readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - tatoeba
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-es-to-pt
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: tatoeba
        type: tatoeba
        args: es-pt
      metrics:
      - name: Bleu
        type: bleu
        value: 15.0473
  ---
  
  <!-- 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-small-finetuned-es-to-pt
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the tatoeba dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5557
  - Bleu: 15.0473
  - Gen Len: 15.8693
  
  ## 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: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 2.2027        | 1.0   | 1907 | 1.7884          | 11.6192 | 15.8829 |
  | 1.9296        | 2.0   | 3814 | 1.6034          | 14.201  | 15.8935 |
  | 1.8364        | 3.0   | 5721 | 1.5557          | 15.0473 | 15.8693 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  