| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: BioLinkBERT-LitCovid-v1.1 |
| | 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-v1.1 |
| |
|
| | 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: 0.1070 |
| | - F1: 0.9009 |
| | - Roc Auc: 0.9439 |
| | - Accuracy: 0.7915 |
| |
|
| | ## 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 | Roc Auc | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
| | | 0.119 | 1.0 | 1560 | 0.1121 | 0.8949 | 0.9366 | 0.7857 | |
| | | 0.0994 | 2.0 | 3120 | 0.1050 | 0.8999 | 0.9335 | 0.7934 | |
| | | 0.0745 | 3.0 | 4680 | 0.1070 | 0.9009 | 0.9439 | 0.7915 | |
| | | 0.0584 | 4.0 | 6240 | 0.1132 | 0.8986 | 0.9367 | 0.7900 | |
| | | 0.0445 | 5.0 | 7800 | 0.1183 | 0.8993 | 0.9385 | 0.7886 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
