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BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-456
rchrdwllm/BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-456
BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-456 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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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- 88c79194
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-456
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:
- Loss: 0.4133
- Accuracy: 0.9773
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4.0113947533706865e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 456
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 8
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2805 | 1.0 | 6 | 0.8287 | 0.8636 |
| 0.6234 | 2.0 | 12 | 0.6261 | 0.9091 |
| 0.5073 | 3.0 | 18 | 0.5175 | 0.9091 |
| 0.4271 | 4.0 | 24 | 0.4481 | 0.9773 |
| 0.3932 | 5.0 | 30 | 0.4172 | 0.9773 |
| 0.3727 | 6.0 | 36 | 0.4138 | 0.9773 |
| 0.3669 | 7.0 | 42 | 0.4177 | 0.9773 |
| 0.3646 | 8.0 | 48 | 0.4133 | 0.9773 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- mit
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025