| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - covid_qa_deepset | |
| model-index: | |
| - name: biobert-base-cased-v1.1-squad-finetuned-covbiobert | |
| 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. --> | |
| # biobert-base-cased-v1.1-squad-finetuned-covbiobert | |
| This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1-squad](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1-squad) on the covid_qa_deepset dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3959 | |
| ## 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: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 486 | 0.3787 | | |
| | 0.161 | 2.0 | 972 | 0.3959 | | |
| ### Framework versions | |
| - Transformers 4.13.0 | |
| - Pytorch 1.10.0+cu102 | |
| - Datasets 1.16.1 | |
| - Tokenizers 0.10.3 | |