readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
    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. -->
  
  # finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3069
  - Bleu: 42.4251
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Bleu    |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|
  | 1.4437        | 1.0   | 186125 | 1.3648          | 40.6353 |
  | 1.3748        | 2.0   | 372250 | 1.3362          | 41.4991 |
  | 1.3182        | 3.0   | 558375 | 1.3224          | 41.9860 |
  | 1.2829        | 4.0   | 744500 | 1.3113          | 42.2649 |
  | 1.2641        | 5.0   | 930625 | 1.3069          | 42.4233 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.10.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  