4 [==============================] - ETA: 0s - loss: 1.7537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7537 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8606
4/4 [==============================] - ETA: 0s - loss: 1.8194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8194 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8632
4/4 [==============================] - ETA: 0s - loss: 1.8199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8199 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5627
4/4 [==============================] - ETA: 0s - loss: 1.8239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8239 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1691
4/4 [==============================] - ETA: 0s - loss: 1.8775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8775 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4898
4/4 [==============================] - ETA: 0s - loss: 1.6932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6932 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7544
4/4 [==============================] - ETA: 0s - loss: 1.8050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8050 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0143
4/4 [==============================] - ETA: 0s - loss: 1.9145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9145 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1327
4/4 [==============================] - ETA: 0s - loss: 1.8647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8647 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8076
4/4 [==============================] - ETA: 0s - loss: 1.8871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8871 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6691
4/4 [==============================] - ETA: 0s - loss: 1.6381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6381 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8191
4/4 [==============================] - ETA: 0s - loss: 1.7481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7481 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9244
4/4 [==============================] - ETA: 0s - loss: 1.7231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7231 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2323
4/4 [==============================] - ETA: 0s - loss: 1.9234WARNING: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 21ms/step - loss: 1.9234 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5979
4/4 [==============================] - ETA: 0s - loss: 1.8698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8698 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6921
4/4 [==============================] - ETA: 0s - loss: 1.8091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8091 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9859
4/4 [==============================] - ETA: 0s - loss: 1.7815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7815 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8031
4/4 [==============================] - ETA: 0s - loss: 1.7880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7880 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6320
4/4 [==============================] - ETA: 0s - loss: 1.8980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8980 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9211
4/4 [==============================] - ETA: 0s - loss: 1.7194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7194 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8796
4/4 [==============================] - ETA: 0s - loss: 1.7835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7835 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5263
4/4 [==============================] - ETA: 0s - loss: 2.0179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 2.0179 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7813
4/4 [==============================] - ETA: 0s - loss: 1.9198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.9198 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5869
4/4 [==============================] - ETA: 0s - loss: 1.6949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.6949 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8292
4/4 [==============================] - ETA: 0s - loss: 1.7878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.7878 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7775
4/4 [==============================] - ETA: 0s - loss: 1.8484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.8484 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4096
4/4 [==============================] - ETA: 0s - loss: 1.5198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 21ms/step - loss: 1.5198 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8007
4/4 [==============================] - ETA: 0s - loss: 1.9608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9608 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 256, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 3, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 3, 'stride_size0': 1, 'stride_size1': 2, 'stride_size2': 5, 'stride_size3': 2, 'dropout0': 0.2, 'dropout1': 0.4, 'dropout2': 0.30000000000000004, 'dropout3': 0.4}
1/39 [..............................] - ETA: 13s
10/39 [======>.......................] - ETA: 0s
19/39 [=============>................] - ETA: 0s
28/39 [====================>.........] - ETA: 0s
37/39 [===========================>..] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 8ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
496 Pilot02 1 cnn1d ... -11.103417 -0.052004 0.066497
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
[501 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
64 |64 |filter_unit1
256 |256 |filter_unit2
128 |128 |filter_unit3
4 |4 |kernel_size0
1 |1 |kernel_size1
3 |3 |kernel_size2
3 |3 |kernel_size3
4 |4 |pool_size0
3 |3 |pool_size1
1 |1 |pool_size2
3 |3 |pool_size3
4 |4 |stride_size0
1 |1 |stride_size1
4 |4 |stride_size2
5 |5 |stride_size3
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0.4 |0.4 |dropout3
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.280742645263672
Best val_loss So Far: 19.280742645263672
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
64 |64 |filter_unit1
128 |256 |filter_unit2
5 |4 |kernel_size0
3 |1 |kernel_size1
3 |3 |kernel_size2
4 |4 |pool_size0
2 |3 |pool_size1
2 |1 |pool_size2
3 |4 |stride_size0
5 |1 |stride_size1
5 |4 |stride_size2
0.2 |0.1 |dropout0
0.3 |0.4 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.18757438659668
Best val_loss So Far: 19.18757438659668
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
64 |64 |filter_unit1
128 |128 |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
4 |3 |kernel_size1
5 |3 |kernel_size2
5 |None |kernel_size3
5 |4 |pool_size0
4 |2 |pool_size1
5 |2 |pool_size2
4 |None |pool_size3
5 |3 |stride_size0
1 |5 |stride_size1
3 |5 |stride_size2
3 |None |stride_size3
0 |0.2 |dropout0
0 |0.3 |dropout1
0.1 |0.4 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 18.97868537902832
Best val_loss So Far: 18.97868537902832
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
32 |64 |filter_unit1
256 |128 |filter_unit2
256 |128 |filter_unit3
5 |4 |kernel_size0
1 |4 |kernel_size1
3 |5 |kernel_size2
1 |5 |kernel_size3
5 |5 |pool_size0
3 |4 |pool_size1
2 |5 |pool_size2
4 |4 |pool_size3
2 |5 |stride_size0
3 |1 |stride_size1
1 |3 |stride_size2
4 |3 |stride_size3
0.1 |0 |dropout0
0 |0 |dropout1
0.3 |0.1 |dropout2
0.1 |0.1 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.260303497314453
Best val_loss So Far: 18.97868537902832
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
64 |64 |filter_unit1
4 |4 |kernel_size0
2 |4 |kernel_size1
4 |5 |pool_size0
5 |4 |pool_size1
1 |5 |stride_size0
3 |1 |stride_size1
0.1 |0 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.520126342773438
Best val_loss So Far: 18.97868537902832
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |256 |filter_unit0
1 |4 |kernel_size0
1 |5 |pool_size0
1 |5 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.170734405517578
Best val_loss So Far: 18.97868537902832
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
128 |64 |filter_unit1
2 |4 |kernel_size0
1 |4 |kernel_size1
3 |5 |pool_size0
5 |4 |pool_size1
4 |5 |stride_size0
5 |1 |stride_size1
0.1 |0 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 18.747522354125977
Best val_loss So Far: 18.747522354125977
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |256 |filter_unit0
64 |128 |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
4 |2 |kernel_size0
1 |1 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
4 |3 |pool_size0
2 |5 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
4 |4 |stride_size0
3 |5 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.4 |0.1 |dropout0
0 |0.1 |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.450183868408203
Best val_loss So Far: 18.747522354125977
Total elapsed time: 00h 00m 35s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |256 |filter_unit0
64 |128 |filter_unit1
128 |None |filter_unit2
2 |2 |kernel_size0
4 |1 |kernel_size1
4 |None |kernel_size2
2 |3 |pool_size0
4 |5 |pool_size1
1 |None |pool_size2
3 |4 |stride_size0
4 |5 |stride_size1
2 |None |stride_size2
0.2 |0.1 |dropout0
0.3 |0.1 |dropout1
0 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.17991065979004
Best val_loss So Far: 18.747522354125977
Total elapsed time: 00h 00m 39s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
1 |2 |kernel_size0
2 |1 |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
5 |3 |pool_size0
3 |5 |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |4 |stride_size0
1 |5 |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0.3 |0.1 |dropout0
0.2 |0.1 |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 18.627727508544922
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 00m 45s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |256 |filter_unit0
32 |128 |filter_unit1
128 |128 |filter_unit2
4 |1 |kernel_size0
3 |2 |kernel_size1
4 |4 |kernel_size2
4 |5 |pool_size0
2 |3 |pool_size1
3 |3 |pool_size2
4 |1 |stride_size0
2 |1 |stride_size1
5 |5 |stride_size2
0 |0.3 |dropout0
0.1 |0.2 |dropout1
0 |0 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 05s]
val_loss: 19.058557510375977
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 00m 50s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |256 |filter_unit0
32 |128 |filter_unit1
256 |128 |filter_unit2
64 |64 |filter_unit3
5 |1 |kernel_size0
4 |2 |kernel_size1
1 |4 |kernel_size2
4 |3 |kernel_size3
4 |5 |pool_size0
1 |3 |pool_size1
4 |3 |pool_size2
1 |1 |pool_size3
4 |1 |stride_size0
3 |1 |stride_size1
1 |5 |stride_size2
4 |1 |stride_size3
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
0.3 |0 |dropout2
0.1 |0.4 |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 18.774700164794922
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
64 |128 |filter_unit1
256 |128 |filter_unit2
3 |1 |kernel_size0
1 |2 |kernel_size1
2 |4 |kernel_size2
4 |5 |pool_size0
4 |3 |pool_size1
5 |3 |pool_size2
1 |1 |stride_size0
2 |1 |stride_size1
4 |5 |stride_size2
0 |0.3 |dropout0
0.1 |0.2 |dropout1
0.2 |0 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.430927276611328
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
4 |1 |kernel_size0
4 |2 |kernel_size1
3 |5 |pool_size0
3 |3 |pool_size1
4 |1 |stride_size0
1 |1 |stride_size1
0 |0.3 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.501371383666992
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 01m 04s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |256 |filter_unit0
1 |1 |kernel_size0
4 |5 |pool_size0
4 |1 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 19.019454956054688
Best val_loss So Far: 18.627727508544922
Total elapsed time: 00h 01m 07s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
128 |128 |filter_unit2
32 |64 |filter_unit3
256 |None |filter_unit4
4 |1 |kernel_size0
2 |2 |kernel_size1
4 |4 |kernel_size2
4 |3 |kernel_size3
4 |None |kernel_size4
3 |5 |pool_size0
5 |3 |pool_size1
3 |3 |pool_size2
4 |1 |pool_size3
3 |None |pool_size4
3 |1 |stride_size0
2 |1 |stride_size1
1 |5 |stride_size2
5 |1 |stride_size3
4 |None |stride_size4
0 |0.3 |dropout0
0.4 |0.2 |dropout1
0.2 |0 |dropout2
0.1 |0.4 |dropout3
0 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 18.594589233398438
Best val_loss So Far: 18.594589233398438
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |128 |filter_unit0
256 |32 |filter_unit1
64 |128 |filter_unit2
64 |32 |filter_unit3
128 |256 |filter_unit4
2 |4 |kernel_size0
4 |2 |kernel_size1
4 |4 |kernel_size2
2 |4 |kernel_size3
5 |4 |kernel_size4
2 |3 |pool_size0
4 |5 |pool_size1
5 |3 |pool_size2
1 |4 |pool_size3
2 |3 |pool_size4
1 |3 |stride_size0
2 |2 |stride_size1
2 |1 |stride_size2
5 |5 |stride_size3
2 |4 |stride_size4
0.3 |0 |dropout0
0.1 |0.4 |dropout1
0.4 |0.2 |dropout2
0.1 |0.1 |dropout3
0.4 |0 |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 07s]
val_loss: 18.849363327026367
Best val_loss So Far: 18.594589233398438
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
256 |32 |filter_unit3
64 |256 |filter_unit4
1 |4 |kernel_size0
5 |2 |kernel_size1
4 |4 |kernel_size2
3 |4 |kernel_size3
5 |4 |kernel_size4
4 |3 |pool_size0
1 |5 |pool_size1
4 |3 |pool_size2
5 |4 |pool_size3
1 |3 |pool_size4
4 |3 |stride_size0
5 |2 |stride_size1
1 |1 |stride_size2
1 |5 |stride_size3
1 |4 |stride_size4
0.3 |0 |dropout0
0.2 |0.4 |dropout1
0.4 |0.2 |dropout2
0.4 |0.1 |dropout3
0.3 |0 |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.140592575073242
Best val_loss So Far: 18.594589233398438
Total elapsed time: 00h 01m 27s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
128 |32 |filter_unit1
256 |128 |filter_unit2
256 |32 |filter_unit3
5 |4 |kernel_size0
1 |2 |kernel_size1
4 |4 |kernel_size2
4 |4 |kernel_size3
2 |3 |pool_size0
1 |5 |pool_size1
5 |3 |pool_size2
1 |4 |pool_size3
5 |3 |stride_size0
4 |2 |stride_size1
1 |1 |stride_size2
2 |5 |stride_size3
0 |0 |dropout0
0 |0.4 |dropout1
0.1 |0.2 |dropout2
0.2 |0.1 |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 17.962419509887695
Best val_loss So Far: 17.962419509887695
Total elapsed time: 00h 01m 33s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
256 |256 |filter_unit2
64 |256 |filter_unit3
256 |None |filter_unit4
1 |5 |kernel_size0
2 |1 |kernel_size1
5 |4 |kernel_size2
3 |4 |kernel_size3
1 |None |kernel_size4
4 |2 |pool_size0
5 |1 |pool_size1
3 |5 |pool_size2
1 |1 |pool_size3
5 |None |pool_size4
1 |5 |stride_size0
4 |4 |stride_size1
5 |1 |stride_size2
3 |2 |stride_size3
4 |None |stride_size4
0.3 |0 |dropout0
0.3 |0 |dropout1
0 |0.1 |dropout2
0.3 |0.2 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 19.23141098022461
Best val_loss So Far: 17.962419509887695
Total elapsed time: 00h 01m 39s
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 1, 'stride_size0': 5, 'stride_size1': 4, 'stride_size2': 1, 'stride_size3': 2, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.1, 'dropout3': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 16.4071
4/4 [==============================] - ETA: 0s - loss: 14.3348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 4s 127ms/step - loss: 14.3348 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 11.1081 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 8.4522 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.6608 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.1790 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.4386 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.5937 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3829 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8907 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5751 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6784 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3139 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2150 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7860 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3874WARNING: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: 1.7340 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9655 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6235 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7757 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5937 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5663 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6622 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5365 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5939 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7648 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6355 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5232 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5550 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7510 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5039 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7466 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3304 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3494 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4647 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2834 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4149 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2985 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4318WARNING: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: 1.2759 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3354 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4206WARNING: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 8ms/step - loss: 1.3137 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4680 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3091 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4476 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2330 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1950 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2083 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4666 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4267 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2749 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5863WARNING: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 8ms/step - loss: 1.5086 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6312WARNING: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 8ms/step - loss: 1.4070 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1937 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0897 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2491 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2442 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2586 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3840 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1243 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2200 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0992 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1333 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0737 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1222 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3220 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2506 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1941 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1278 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2129 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1078 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2853 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2604 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1609 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1213 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3104 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2172 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2134 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1829 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8554 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0977 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0261WARNING: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 8ms/step - loss: 1.1366 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2024 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0225 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0972 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2899 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1977 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1077 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0930 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.2885 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0521WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0329 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1510 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1183 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1956 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.3386 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0649 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9398 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9914 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0363 - lr: 1.0000e-04
Epoch 97/200
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 8ms/step - loss: 1.0790 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0547 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0023 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9753 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0441WARNING: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 8ms/step - loss: 1.0687 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0154 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0803 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3146WARNING: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 8ms/step - loss: 1.1358 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1888 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1179 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9824 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8717 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1602 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0432 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8941 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9816 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0643 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0527 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9927 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8989 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0564 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0004 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8196WARNING: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: 1.0304 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9864 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9250 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8455 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9486 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9356 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1832 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8514 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9777 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9668WARNING: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 8ms/step - loss: 0.9101 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8303 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8486 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9334 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9537 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9857 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0223 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8280 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8643 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9086 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0337 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0461 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8288 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0101 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7604 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8833 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8935 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8478 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8308 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1553WARNING: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 8ms/step - loss: 1.0100 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8605 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9950 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9326 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9471 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9285 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0035 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8827 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8628WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9047 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8669 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8406 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9584 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0229 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8829 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9386 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8849 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9827 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7805 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0282 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8769 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9443 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9411 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9333 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8887 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9609 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9455 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0460WARNING: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 8ms/step - loss: 0.9277 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7657 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9539 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8806 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0630 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0972 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9658 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9212 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8244 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.0677 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8892 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8800WARNING: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 8ms/step - loss: 0.8275 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9434 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9615 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8797 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7835 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9387 - lr: 1.3639e-08
Epoch 190/200
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 8ms/step - loss: 0.9339 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9533 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9494WARNING: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 8ms/step - loss: 0.8954 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8495 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.9761 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8706 - lr: 7.4851e-09
Epoch 196/200
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 8ms/step - loss: 0.8698 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.8397 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7570 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.1599 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.7889 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'kernel_size3': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 5, 'pool_size3': 1, 'stride_size0': 5, 'stride_size1': 4, 'stride_size2': 1, 'stride_size3': 2, 'dropout0': 0.0, 'dropout1': 0.0, 'dropout2': 0.1, 'dropout3': 0.2}
1/39 [..............................] - ETA: 13s
22/39 [===============>..............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 4ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
497 Pilot02 1 cnn1d ... -0.832873 -0.044046 0.120192
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
[502 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
256 |256 |filter_unit1
4 |4 |kernel_size0
5 |5 |kernel_size1
4 |4 |pool_size0
2 |2 |pool_size1
5 |5 |stride_size0
1 |1 |stride_size1
0.4 |0.4 |dropout0
0 |0 |dropout1
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.92835807800293
Best val_loss So Far: 19.92835807800293
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |32 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
1 |4 |kernel_size0
4 |5 |kernel_size1
4 |None |kernel_size2
3 |4 |pool_size0
5 |2 |pool_size1
4 |None |pool_size2
4 |5 |stride_size0
3 |1 |stride_size1
5 |None |stride_size2
0.3 |0.4 |dropout0
0.3 |0 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.45661163330078
Best val_loss So Far: 19.45661163330078
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
64 |32 |filter_unit2
1 |1 |kernel_size0
4 |4 |kernel_size1
1 |4 |kernel_size2
1 |3 |pool_size0
3 |5 |pool_size1
2 |4 |pool_size2
3 |4 |stride_size0
5 |3 |stride_size1
5 |5 |stride_size2
0 |0.3 |dropout0
0.3 |0.3 |dropout1
0.4 |0.1 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.60354995727539
Best val_loss So Far: 19.45661163330078
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
256 |32 |filter_unit2
3 |1 |kernel_size0
1 |4 |kernel_size1
1 |4 |kernel_size2
3 |3 |pool_size0
5 |5 |pool_size1
1 |4 |pool_size2
5 |4 |stride_size0
2 |3 |stride_size1
5 |5 |stride_size2
0 |0.3 |dropout0
0.1 |0.3 |dropout1
0.1 |0.1 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.460586547851562
Best val_loss So Far: 19.45661163330078
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |256 |filter_unit0
256 |128 |filter_unit1
4 |1 |kernel_size0
1 |4 |kernel_size1
5 |3 |pool_size0
1 |5 |pool_size1
3 |4 |stride_size0
5 |3 |stride_size1
0.1 |0.3 |dropout0
0.1 |0.3 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.338808059692383
Best val_loss So Far: 19.338808059692383
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |128 |filter_unit0
32 |256 |filter_unit1
4 |4 |kernel_size0
1 |1 |kernel_size1
5 |5 |pool_size0
1 |1 |pool_size1
3 |3 |stride_size0
4 |5 |stride_size1
0.4 |0.1 |dropout0
0.4 |0.1 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 20.635303497314453
Best val_loss So Far: 19.338808059692383
Total elapsed time: 00h 00m 24s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |128 |filter_unit0
32 |256 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
3 |1 |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
1 |5 |pool_size0
5 |1 |pool_size1
3 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
5 |3 |stride_size0
2 |5 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.4 |0.1 |dropout0
0.2 |0.1 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 07s]
val_loss: 19.0649471282959
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
128 |32 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
3 |5 |kernel_size0
5 |3 |kernel_size1
4 |4 |kernel_size2
2 |3 |kernel_size3
3 |1 |pool_size0
2 |5 |pool_size1
5 |3 |pool_size2
2 |1 |pool_size3
1 |5 |stride_size0
4 |2 |stride_size1
2 |3 |stride_size2
1 |5 |stride_size3
0.1 |0.4 |dropout0
0.1 |0.2 |dropout1
0.1 |0.3 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.486927032470703
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
128 |256 |filter_unit2
4 |5 |kernel_size0
3 |3 |kernel_size1
1 |4 |kernel_size2
2 |1 |pool_size0
4 |5 |pool_size1
5 |3 |pool_size2
4 |5 |stride_size0
1 |2 |stride_size1
1 |3 |stride_size2
0.3 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 20.16678237915039
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |128 |filter_unit0
64 |32 |filter_unit1
128 |256 |filter_unit2
3 |5 |kernel_size0
4 |3 |kernel_size1
3 |4 |kernel_size2
1 |1 |pool_size0
2 |5 |pool_size1
5 |3 |pool_size2
5 |5 |stride_size0
4 |2 |stride_size1
4 |3 |stride_size2
0.3 |0.4 |dropout0
0.4 |0.2 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.783754348754883
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
256 |128 |filter_unit0
3 |5 |kernel_size0
3 |1 |pool_size0
2 |5 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.319904327392578
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 50s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
64 |128 |filter_unit0
32 |32 |filter_unit1
64 |256 |filter_unit2
32 |256 |filter_unit3
128 |256 |filter_unit4
2 |5 |kernel_size0
5 |3 |kernel_size1
1 |4 |kernel_size2
3 |3 |kernel_size3
2 |3 |kernel_size4
1 |1 |pool_size0
1 |5 |pool_size1
5 |3 |pool_size2
1 |1 |pool_size3
1 |2 |pool_size4
3 |5 |stride_size0
2 |2 |stride_size1
4 |3 |stride_size2
4 |5 |stride_size3
1 |4 |stride_size4
0.3 |0.4 |dropout0
0.1 |0.2 |dropout1
0.4 |0.3 |dropout2
0.1 |0.4 |dropout3
0.2 |0.3 |dropout4
2023-11-24 12:54:09.405121: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_11/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate5936481456602528382; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_79_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_11/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate5936481456602528382; No such file or directory [Op:SaveV2]
[2K
[2K
Trial 12 Complete [00h 00m 05s]
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 00m 55s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |128 |filter_unit0
64 |32 |filter_unit1
32 |256 |filter_unit2
32 |256 |filter_unit3
256 |256 |filter_unit4
1 |5 |kernel_size0
4 |3 |kernel_size1
4 |4 |kernel_size2
5 |3 |kernel_size3
1 |3 |kernel_size4
4 |1 |pool_size0
3 |5 |pool_size1
1 |3 |pool_size2
2 |1 |pool_size3
4 |2 |pool_size4
5 |5 |stride_size0
2 |2 |stride_size1
2 |3 |stride_size2
4 |5 |stride_size3
5 |4 |stride_size4
0 |0.4 |dropout0
0.1 |0.2 |dropout1
0 |0.3 |dropout2
0.1 |0.4 |dropout3
0.2 |0.3 |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 07s]
val_loss: 19.788436889648438
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 01s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
64 |128 |filter_unit0
128 |32 |filter_unit1
3 |5 |kernel_size0
5 |3 |kernel_size1
3 |1 |pool_size0
3 |5 |pool_size1
1 |5 |stride_size0
3 |2 |stride_size1
0.2 |0.4 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.75434684753418
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 05s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
256 |256 |filter_unit2
128 |256 |filter_unit3
1 |5 |kernel_size0
5 |3 |kernel_size1
4 |4 |kernel_size2
1 |3 |kernel_size3
2 |1 |pool_size0
5 |5 |pool_size1
5 |3 |pool_size2
2 |1 |pool_size3
3 |5 |stride_size0
2 |2 |stride_size1
2 |3 |stride_size2
1 |5 |stride_size3
0.3 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.62470245361328
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 11s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
1 |5 |kernel_size0
4 |1 |pool_size0
1 |5 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.248916625976562
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 14s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |128 |filter_unit0
256 |32 |filter_unit1
32 |256 |filter_unit2
2 |5 |kernel_size0
3 |3 |kernel_size1
1 |4 |kernel_size2
5 |1 |pool_size0
1 |5 |pool_size1
2 |3 |pool_size2
4 |5 |stride_size0
2 |2 |stride_size1
2 |3 |stride_size2
0.4 |0.4 |dropout0
0.3 |0.2 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 20.42365837097168
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 19s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
128 |32 |filter_unit1
128 |256 |filter_unit2
64 |256 |filter_unit3
5 |5 |kernel_size0
2 |3 |kernel_size1
4 |4 |kernel_size2
2 |3 |kernel_size3
3 |1 |pool_size0
1 |5 |pool_size1
1 |3 |pool_size2
5 |1 |pool_size3
4 |5 |stride_size0
1 |2 |stride_size1
2 |3 |stride_size2
3 |5 |stride_size3
0 |0.4 |dropout0
0.3 |0.2 |dropout1
0 |0.3 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.712568283081055
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 25s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |128 |filter_unit0
64 |32 |filter_unit1
1 |5 |kernel_size0
2 |3 |kernel_size1
2 |1 |pool_size0
2 |5 |pool_size1
5 |5 |stride_size0
5 |2 |stride_size1
0.2 |0.4 |dropout0
0.3 |0.2 |dropout1
2023-11-24 12:54:41.821439: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_18/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0/bayesianoptimization/trial_18/checkpoint_temp/part-00000-of-00001.data-00000-of-00001; No such file or directory [Op:MergeV2Checkpoints]
[2K
[2K
Trial 19 Complete [00h 00m 03s]
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 27s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |128 |filter_unit0
256 |32 |filter_unit1
64 |256 |filter_unit2
32 |256 |filter_unit3
256 |256 |filter_unit4
3 |5 |kernel_size0
3 |3 |kernel_size1
4 |4 |kernel_size2
4 |3 |kernel_size3
2 |3 |kernel_size4
3 |1 |pool_size0
2 |5 |pool_size1
4 |3 |pool_size2
4 |1 |pool_size3
2 |2 |pool_size4
5 |5 |stride_size0
1 |2 |stride_size1
3 |3 |stride_size2
5 |5 |stride_size3
4 |4 |stride_size4
0.1 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.3 |dropout2
0.4 |0.4 |dropout3
0.3 |0.3 |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.820829391479492
Best val_loss So Far: 19.0649471282959
Total elapsed time: 00h 01m 34s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 32, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 3, 'kernel_size4': 3, 'pool_size0': 1, 'pool_size1': 5, 'pool_size2': 3, 'pool_size3': 1, 'pool_size4': 2, 'stride_size0': 5, 'stride_size1': 2, 'stride_size2': 3, 'stride_size3': 5, 'stride_size4': 4, 'dropout0': 0.4, 'dropout1': 0.2, 'dropout2': 0.30000000000000004, 'dropout3': 0.4, 'dropout4': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 11s - loss: 11.4762
4/4 [==============================] - ETA: 0s - loss: 10.7342 WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 4s 127ms/step - loss: 10.7342 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.9816 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.6644 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.3795 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 11.5366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.9369 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.8106 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.6536 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.4122 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.1269 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.6693 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.0923 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.1512 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 8.1010 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.6818 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2085WARNING: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 9ms/step - loss: 7.7592 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8410WARNING: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 9ms/step - loss: 7.1718 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.1053 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.9546 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.9669 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.8588 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.6383 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.2236 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.3091 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.0235 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.6431 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.4966 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.4989 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.4548 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.1277 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9655 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.7923 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5897 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0516WARNING: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 9ms/step - loss: 5.1125 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7010 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.5359 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.4882 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2454 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2115 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2678WARNING: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 9ms/step - loss: 3.9940 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3789 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2065 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.0280 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9458 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7145 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9146 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5097 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5050 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5856 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2079 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6338 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2293 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1418 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2851 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.2057 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1936 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0457WARNING: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: 3.3702 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.3787 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3229 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2933 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1469 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7453 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9429 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0524 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9358 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0412 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9041 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1561 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7864 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0468 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1937 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8924 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9989 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9852 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7715 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9651 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7412 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8117 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8391 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7537 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8568 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6251 - lr: 1.0000e-04
Epoch 82/200
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 9ms/step - loss: 2.7942 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.8468 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6666 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4640WARNING: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 9ms/step - loss: 2.8372 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7611 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6689 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5834 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5043 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7632 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5837 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7577 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6870 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4939 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5646 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6992 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6479 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.9417 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7345 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6427 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8269WARNING: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 8ms/step - loss: 2.5899 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5704 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5636 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7959 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3772 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7421 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6072 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5635 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5425 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7446 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5243 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5141 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5335WARNING: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 8ms/step - loss: 2.6692 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5095 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5707 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4387WARNING: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: 2.6040 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6020 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4179 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6187 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2405 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3627 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3593 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 2.7854 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3556 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4663 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1359WARNING: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 8ms/step - loss: 2.5454 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3762WARNING: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 9ms/step - loss: 2.4164 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7625 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7359 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4115 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7325 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4701 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1712 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3361 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7226 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6539 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6216 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3759 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3891 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4788 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5893 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8543WARNING: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 9ms/step - loss: 2.4763 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6095 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4890 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5244 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9048WARNING: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 8ms/step - loss: 2.5773 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3855 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8990WARNING: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 9ms/step - loss: 3.0077 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4091 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3198 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4856 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4280 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6177 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6001 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4837 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1120 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1353 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0699 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5577 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5009 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.7745 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5381 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4639 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3473 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4105 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3457 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5091 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4522 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4051 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6680 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5153 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.2967 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5395 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6188 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6094 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5779 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3877 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6771 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3914 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8121 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3866 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5233 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6588 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5381 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6105 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5006 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7914 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4630 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6650WARNING: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 8ms/step - loss: 2.2795 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5624 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4224 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6389 - lr: 1.0104e-08
Epoch 193/200
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 9ms/step - loss: 2.3396 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.5055 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5335 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6032 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5441 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5505 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4146 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4248 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 32, 'filter_unit2': 256, 'filter_unit3': 256, 'filter_unit4': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 4, 'kernel_size3': 3, 'kernel_size4': 3, 'pool_size0': 1, 'pool_size1': 5, 'pool_size2': 3, 'pool_size3': 1, 'pool_size4': 2, 'stride_size0': 5, 'stride_size1': 2, 'stride_size2': 3, 'stride_size3': 5, 'stride_size4': 4, 'dropout0': 0.4, 'dropout1': 0.2, 'dropout2': 0.30000000000000004, 'dropout3': 0.4, 'dropout4': 0.30000000000000004}
1/39 [..............................] - ETA: 17s
22/39 [===============>..............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 4ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
498 Pilot02 1 cnn1d ... -3.402421 0.012698 0.654308
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
[503 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
32 |32 |filter_unit2
128 |128 |filter_unit3
3 |3 |kernel_size0
4 |4 |kernel_size1
1 |1 |kernel_size2
2 |2 |kernel_size3
1 |1 |pool_size0
5 |5 |pool_size1
5 |5 |pool_size2
3 |3 |pool_size3
2 |2 |stride_size0
1 |1 |stride_size1
3 |3 |stride_size2
4 |4 |stride_size3
0 |0 |dropout0
0.2 |0.2 |dropout1
0.1 |0.1 |dropout2
0.3 |0.3 |dropout3
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 19.744104385375977
Best val_loss So Far: 19.744104385375977
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |32 |filter_unit0
256 |32 |filter_unit1
256 |32 |filter_unit2
64 |128 |filter_unit3
5 |3 |kernel_size0
1 |4 |kernel_size1
2 |1 |kernel_size2
1 |2 |kernel_size3
5 |1 |pool_size0
2 |5 |pool_size1
5 |5 |pool_size2
1 |3 |pool_size3
5 |2 |stride_size0
5 |1 |stride_size1
2 |3 |stride_size2
5 |4 |stride_size3
0.3 |0 |dropout0
0.3 |0.2 |dropout1
0.1 |0.1 |dropout2
0.4 |0.3 |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.767475128173828
Best val_loss So Far: 19.744104385375977
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |32 |filter_unit0
64 |32 |filter_unit1
5 |3 |kernel_size0
4 |4 |kernel_size1
4 |1 |pool_size0
3 |5 |pool_size1
5 |2 |stride_size0
1 |1 |stride_size1
0.1 |0 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.556650161743164
Best val_loss So Far: 19.556650161743164
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |32 |filter_unit0
4 |5 |kernel_size0
1 |4 |pool_size0
4 |5 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 20.587810516357422
Best val_loss So Far: 19.556650161743164
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
5 |5 |kernel_size0
4 |4 |kernel_size1
3 |4 |pool_size0
5 |3 |pool_size1
5 |5 |stride_size0
2 |1 |stride_size1
0.2 |0.1 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.317180633544922
Best val_loss So Far: 19.317180633544922
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |32 |filter_unit0
256 |128 |filter_unit1
256 |None |filter_unit2
2 |5 |kernel_size0
5 |4 |kernel_size1
5 |None |kernel_size2
3 |3 |pool_size0
2 |5 |pool_size1
2 |None |pool_size2
2 |5 |stride_size0
2 |2 |stride_size1
1 |None |stride_size2
0.3 |0.2 |dropout0
0.4 |0.3 |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.737913131713867
Best val_loss So Far: 19.317180633544922
Total elapsed time: 00h 00m 23s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
64 |128 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
5 |5 |kernel_size0
5 |4 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
3 |3 |pool_size0
4 |5 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
2 |5 |stride_size0
5 |2 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0 |0.2 |dropout0
0.4 |0.3 |dropout1
0.1 |None |dropout2
0 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.644636154174805
Best val_loss So Far: 19.317180633544922
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |32 |filter_unit0
64 |128 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
3 |5 |kernel_size0
3 |4 |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
4 |3 |pool_size0
1 |5 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |5 |stride_size0
2 |2 |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0 |0.3 |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 20.06389045715332
Best val_loss So Far: 19.317180633544922
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |32 |filter_unit0
128 |128 |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
2 |5 |kernel_size0
1 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
4 |5 |pool_size1
2 |None |pool_size2
1 |None |pool_size3
4 |None |pool_size4
1 |5 |stride_size0
2 |2 |stride_size1
5 |None |stride_size2
1 |None |stride_size3
3 |None |stride_size4
0.1 |0.2 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 07s]
val_loss: 19.7279052734375
Best val_loss So Far: 19.317180633544922
Total elapsed time: 00h 00m 41s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |32 |filter_unit0
256 |128 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
5 |5 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
5 |3 |pool_size0
4 |5 |pool_size1
2 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
4 |5 |stride_size0
3 |2 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0 |0.2 |dropout0
0.2 |0.3 |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 07s]
val_loss: 19.28102684020996
Best val_loss So Far: 19.28102684020996
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
128 |256 |filter_unit1
256 |32 |filter_unit2
256 |128 |filter_unit3
5 |5 |kernel_size0
3 |3 |kernel_size1
1 |3 |kernel_size2
3 |5 |kernel_size3
1 |5 |pool_size0
2 |4 |pool_size1
4 |2 |pool_size2
2 |5 |pool_size3
1 |4 |stride_size0
1 |3 |stride_size1
4 |3 |stride_size2
2 |3 |stride_size3
0.1 |0 |dropout0
0.1 |0.2 |dropout1
0.4 |0.2 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.067113876342773
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 00m 53s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
64 |128 |filter_unit1
128 |256 |filter_unit2
4 |5 |kernel_size0
3 |3 |kernel_size1
3 |1 |kernel_size2
2 |1 |pool_size0
5 |2 |pool_size1
2 |4 |pool_size2
1 |1 |stride_size0
3 |1 |stride_size1
5 |4 |stride_size2
0 |0.1 |dropout0
0.2 |0.1 |dropout1
0.3 |0.4 |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.319931030273438
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 00m 57s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
128 |256 |filter_unit2
4 |5 |kernel_size0
2 |3 |kernel_size1
4 |1 |kernel_size2
5 |1 |pool_size0
4 |2 |pool_size1
5 |4 |pool_size2
1 |1 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.1 |dropout1
0.2 |0.4 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.564218521118164
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |128 |filter_unit0
128 |128 |filter_unit1
128 |256 |filter_unit2
128 |256 |filter_unit3
3 |5 |kernel_size0
1 |3 |kernel_size1
3 |1 |kernel_size2
4 |3 |kernel_size3
1 |1 |pool_size0
4 |2 |pool_size1
5 |4 |pool_size2
2 |2 |pool_size3
5 |1 |stride_size0
1 |1 |stride_size1
5 |4 |stride_size2
3 |2 |stride_size3
0.2 |0.1 |dropout0
0.1 |0.1 |dropout1
0.3 |0.4 |dropout2
0.4 |0 |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.29090118408203
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
32 |256 |filter_unit2
2 |5 |kernel_size0
3 |3 |kernel_size1
5 |1 |kernel_size2
5 |1 |pool_size0
3 |2 |pool_size1
4 |4 |pool_size2
5 |1 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.2 |0.1 |dropout0
0.3 |0.1 |dropout1
0.3 |0.4 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.7357120513916
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 11s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |128 |filter_unit0
256 |128 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
4 |5 |kernel_size0
5 |3 |kernel_size1
4 |1 |kernel_size2
5 |3 |kernel_size3
1 |1 |pool_size0
3 |2 |pool_size1
3 |4 |pool_size2
1 |2 |pool_size3
1 |1 |stride_size0
2 |1 |stride_size1
2 |4 |stride_size2
4 |2 |stride_size3
0.4 |0.1 |dropout0
0 |0.1 |dropout1
0.4 |0.4 |dropout2
0.4 |0 |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 19.35292625427246
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 18s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |128 |filter_unit0
128 |128 |filter_unit1
32 |256 |filter_unit2
256 |256 |filter_unit3
128 |None |filter_unit4
2 |5 |kernel_size0
4 |3 |kernel_size1
2 |1 |kernel_size2
3 |3 |kernel_size3
1 |None |kernel_size4
4 |1 |pool_size0
2 |2 |pool_size1
1 |4 |pool_size2
4 |2 |pool_size3
2 |None |pool_size4
2 |1 |stride_size0
4 |1 |stride_size1
2 |4 |stride_size2
4 |2 |stride_size3
2 |None |stride_size4
0.3 |0.1 |dropout0
0.4 |0.1 |dropout1
0 |0.4 |dropout2
0.2 |0 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 06s]
val_loss: 19.655624389648438
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 24s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |128 |filter_unit0
128 |128 |filter_unit1
32 |256 |filter_unit2
32 |256 |filter_unit3
32 |None |filter_unit4
1 |5 |kernel_size0
2 |3 |kernel_size1
5 |1 |kernel_size2
4 |3 |kernel_size3
2 |None |kernel_size4
1 |1 |pool_size0
3 |2 |pool_size1
5 |4 |pool_size2
4 |2 |pool_size3
5 |None |pool_size4
2 |1 |stride_size0
2 |1 |stride_size1
5 |4 |stride_size2
3 |2 |stride_size3
2 |None |stride_size4
0.1 |0.1 |dropout0
0.1 |0.1 |dropout1
0 |0.4 |dropout2
0.3 |0 |dropout3
0 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.75284194946289
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 30s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |128 |filter_unit0
256 |128 |filter_unit1
128 |256 |filter_unit2
2 |5 |kernel_size0
3 |3 |kernel_size1
2 |1 |kernel_size2
4 |1 |pool_size0
4 |2 |pool_size1
3 |4 |pool_size2
1 |1 |stride_size0
2 |1 |stride_size1
2 |4 |stride_size2
0.4 |0.1 |dropout0
0 |0.1 |dropout1
0.1 |0.4 |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.561538696289062
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 34s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |128 |filter_unit0
64 |128 |filter_unit1
4 |5 |kernel_size0
3 |3 |kernel_size1
4 |1 |pool_size0
2 |2 |pool_size1
4 |1 |stride_size0
4 |1 |stride_size1
0.1 |0.1 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 20.15900993347168
Best val_loss So Far: 19.067113876342773
Total elapsed time: 00h 01m 37s
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 1, 'kernel_size3': 3, 'pool_size0': 1, 'pool_size1': 2, 'pool_size2': 4, 'pool_size3': 2, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 4, 'stride_size3': 2, 'dropout0': 0.1, 'dropout1': 0.1, 'dropout2': 0.4, 'dropout3': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 9s - loss: 32.9783
3/4 [=====================>........] - ETA: 0s - loss: 31.8890
4/4 [==============================] - ETA: 0s - loss: 31.0601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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 66ms/step - loss: 31.0601 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 27.4666
3/4 [=====================>........] - ETA: 0s - loss: 27.2566WARNING: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 23ms/step - loss: 27.1245 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 24.7741
3/4 [=====================>........] - ETA: 0s - loss: 23.9281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 23.9104 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 20.6999
3/4 [=====================>........] - ETA: 0s - loss: 20.0460WARNING: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 23ms/step - loss: 19.9691 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1338
3/4 [=====================>........] - ETA: 0s - loss: 17.2291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 16.6145 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5003
3/4 [=====================>........] - ETA: 0s - loss: 13.5392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 13.2287 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8762
3/4 [=====================>........] - ETA: 0s - loss: 10.6464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 10.1138 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5340
3/4 [=====================>........] - ETA: 0s - loss: 7.9363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 8.1246 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0490
3/4 [=====================>........] - ETA: 0s - loss: 7.5176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 7.2008 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6694
3/4 [=====================>........] - ETA: 0s - loss: 6.2648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 6.4777 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0104
3/4 [=====================>........] - ETA: 0s - loss: 5.6979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.8922 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4770
3/4 [=====================>........] - ETA: 0s - loss: 5.1455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 5.1236 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3397
3/4 [=====================>........] - ETA: 0s - loss: 5.8418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 6.0244 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9190
3/4 [=====================>........] - ETA: 0s - loss: 5.0451WARNING: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 23ms/step - loss: 5.0199 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9440
3/4 [=====================>........] - ETA: 0s - loss: 4.3488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.3559 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2352
3/4 [=====================>........] - ETA: 0s - loss: 4.6405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 4.4957 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3980
3/4 [=====================>........] - ETA: 0s - loss: 4.1149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 4.0568 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9776
3/4 [=====================>........] - ETA: 0s - loss: 4.2079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 4.0696 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2611
3/4 [=====================>........] - ETA: 0s - loss: 3.9017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 4.0984 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3366
3/4 [=====================>........] - ETA: 0s - loss: 3.5060WARNING: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 23ms/step - loss: 3.7167 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6017
3/4 [=====================>........] - ETA: 0s - loss: 3.7976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.7592 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6718
3/4 [=====================>........] - ETA: 0s - loss: 3.4177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.5994 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0919
3/4 [=====================>........] - 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 23ms/step - loss: 3.4837 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1766
3/4 [=====================>........] - ETA: 0s - loss: 3.2531WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 3.2914 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9305
3/4 [=====================>........] - ETA: 0s - loss: 3.4084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 3.2721 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7584
3/4 [=====================>........] - ETA: 0s - loss: 3.2829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 3.2043 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9269
3/4 [=====================>........] - ETA: 0s - loss: 2.8377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.9262 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9255
3/4 [=====================>........] - ETA: 0s - loss: 3.0642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 3.0391 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7028
3/4 [=====================>........] - ETA: 0s - loss: 2.8296WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.9978 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8551
3/4 [=====================>........] - ETA: 0s - loss: 2.8176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.7802 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7066
3/4 [=====================>........] - ETA: 0s - loss: 2.7876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.8632 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6169
3/4 [=====================>........] - ETA: 0s - loss: 2.7025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.8587 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2891
3/4 [=====================>........] - ETA: 0s - loss: 2.5908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.6227 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3662
3/4 [=====================>........] - ETA: 0s - loss: 2.7121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6258 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9110
3/4 [=====================>........] - ETA: 0s - loss: 2.9591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.7898 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3876
3/4 [=====================>........] - ETA: 0s - loss: 3.1008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.9988 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1260
3/4 [=====================>........] - ETA: 0s - loss: 2.7121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.6180 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7080
3/4 [=====================>........] - ETA: 0s - loss: 2.4398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.4653 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7560
3/4 [=====================>........] - ETA: 0s - loss: 2.6262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.6508 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4774
3/4 [=====================>........] - ETA: 0s - loss: 2.3942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.3070 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9373
3/4 [=====================>........] - ETA: 0s - loss: 2.3528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4089 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5545
3/4 [=====================>........] - ETA: 0s - loss: 2.5683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5111 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7352
3/4 [=====================>........] - ETA: 0s - loss: 2.5832WARNING: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 22ms/step - loss: 2.6105 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2729
3/4 [=====================>........] - ETA: 0s - loss: 2.4536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.5053 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1841
3/4 [=====================>........] - ETA: 0s - loss: 2.2246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0884 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4298
3/4 [=====================>........] - ETA: 0s - loss: 2.3124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.4263 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6700
3/4 [=====================>........] - ETA: 0s - loss: 1.9547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0227 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0731
3/4 [=====================>........] - ETA: 0s - loss: 2.4509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.4033 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1055
3/4 [=====================>........] - ETA: 0s - loss: 2.2385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.1070 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2907
3/4 [=====================>........] - ETA: 0s - loss: 2.2378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.2721 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4032
3/4 [=====================>........] - ETA: 0s - loss: 2.3449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.3935 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9453
3/4 [=====================>........] - ETA: 0s - loss: 2.0393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0767 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1925
3/4 [=====================>........] - ETA: 0s - loss: 2.5602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.4042 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1860
3/4 [=====================>........] - ETA: 0s - loss: 2.2368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2922 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1580
3/4 [=====================>........] - ETA: 0s - loss: 2.0125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0549 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9023
3/4 [=====================>........] - ETA: 0s - loss: 2.1742WARNING: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 23ms/step - loss: 2.1985 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8438
3/4 [=====================>........] - ETA: 0s - loss: 2.1178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0546 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0506
3/4 [=====================>........] - ETA: 0s - loss: 2.1023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.0959 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5795
3/4 [=====================>........] - ETA: 0s - loss: 2.2448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2540 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0258
3/4 [=====================>........] - ETA: 0s - loss: 1.9899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0300 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7979
3/4 [=====================>........] - ETA: 0s - loss: 1.8421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8078 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9437
3/4 [=====================>........] - ETA: 0s - loss: 2.1602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.1168 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8683
3/4 [=====================>........] - ETA: 0s - loss: 1.8389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.9229 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7421
3/4 [=====================>........] - ETA: 0s - loss: 2.1247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0765 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3289
3/4 [=====================>........] - ETA: 0s - loss: 2.1489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2378 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0721
3/4 [=====================>........] - ETA: 0s - loss: 2.1775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1721 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0912
3/4 [=====================>........] - ETA: 0s - loss: 2.2168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1724 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2545
3/4 [=====================>........] - ETA: 0s - loss: 1.9487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9611 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7549
3/4 [=====================>........] - ETA: 0s - loss: 1.9679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9922 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2858
3/4 [=====================>........] - ETA: 0s - loss: 2.2561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.2549 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6089
3/4 [=====================>........] - 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 23ms/step - loss: 1.9016 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5978
3/4 [=====================>........] - ETA: 0s - loss: 1.8739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8129 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3858
3/4 [=====================>........] - ETA: 0s - loss: 1.9596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.9660 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8109
3/4 [=====================>........] - ETA: 0s - loss: 1.7301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7509 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8036
3/4 [=====================>........] - ETA: 0s - loss: 1.8303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8116 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1688
3/4 [=====================>........] - ETA: 0s - loss: 2.0841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.9986 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6877
3/4 [=====================>........] - ETA: 0s - loss: 1.7587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7248 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2045
3/4 [=====================>........] - ETA: 0s - loss: 2.0427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.9157 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0199
3/4 [=====================>........] - ETA: 0s - loss: 2.2067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 2.1818 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2334
3/4 [=====================>........] - ETA: 0s - loss: 1.5978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6523 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7530
3/4 [=====================>........] - ETA: 0s - loss: 1.7050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7324 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6153
3/4 [=====================>........] - ETA: 0s - loss: 2.0256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0159 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9234
3/4 [=====================>........] - ETA: 0s - loss: 1.7526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7556 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3582
3/4 [=====================>........] - ETA: 0s - loss: 2.0311WARNING: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 23ms/step - loss: 1.9971 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4699
3/4 [=====================>........] - ETA: 0s - loss: 1.7195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6832 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7342
3/4 [=====================>........] - ETA: 0s - loss: 1.5761WARNING: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 23ms/step - loss: 1.6887 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8204
3/4 [=====================>........] - ETA: 0s - loss: 1.8661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8063 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9849
3/4 [=====================>........] - ETA: 0s - loss: 1.8109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7699 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3432
3/4 [=====================>........] - ETA: 0s - loss: 1.4056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.3947 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0108
3/4 [=====================>........] - 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 23ms/step - loss: 1.9760 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4965
3/4 [=====================>........] - ETA: 0s - loss: 1.5752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6133 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9586
3/4 [=====================>........] - ETA: 0s - loss: 1.9725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.0559 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4231
3/4 [=====================>........] - ETA: 0s - loss: 1.9528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8413 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6955
3/4 [=====================>........] - ETA: 0s - loss: 1.6309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6790 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9391
3/4 [=====================>........] - ETA: 0s - loss: 2.1514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 2.1749 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9520
3/4 [=====================>........] - ETA: 0s - loss: 1.6545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6759 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9204
3/4 [=====================>........] - ETA: 0s - loss: 1.6806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7561 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8693
3/4 [=====================>........] - ETA: 0s - loss: 1.6425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7171 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4461
3/4 [=====================>........] - ETA: 0s - loss: 1.6309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5849 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4246
3/4 [=====================>........] - 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 23ms/step - loss: 1.7146 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6890
3/4 [=====================>........] - ETA: 0s - loss: 1.7416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7197 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6738
3/4 [=====================>........] - ETA: 0s - loss: 1.7964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8948 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6335
3/4 [=====================>........] - ETA: 0s - loss: 1.7267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7550 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3237
3/4 [=====================>........] - ETA: 0s - loss: 1.4637WARNING: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 23ms/step - loss: 1.5170 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6630
3/4 [=====================>........] - 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 23ms/step - loss: 1.6827 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7137
3/4 [=====================>........] - ETA: 0s - loss: 1.7528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7942 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1425
3/4 [=====================>........] - ETA: 0s - loss: 1.6966WARNING: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 23ms/step - loss: 1.8026 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3325
3/4 [=====================>........] - ETA: 0s - loss: 1.5586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7898 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6052
3/4 [=====================>........] - ETA: 0s - loss: 1.6243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6009 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5508
3/4 [=====================>........] - ETA: 0s - loss: 1.6934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6829 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9576
3/4 [=====================>........] - ETA: 0s - loss: 1.6050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5898 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3564
3/4 [=====================>........] - ETA: 0s - loss: 1.6050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6115 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4871
3/4 [=====================>........] - ETA: 0s - loss: 1.6539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6539 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5430
3/4 [=====================>........] - ETA: 0s - loss: 1.5972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5748 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7736
3/4 [=====================>........] - ETA: 0s - loss: 1.7818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7863 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4058
3/4 [=====================>........] - ETA: 0s - loss: 1.5189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5106 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4477
3/4 [=====================>........] - ETA: 0s - loss: 1.5009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5254 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4318
3/4 [=====================>........] - ETA: 0s - loss: 1.5835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5439 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9793
3/4 [=====================>........] - 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 23ms/step - loss: 1.7694 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6013
3/4 [=====================>........] - ETA: 0s - loss: 1.8138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7455 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6274
3/4 [=====================>........] - ETA: 0s - loss: 1.5527WARNING: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 23ms/step - loss: 1.5902 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6559
3/4 [=====================>........] - ETA: 0s - loss: 1.6051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5800 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1825
3/4 [=====================>........] - ETA: 0s - loss: 1.6103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7444 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3762
3/4 [=====================>........] - ETA: 0s - loss: 1.4762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4828 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5874
3/4 [=====================>........] - ETA: 0s - loss: 1.7361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6798 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4344
3/4 [=====================>........] - ETA: 0s - loss: 1.5586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5671 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3423
3/4 [=====================>........] - ETA: 0s - loss: 1.3898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4817 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3738
3/4 [=====================>........] - ETA: 0s - loss: 1.3869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4760 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3268
3/4 [=====================>........] - ETA: 0s - loss: 1.5022WARNING: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 23ms/step - loss: 1.5627 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8900
3/4 [=====================>........] - ETA: 0s - loss: 1.6384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5771 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5947
3/4 [=====================>........] - ETA: 0s - loss: 1.5455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6038 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9349
3/4 [=====================>........] - ETA: 0s - loss: 1.6551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7240 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4551
3/4 [=====================>........] - ETA: 0s - loss: 1.4829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4609 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4475
3/4 [=====================>........] - ETA: 0s - loss: 1.4898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 24ms/step - loss: 1.4555 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3706
3/4 [=====================>........] - ETA: 0s - loss: 1.5807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5208 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7945
3/4 [=====================>........] - ETA: 0s - loss: 1.6300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6169 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5603
3/4 [=====================>........] - ETA: 0s - loss: 1.5639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5844 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6229
3/4 [=====================>........] - ETA: 0s - loss: 1.6139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6492 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2529
3/4 [=====================>........] - ETA: 0s - loss: 1.3984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4150 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5289
3/4 [=====================>........] - ETA: 0s - loss: 1.6450WARNING: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 23ms/step - loss: 1.6738 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2220
3/4 [=====================>........] - ETA: 0s - loss: 1.3792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3331 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5937
3/4 [=====================>........] - ETA: 0s - loss: 1.5538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5529 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2474
3/4 [=====================>........] - ETA: 0s - loss: 1.4818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4537 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5821
3/4 [=====================>........] - ETA: 0s - loss: 1.4473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4808 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9848
3/4 [=====================>........] - ETA: 0s - loss: 1.7366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6663 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6405
3/4 [=====================>........] - ETA: 0s - loss: 1.6276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5886 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5355
3/4 [=====================>........] - ETA: 0s - loss: 1.6838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7152 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6329
3/4 [=====================>........] - ETA: 0s - loss: 1.7120WARNING: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 23ms/step - loss: 1.6649 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5157
3/4 [=====================>........] - ETA: 0s - loss: 1.3784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4374 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3845
3/4 [=====================>........] - ETA: 0s - loss: 1.4713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4983 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5077
3/4 [=====================>........] - ETA: 0s - loss: 1.5641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5890 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3096
3/4 [=====================>........] - ETA: 0s - loss: 1.4387WARNING: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 23ms/step - loss: 1.5196 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4924
3/4 [=====================>........] - ETA: 0s - loss: 1.8185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7671 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7704
3/4 [=====================>........] - ETA: 0s - loss: 1.7182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7382 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8638
3/4 [=====================>........] - ETA: 0s - loss: 1.5729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5530 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6239
3/4 [=====================>........] - ETA: 0s - loss: 1.7340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6316 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6888
3/4 [=====================>........] - ETA: 0s - loss: 1.7092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6396 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3690
3/4 [=====================>........] - ETA: 0s - loss: 1.7197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7550 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4439
3/4 [=====================>........] - ETA: 0s - loss: 1.4585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4791 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3095
3/4 [=====================>........] - ETA: 0s - loss: 1.4929WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.5054 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5383
3/4 [=====================>........] - ETA: 0s - loss: 1.4551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5105 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7667
3/4 [=====================>........] - ETA: 0s - loss: 1.6497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6188 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8366
3/4 [=====================>........] - ETA: 0s - loss: 1.7764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7432 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1459
3/4 [=====================>........] - ETA: 0s - loss: 1.2054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.3432 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1579
3/4 [=====================>........] - ETA: 0s - loss: 1.4688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4398 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4073
3/4 [=====================>........] - ETA: 0s - loss: 1.3714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4633 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5851
3/4 [=====================>........] - ETA: 0s - loss: 1.6401WARNING: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 23ms/step - loss: 1.6418 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3789
3/4 [=====================>........] - ETA: 0s - loss: 1.4949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5236 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5834
3/4 [=====================>........] - ETA: 0s - loss: 1.5100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4815 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4071
3/4 [=====================>........] - ETA: 0s - loss: 1.5310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4791 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6610
3/4 [=====================>........] - ETA: 0s - loss: 1.7431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7389 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6433
3/4 [=====================>........] - ETA: 0s - loss: 1.5750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6553 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3639
3/4 [=====================>........] - ETA: 0s - loss: 1.4478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.4902 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4654
3/4 [=====================>........] - ETA: 0s - loss: 1.5487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6391 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9690
3/4 [=====================>........] - ETA: 0s - loss: 1.5901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6159 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0034
3/4 [=====================>........] - ETA: 0s - loss: 1.7105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7259 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5115
3/4 [=====================>........] - ETA: 0s - loss: 1.3998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.3588 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7375
3/4 [=====================>........] - ETA: 0s - loss: 1.7957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8130 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7713
3/4 [=====================>........] - ETA: 0s - loss: 1.7181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6810 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4358
3/4 [=====================>........] - ETA: 0s - loss: 1.6942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6152 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9728
3/4 [=====================>........] - ETA: 0s - loss: 1.6338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6198 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1368
3/4 [=====================>........] - ETA: 0s - loss: 1.3939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4768 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8830
3/4 [=====================>........] - ETA: 0s - loss: 1.9895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8738 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7589
3/4 [=====================>........] - ETA: 0s - loss: 1.6458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6560 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5894
3/4 [=====================>........] - ETA: 0s - loss: 1.7126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7321 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3099
3/4 [=====================>........] - ETA: 0s - loss: 1.5514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5200 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6435
3/4 [=====================>........] - ETA: 0s - loss: 1.5551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.6334 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7554
3/4 [=====================>........] - ETA: 0s - loss: 1.7127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6818 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5975
3/4 [=====================>........] - ETA: 0s - loss: 1.6452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7434 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8734
3/4 [=====================>........] - ETA: 0s - loss: 1.7863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.8662 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4246
3/4 [=====================>........] - ETA: 0s - loss: 1.5303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5839 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6241
3/4 [=====================>........] - ETA: 0s - loss: 1.3968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.3853 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5914
3/4 [=====================>........] - ETA: 0s - loss: 1.4540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.4915 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0369
3/4 [=====================>........] - ETA: 0s - loss: 1.8984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.8407 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6884
3/4 [=====================>........] - ETA: 0s - loss: 1.6392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 23ms/step - loss: 1.7196 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7308
3/4 [=====================>........] - ETA: 0s - loss: 2.0186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.9963 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3405
3/4 [=====================>........] - ETA: 0s - loss: 1.3654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.3480 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5174
3/4 [=====================>........] - ETA: 0s - loss: 1.5156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.5533 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1809
3/4 [=====================>........] - ETA: 0s - loss: 1.6220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.6165 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5615
3/4 [=====================>........] - ETA: 0s - loss: 1.6986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is 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: 1.7415 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 5, 'kernel_size1': 3, 'kernel_size2': 1, 'kernel_size3': 3, 'pool_size0': 1, 'pool_size1': 2, 'pool_size2': 4, 'pool_size3': 2, 'stride_size0': 1, 'stride_size1': 1, 'stride_size2': 4, 'stride_size3': 2, 'dropout0': 0.1, 'dropout1': 0.1, 'dropout2': 0.4, 'dropout3': 0.0}
1/39 [..............................] - ETA: 14s
9/39 [=====>........................] - ETA: 0s
17/39 [============>.................] - ETA: 0s
25/39 [==================>...........] - ETA: 0s
33/39 [========================>.....] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 9ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
499 Pilot02 1 cnn1d ... -2.592524 -0.050324 0.075780
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
[504 rows x 18 columns]
imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (115, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
32 |128 |filter_unit2
32 |32 |filter_unit3
256 |None |filter_unit4
3 |1 |kernel_size0
3 |2 |kernel_size1
5 |1 |kernel_size2
5 |4 |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
3 |1 |pool_size1
4 |1 |pool_size2
1 |2 |pool_size3
1 |None |pool_size4
1 |4 |stride_size0
5 |3 |stride_size1
1 |2 |stride_size2
1 |1 |stride_size3
5 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |0.2 |dropout1
0 |0 |dropout2
0.4 |0.3 |dropout3
0.4 |None |dropout4
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.37
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.38
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.39
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.40
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.41
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.42
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.43
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.44
[2K
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Trial 4 Complete [00h 00m 06s]
val_loss: 19.77191925048828
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 06s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
4 |1 |kernel_size0
3 |1 |pool_size0
1 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 02s]
val_loss: 21.095422744750977
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 08s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |64 |filter_unit0
64 |128 |filter_unit1
32 |128 |filter_unit2
32 |32 |filter_unit3
128 |None |filter_unit4
5 |1 |kernel_size0
2 |2 |kernel_size1
4 |1 |kernel_size2
1 |4 |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
5 |1 |pool_size1
4 |1 |pool_size2
4 |2 |pool_size3
3 |None |pool_size4
3 |4 |stride_size0
3 |3 |stride_size1
5 |2 |stride_size2
4 |1 |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.4 |0.2 |dropout1
0.2 |0 |dropout2
0.3 |0.3 |dropout3
0 |None |dropout4
[2K
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Trial 6 Complete [00h 00m 06s]
val_loss: 19.697986602783203
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 14s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
64 |128 |filter_unit2
4 |1 |kernel_size0
4 |2 |kernel_size1
1 |1 |kernel_size2
4 |1 |pool_size0
1 |1 |pool_size1
1 |1 |pool_size2
2 |4 |stride_size0
5 |3 |stride_size1
4 |2 |stride_size2
0.2 |0.2 |dropout0
0.4 |0.2 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 19.274250030517578
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 18s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
128 |128 |filter_unit2
5 |1 |kernel_size0
5 |2 |kernel_size1
1 |1 |kernel_size2
2 |1 |pool_size0
2 |1 |pool_size1
1 |1 |pool_size2
1 |4 |stride_size0
2 |3 |stride_size1
5 |2 |stride_size2
0 |0.2 |dropout0
0.3 |0.2 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.52440071105957
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 24s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
256 |128 |filter_unit2
1 |1 |kernel_size0
5 |2 |kernel_size1
3 |1 |kernel_size2
5 |1 |pool_size0
4 |1 |pool_size1
1 |1 |pool_size2
4 |4 |stride_size0
1 |3 |stride_size1
5 |2 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.2 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 19.862184524536133
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 28s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
64 |128 |filter_unit2
32 |32 |filter_unit3
256 |None |filter_unit4
2 |1 |kernel_size0
3 |2 |kernel_size1
5 |1 |kernel_size2
4 |4 |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
2 |1 |pool_size1
5 |1 |pool_size2
5 |2 |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
5 |3 |stride_size1
3 |2 |stride_size2
4 |1 |stride_size3
5 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.3 |dropout3
0.1 |None |dropout4
2023-11-24 12:57:43.778226: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:289 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.index; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__MergeV2Checkpoints_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0/bayesianoptimization/trial_09/checkpoint_temp/part-00000-of-00001.index; No such file or directory [Op:MergeV2Checkpoints]
[2K
[2K
Trial 10 Complete [00h 00m 06s]
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 34s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
1 |1 |kernel_size0
3 |1 |pool_size0
4 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 02s]
val_loss: 19.317134857177734
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 36s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
256 |64 |filter_unit0
128 |128 |filter_unit1
256 |128 |filter_unit2
4 |1 |kernel_size0
5 |2 |kernel_size1
2 |1 |kernel_size2
1 |1 |pool_size0
3 |1 |pool_size1
5 |1 |pool_size2
1 |4 |stride_size0
3 |3 |stride_size1
3 |2 |stride_size2
0.2 |0.2 |dropout0
0.2 |0.2 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 20.02587890625
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 41s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |64 |filter_unit0
64 |128 |filter_unit1
128 |128 |filter_unit2
256 |32 |filter_unit3
2 |1 |kernel_size0
2 |2 |kernel_size1
3 |1 |kernel_size2
2 |4 |kernel_size3
3 |1 |pool_size0
2 |1 |pool_size1
1 |1 |pool_size2
3 |2 |pool_size3
4 |4 |stride_size0
2 |3 |stride_size1
5 |2 |stride_size2
1 |1 |stride_size3
0.4 |0.2 |dropout0
0.3 |0.2 |dropout1
0.3 |0 |dropout2
0 |0.3 |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.91391372680664
Best val_loss So Far: 19.211811065673828
Total elapsed time: 00h 00m 46s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
64 |32 |filter_unit3
64 |None |filter_unit4
5 |1 |kernel_size0
5 |2 |kernel_size1
4 |1 |kernel_size2
1 |4 |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
2 |1 |pool_size1
3 |1 |pool_size2
3 |2 |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
1 |3 |stride_size1
2 |2 |stride_size2
1 |1 |stride_size3
3 |None |stride_size4
0.3 |0.2 |dropout0
0.2 |0.2 |dropout1
0.2 |0 |dropout2
0.2 |0.3 |dropout3
0.1 |None |dropout4
[2K
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Trial 14 Complete [00h 00m 07s]
val_loss: 19.19828224182129
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 00m 53s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
256 |128 |filter_unit0
128 |128 |filter_unit1
4 |5 |kernel_size0
2 |5 |kernel_size1
4 |2 |pool_size0
4 |2 |pool_size1
2 |2 |stride_size0
5 |1 |stride_size1
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 20.767078399658203
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 00m 57s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |128 |filter_unit0
4 |5 |kernel_size0
4 |2 |pool_size0
2 |2 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.740924835205078
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 00m 59s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |128 |filter_unit0
32 |128 |filter_unit1
256 |128 |filter_unit2
32 |64 |filter_unit3
1 |5 |kernel_size0
1 |5 |kernel_size1
5 |4 |kernel_size2
2 |1 |kernel_size3
1 |2 |pool_size0
4 |2 |pool_size1
3 |3 |pool_size2
3 |3 |pool_size3
4 |2 |stride_size0
4 |1 |stride_size1
1 |2 |stride_size2
4 |1 |stride_size3
0.4 |0.3 |dropout0
0.1 |0.2 |dropout1
0.1 |0.2 |dropout2
0.1 |0.2 |dropout3
2023-11-24 12:58:13.975060: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at save_restore_v2_ops.cc:112 : NOT_FOUND: /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0/bayesianoptimization/trial_16/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate1120938976107191403; No such file or directory
Traceback (most recent call last):
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 270, in _try_run_and_update_trial
self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/base_tuner.py", line 235, in _run_and_update_trial
results = self.run_trial(trial, *fit_args, **fit_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 314, in run_trial
obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner.py", line 233, in _build_and_fit_model
results = self.hypermodel.fit(hp, model, *args, **kwargs)
File "/home/rqchia/projects/aria-respiration-cal/models/neuralnet.py", line 178, in fit
history = model.fit(x, y,
File "/home/rqchia/.local/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 172, in on_epoch_end
self._save_model()
File "/home/rqchia/.local/lib/python3.8/site-packages/keras_tuner/src/engine/tuner_utils.py", line 182, in _save_model
self.model.save_weights(write_filepath)
tensorflow.python.framework.errors_impl.NotFoundError: {{function_node __wrapped__SaveV2_dtypes_65_device_/job:localhost/replica:0/task:0/device:CPU:0}} /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0/bayesianoptimization/trial_16/checkpoint_temp/part-00000-of-00001.data-00000-of-00001.tempstate1120938976107191403; No such file or directory [Op:SaveV2]
[2K
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Trial 17 Complete [00h 00m 05s]
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 01m 04s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |128 |filter_unit0
64 |128 |filter_unit1
128 |128 |filter_unit2
1 |5 |kernel_size0
1 |5 |kernel_size1
3 |4 |kernel_size2
4 |2 |pool_size0
3 |2 |pool_size1
3 |3 |pool_size2
4 |2 |stride_size0
5 |1 |stride_size1
2 |2 |stride_size2
0.4 |0.3 |dropout0
0.3 |0.2 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 19.767444610595703
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 01m 08s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
4 |5 |kernel_size0
4 |5 |kernel_size1
2 |2 |pool_size0
4 |2 |pool_size1
3 |2 |stride_size0
4 |1 |stride_size1
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.675037384033203
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 01m 11s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |128 |filter_unit0
256 |128 |filter_unit1
256 |128 |filter_unit2
32 |64 |filter_unit3
1 |5 |kernel_size0
3 |5 |kernel_size1
5 |4 |kernel_size2
1 |1 |kernel_size3
3 |2 |pool_size0
1 |2 |pool_size1
4 |3 |pool_size2
2 |3 |pool_size3
4 |2 |stride_size0
2 |1 |stride_size1
3 |2 |stride_size2
5 |1 |stride_size3
0.1 |0.3 |dropout0
0.4 |0.2 |dropout1
0.1 |0.2 |dropout2
0.2 |0.2 |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.29869270324707
Best val_loss So Far: 19.19828224182129
Total elapsed time: 00h 01m 17s
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 128, 'filter_unit3': 64, 'filter_unit4': 64, 'kernel_size0': 5, 'kernel_size1': 5, 'kernel_size2': 4, 'kernel_size3': 1, 'kernel_size4': 3, 'pool_size0': 2, 'pool_size1': 2, 'pool_size2': 3, 'pool_size3': 3, 'pool_size4': 3, 'stride_size0': 2, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 1, 'stride_size4': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.2, 'dropout3': 0.2, 'dropout4': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 12s - loss: 4.4893
4/4 [==============================] - ETA: 0s - loss: 5.3885 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 61ms/step - loss: 5.3885 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 5.2181 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.8088 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.6569 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.9358 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.9089 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.1261 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 4.0655 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.5655 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.7169 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.6747 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1949WARNING: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 14ms/step - loss: 3.4488 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.3250 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.2470 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.3832 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.4787 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.3709 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1442 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1349 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 3.1214 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.9987 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.9932 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.9398 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.9008 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8200 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4911 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5912 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8757 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5618 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.8280 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.5600 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5335WARNING: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 14ms/step - loss: 2.6309 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6325 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4597 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.4872 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1949WARNING: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 14ms/step - loss: 2.4243 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6228 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6549 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1567 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3621 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3693 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.6291 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3661 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2703 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1951 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1868 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0487 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3647 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2542 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1401 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2207 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2448 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2624 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1962 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2100 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9841 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.3703 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.2972 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7971 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0940 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0212 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0399 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8295 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0748 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8434 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0386 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7348WARNING: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 14ms/step - loss: 1.8855 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9556 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8726 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9786 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7287WARNING: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 14ms/step - loss: 1.9138 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9648 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9532 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0313 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1304 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0312 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7154 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1333 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.1680 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0577 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8285 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8422 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8943 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8765 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7480 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8363 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7441 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6081 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7947 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6843 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9151 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6754 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 2.0781 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7809 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8165 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8062 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7556 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6098WARNING: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 14ms/step - loss: 1.8154 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7471 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7980 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7102 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6533 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8385 - lr: 7.4082e-05
Epoch 104/200
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 14ms/step - loss: 1.7154 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3224WARNING: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 14ms/step - loss: 1.4884 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7711 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7858 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6638 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7777 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6351 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7738 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8498 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7926 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6267 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5455 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6733 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7847 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8584 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5457WARNING: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 14ms/step - loss: 1.7474 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5176 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6776 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5181 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6227 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6941 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5358 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7649 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5829 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7361 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.4637 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6327 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5407WARNING: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 14ms/step - loss: 1.6273 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5945 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6974 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5670 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.4822 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6252 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6490 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.4923 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7059 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5940WARNING: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 14ms/step - loss: 1.6087 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6524 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7625 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6900 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6100 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6324 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7840 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7188 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5159 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6396WARNING: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 14ms/step - loss: 1.6398 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6472 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.4753 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.9279 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6559 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6707 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5342WARNING: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 14ms/step - loss: 1.5796 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7853WARNING: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 14ms/step - loss: 1.6644 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5641 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7182 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7963 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6545 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5196 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8615 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5492 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.8479 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6391 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7036 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6722 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6212 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7250 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6211 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7423 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6456 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7460 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6350 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6867 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7915 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5584 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5476 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7857 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5751 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6951 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6460 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5386 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7555 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7712 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6594 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6093 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7139 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5655WARNING: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 14ms/step - loss: 1.6830 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7216 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7885 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6944 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6264 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5063 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7591 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.5784 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.7514 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6157 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6714WARNING: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 14ms/step - loss: 1.6367 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.6090 - lr: 4.5400e-09
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 128, 'filter_unit3': 64, 'filter_unit4': 64, 'kernel_size0': 5, 'kernel_size1': 5, 'kernel_size2': 4, 'kernel_size3': 1, 'kernel_size4': 3, 'pool_size0': 2, 'pool_size1': 2, 'pool_size2': 3, 'pool_size3': 3, 'pool_size4': 3, 'stride_size0': 2, 'stride_size1': 1, 'stride_size2': 2, 'stride_size3': 1, 'stride_size4': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.2, 'dropout3': 0.2, 'dropout4': 0.1}
1/39 [..............................] - ETA: 16s
14/39 [=========>....................] - ETA: 0s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 6ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
500 Pilot02 1 cnn1d ... -7.561170 0.056566 0.045903
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
504 Pilot02 1 cnn1d ... -5.412443 0.035727 0.207583
[505 rows x 18 columns]
imu_rr_Pilot02_id1_combi10.0-12.0-15.0-17.0-20.0
train
(35920, 10)
test
(364536, 9)
---CNN1D---
input shape: (1440, 6)
x shape: (120, 1440, 6)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot02/imu_rr/01/cnn1d_imu_rr_Pilot02_id1_combi10.0-12.0-15.0-17.0-20.0/bayesianoptimization/tuner0.json
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
256 |256 |filter_unit3
32 |None |filter_unit4
2 |1 |kernel_size0
5 |5 |kernel_size1
1 |4 |kernel_size2
4 |2 |kernel_size3
3 |None |kernel_size4
1 |5 |pool_size0
5 |4 |pool_size1
3 |4 |pool_size2
1 |2 |pool_size3
1 |None |pool_size4
1 |3 |stride_size0
1 |5 |stride_size1
3 |4 |stride_size2
1 |4 |stride_size3
5 |None |stride_size4
0.3 |0.1 |dropout0
0.2 |0.2 |dropout1
0.4 |0.2 |dropout2
0.3 |0.4 |dropout3
0.4 |None |dropout4
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_end` time: 0.0279s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0060s vs `on_train_batch_end` time: 0.0279s). Check your callbacks.
[2K
[2K
Trial 2 Complete [00h 00m 07s]
val_loss: 19.81899070739746
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
64 |64 |filter_unit0
2 |1 |kernel_size0
4 |5 |pool_size0
1 |3 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 02s]
val_loss: 20.28610610961914
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 09s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
2 |1 |kernel_size0
2 |5 |kernel_size1
1 |5 |pool_size0
5 |4 |pool_size1
3 |3 |stride_size0
1 |5 |stride_size1
0 |0.1 |dropout0
0.3 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0034s vs `on_train_batch_end` time: 0.0078s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0034s vs `on_train_batch_end` time: 0.0078s). Check your callbacks.
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.71702766418457
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 13s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |64 |filter_unit0
32 |64 |filter_unit1
3 |1 |kernel_size0
4 |5 |kernel_size1
1 |5 |pool_size0
2 |4 |pool_size1
2 |3 |stride_size0
2 |5 |stride_size1
0.3 |0.1 |dropout0
0.1 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0074s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0031s vs `on_train_batch_end` time: 0.0074s). Check your callbacks.
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.323331832885742
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 16s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
32 |256 |filter_unit2
128 |256 |filter_unit3
5 |1 |kernel_size0
5 |5 |kernel_size1
1 |4 |kernel_size2
3 |2 |kernel_size3
3 |5 |pool_size0
1 |4 |pool_size1
4 |4 |pool_size2
2 |2 |pool_size3
5 |3 |stride_size0
4 |5 |stride_size1
3 |4 |stride_size2
2 |4 |stride_size3
0.4 |0.1 |dropout0
0.2 |0.2 |dropout1
0.2 |0.2 |dropout2
0.3 |0.4 |dropout3
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0063s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0063s). Check your callbacks.
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 19.75602912902832
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |64 |filter_unit0
32 |64 |filter_unit1
256 |256 |filter_unit2
32 |256 |filter_unit3
128 |None |filter_unit4
2 |1 |kernel_size0
5 |5 |kernel_size1
4 |4 |kernel_size2
3 |2 |kernel_size3
1 |None |kernel_size4
2 |5 |pool_size0
1 |4 |pool_size1
1 |4 |pool_size2
1 |2 |pool_size3
4 |None |pool_size4
4 |3 |stride_size0
4 |5 |stride_size1
1 |4 |stride_size2
2 |4 |stride_size3
1 |None |stride_size4
0.1 |0.1 |dropout0
0.1 |0.2 |dropout1
0.4 |0.2 |dropout2
0.3 |0.4 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.75226402282715
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |64 |filter_unit0
256 |64 |filter_unit1
3 |1 |kernel_size0
1 |5 |kernel_size1
2 |5 |pool_size0
5 |4 |pool_size1
1 |3 |stride_size0
1 |5 |stride_size1
0.4 |0.1 |dropout0
0.4 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0093s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0093s). Check your callbacks.
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.336071014404297
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |64 |filter_unit0
256 |64 |filter_unit1
5 |1 |kernel_size0
2 |5 |kernel_size1
2 |5 |pool_size0
2 |4 |pool_size1
5 |3 |stride_size0
1 |5 |stride_size1
0.4 |0.1 |dropout0
0.4 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0041s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0041s). Check your callbacks.
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.3895206451416
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 34s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |64 |filter_unit0
64 |64 |filter_unit1
64 |256 |filter_unit2
4 |1 |kernel_size0
1 |5 |kernel_size1
1 |4 |kernel_size2
2 |5 |pool_size0
5 |4 |pool_size1
5 |4 |pool_size2
3 |3 |stride_size0
4 |5 |stride_size1
2 |4 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.2 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 20.160547256469727
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 39s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
128 |256 |filter_unit2
1 |1 |kernel_size0
2 |5 |kernel_size1
5 |4 |kernel_size2
4 |5 |pool_size0
2 |4 |pool_size1
4 |4 |pool_size2
1 |3 |stride_size0
4 |5 |stride_size1
1 |4 |stride_size2
0 |0.1 |dropout0
0 |0.2 |dropout1
0.3 |0.2 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.305030822753906
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 42s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |64 |filter_unit0
128 |64 |filter_unit1
4 |1 |kernel_size0
4 |5 |kernel_size1
3 |5 |pool_size0
2 |4 |pool_size1
4 |3 |stride_size0
2 |5 |stride_size1
0 |0.1 |dropout0
0.3 |0.2 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0035s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0035s). Check your callbacks.
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.875455856323242
Best val_loss So Far: 19.30328941345215
Total elapsed time: 00h 00m 45s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |64 |filter_unit0
256 |64 |filter_unit1
64 |256 |filter_unit2
1 |1 |kernel_size0
4 |5 |kernel_size1
3 |4 |kernel_size2
3 |5 |pool_size0
4 |4 |pool_size1
3 |4 |pool_size2
5 |3 |stride_size0
1 |5 |stride_size1
2 |4 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.2 |dropout1
0.1 |0.2 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.221660614013672
Best val_loss So Far: 19.221660614013672
Total elapsed time: 00h 00m 49s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |256 |filter_unit1
1 |1 |kernel_size0
1 |4 |kernel_size1
3 |3 |pool_size0
2 |4 |pool_size1
4 |5 |stride_size0
3 |1 |stride_size1
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 20.284835815429688
Best val_loss So Far: 19.221660614013672
Total elapsed time: 00h 00m 52s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
128 |256 |filter_unit1
64 |64 |filter_unit2
4 |1 |kernel_size0
3 |4 |kernel_size1
4 |3 |kernel_size2
2 |3 |pool_size0
1 |4 |pool_size1
3 |3 |pool_size2
3 |5 |stride_size0
1 |1 |stride_size1
2 |2 |stride_size2
0.3 |0.2 |dropout0
0.2 |0.4 |dropout1
0.2 |0.1 |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.502363204956055
Best val_loss So Far: 19.221660614013672
Total elapsed time: 00h 00m 57s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
1 |1 |kernel_size0
1 |3 |pool_size0
1 |5 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.372217178344727
Best val_loss So Far: 19.221660614013672
Total elapsed time: 00h 00m 59s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
128 |256 |filter_unit1
64 |64 |filter_unit2
128 |None |filter_unit3
2 |1 |kernel_size0
4 |4 |kernel_size1
5 |3 |kernel_size2
3 |None |kernel_size3
4 |3 |pool_size0
3 |4 |pool_size1
1 |3 |pool_size2
3 |None |pool_size3
3 |5 |stride_size0
3 |1 |stride_size1
4 |2 |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0 |0.4 |dropout1
0 |0.1 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.715097427368164
Best val_loss So Far: 19.221660614013672
Total elapsed time: 00h 01m 05s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |256 |filter_unit1
3 |1 |kernel_size0
4 |4 |kernel_size1
1 |3 |pool_size0
5 |4 |pool_size1
1 |5 |stride_size0
1 |1 |stride_size1
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 18.64784812927246
Best val_loss So Far: 18.64784812927246
Total elapsed time: 00h 01m 08s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
5 |3 |kernel_size0
5 |4 |kernel_size1
5 |1 |pool_size0
3 |5 |pool_size1
3 |1 |stride_size0
3 |1 |stride_size1
0.1 |0.4 |dropout0
0 |0.3 |dropout1
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0030s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.05475425720215
Best val_loss So Far: 18.64784812927246
Total elapsed time: 00h 01m 11s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |32 |filter_unit0
32 |32 |filter_unit1
256 |None |filter_unit2
5 |3 |kernel_size0
4 |4 |kernel_size1
4 |None |kernel_size2
1 |1 |pool_size0
3 |5 |pool_size1
4 |None |pool_size2
4 |1 |stride_size0
1 |1 |stride_size1
5 |None |stride_size2
0.4 |0.4 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0076s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0076s). Check your callbacks.
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.4523983001709
Best val_loss So Far: 18.64784812927246
Total elapsed time: 00h 01m 15s
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 32, 'kernel_size0': 3, 'kernel_size1': 4, 'pool_size0': 1, 'pool_size1': 5, 'stride_size0': 1, 'stride_size1': 1, 'dropout0': 0.4, 'dropout1': 0.30000000000000004}
1/39 [..............................] - ETA: 8s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
504 Pilot02 1 cnn1d ... -5.412443 0.035727 0.207583
505 Pilot02 1 cnn1d ... -7.921437 -0.069339 0.014363
[506 rows x 18 columns]
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow: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
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-2.kernel
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-2.kernel
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).layer_with_weights-2.bias
Value in checkpoint could not be found in the restored object: (root).layer_with_weights-2.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