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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
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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
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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