--- tags: - generated_from_trainer datasets: - snli model-index: - name: roberta-large-snli results: [] --- # roberta-large-snli This model was trained from scratch on the snli dataset. It achieves the following results on the evaluation set: - eval_loss: 0.3151 - eval_p: 0.9017 - eval_r: 0.9010 - eval_f1: 0.9012 - eval_runtime: 23.1208 - eval_samples_per_second: 424.898 - eval_steps_per_second: 26.556 - step: 0 ## 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: cosine - num_epochs: 4 ### Framework versions - Transformers 4.21.1 - Pytorch 1.12.1 - Datasets 2.6.1 - Tokenizers 0.12.1