readme: ---
  tags:
  - translation
  - generated_from_trainer
  datasets:
  - scielo
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-es-scielo
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: scielo
        type: scielo
        args: en-es
      metrics:
      - name: Bleu
        type: bleu
        value: 41.53733801247958
  ---
  
  <!-- 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. -->
  
  # opus-mt-en-es-scielo
  
  This model is a fine-tuned version of [domenicrosati/opus-mt-en-es-scielo](https://huggingface.co/domenicrosati/opus-mt-en-es-scielo) on the scielo dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2189
  - Bleu: 41.5373
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.0943        | 1.0   | 10001 | 1.2189          | 41.5373 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  