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rchrdwllm/BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-1024
BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-1024 is a text classification model from rchrdwllm. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.safetensors598 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of thomas-sounack/BioClinical-ModernBERT-base 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 |
|---|---|---|---|---|
| 1.5113 | 1.0 | 6 | 1.0219 | 0.6364 |
| 0.6904 | 2.0 | 12 | 0.5551 | 0.8864 |
| 0.4791 | 3.0 | 18 | 0.4180 | 1.0 |
| 0.3863 | 4.0 | 24 | 0.3780 | 1.0 |
| 0.3678 | 5.0 | 30 | 0.3647 | 1.0 |
| 0.3597 | 6.0 | 36 | 0.3661 | 1.0 |
| 0.3555 | 7.0 | 42 | 0.3632 | 1.0 |
| 0.3546 | 8.0 | 48 | 0.3624 | 1.0 |