| Writing logs to ./outputs/2024-04-29-22-14-05-476099/train_log.txt. | |
| Wrote original training args to ./outputs/2024-04-29-22-14-05-476099/training_args.json. | |
| ***** Running training ***** | |
| Num examples = 12000 | |
| 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 = 4500 | |
| ========================================================== | |
| Epoch 1 | |
| Running clean epoch 1/3 | |
| Train accuracy: 84.42% | |
| Eval accuracy: 91.80% | |
| Best score found. Saved model to ./outputs/2024-04-29-22-14-05-476099/best_model/ | |
| ========================================================== | |
| Epoch 2 | |
| Running clean epoch 2/3 | |
| Train accuracy: 95.33% | |
| Eval accuracy: 94.57% | |
| Best score found. Saved model to ./outputs/2024-04-29-22-14-05-476099/best_model/ | |
| ========================================================== | |
| Epoch 3 | |
| Running clean epoch 3/3 | |
| Train accuracy: 98.50% | |
| Eval accuracy: 95.43% | |
| Best score found. Saved model to ./outputs/2024-04-29-22-14-05-476099/best_model/ | |
| Wrote README to ./outputs/2024-04-29-22-14-05-476099/README.md. | |