This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4175 | 1.0 | 7 | 0.0614 | 1.0 |
| 0.0267 | 2.0 | 14 | 0.0056 | 1.0 |
| 0.004 | 3.0 | 21 | 0.0018 | 1.0 |
| 0.0017 | 4.0 | 28 | 0.0010 | 1.0 |
| 0.0011 | 5.0 | 35 | 0.0007 | 1.0 |
| 0.0008 | 6.0 | 42 | 0.0006 | 1.0 |
| 0.0007 | 7.0 | 49 | 0.0005 | 1.0 |
| 0.0006 | 8.0 | 56 | 0.0005 | 1.0 |
| 0.0006 | 9.0 | 63 | 0.0005 | 1.0 |
| 0.0005 | 10.0 | 70 | 0.0005 | 1.0 |
model.safetensors 268 MBtraining_args.bin 5.2 kB