readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model_index:
  - name: opus-mt-ja-en-finetuned-ja-to-en_xml
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      metric:
        name: Bleu
        type: bleu
        value: 73.8646
  ---
  
  <!-- 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_xml
  
  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: 0.7520
  - Bleu: 73.8646
  - Gen Len: 27.0884
  
  ## 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: 8
  - eval_batch_size: 8
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 1.0512        | 1.0   | 748  | 0.8333          | 59.8234 | 27.905  |
  | 0.6076        | 2.0   | 1496 | 0.7817          | 62.5606 | 26.1834 |
  | 0.4174        | 3.0   | 2244 | 0.7817          | 64.8346 | 28.2918 |
  | 0.2971        | 4.0   | 2992 | 0.7653          | 67.6013 | 27.2222 |
  | 0.2172        | 5.0   | 3740 | 0.7295          | 69.4017 | 27.0174 |
  | 0.1447        | 6.0   | 4488 | 0.7522          | 68.8355 | 28.2865 |
  | 0.0953        | 7.0   | 5236 | 0.7596          | 71.4743 | 27.1861 |
  | 0.0577        | 8.0   | 5984 | 0.7469          | 72.0684 | 26.921  |
  | 0.04          | 9.0   | 6732 | 0.7526          | 73.2821 | 27.1365 |
  | 0.0213        | 10.0  | 7480 | 0.7520          | 73.8646 | 27.0884 |
  
  
  ### Framework versions
  
  - Transformers 4.9.1
  - Pytorch 1.10.0+cu111
  - Datasets 1.10.2
  - Tokenizers 0.10.3
  