readme: ---
  language:
  - en
  - sv
  tags:
  - generated_from_trainer
  - translation
  
  metrics:
  - type: Bleu
  - value: 67.28
  model-index:
  - name: mt-en-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-en-sv-finetuned
  
  This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-sv.
  It achieves the following results on the Tatoeba.en.sv evaluation set:
  - Bleu: 67.28528945378108
  
  ## Model description
  
  - source_lang = en
  - target_lang = sv
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  -
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-06
  - train_batch_size: 24
  - eval_batch_size: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | testset               | BLEU  | 
  |-----------------------|-------|
  | Tatoeba.en.sv 	| 67.28| 	
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  