readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: VN_ja-en_helsinki
    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-en_helsinki
  
  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: 2.2409
  - BLEU: 15.28
  
  ## 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: 0.0003
  - 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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.6165        | 0.19  | 2000  | 2.6734          |
  | 2.3805        | 0.39  | 4000  | 2.6047          |
  | 2.2793        | 0.58  | 6000  | 2.5461          |
  | 2.2028        | 0.78  | 8000  | 2.5127          |
  | 2.1361        | 0.97  | 10000 | 2.4511          |
  | 1.9653        | 1.17  | 12000 | 2.4331          |
  | 1.934         | 1.36  | 14000 | 2.3840          |
  | 1.9002        | 1.56  | 16000 | 2.3901          |
  | 1.87          | 1.75  | 18000 | 2.3508          |
  | 1.8408        | 1.95  | 20000 | 2.3082          |
  | 1.6937        | 2.14  | 22000 | 2.3279          |
  | 1.6371        | 2.34  | 24000 | 2.3052          |
  | 1.6264        | 2.53  | 26000 | 2.3071          |
  | 1.6029        | 2.72  | 28000 | 2.2685          |
  | 1.5847        | 2.92  | 30000 | 2.2409          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  