readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-en-ru-finetuned-en-to-ru-PSUR
    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-PSUR
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5359
  - Bleu: 63.0879
  - Gen Len: 40.2272
  
  ## 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
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 342  | 0.8518          | 51.2732 | 39.905  |
  | 1.0725        | 2.0   | 684  | 0.7179          | 55.1029 | 39.9693 |
  | 0.674         | 3.0   | 1026 | 0.6524          | 57.0262 | 40.1402 |
  | 0.674         | 4.0   | 1368 | 0.6114          | 59.2284 | 40.0825 |
  | 0.5055        | 5.0   | 1710 | 0.5805          | 60.3198 | 40.1877 |
  | 0.4221        | 6.0   | 2052 | 0.5629          | 61.0608 | 40.1278 |
  | 0.4221        | 7.0   | 2394 | 0.5481          | 62.0624 | 40.1234 |
  | 0.3626        | 8.0   | 2736 | 0.5411          | 62.6574 | 40.1914 |
  | 0.3293        | 9.0   | 3078 | 0.5375          | 63.0003 | 40.2542 |
  | 0.3293        | 10.0  | 3420 | 0.5359          | 63.0879 | 40.2272 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.12.0
  - Datasets 2.4.0
  - Tokenizers 0.10.3
  