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bert-biobert
stivenacua17/bert-biobert
bert-biobert is a token classification model from stivenacua17. Use it when you need labels on individual words, such as names. 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. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 21, 2024
- Updated
- Nov 23, 2024
- SHA
- 931cbfa2
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Base models
Datasets
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. -->
bert-biobert
This model is a fine-tuned version of bert-base-uncased on the biobert_json dataset. It achieves the following results on the evaluation set:
- Loss: 0.1108
- Precision: 0.9431
- Recall: 0.9681
- F1: 0.9554
- Accuracy: 0.9766
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 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4604 | 1.0 | 612 | 0.1196 | 0.9239 | 0.9553 | 0.9393 | 0.9694 |
| 0.1399 | 2.0 | 1224 | 0.1072 | 0.9252 | 0.9724 | 0.9482 | 0.9726 |
| 0.0938 | 3.0 | 1836 | 0.0939 | 0.9425 | 0.9703 | 0.9562 | 0.9777 |
| 0.076 | 4.0 | 2448 | 0.0996 | 0.9393 | 0.9729 | 0.9558 | 0.9771 |
| 0.0543 | 5.0 | 3060 | 0.0976 | 0.9397 | 0.9699 | 0.9546 | 0.9766 |
| 0.0475 | 6.0 | 3672 | 0.1072 | 0.9392 | 0.9698 | 0.9543 | 0.9751 |
| 0.0399 | 7.0 | 4284 | 0.1060 | 0.9410 | 0.9698 | 0.9552 | 0.9765 |
| 0.038 | 8.0 | 4896 | 0.1097 | 0.9411 | 0.9707 | 0.9557 | 0.9770 |
| 0.0301 | 9.0 | 5508 | 0.1087 | 0.9438 | 0.9692 | 0.9563 | 0.9769 |
| 0.0281 | 10.0 | 6120 | 0.1108 | 0.9431 | 0.9681 | 0.9554 | 0.9766 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 21, 2024
- Updated
- Nov 23, 2024