| 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. | |