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2023-02-02 05:51:18
[2023-02-02 06:51:16,836][root][INFO] - Evaluation with 4998 sample
2023-02-02 05:51:18
Testing: [ 0/63] eta: 0:00:19 loss: 0.3466 (0.3466) batch_acc: 85.0000 (85.0000) batch_f1: 0.6862 (0.6862) batch_acc_balanced: 0.6929 (0.6929) time: 0.3106 data: 0.0230 max mem: 12287
2023-02-02 05:51:26
Testing: [25/63] eta: 0:00:11 loss: 0.2768 (0.2800) batch_acc: 90.0000 (90.5769) batch_f1: 0.6296 (0.6555) batch_acc_balanced: 0.6364 (0.6618) time: 0.2960 data: 0.0228 max mem: 12287
2023-02-02 05:51:32
Testing: [50/63] eta: 0:00:03 loss: 0.2249 (0.2614) batch_acc: 92.5000 (91.2745) batch_f1: 0.6680 (0.6699) batch_acc_balanced: 0.6667 (0.6743) time: 0.2962 data: 0.0231 max mem: 12287
2023-02-02 05:51:35
  warnings.warn("y_pred contains classes not in y_true")/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1999: UserWarning: y_pred contains classes not in y_true
2023-02-02 05:51:36
Testing: Total time: 0:00:18
2023-02-02 05:51:36
Epoch [4]: Test Loss: 0.2619,         Test Accuracy: 91.2365
2023-02-02 05:51:36
--------------------------------------------------------------------------------
2023-02-02 05:51:36
[2023-02-02 06:51:35,375][root][INFO] - Evaluation took 0.31 minutes
2023-02-02 05:51:36
[2023-02-02 06:51:35,376][root][INFO] - Evaluation stats: {'test_loss_epoch': 0.261853589898064, 'test_batch_acc_epoch': 91.236494616157, 'test_batch_f1_epoch': 0.6660974059461939, 'test_batch_acc_balanced_epoch': 0.6743940506345024}
2023-02-02 05:51:36
[2023-02-02 06:51:35,376][root][INFO] - Saving checkpoint for cycle 60
2023-02-02 05:51:38
[2023-02-02 06:51:38,230][root][INFO] - Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/badge/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json
2023-02-02 05:51:38
Saving results to /mnt/work/glae/glae-results/fnc1/distilbert/badge/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json.
2023-02-02 05:51:40
[2023-02-02 06:51:39,281][root][INFO] - Experiment took 112.05 minutes