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Group: roberta_fulltraining_fnc1

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2023-02-20 03:48:48

warnings.warn("y_pred contains classes not in y_true")

2023-02-20 03:48:49

Testing: [ 0/63] eta: 0:00:48 loss: 0.1424 (0.1424) batch_acc: 96.2500 (96.2500) batch_f1: 0.7071 (0.7071) batch_acc_balanced: 0.9268 (0.9268) time: 0.7656 data: 0.0417 max mem: 15573

2023-02-20 03:49:07

Testing: [25/63] eta: 0:00:28 loss: 0.0554 (0.0593) batch_acc: 98.7500 (98.7500) batch_f1: 0.9712 (0.9346) batch_acc_balanced: 0.9808 (0.9446) time: 0.7415 data: 0.0213 max mem: 15573

2023-02-20 03:49:16

/mnt/stud/home/mwirth/.conda/envs/uncertainty_evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1999: UserWarning: y_pred contains classes not in y_true

2023-02-20 03:49:16

warnings.warn("y_pred contains classes not in y_true")

2023-02-20 03:49:25

Testing: [50/63] eta: 0:00:09 loss: 0.0073 (0.0519) batch_acc: 100.0000 (98.9951) batch_f1: 1.0000 (0.9534) batch_acc_balanced: 1.0000 (0.9639) time: 0.7418 data: 0.0212 max mem: 15573

2023-02-20 03:49:33

Testing: Total time: 0:00:46

2023-02-20 03:49:33

Epoch [0]: Test Loss: 0.0486, Test Accuracy: 99.0196

2023-02-20 03:49:33

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2023-02-20 03:49:33

[2023-02-20 04:49:33,328][root][INFO] - Evaluation took 0.77 minutes

2023-02-20 03:49:33

[2023-02-20 04:49:33,329][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.04864222484840346, 'test_batch_acc_epoch': 99.01960784313725, 'test_batch_f1_epoch': 0.9515012833538752, 'test_batch_acc_balanced_epoch': 0.9611329222274168}

2023-02-20 03:49:33

[2023-02-20 04:49:33,334][root][INFO] - Saving checkpoint for cycle 4

2023-02-20 03:49:33

[2023-02-20 04:49:33,434][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/fulltraining/seed5/results.json

2023-02-20 03:49:33

Saving results to /mnt/work/glae/glae-results/fnc1/roberta/fulltraining/seed5/results.json.

2023-02-20 03:49:35

[2023-02-20 04:49:33,624][root][INFO] - Experiment took 112.62 minutes