| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: BioLinkBERT-LitCovid-v1.2.1 |
| | 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. --> |
| |
|
| | # BioLinkBERT-LitCovid-v1.2.1 |
| |
|
| | This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2205 |
| | - F1 micro: 0.9016 |
| | - F1 macro: 0.8505 |
| | - F1 weighted: 0.9044 |
| | - F1 samples: 0.9056 |
| | - Precision micro: 0.8545 |
| | - Precision macro: 0.7857 |
| | - Precision weighted: 0.8625 |
| | - Precision samples: 0.8862 |
| | - Recall micro: 0.9540 |
| | - Recall macro: 0.9431 |
| | - Recall weighted: 0.9540 |
| | - Recall samples: 0.9610 |
| | - Roc Auc: 0.9578 |
| | - Accuracy: 0.7211 |
| |
|
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| |
|
| | ### 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:----------:|:---------------:|:---------------:|:------------------:|:-----------------:|:------------:|:------------:|:---------------:|:--------------:|:-------:|:--------:| |
| | | 0.2839 | 1.0 | 2211 | 0.2205 | 0.9016 | 0.8505 | 0.9044 | 0.9056 | 0.8545 | 0.7857 | 0.8625 | 0.8862 | 0.9540 | 0.9431 | 0.9540 | 0.9610 | 0.9578 | 0.7211 | |
| | | 0.1926 | 2.0 | 4422 | 0.2477 | 0.9134 | 0.8734 | 0.9147 | 0.9159 | 0.8770 | 0.8309 | 0.8808 | 0.9026 | 0.9529 | 0.9283 | 0.9529 | 0.9590 | 0.9607 | 0.7554 | |
| | | 0.1341 | 3.0 | 6633 | 0.2667 | 0.9155 | 0.8749 | 0.9164 | 0.9170 | 0.8823 | 0.8328 | 0.8851 | 0.9059 | 0.9513 | 0.9251 | 0.9513 | 0.9569 | 0.9606 | 0.7642 | |
| | | 0.1161 | 4.0 | 8844 | 0.2864 | 0.9188 | 0.8783 | 0.9195 | 0.9202 | 0.8938 | 0.8451 | 0.8958 | 0.9150 | 0.9452 | 0.9173 | 0.9452 | 0.9525 | 0.9593 | 0.7758 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
