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Timestamps visible
2023-03-29 07:31:44
100%|█████████▉| 622/625 [05:44<00:01,  1.80it/s]
2023-03-29 07:31:46
100%|██████████| 625/625 [05:46<00:00,  1.80it/s]
2023-03-29 07:31:46
100%|██████████| 625/625 [05:46<00:00,  1.80it/s]
2023-03-29 07:31:46
Epoch [14]: Test Loss: 2.8541,         Test Accuracy: 56.0240,         Test acc_blc: 56.0240
2023-03-29 07:31:46
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2023-03-29 07:31:46
[2023-03-29 09:31:45,025][root][INFO] - Evaluation took 5.77 minutes
2023-03-29 07:31:46
[2023-03-29 09:31:45,028][root][INFO] - Evaluation stats: {'test_acc': 56.02400207519531, 'test_f1_macro': 56.65401185451731, 'test_f1_micro': 56.023999999999994, 'test_acc_blc': 56.02400000000001, 'test_loss': 2.8541479110717773}
2023-03-29 07:31:46
[2023-03-29 09:31:45,042][root][INFO] - Saving checkpoint for cycle 60
2023-03-29 07:31:50
[2023-03-29 09:31:49,685][root][INFO] - Saving results to /mnt/work/glae/glae-results/yelp5/bert/badge/15ep/sub/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json
2023-03-29 07:31:50
Saving results to /mnt/work/glae/glae-results/yelp5/bert/badge/15ep/sub/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/results.json.
2023-03-29 07:32:08
[2023-03-29 09:32:06,219][root][INFO] - Saving results to /mnt/work/glae/glae-results/yelp5/bert/badge/15ep/sub/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/queried_indices.json
2023-03-29 07:32:08
Saving queried indices to /mnt/work/glae/glae-results/yelp5/bert/badge/15ep/sub/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/queried_indices.json.
2023-03-29 07:32:08
[2023-03-29 09:32:06,453][root][INFO] - Saving final model to /mnt/work/glae/glae-results/yelp5/bert/badge/15ep/sub/N_INIT100__ACQ_SIZE25__N_ACQ60/seed5/model_final.pth.
2023-03-29 07:32:12
[2023-03-29 09:32:11,194][root][INFO] - Experiment took 729.23 minutes