readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-ru-finetuned-v2
    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-v2
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7517
  - Bleu: 41.0306
  - Gen Len: 29.5078
  
  ## 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: 1e-05
  - train_batch_size: 20
  - eval_batch_size: 20
  - 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   | Bleu    | Gen Len | Validation Loss |
  |:-------------:|:-----:|:------:|:-------:|:-------:|:---------------:|
  | 0.8091        | 1.0   | 85978  | 39.9389 | 29.6753 | 0.7727          |
  | 0.7826        | 2.0   | 171956 | 0.7679  | 40.1955 | 29.5947         |
  | 0.7804        | 3.0   | 257934 | 0.7609  | 40.3659 | 29.5642         |
  | 0.7695        | 4.0   | 343912 | 0.7551  | 40.7947 | 29.5568         |
  | 0.7546        | 5.0   | 429890 | 0.7517  | 41.0306 | 29.5078         |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  