dal-nlp

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Group: bert_badge_fnc1

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2023-01-22 03:50:21

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

2023-01-22 03:50:33

/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true

2023-01-22 03:50:33

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

2023-01-22 03:50:39

Testing: [50/63] eta: 0:00:09 loss: 0.2178 (0.2664) batch_acc: 92.5000 (91.9118) batch_f1: 0.6906 (0.6975) batch_acc_balanced: 0.6970 (0.7130) time: 0.7478 data: 0.0232 max mem: 15583

2023-01-22 03:50:41

/mnt/work/lrauch/miniconda3/envs/uncertainty-evaluation/lib/python3.9/site-packages/sklearn/metrics/_classification.py:2184: UserWarning: y_pred contains classes not in y_true

2023-01-22 03:50:41

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

2023-01-22 03:50:49

Testing: Total time: 0:00:46

2023-01-22 03:50:49

Epoch [4]: Test Loss: 0.2572, Test Accuracy: 92.1168

2023-01-22 03:50:49

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

2023-01-22 03:50:49

[2023-01-22 04:50:47,375][root][INFO] - Evaluation took 0.78 minutes

2023-01-22 03:50:49

[2023-01-22 04:50:47,376][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.2571554707865866, 'test_batch_acc_epoch': 92.11684671732462, 'test_batch_f1_epoch': 0.7048022068195214, 'test_batch_acc_balanced_epoch': 0.7201920537720392}

2023-01-22 03:50:49

[2023-01-22 04:50:47,377][root][INFO] - Saving checkpoint for cycle 15

2023-01-22 03:50:53

[2023-01-22 04:50:52,168][root][INFO] - Saving results to /mnt/work/lrauch/glae-results/fnc1/bert/badge/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json

2023-01-22 03:50:53

Saving results to /mnt/work/lrauch/glae-results/fnc1/bert/badge/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.

2023-01-22 03:50:53

[2023-01-22 04:50:52,594][root][INFO] - Experiment took 73.57 minutes