readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - amazon_reviews_multi
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-amazon-en-kitchen-reviews
    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: 19.1669
  ---
  
  <!-- 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. -->
  
  # mt5-small-finetuned-amazon-en-kitchen-reviews
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the amazon_reviews_multi dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0960
  - Rouge1: 19.1669
  - Rouge2: 10.8937
  - Rougel: 18.6296
  - Rougelsum: 18.7486
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 13.803        | 1.0   | 827  | 2.4239          | 1.7983  | 0.0     | 1.8317  | 1.7854    |
  | 1.938         | 2.0   | 1654 | 1.2836          | 14.9804 | 4.7997  | 14.3848 | 14.4255   |
  | 1.2922        | 3.0   | 2481 | 1.1718          | 16.3574 | 7.2689  | 15.6126 | 15.5685   |
  | 1.1463        | 4.0   | 3308 | 1.1265          | 17.6554 | 8.9813  | 17.1575 | 17.2073   |
  | 1.078         | 5.0   | 4135 | 1.1085          | 19.2978 | 11.5604 | 18.8279 | 18.9399   |
  | 1.0453        | 6.0   | 4962 | 1.1070          | 19.3828 | 11.0161 | 18.7636 | 18.9002   |
  | 1.0233        | 7.0   | 5789 | 1.1004          | 19.0604 | 10.5071 | 18.341  | 18.4669   |
  | 1.012         | 8.0   | 6616 | 1.0960          | 19.1669 | 10.8937 | 18.6296 | 18.7486   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  