readme: ---
  license: apache-2.0
  language:
  - sv
  - sq
  tags:
  - generated_from_trainer
  - translation
  metrics:
  - bleu
  model-index:
  - name: mt-sq-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-sq-sv-finetuned
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-sq-sv](https://huggingface.co/Helsinki-NLP/opus-mt-sq-sv) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2250
  - Bleu: 47.0111
  
  ## 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
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.7042        | 1.0   | 4219  | 1.4806          | 41.9650 |
  | 1.5537        | 2.0   | 8438  | 1.3955          | 43.1524 |
  | 1.4352        | 3.0   | 12657 | 1.3142          | 44.4373 |
  | 1.3346        | 4.0   | 16876 | 1.2793          | 45.2265 |
  | 1.2847        | 5.0   | 21095 | 1.2597          | 45.8071 |
  | 1.2821        | 6.0   | 25314 | 1.2454          | 46.3737 |
  | 1.2342        | 7.0   | 29533 | 1.2363          | 46.6308 |
  | 1.2092        | 8.0   | 33752 | 1.2301          | 46.8227 |
  | 1.1766        | 9.0   | 37971 | 1.2260          | 46.9719 |
  | 1.1836        | 10.0  | 42190 | 1.2250          | 47.0111 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  