| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: t5-small-finetuned-pubmed | |
| 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-pubmed | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.8403 | |
| - eval_rouge2_precision: 0.298 | |
| - eval_rouge2_recall: 0.1943 | |
| - eval_rouge2_fmeasure: 0.2198 | |
| - eval_runtime: 4.1041 | |
| - eval_samples_per_second: 43.372 | |
| - eval_steps_per_second: 2.924 | |
| - epoch: 5.0 | |
| - step: 500 | |
| ## 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: linear | |
| - num_epochs: 15 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.12.2 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 1.14.0 | |
| - Tokenizers 0.10.3 | |