readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - amazon_reviews_multi
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-amazon-en-es
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: amazon_reviews_multi
        type: amazon_reviews_multi
        config: es
        split: train
        args: es
      metrics:
      - name: Rouge1
        type: rouge
        value: 10.9755
  ---
  
  <!-- 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-es
  
  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: 2.8942
  - Rouge1: 10.9755
  - Rouge2: 4.1273
  - Rougel: 10.7296
  - Rougelsum: 10.8385
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 10.5642       | 1.0   | 439  | 3.4153          | 7.3011  | 1.5565 | 7.0922  | 7.2304    |
  | 4.6623        | 2.0   | 878  | 3.0078          | 14.2168 | 5.1958 | 13.9667 | 14.0056   |
  | 4.0693        | 3.0   | 1317 | 2.9778          | 11.6795 | 5.5855 | 11.7257 | 11.6912   |
  | 3.8168        | 4.0   | 1756 | 2.9269          | 11.9956 | 5.5567 | 11.8085 | 12.056    |
  | 3.6715        | 5.0   | 2195 | 2.9169          | 11.0503 | 4.6811 | 10.8545 | 11.0054   |
  | 3.562         | 6.0   | 2634 | 2.8999          | 10.8282 | 4.4821 | 10.6345 | 10.7208   |
  | 3.514         | 7.0   | 3073 | 2.8974          | 11.6036 | 4.7404 | 11.4618 | 11.4119   |
  | 3.4704        | 8.0   | 3512 | 2.8942          | 10.9755 | 4.1273 | 10.7296 | 10.8385   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  