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cause-biobert-biocause
alenatz/cause-biobert-biocause
cause-biobert-biocause is a machine learning model from alenatz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 12, 2024
- Updated
- Jul 12, 2024
- SHA
- fb650ff6
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. -->
cause-biobert-biocause
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5157
- Precision: 0.2230
- Recall: 0.4277
- F1: 0.2931
- Accuracy: 0.8241
- Cause P: 0.2230
- Cause R: 0.4277
- Cause F1: 0.2931
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Cause P | Cause R | Cause F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.6993 | 0.25 | 20 | 0.6314 | 0.0556 | 0.1698 | 0.0837 | 0.7587 | 0.0556 | 0.1698 | 0.0837 |
| 0.6993 | 0.5 | 40 | 0.5747 | 0.0826 | 0.2327 | 0.1219 | 0.6524 | 0.0826 | 0.2327 | 0.1219 |
| 0.6993 | 0.75 | 60 | 0.4896 | 0.1086 | 0.3899 | 0.1699 | 0.7420 | 0.1086 | 0.3899 | 0.1699 |
| 0.6993 | 1.0 | 80 | 0.4554 | 0.1497 | 0.3145 | 0.2028 | 0.7840 | 0.1497 | 0.3145 | 0.2028 |
| 0.6993 | 1.25 | 100 | 0.4952 | 0.1980 | 0.3774 | 0.2597 | 0.8353 | 0.1980 | 0.3774 | 0.2597 |
| 0.6993 | 1.5 | 120 | 0.4837 | 0.1749 | 0.3774 | 0.2390 | 0.7984 | 0.1749 | 0.3774 | 0.2390 |
| 0.6993 | 1.75 | 140 | 0.4786 | 0.1873 | 0.4088 | 0.2569 | 0.7991 | 0.1873 | 0.4088 | 0.2569 |
| 0.6993 | 2.0 | 160 | 0.5157 | 0.2230 | 0.4277 | 0.2931 | 0.8241 | 0.2230 | 0.4277 | 0.2931 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.1.post100
- Datasets 2.20.0
- Tokenizers 0.15.1
- Library
- transformers
- Type
- bert
- Created
- Jul 12, 2024
- Updated
- Jul 12, 2024