| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: rob2rand_chen_w_prefix | |
| 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. --> | |
| # rob2rand_chen_w_prefix | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.0686 | |
| - eval_bleu: 84.3905 | |
| - eval_em: 50.0650 | |
| - eval_bleu_em: 67.2278 | |
| - eval_runtime: 20.8187 | |
| - eval_samples_per_second: 36.938 | |
| - eval_steps_per_second: 0.624 | |
| - 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: 5e-06 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1000 | |
| - num_epochs: 50 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.7.1 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |