readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-ru-finetuned-v3
    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-v3
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8300
  - Bleu: 36.9731
  - Gen Len: 29.5504
  
  ## 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-06
  - train_batch_size: 85
  - eval_batch_size: 85
  - 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 |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
  | 1.073         | 1.0   | 71642  | 0.8276          | 37.1982 | 29.5248 |
  | 1.0769        | 2.0   | 143284 | 0.8289          | 37.1495 | 29.5305 |
  | 1.0772        | 3.0   | 214926 | 0.8294          | 37.1719 | 29.5099 |
  | 1.0767        | 4.0   | 286568 | 0.8297          | 37.0152 | 29.5522 |
  | 1.0668        | 5.0   | 358210 | 0.8300          | 36.9731 | 29.5504 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2+cu113
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  