加载中…
加载中…
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9088 | 0.1 | 625 | 0.6229 | 0.662 |
| 1.0188 | 0.2 | 1250 | 0.5429 | 0.7092 |
| 0.9781 | 0.3 | 1875 | 0.5086 | 0.7556 |
| 0.6919 | 0.4 | 2500 | 0.4571 | 0.792 |
| 0.002 | 0.5 | 3125 | 0.5278 | 0.7892 |
| 1.6834 | 0.6 | 3750 | 0.5348 | 0.8104 |
| 0.0436 | 0.7 | 4375 | 0.4732 | 0.826 |
| 0.0332 | 0.8 | 5000 | 0.4995 | 0.8252 |
| 0.9907 | 0.9 | 5625 | 0.4764 | 0.8344 |
| 0.9651 | 1.0 | 6250 | 0.4809 | 0.8364 |