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: 3.0285
  - Rouge1: 16.9728
  - Rouge2: 8.2969
  - Rougel: 16.8366
  - Rougelsum: 16.8510
  - Gen Len: 10.1597
  
  ## 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: 8e-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 | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 6.4205        | 1.0   | 1209 | 3.3904          | 7.3124  | 2.1083 | 7.0649  | 7.0966    | 4.7269  |
  | 3.7818        | 2.0   | 2418 | 3.1762          | 10.5437 | 3.0706 | 10.4618 | 10.4713   | 5.3697  |
  | 3.4672        | 3.0   | 3627 | 3.1304          | 10.4674 | 3.0531 | 10.2156 | 10.2549   | 5.9748  |
  | 3.3179        | 4.0   | 4836 | 3.1170          | 11.2847 | 3.3152 | 11.1387 | 11.146    | 6.1723  |
  | 3.2048        | 5.0   | 6045 | 3.1069          | 11.5212 | 3.1957 | 11.2117 | 11.2044   | 6.042   |
  | 3.1211        | 6.0   | 7254 | 3.1028          | 11.8104 | 3.6482 | 11.5535 | 11.5259   | 6.0462  |
  | 3.0724        | 7.0   | 8463 | 3.1001          | 11.7336 | 3.6575 | 11.4403 | 11.4738   | 5.9454  |
  | 3.0476        | 8.0   | 9672 | 3.0983          | 11.8061 | 3.6575 | 11.4999 | 11.5414   | 5.9286  |
  
  
  ### Framework versions
  
  - Transformers 4.12.0.dev0
  - Pytorch 1.9.1+cu111
  - Datasets 1.12.2.dev0
  - Tokenizers 0.10.3
  