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2023-02-20 09:55:32
  warnings.warn("y_pred contains classes not in y_true")
2023-02-20 09:55:34
/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
2023-02-20 09:55:34
  warnings.warn("y_pred contains classes not in y_true")
2023-02-20 09:55:37
Testing: [25/63] eta: 0:00:27 loss: 0.2186 (0.2752) batch_acc: 96.2500 (96.3462) batch_f1: 0.7087 (0.7839) batch_acc_balanced: 0.7500 (0.7996) time: 0.7319 data: 0.0237 max mem: 15573
2023-02-20 09:55:55
Testing: [50/63] eta: 0:00:09 loss: 0.2721 (0.2645) batch_acc: 96.2500 (96.4951) batch_f1: 0.8489 (0.8100) batch_acc_balanced: 0.8736 (0.8173) time: 0.7321 data: 0.0240 max mem: 15573
2023-02-20 09:56:03
Testing: Total time: 0:00:45
2023-02-20 09:56:03
Epoch [14]: Test Loss: 0.2652,         Test Accuracy: 96.4586
2023-02-20 09:56:03
--------------------------------------------------------------------------------
2023-02-20 09:56:03
[2023-02-20 10:56:03,095][root][INFO] - Evaluation took 0.76 minutes
2023-02-20 09:56:03
[2023-02-20 10:56:03,096][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.26518154985849773, 'test_batch_acc_epoch': 96.45858345169123, 'test_batch_f1_epoch': 0.807795584671699, 'test_batch_acc_balanced_epoch': 0.8150524903198172}
2023-02-20 09:56:03
[2023-02-20 10:56:03,097][root][INFO] - Saving checkpoint for cycle 15
2023-02-20 09:56:09
[2023-02-20 10:56:08,168][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15_ep/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json
2023-02-20 09:56:09
Saving results to /mnt/work/glae/glae-results/fnc1/roberta/uncertainty/15_ep/N_INIT100__ACQ_SIZE100__N_ACQ15/seed5/results.json.
2023-02-20 09:56:09
[2023-02-20 10:56:08,660][root][INFO] - Experiment took 144.00 minutes