readme: ---
  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
  