readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-amazon-en-es
    results: []
  ---
  
  <!-- 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 None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 9.2585
  - Rouge1: 6.1835
  - Rouge2: 0.0
  - Rougel: 5.8333
  - Rougelsum: 6.1835
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 24.1065       | 1.0   | 11   | 32.7123         | 7.342  | 1.5385 | 7.1515 | 7.342     |
  | 22.6474       | 2.0   | 22   | 19.7137         | 6.1039 | 0.0    | 5.7143 | 6.1039    |
  | 16.319        | 3.0   | 33   | 12.8543         | 6.1039 | 0.0    | 5.7143 | 6.1039    |
  | 16.3224       | 4.0   | 44   | 10.1929         | 5.9524 | 0.0    | 5.7143 | 5.9524    |
  | 15.0599       | 5.0   | 55   | 9.9186          | 5.9524 | 0.0    | 5.7143 | 5.9524    |
  | 14.6053       | 6.0   | 66   | 9.3235          | 6.1835 | 0.0    | 5.8333 | 6.1835    |
  | 14.4345       | 7.0   | 77   | 9.1621          | 6.1835 | 0.0    | 5.8333 | 6.1835    |
  | 13.7973       | 8.0   | 88   | 9.2585          | 6.1835 | 0.0    | 5.8333 | 6.1835    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  