| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: bigbird-roberta-large-fever | |
| 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. --> | |
| # bigbird-roberta-large-fever | |
| This model was trained from scratch on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.4721 | |
| - eval_p: 0.8933 | |
| - eval_r: 0.8930 | |
| - eval_f1: 0.8926 | |
| - eval_runtime: 153.523 | |
| - eval_samples_per_second: 122.49 | |
| - eval_steps_per_second: 15.314 | |
| - 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: 1e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - 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 | |