| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | base_model: michiyasunaga/BioLinkBERT-base |
| | model-index: |
| | - name: BioLinkBERT-LitCovid-v1.2 |
| | 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 |
| |
|
| | 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: 0.0950 |
| | - F1 micro: 0.9201 |
| | - F1 macro: 0.8831 |
| | - F1 weighted: 0.9202 |
| | - F1 samples: 0.9200 |
| | - Precision micro: 0.9141 |
| | - Precision macro: 0.8790 |
| | - Precision weighted: 0.9144 |
| | - Precision samples: 0.9283 |
| | - Recall micro: 0.9263 |
| | - Recall macro: 0.8877 |
| | - Recall weighted: 0.9263 |
| | - Recall samples: 0.9372 |
| | - Roc Auc: 0.9529 |
| | - Accuracy: 0.7848 |
| |
|
| | ## 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: 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------:|:----------:|:---------------:|:---------------:|:------------------:|:-----------------:|:------------:|:------------:|:---------------:|:--------------:|:-------:|:--------:| |
| | | 0.1013 | 1.0 | 2211 | 0.0899 | 0.9159 | 0.8789 | 0.9164 | 0.9149 | 0.9074 | 0.8824 | 0.9092 | 0.9213 | 0.9245 | 0.8808 | 0.9245 | 0.9355 | 0.9511 | 0.7729 | |
| | | 0.0749 | 2.0 | 4422 | 0.0847 | 0.9205 | 0.8854 | 0.9205 | 0.9203 | 0.9138 | 0.8843 | 0.9144 | 0.9264 | 0.9274 | 0.8882 | 0.9274 | 0.9390 | 0.9534 | 0.7857 | |
| | | 0.0583 | 3.0 | 6633 | 0.0871 | 0.9212 | 0.8851 | 0.9212 | 0.9206 | 0.9145 | 0.8913 | 0.9151 | 0.9269 | 0.9280 | 0.8808 | 0.9280 | 0.9390 | 0.9537 | 0.7883 | |
| | | 0.0433 | 4.0 | 8844 | 0.0924 | 0.9201 | 0.8849 | 0.9203 | 0.9202 | 0.9094 | 0.8766 | 0.9099 | 0.9246 | 0.9312 | 0.8947 | 0.9312 | 0.9416 | 0.9546 | 0.7834 | |
| | | 0.0315 | 5.0 | 11055 | 0.0950 | 0.9201 | 0.8831 | 0.9202 | 0.9200 | 0.9141 | 0.8790 | 0.9144 | 0.9283 | 0.9263 | 0.8877 | 0.9263 | 0.9372 | 0.9529 | 0.7848 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
