readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-ru-en-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-ru-en-finetuned
  
  This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0399
  - Bleu: 43.5078
  - Gen Len: 26.1256
  
  ## 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 |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
  | 0.7462        | 1.0   | 35147  | 1.0422          | 43.3884 | 26.1742 |
  | 0.7501        | 2.0   | 70294  | 1.0407          | 43.5296 | 26.1671 |
  | 0.7471        | 3.0   | 105441 | 1.0402          | 43.5133 | 26.1118 |
  | 0.7514        | 4.0   | 140588 | 1.0401          | 43.492  | 26.1529 |
  | 0.7565        | 5.0   | 175735 | 1.0399          | 43.5078 | 26.1256 |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  