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BioClinicalBERT-full-finetuned-ner-pablo
pabRomero/BioClinicalBERT-full-finetuned-ner-pablo
BioClinicalBERT-full-finetuned-ner-pablo is a token classification model from pabRomero. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Oct 2, 2024
- SHA
- 54899e3f
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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. -->
BioClinicalBERT-full-finetuned-ner-pablo
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the n2c2 2018 dataset for the paper https://arxiv.org/abs/2409.19467. It achieves the following results on the evaluation set:
- Loss: 0.0834
- Precision: 0.7938
- Recall: 0.7935
- F1: 0.7936
- Accuracy: 0.9750
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 231 | 0.0943 | 0.7464 | 0.7612 | 0.7537 | 0.9720 |
| No log | 2.0 | 462 | 0.0801 | 0.7861 | 0.7821 | 0.7841 | 0.9750 |
| 0.2571 | 3.0 | 693 | 0.0806 | 0.7900 | 0.7911 | 0.7906 | 0.9748 |
| 0.2571 | 4.0 | 924 | 0.0834 | 0.7938 | 0.7935 | 0.7936 | 0.9750 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 18, 2024
- Updated
- Oct 2, 2024