Downloads · 30 days
8
14% of all-time downloads
ClinicalBERT_JNLPBA_NER
judithrosell/ClinicalBERT_JNLPBA_NER
ClinicalBERT_JNLPBA_NER is a token classification model from judithrosell. 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
57
Public
Parameters
135M
1.6 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 23, 2023
- Updated
- Dec 24, 2023
- SHA
- 3f7bd69e
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. -->
ClinicalBERT_JNLPBA_NER
This model is a fine-tuned version of medicalai/ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1713
- Precision: 0.9452
- Recall: 0.9354
- F1: 0.9403
- Accuracy: 0.9427
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3475 | 1.0 | 582 | 0.1914 | 0.9330 | 0.9314 | 0.9322 | 0.9358 |
| 0.1835 | 2.0 | 1164 | 0.1746 | 0.9426 | 0.9332 | 0.9379 | 0.9408 |
| 0.158 | 3.0 | 1746 | 0.1713 | 0.9452 | 0.9354 | 0.9403 | 0.9427 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- Created
- Dec 23, 2023
- Updated
- Dec 24, 2023