| license: apache-2.0 | |
| base_model: google-t5/t5-small | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - samsum | |
| model-index: | |
| - name: t5-small-samsum-ft-experiment_2 | |
| 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-samsum-ft-experiment_2 | |
| This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the samsum dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 7.6490 | |
| - eval_rouge1: 0.0982 | |
| - eval_rouge2: 0.0087 | |
| - eval_rougeL: 0.0982 | |
| - eval_rougeLsum: 0.0972 | |
| - eval_gen_len: 19.0 | |
| - eval_runtime: 0.5251 | |
| - eval_samples_per_second: 9.522 | |
| - eval_steps_per_second: 1.904 | |
| - epoch: 3.0 | |
| - step: 3 | |
| ## 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: linear | |
| - num_epochs: 10 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.19.2 | |
| - Tokenizers 0.19.1 | |