| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | base_model: bioformers/bioformer-litcovid |
| | model-index: |
| | - name: Bioformer-LitCovid-v1.2.3 |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # Bioformer-LitCovid-v1.2.3 |
| |
|
| | This model is a fine-tuned version of [bioformers/bioformer-litcovid](https://huggingface.co/bioformers/bioformer-litcovid) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9317 |
| | - F1 micro: 0.7843 |
| | - F1 macro: 0.2816 |
| | - F1 weighted: 0.8523 |
| | - F1 samples: 0.8647 |
| | - Precision micro: 0.6737 |
| | - Precision macro: 0.2255 |
| | - Precision weighted: 0.7914 |
| | - Precision samples: 0.8417 |
| | - Recall micro: 0.9384 |
| | - Recall macro: 0.7715 |
| | - Recall weighted: 0.9384 |
| | - Recall samples: 0.9468 |
| | - Roc Auc: 0.9568 |
| | - Accuracy: 0.6515 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 micro | F1 macro | F1 weighted | F1 samples | Precision micro | Precision macro | Precision weighted | Precision samples | Recall micro | Recall macro | Recall weighted | Recall samples | Roc Auc | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:----------:|:---------------:|:---------------:|:------------------:|:-----------------:|:------------:|:------------:|:---------------:|:--------------:|:-------:|:--------:| |
| | | 0.8024 | 1.0 | 1136 | 0.6487 | 0.6577 | 0.2288 | 0.7528 | 0.7600 | 0.5118 | 0.1747 | 0.6503 | 0.7007 | 0.9198 | 0.8185 | 0.9198 | 0.9253 | 0.9361 | 0.3919 | |
| | | 0.639 | 2.0 | 2272 | 0.8280 | 0.7187 | 0.2482 | 0.8039 | 0.8088 | 0.5833 | 0.1935 | 0.7200 | 0.7602 | 0.9361 | 0.7535 | 0.9361 | 0.9441 | 0.9499 | 0.4986 | |
| | | 0.5167 | 3.0 | 3408 | 0.8318 | 0.7589 | 0.2686 | 0.8342 | 0.8469 | 0.6372 | 0.2127 | 0.7628 | 0.8153 | 0.9382 | 0.7903 | 0.9382 | 0.9462 | 0.9546 | 0.6008 | |
| | | 0.3641 | 4.0 | 4544 | 0.9231 | 0.7793 | 0.2788 | 0.8472 | 0.8578 | 0.6644 | 0.2220 | 0.7815 | 0.8290 | 0.9422 | 0.7678 | 0.9422 | 0.9497 | 0.9582 | 0.6311 | |
| | | 0.3754 | 5.0 | 5680 | 0.9317 | 0.7843 | 0.2816 | 0.8523 | 0.8647 | 0.6737 | 0.2255 | 0.7914 | 0.8417 | 0.9384 | 0.7715 | 0.9384 | 0.9468 | 0.9568 | 0.6515 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
