readme: ---
  license: apache-2.0
  language:
  - ru
  - sv
  
  tags:
  - generated_from_trainer
  - translation
  
  model-index:
  - name: mt-ru-sv-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. -->
  
  # mt-ru-sv-finetuned
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-sv](https://huggingface.co/Helsinki-NLP/opus-mt-ru-sv) on the None dataset.
  It achieves the following results on the Tatoeba.rus.swe evaluation set:
  - eval_loss: 0.6998
  - eval_bleu: 54.4473
  
  
  ## 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: 5e-06
  - train_batch_size: 24
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  