--- base_model: dmis-lab/biobert-v1.1 tags: - generated_from_trainer metrics: - accuracy model-index: - name: contrast_classifier_bio_bert results: [] --- # contrast_classifier_bio_bert This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1097 - Accuracy: 0.9857 ## 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: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.0075 | 1.0 | 18 | 0.2757 | 0.9286 | | 0.0024 | 2.0 | 36 | 0.5377 | 0.8429 | | 0.0009 | 3.0 | 54 | 0.1979 | 0.9714 | | 0.0006 | 4.0 | 72 | 0.1630 | 0.9714 | | 0.0004 | 5.0 | 90 | 0.1114 | 0.9857 | | 0.0004 | 6.0 | 108 | 0.1033 | 0.9857 | | 0.0003 | 7.0 | 126 | 0.1036 | 0.9857 | | 0.0003 | 8.0 | 144 | 0.1067 | 0.9857 | | 0.0003 | 9.0 | 162 | 0.1095 | 0.9857 | | 0.0003 | 10.0 | 180 | 0.1094 | 0.9857 | | 0.0002 | 11.0 | 198 | 0.1096 | 0.9857 | | 0.0002 | 12.0 | 216 | 0.1097 | 0.9857 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.0 - Tokenizers 0.15.0