readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-es-en-finetuned-es-to-en
    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. -->
  
  # opus-mt-es-en-finetuned-es-to-en
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5851
  - Bleu: 71.1382
  - Gen Len: 10.3225
  
  ## 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: 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 112  | 0.5693          | 71.7823 | 10.3676 |
  | No log        | 2.0   | 224  | 0.5744          | 69.5504 | 10.6739 |
  | No log        | 3.0   | 336  | 0.5784          | 71.6553 | 10.3117 |
  | No log        | 4.0   | 448  | 0.5826          | 71.0576 | 10.3261 |
  | 0.2666        | 5.0   | 560  | 0.5851          | 71.1382 | 10.3225 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.9.1
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  