Downloads · 30 days
3
3% of all-time downloads
EXP_1_BINARY-medicalai-ClinicalBERT
irebil/EXP_1_BINARY-medicalai-ClinicalBERT
EXP_1_BINARY-medicalai-ClinicalBERT is a token classification model from irebil. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
96
Public
Parameters
135M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors539 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025
- SHA
- a87a0648
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. -->
EXP_1_BINARY-medicalai-ClinicalBERT
This model is a fine-tuned version of medicalai/ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2095
- Precision: 0.8928
- Recall: 0.9150
- F1: 0.9038
- Accuracy: 0.9191
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2287 | 1.0 | 220 | 0.2176 | 0.8848 | 0.9190 | 0.9016 | 0.9167 |
| 0.2155 | 2.0 | 440 | 0.2125 | 0.8826 | 0.9273 | 0.9044 | 0.9186 |
| 0.2078 | 3.0 | 660 | 0.2095 | 0.8928 | 0.9150 | 0.9038 | 0.9191 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu130
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025