| Writing logs to ./outputs/2023-02-12-23-30-37-265125/train_log.txt. | |
| Wrote original training args to ./outputs/2023-02-12-23-30-37-265125/training_args.json. | |
| ***** Running training ***** | |
| Num examples = 160000 | |
| Num epochs = 3 | |
| Num clean epochs = 3 | |
| Instantaneous batch size per device = 64 | |
| Total train batch size (w. parallel, distributed & accumulation) = 64 | |
| Gradient accumulation steps = 1 | |
| Total optimization steps = 7500 | |
| ========================================================== | |
| Epoch 1 | |
| Running clean epoch 1/3 | |
| Train accuracy: 94.11% | |
| Eval accuracy: 96.77% | |
| Best score found. Saved model to ./outputs/2023-02-12-23-30-37-265125/best_model/ | |
| ========================================================== | |
| Epoch 2 | |
| Running clean epoch 2/3 | |
| Train accuracy: 97.52% | |
| Eval accuracy: 96.95% | |
| Best score found. Saved model to ./outputs/2023-02-12-23-30-37-265125/best_model/ | |
| ========================================================== | |
| Epoch 3 | |
| Running clean epoch 3/3 | |
| Train accuracy: 98.70% | |
| Eval accuracy: 97.07% | |
| Best score found. Saved model to ./outputs/2023-02-12-23-30-37-265125/best_model/ | |
| Wrote README to ./outputs/2023-02-12-23-30-37-265125/README.md. | |