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Group: distilbert_fulltraining_fnc1

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2023-02-19 22:25:48

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

2023-02-19 22:25:52

/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

2023-02-19 22:25:52

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

2023-02-19 22:25:57

Testing: [50/63] eta: 0:00:05 loss: 0.0459 (0.0642) batch_acc: 98.7500 (98.4069) batch_f1: 0.9357 (0.8958) batch_acc_balanced: 0.9583 (0.9249) time: 0.3909 data: 0.0211 max mem: 7948

2023-02-19 22:26:00

/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

2023-02-19 22:26:00

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

2023-02-19 22:26:01

Testing: Total time: 0:00:24

2023-02-19 22:26:01

Epoch [0]: Test Loss: 0.0626, Test Accuracy: 98.4394

2023-02-19 22:26:01

--------------------------------------------------------------------------------

2023-02-19 22:26:01

[2023-02-19 23:26:00,677][root][INFO] - Evaluation took 0.41 minutes

2023-02-19 22:26:01

[2023-02-19 23:26:00,677][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.06260685175994507, 'test_batch_acc_epoch': 98.43937572892926, 'test_batch_f1_epoch': 0.8951558234774314, 'test_batch_acc_balanced_epoch': 0.9223406078050428}

2023-02-19 22:26:01

[2023-02-19 23:26:00,679][root][INFO] - Saving checkpoint for cycle 4

2023-02-19 22:26:01

[2023-02-19 23:26:00,776][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/fulltraining/seed5/results.json

2023-02-19 22:26:01

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

2023-02-19 22:26:03

[2023-02-19 23:26:00,899][root][INFO] - Experiment took 58.42 minutes