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sciencedata/trained_model_distilbert_0305
trained_model_distilbert_0305 is a text classification model from sciencedata. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the None 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 | 57 | 0.8234 | 0.6930 |
| No log | 2.0 | 114 | 0.7279 | 0.6930 |
| No log | 3.0 | 171 | 0.5902 | 0.7675 |
| No log | 4.0 | 228 | 0.5336 | 0.7632 |
| No log | 5.0 | 285 | 0.5117 | 0.7851 |
| No log | 6.0 | 342 | 0.5355 | 0.7807 |
| No log | 7.0 | 399 | 0.5005 | 0.8333 |
| No log | 8.0 | 456 | 0.5282 | 0.8289 |
| 0.4628 | 9.0 | 513 | 0.5481 | 0.8333 |
| 0.4628 | 10.0 | 570 | 0.5584 | 0.8158 |