readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-ru-finetuned
    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
  
  This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7763
  - Bleu: 41.0065
  - Gen Len: 29.7548
  
  ## 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: 49
  - eval_batch_size: 24
  - 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 |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
  | 0.6903        | 1.0   | 35147  | 0.7779          | 40.9223 | 29.7846 |
  | 0.6999        | 2.0   | 70294  | 0.7776          | 40.8267 | 29.8421 |
  | 0.7257        | 3.0   | 105441 | 0.7769          | 40.8549 | 29.8765 |
  | 0.7238        | 4.0   | 140588 | 0.7763          | 41.0225 | 29.7129 |
  | 0.7313        | 5.0   | 175735 | 0.7763          | 41.0065 | 29.7548 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  