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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 |
|---|---|---|---|---|
| No log | 1.0 | 469 | 2.7611 | 0.7857 |
| 3.9561 | 2.0 | 938 | 1.2236 | 0.8997 |
| 1.8505 | 3.0 | 1407 | 0.6344 | 0.932 |
| 0.8271 | 4.0 | 1876 | 0.4457 | 0.9413 |
| 0.463 | 5.0 | 2345 | 0.3958 | 0.946 |
distilbert/distilbert-base-uncased