readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-ru-finetuned-en-to-ru
    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-en-ru-finetuned-en-to-ru
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7682
  - Bleu: 14.6112
  - Gen Len: 7.202
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 2.3198        | 1.0   | 4956  | 2.1261          | 9.5339  | 6.7709  |
  | 1.9732        | 2.0   | 9912  | 1.9639          | 10.4715 | 7.1254  |
  | 1.7127        | 3.0   | 14868 | 1.8780          | 11.6128 | 7.1106  |
  | 1.5614        | 4.0   | 19824 | 1.8367          | 12.8389 | 7.0468  |
  | 1.4276        | 5.0   | 24780 | 1.8040          | 13.7423 | 7.0403  |
  | 1.3096        | 6.0   | 29736 | 1.7820          | 14.1469 | 7.0555  |
  | 1.2381        | 7.0   | 34692 | 1.7761          | 13.9987 | 7.2225  |
  | 1.1784        | 8.0   | 39648 | 1.7725          | 14.4675 | 7.1799  |
  | 1.1376        | 9.0   | 44604 | 1.7692          | 14.4937 | 7.1957  |
  | 1.0862        | 10.0  | 49560 | 1.7682          | 14.6112 | 7.202   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  