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felipe-nextly/text-classification-medical
text-classification-medical is a text classification model from felipe-nextly. 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 bert-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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 13 | 0.6409 | 0.5714 | 0.7273 |
| No log | 2.0 | 26 | 0.5385 | 0.8297 | 0.8397 |
| No log | 3.0 | 39 | 0.3346 | 0.9286 | 0.9293 |
| No log | 4.0 | 52 | 0.1979 | 0.9780 | 0.9781 |
| No log | 5.0 | 65 | 0.1321 | 0.9945 | 0.9945 |
| No log | 6.0 | 78 | 0.0932 | 1.0 | 1.0 |
| No log | 7.0 | 91 | 0.0654 | 1.0 | 1.0 |
| No log | 8.0 | 104 | 0.0508 | 1.0 | 1.0 |
| No log | 9.0 | 117 | 0.0420 | 1.0 | 1.0 |
| No log | 10.0 | 130 | 0.0394 | 1.0 | 1.0 |