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1/4 [======>.......................] - ETA: 0s - loss: 6.9398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3587 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3043 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3392 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0889WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3175 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3586 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3741 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1969 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3221 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3847 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3929 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3123 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4045 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3819 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4247 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3351 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3350 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2727 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3933 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3435 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2827 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3575 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3160 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3912 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2724 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4031 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3812 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3069 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4527 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4272 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3629 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3518 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3890 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3256 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4248 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3592 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3408 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3595 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3726 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3497 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 1, 'stride_size0': 1, 'dropout0': 0.2}
1/39 [..............................] - ETA: 5s
37/39 [===========================>..] - ETA: 0s
39/39 [==============================] - 0s 1ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
501 Pilot02 1 cnn1d ... -6.182314 0.005354 0.850251
502 Pilot02 1 cnn1d ... -9.302163 -0.014896 0.599378
503 Pilot02 1 cnn1d ... -12.236292 -0.033048 0.243741
504 Pilot02 1 cnn1d ... -5.412443 0.035727 0.207583
505 Pilot02 1 cnn1d ... -7.921437 -0.069339 0.014363
[506 rows x 18 columns]
Namespace(data_input='imu', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12