| --- |
| license: apache-2.0 |
| tags: |
| - summarization |
| - generated_from_trainer |
| datasets: |
| - amazon_reviews_multi |
| metrics: |
| - rouge |
| model-index: |
| - name: summary_tutorial |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: amazon_reviews_multi |
| type: amazon_reviews_multi |
| config: en |
| split: train |
| args: en |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 19.4358 |
| --- |
| |
| <!-- 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. --> |
|
|
| # summary_tutorial |
| |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the amazon_reviews_multi dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8504 |
| - Rouge1: 19.4358 |
| - Rouge2: 10.0475 |
| - Rougel: 18.6327 |
| - Rougelsum: 18.648 |
| |
| ## 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: 5.6e-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: 8 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
| | 2.867 | 1.0 | 771 | 2.7687 | 18.7278 | 10.8323 | 17.9617 | 17.8262 | |
| | 2.5363 | 2.0 | 1542 | 2.7741 | 18.4642 | 10.2431 | 17.8719 | 17.7799 | |
| | 2.3516 | 3.0 | 2313 | 2.7578 | 18.4591 | 9.5235 | 18.0114 | 17.8761 | |
| | 2.216 | 4.0 | 3084 | 2.7938 | 20.2372 | 10.7222 | 19.5686 | 19.5045 | |
| | 2.0929 | 5.0 | 3855 | 2.7981 | 19.536 | 10.0232 | 18.7119 | 18.7774 | |
| | 2.0 | 6.0 | 4626 | 2.8229 | 18.5138 | 9.6349 | 17.7119 | 17.782 | |
| | 1.9479 | 7.0 | 5397 | 2.8397 | 19.3795 | 10.0475 | 18.5904 | 18.532 | |
| | 1.9031 | 8.0 | 6168 | 2.8504 | 19.4358 | 10.0475 | 18.6327 | 18.648 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.24.0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
| |
