readme: ---
  license: apache-2.0
  tags:
  - Summarization
  - generated_from_trainer
  datasets:
  - amazon_reviews_multi
  metrics:
  - rouge
  model-index:
  - name: t5-finetuned-amazon-english
    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: 19.1814
  ---
  
  <!-- 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-finetuned-amazon-english
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the amazon_reviews_multi dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1713
  - Rouge1: 19.1814
  - Rouge2: 9.8673
  - Rougel: 18.1982
  - Rougelsum: 18.2963
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 3.3583        | 1.0   | 771  | 3.2513          | 16.6865 | 9.0598 | 15.8299 | 15.8472   |
  | 3.1022        | 2.0   | 1542 | 3.2147          | 16.8499 | 9.4849 | 16.1568 | 16.2437   |
  | 3.0067        | 3.0   | 2313 | 3.1718          | 16.9516 | 8.762  | 16.104  | 16.2186   |
  | 2.9482        | 4.0   | 3084 | 3.1854          | 18.9582 | 9.5416 | 18.0846 | 18.2938   |
  | 2.8934        | 5.0   | 3855 | 3.1669          | 18.857  | 9.934  | 17.9027 | 18.0272   |
  | 2.8389        | 6.0   | 4626 | 3.1782          | 18.6736 | 9.326  | 17.6943 | 17.8852   |
  | 2.8174        | 7.0   | 5397 | 3.1709          | 18.4342 | 9.6936 | 17.5714 | 17.6516   |
  | 2.8           | 8.0   | 6168 | 3.1713          | 19.1814 | 9.8673 | 18.1982 | 18.2963   |
  
  
  ### Framework versions
  
  - Transformers 4.22.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  