readme: ---
  license: apache-2.0
  language:
  - lt
  - sv
  tags:
  - generated_from_trainer
  - translation
  metrics:
  - bleu
  model-index:
  - name: mt-lt-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-lt-sv-finetuned
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-lt-sv](https://huggingface.co/Helsinki-NLP/opus-mt-lt-sv) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1276
  - Bleu: 43.0025
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.3499        | 1.0   | 4409  | 1.2304          | 40.3211 |
  | 1.2442        | 2.0   | 8818  | 1.1870          | 41.4633 |
  | 1.1875        | 3.0   | 13227 | 1.1652          | 41.9164 |
  | 1.1386        | 4.0   | 17636 | 1.1523          | 42.3534 |
  | 1.0949        | 5.0   | 22045 | 1.1423          | 42.6339 |
  | 1.0739        | 6.0   | 26454 | 1.1373          | 42.7617 |
  | 1.0402        | 7.0   | 30863 | 1.1324          | 42.8568 |
  | 1.0369        | 8.0   | 35272 | 1.1298          | 42.9608 |
  | 1.0138        | 9.0   | 39681 | 1.1281          | 42.9833 |
  | 1.0192        | 10.0  | 44090 | 1.1276          | 43.0025 |
  
  
  ### Framework versions
  
  - Transformers 4.25.0.dev0
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  