Downloads · 30 days
10
42% of all-time downloads
DanielDanielDanielDanielDanielDaniel
student_modernBERT_clinic_oos
DanielDanielDanielDanielDanielDaniel/student_modernBERT_clinic_oos
student_modernBERT_clinic_oos is a text classification model from DanielDanielDanielDanielDanielDaniel. 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. --
All-time downloads
24
Public
Parameters
150M
3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors599 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 21, 2025
- SHA
- af2b7e94
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. -->
student_modernBERT_clinic_oos
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2612
- Accuracy: 0.9371
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 120 | 1.0837 | 0.7687 |
| No log | 2.0 | 240 | 0.4241 | 0.9071 |
| No log | 3.0 | 360 | 0.3094 | 0.9323 |
| No log | 4.0 | 480 | 0.2717 | 0.9358 |
| 3.6415 | 5.0 | 600 | 0.2612 | 0.9371 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Oct 16, 2025
- Updated
- Oct 21, 2025