| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - xsum | |
| model-index: | |
| - name: t5-small-finetuned-xsum | |
| 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. --> | |
| # t5-small-finetuned-xsum | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 2.5035 | |
| - eval_rouge1: 27.8289 | |
| - eval_rouge2: 7.4394 | |
| - eval_rougeL: 21.8436 | |
| - eval_rougeLsum: 21.8522 | |
| - eval_gen_len: 18.808 | |
| - eval_runtime: 277.1343 | |
| - eval_samples_per_second: 40.89 | |
| - eval_steps_per_second: 1.281 | |
| - epoch: 1.0 | |
| - step: 6377 | |
| ## 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: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.16.2 | |
| - Pytorch 1.9.0 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.11.0 | |