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Group: roberta_entropy_fnc1

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2023-01-19 13:30:41

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

2023-01-19 13:30:43

/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

2023-01-19 13:30:43

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

2023-01-19 13:30:45

Testing: [25/63] eta: 0:00:20 loss: 0.1743 (0.1900) batch_acc: 93.7500 (94.5673) batch_f1: 0.6830 (0.7360) batch_acc_balanced: 0.7489 (0.7561) time: 0.5459 data: 0.0294 max mem: 15573

2023-01-19 13:30:59

Testing: [50/63] eta: 0:00:07 loss: 0.1540 (0.1871) batch_acc: 93.7500 (94.5098) batch_f1: 0.7689 (0.7489) batch_acc_balanced: 0.7619 (0.7641) time: 0.5455 data: 0.0291 max mem: 15573

2023-01-19 13:31:05

Testing: Total time: 0:00:34

2023-01-19 13:31:05

Epoch [4]: Test Loss: 0.1815, Test Accuracy: 94.7179

2023-01-19 13:31:05

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2023-01-19 13:31:05

[2023-01-19 14:31:03,556][root][INFO] - Evaluation took 0.57 minutes

2023-01-19 13:31:05

[2023-01-19 14:31:03,585][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.18153077978936452, 'test_batch_acc_epoch': 94.71788713349109, 'test_batch_f1_epoch': 0.7550092422157227, 'test_batch_acc_balanced_epoch': 0.7680090113868214}

2023-01-19 13:31:05

[2023-01-19 14:31:03,587][root][INFO] - Saving checkpoint for cycle 15

2023-01-19 13:31:13

[2023-01-19 14:31:11,736][root][INFO] - Saving results to /mnt/work/lrauch/glae-results/fnc1/roberta/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json

2023-01-19 13:31:13

Saving results to /mnt/work/lrauch/glae-results/fnc1/roberta/uncertainty/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.

2023-01-19 13:31:13

[2023-01-19 14:31:12,158][root][INFO] - Experiment took 55.11 minutes