--- tags: - generated_from_trainer datasets: - pubmed_qa model-index: - name: pubmed_qa_biolinkbert results: [] --- # pubmed_qa_biolinkbert This model was trained from scratch on the pubmed_qa dataset. ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 25 - total_train_batch_size: 200 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 120 ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1 - Datasets 2.8.0 - Tokenizers 0.11.0