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2023-02-06 11:36:44
[2023-02-06 12:36:42,574][root][INFO] - Evaluation with 4998 sample
2023-02-06 11:36:44
Testing: [ 0/63] eta: 0:00:47 loss: 0.2443 (0.2443) batch_acc: 91.2500 (91.2500) batch_f1: 0.8027 (0.8027) batch_acc_balanced: 0.8060 (0.8060) time: 0.7472 data: 0.0269 max mem: 15573
2023-02-06 11:36:46
/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
2023-02-06 11:37:02
Testing: [25/63] eta: 0:00:28 loss: 0.1801 (0.1978) batch_acc: 93.7500 (94.0865) batch_f1: 0.7080 (0.7388) batch_acc_balanced: 0.7143 (0.7433) time: 0.7413 data: 0.0211 max mem: 15573
2023-02-06 11:37:22
Testing: [50/63] eta: 0:00:09 loss: 0.1739 (0.1895) batch_acc: 95.0000 (94.4363) batch_f1: 0.7331 (0.7468) batch_acc_balanced: 0.7707 (0.7458) time: 0.7409 data: 0.0209 max mem: 15573
2023-02-06 11:37:30
Testing: Total time: 0:00:46
2023-02-06 11:37:30
Epoch [4]: Test Loss: 0.1837,         Test Accuracy: 94.5978
2023-02-06 11:37:30
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2023-02-06 11:37:30
[2023-02-06 12:37:28,916][root][INFO] - Evaluation took 0.77 minutes
2023-02-06 11:37:30
[2023-02-06 12:37:28,917][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.18365083250498015, 'test_batch_acc_epoch': 94.5978391142834, 'test_batch_f1_epoch': 0.7531431046271678, 'test_batch_acc_balanced_epoch': 0.7511715104294688}
2023-02-06 11:37:30
[2023-02-06 12:37:28,918][root][INFO] - Saving checkpoint for cycle 60
2023-02-06 11:37:36
[2023-02-06 12:37:35,803][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json
2023-02-06 11:37:36
Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json.
2023-02-06 11:37:38
[2023-02-06 12:37:36,984][root][INFO] - Experiment took 279.52 minutes