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--- |
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base_model: dmis-lab/biobert-v1.1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: contrast_classifier_biobert_v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# contrast_classifier_biobert_v2 |
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Accuracy: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.653 | 1.0 | 37 | 0.6146 | 0.7273 | |
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| 0.4263 | 2.0 | 74 | 0.2425 | 0.9697 | |
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| 0.1128 | 3.0 | 111 | 0.0098 | 1.0 | |
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| 0.0275 | 4.0 | 148 | 0.0031 | 1.0 | |
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| 0.003 | 5.0 | 185 | 0.0023 | 1.0 | |
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| 0.0023 | 6.0 | 222 | 0.0015 | 1.0 | |
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| 0.0018 | 7.0 | 259 | 0.0011 | 1.0 | |
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| 0.0015 | 8.0 | 296 | 0.0011 | 1.0 | |
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| 0.0016 | 9.0 | 333 | 0.0011 | 1.0 | |
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| 0.0222 | 10.0 | 370 | 0.0010 | 1.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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