readme: ---
  license: mit
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  - rouge
  model-index:
  - name: mbart-large-50-English_Spanish_Translation
    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. -->
  
  # mbart-large-50-English_Spanish_Translation
  
  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0290
  - Bleu: 41.4437
  - Rouge: {'rouge1': 0.6751402780531002, 'rouge2': 0.49769602014143044, 'rougeL': 0.6371513427059108, 'rougeLsum': 0.6376403149816605}
  - Meteor: {'meteor': 0.6479226630466496}
  
  ## 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge                                                                                                                        | Meteor                         |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:----------------------------------------------------------------------------------------------------------------------------:|:------------------------------:|
  | 1.5608        | 1.0   | 900  | 1.0899          | 39.9184 | {'rouge1': 0.6645461901016299, 'rouge2': 0.48457734138815345, 'rougeL': 0.6254335531454508, 'rougeLsum': 0.6258737583448748} | {'meteor': 0.6376166612731494} |
  | 0.9734        | 2.0   | 1800 | 1.0290          | 41.4436 | {'rouge1': 0.6751348620702116, 'rouge2': 0.4976855704059807, 'rougeL': 0.6371345376462452, 'rougeLsum': 0.6376186633843448}  | {'meteor': 0.6479188510808377} |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  