--- tags: - generated_from_trainer datasets: - cosmos_qa model-index: - name: longformer_cosmos results: [] --- # longformer_cosmos This model was trained from scratch on the cosmos_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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 25 - total_train_batch_size: 100 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Framework versions - Transformers 4.21.3 - Pytorch 1.12.1 - Datasets 2.5.1 - Tokenizers 0.11.0