Downloads · 30 days
7
11% of all-time downloads
BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT
rchrdwllm/BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT
BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT 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. --
All-time downloads
61
Public
Parameters
150M
598 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors598 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025
- SHA
- 20952559
Try a prompt
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_WITH-DROPOUT
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: 0.1602
- Accuracy: 0.9545
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: 5.715144783580817e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0645 | 1.0 | 22 | 0.7271 | 0.8409 |
| 0.4808 | 2.0 | 44 | 0.3123 | 0.9091 |
| 0.252 | 3.0 | 66 | 0.2175 | 0.9318 |
| 0.1565 | 4.0 | 88 | 0.1763 | 0.9318 |
| 0.1254 | 5.0 | 110 | 0.1602 | 0.9545 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- mit
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025