| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: BioLinkBERT-LitCovid-v1.3.1 |
| | 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-v1.3.1 |
| |
|
| | 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: 0.6883 |
| | - Hamming loss: 0.0171 |
| | - F1 micro: 0.8542 |
| | - F1 macro: 0.3828 |
| | - F1 weighted: 0.8818 |
| | - F1 samples: 0.8804 |
| | - Precision micro: 0.7855 |
| | - Precision macro: 0.3067 |
| | - Precision weighted: 0.8407 |
| | - Precision samples: 0.8641 |
| | - Recall micro: 0.9360 |
| | - Recall macro: 0.7145 |
| | - Recall weighted: 0.9360 |
| | - Recall samples: 0.9459 |
| | - Roc Auc: 0.9607 |
| | - Accuracy: 0.6896 |
| |
|
| | ## 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 | Hamming 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------------:|:--------:|:--------:|:-----------:|:----------:|:---------------:|:---------------:|:------------------:|:-----------------:|:------------:|:------------:|:---------------:|:--------------:|:-------:|:--------:| |
| | | 1.0638 | 1.0 | 2272 | 0.4414 | 0.0398 | 0.7141 | 0.2594 | 0.8318 | 0.8178 | 0.5807 | 0.2077 | 0.7729 | 0.7843 | 0.9269 | 0.8062 | 0.9269 | 0.9422 | 0.9445 | 0.5545 | |
| | | 0.8571 | 2.0 | 4544 | 0.4364 | 0.0230 | 0.8122 | 0.3367 | 0.8645 | 0.8517 | 0.7236 | 0.2666 | 0.8255 | 0.8284 | 0.9254 | 0.7835 | 0.9254 | 0.9396 | 0.9527 | 0.6211 | |
| | | 0.6709 | 3.0 | 6816 | 0.4827 | 0.0218 | 0.8222 | 0.3405 | 0.8723 | 0.8638 | 0.7297 | 0.2708 | 0.8239 | 0.8381 | 0.9415 | 0.7770 | 0.9415 | 0.9513 | 0.9609 | 0.6488 | |
| | | 0.5093 | 4.0 | 9088 | 0.5695 | 0.0184 | 0.8457 | 0.3795 | 0.8781 | 0.8753 | 0.7692 | 0.3006 | 0.8333 | 0.8556 | 0.9390 | 0.7605 | 0.9390 | 0.9482 | 0.9615 | 0.6760 | |
| | | 0.2957 | 5.0 | 11360 | 0.6883 | 0.0171 | 0.8542 | 0.3828 | 0.8818 | 0.8804 | 0.7855 | 0.3067 | 0.8407 | 0.8641 | 0.9360 | 0.7145 | 0.9360 | 0.9459 | 0.9607 | 0.6896 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.28.0 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.13.3 |
| |
|
