| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cnn_dailymail |
| metrics: |
| - rouge |
| model-index: |
| - name: tst-summarization |
| results: |
| - task: |
| name: Summarization |
| type: summarization |
| dataset: |
| name: cnn_dailymail 3.0.0 |
| type: cnn_dailymail |
| config: 3.0.0 |
| split: validation |
| args: 3.0.0 |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 41.607 |
| language: |
| - en |
| library_name: transformers |
| pipeline_tag: summarization |
| --- |
| |
| <!-- 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. --> |
|
|
| # tst-summarization |
|
|
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail 3.0.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6418 |
| - Rouge1: 41.607 |
| - Rouge2: 19.2272 |
| - Rougel: 29.4514 |
| - Rougelsum: 38.8228 |
| - Gen Len: 73.8731 |
| |
| ## 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-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: 3.0 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.29.2 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
