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rchrdwllm/BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-123
BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-123 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 |
|---|---|---|---|---|
| 1.2514 | 1.0 | 6 | 0.6219 | 0.9545 |
| 0.5759 | 2.0 | 12 | 0.5212 | 0.9545 |
| 0.4414 | 3.0 | 18 | 0.4739 | 0.9318 |
| 0.3855 | 4.0 | 24 | 0.4289 | 0.9545 |
| 0.3685 | 5.0 | 30 | 0.3981 | 1.0 |
| 0.3583 | 6.0 | 36 | 0.3917 | 1.0 |
| 0.3561 | 7.0 | 42 | 0.3852 | 1.0 |
| 0.3542 | 8.0 | 48 | 0.3844 | 1.0 |