Loading…
Loading…
This model is a fine-tuned version of distilbert/distilbert-base-uncased 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 |
|---|---|---|---|---|
| No log | 1.0 | 338 | 0.0032 | 1.0 |
| 0.1435 | 2.0 | 676 | 0.0009 | 1.0 |
| 0.0012 | 3.0 | 1014 | 0.0004 | 1.0 |
| 0.0012 | 4.0 | 1352 | 0.0002 | 1.0 |
| 0.0005 | 5.0 | 1690 | 0.0002 | 1.0 |
| 0.0002 | 6.0 | 2028 | 0.0001 | 1.0 |
| 0.0002 | 7.0 | 2366 | 0.0001 | 1.0 |
| 0.0001 | 8.0 | 2704 | 0.0001 | 1.0 |
| 0.0001 | 9.0 | 3042 | 0.0000 | 1.0 |
| 0.0001 | 10.0 | 3380 | 0.0000 | 1.0 |
| 0.0001 | 11.0 | 3718 | 0.0000 | 1.0 |
| 0.0 | 12.0 | 4056 | 0.0000 | 1.0 |
| 0.0 | 13.0 | 4394 | 0.0000 | 1.0 |
| 0.0 | 14.0 | 4732 | 0.0000 | 1.0 |
| 0.0 | 15.0 | 5070 | 0.0000 | 1.0 |
| 0.0 | 16.0 | 5408 | 0.0000 | 1.0 |
| 0.0 | 17.0 | 5746 | 0.0000 | 1.0 |
| 0.0 | 18.0 | 6084 | 0.0000 | 1.0 |
| 0.0 | 19.0 | 6422 | 0.0000 | 1.0 |
| 0.0 | 20.0 | 6760 | 0.0000 | 1.0 |
| 0.0 | 21.0 | 7098 | 0.0000 | 1.0 |
| 0.0 | 22.0 | 7436 | 0.0000 | 1.0 |
| 0.0 | 23.0 | 7774 | 0.0000 | 1.0 |
| 0.0 | 24.0 | 8112 | 0.0000 | 1.0 |
| 0.0 | 25.0 | 8450 | 0.0000 | 1.0 |
distilbert/distilbert-base-uncased