--- license: mit base_model: FacebookAI/roberta-base tags: - question-answering - nlp - generated_from_trainer model-index: - name: distilbert-qa-mash-covid 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. --> # distilbert-qa-mash-covid This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the mashqa_covid_dataset dataset. It achieves the following results on the evaluation set: - Loss: 1.0643 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 1.6892 | 1.0 | 657 | 1.0350 | | 1.0865 | 2.0 | 1314 | 1.0145 | | 0.9423 | 3.0 | 1971 | 0.9382 | | 0.6721 | 4.0 | 2628 | 0.9880 | | 0.5998 | 5.0 | 3285 | 1.0643 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2