| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - snli | |
| model-index: | |
| - name: roberta-large-snli | |
| 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. --> | |
| # 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 | |