readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model_index:
  - name: opus-mt-ja-en-finetuned-ja-to-en_test
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      metric:
        name: Bleu
        type: bleu
        value: 80.2723
  ---
  
  <!-- 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. -->
  
  # opus-mt-ja-en-finetuned-ja-to-en_test
  
  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 unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4737
  - Bleu: 80.2723
  - Gen Len: 16.5492
  
  ## 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: 0.0002
  - train_batch_size: 32
  - eval_batch_size: 32
  - 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    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 1.1237        | 1.0   | 247  | 0.6131          | 60.9383 | 16.4152 |
  | 0.5395        | 2.0   | 494  | 0.5274          | 67.5705 | 16.2883 |
  | 0.3584        | 3.0   | 741  | 0.5122          | 71.3098 | 16.3777 |
  | 0.2563        | 4.0   | 988  | 0.4887          | 73.6639 | 16.401  |
  | 0.138         | 5.0   | 1235 | 0.4796          | 76.7942 | 16.4873 |
  | 0.0979        | 6.0   | 1482 | 0.4849          | 76.9404 | 16.6162 |
  | 0.0792        | 7.0   | 1729 | 0.4806          | 78.9831 | 16.5442 |
  | 0.0569        | 8.0   | 1976 | 0.4765          | 79.3461 | 16.4873 |
  | 0.0299        | 9.0   | 2223 | 0.4751          | 79.7901 | 16.4863 |
  | 0.0204        | 10.0  | 2470 | 0.4737          | 80.2723 | 16.5492 |
  
  
  ### Framework versions
  
  - Transformers 4.9.1
  - Pytorch 1.9.0+cu111
  - Datasets 1.10.2
  - Tokenizers 0.10.3
  