| | --- |
| | 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 |
