Writing logs to ./outputs/2024-04-30-11-40-48-251003/train_log.txt.
Wrote original training args to ./outputs/2024-04-30-11-40-48-251003/training_args.json.
***** Running training *****
  Num examples = 4800
  Num epochs = 3
  Num clean epochs = 3
  Instantaneous batch size per device = 8
  Total train batch size (w. parallel, distributed & accumulation) = 8
  Gradient accumulation steps = 1
  Total optimization steps = 1800
==========================================================
Epoch 1
Running clean epoch 1/3
Train accuracy: 82.60%
Eval accuracy: 89.90%
Best score found. Saved model to ./outputs/2024-04-30-11-40-48-251003/best_model/
==========================================================
Epoch 2
Running clean epoch 2/3
Train accuracy: 94.21%
Eval accuracy: 93.37%
Best score found. Saved model to ./outputs/2024-04-30-11-40-48-251003/best_model/
==========================================================
Epoch 3
Running clean epoch 3/3
Train accuracy: 97.81%
Eval accuracy: 93.70%
Best score found. Saved model to ./outputs/2024-04-30-11-40-48-251003/best_model/
Wrote README to ./outputs/2024-04-30-11-40-48-251003/README.md.