Downloads · 30 days
23
37% of all-time downloads
finetuned_BioClinicalBERT
npark95/finetuned_BioClinicalBERT
finetuned_BioClinicalBERT is a text classification model from npark95. 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
62
Public
Parameters
108M
27.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025
- SHA
- 1566dd21
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. -->
finetuned_BioClinicalBERT
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4147
- F1: 0.9143
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5879 | 1.0 | 24 | 0.4997 | 0.8767 |
| 0.52 | 2.0 | 48 | 0.4386 | 0.8889 |
| 0.3865 | 3.0 | 72 | 0.4487 | 0.7797 |
| 0.4456 | 4.0 | 96 | 0.5242 | 0.8 |
| 0.2789 | 5.0 | 120 | 0.4147 | 0.9143 |
| 0.2035 | 6.0 | 144 | 0.5301 | 0.8710 |
| 0.124 | 7.0 | 168 | 0.6356 | 0.8923 |
| 0.1422 | 8.0 | 192 | 0.9593 | 0.8308 |
| 0.123 | 9.0 | 216 | 2.0378 | 0.5833 |
| 0.0296 | 10.0 | 240 | 1.1534 | 0.8197 |
| 0.0047 | 11.0 | 264 | 0.6878 | 0.9254 |
| 0.0739 | 12.0 | 288 | 1.2483 | 0.8387 |
| 0.0016 | 13.0 | 312 | 1.9790 | 0.7143 |
| 0.0017 | 14.0 | 336 | 0.9967 | 0.8615 |
| 0.0015 | 15.0 | 360 | 2.0558 | 0.7143 |
| 0.0008 | 16.0 | 384 | 1.2408 | 0.8696 |
| 0.0006 | 17.0 | 408 | 1.6653 | 0.8 |
| 0.0003 | 18.0 | 432 | 1.1586 | 0.875 |
| 0.0002 | 19.0 | 456 | 1.1180 | 0.8955 |
| 0.0002 | 20.0 | 480 | 1.1362 | 0.8955 |
| 0.0002 | 21.0 | 504 | 1.1670 | 0.8955 |
| 0.0002 | 22.0 | 528 | 1.1915 | 0.8955 |
| 0.0002 | 23.0 | 552 | 1.2127 | 0.8955 |
| 0.0002 | 24.0 | 576 | 1.2162 | 0.8955 |
| 0.0002 | 25.0 | 600 | 1.2291 | 0.8955 |
| 0.0002 | 26.0 | 624 | 1.2454 | 0.8955 |
| 0.0002 | 27.0 | 648 | 1.2608 | 0.8955 |
| 0.0002 | 28.0 | 672 | 1.2348 | 0.8923 |
| 0.0002 | 29.0 | 696 | 1.2444 | 0.8923 |
| 0.0001 | 30.0 | 720 | 1.2437 | 0.8923 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025