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2023-03-28 18:27:03
[2023-03-28 20:27:01,436][root][INFO] - Training stats: {'train_lr_epoch': 1.7324561403508773e-06, 'train_loss_epoch': 0.018283398041967304, 'train_batch_acc_epoch': 99.5, 'train_batch_f1_macro_epoch': 98.56415806415808, 'train_batch_f1_micro_epoch': 99.5, 'train_batch_acc_balanced_epoch': 98.86979166666666}
2023-03-28 18:27:03
> Evaluation.
2023-03-28 18:27:03
[2023-03-28 20:27:01,436][root][INFO] - Evaluation with 4998 sample
2023-03-28 18:27:47
Epoch [14]: Test Loss: 0.2908,         Test Accuracy: 94.7979,         Test acc_blc: 74.8703
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[2023-03-28 20:27:46,601][root][INFO] - Evaluation took 0.75 minutes
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[2023-03-28 20:27:46,602][root][INFO] - Evaluation stats: {'test_acc': 94.79792022705078, 'test_f1_macro': 75.33360482985417, 'test_f1_micro': 94.79791916766706, 'test_acc_blc': 74.87034929872522, 'test_loss': 0.29084014892578125}
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[2023-03-28 20:27:46,605][root][INFO] - Saving checkpoint for cycle 15
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[2023-03-28 20:27:46,894][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15ep/sub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
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Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15ep/sub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-03-28 18:27:49
[2023-03-28 20:27:47,440][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15ep/sub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/queried_indices.json
2023-03-28 18:27:49
Saving queried indices to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15ep/sub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/queried_indices.json.
2023-03-28 18:27:49
[2023-03-28 20:27:47,616][root][INFO] - Saving final model to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15ep/sub/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/model_final.pth.
2023-03-28 18:27:53
[2023-03-28 20:27:51,900][root][INFO] - Experiment took 143.58 minutes