readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: VN_ja_to_en
    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. -->
  
  # VN_ja_to_en
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0411
  
  ## 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: 64
  - eval_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.0489        | 1.0   | 10276  | 2.0716          |
  | 1.9028        | 2.0   | 20552  | 2.0646          |
  | 1.812         | 3.0   | 30828  | 2.0525          |
  | 1.7531        | 4.0   | 41104  | 2.0487          |
  | 1.7083        | 5.0   | 51380  | 2.0375          |
  | 1.6717        | 6.0   | 61656  | 2.0415          |
  | 1.6354        | 7.0   | 71932  | 2.0398          |
  | 1.6146        | 8.0   | 82208  | 2.0390          |
  | 1.5972        | 9.0   | 92484  | 2.0391          |
  | 1.582         | 10.0  | 102760 | 2.0411          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  