readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: SUBTITLE_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. -->
  
  # SUBTITLE_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: 5.4097
  
  ## 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: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.025         | 0.05  | 2000  | 5.1692          |
  | 2.9548        | 0.09  | 4000  | 5.7128          |
  | 2.8762        | 0.14  | 6000  | 5.9297          |
  | 2.821         | 0.18  | 8000  | 6.0415          |
  | 2.7826        | 0.23  | 10000 | 6.0416          |
  | 2.7386        | 0.27  | 12000 | 6.0069          |
  | 2.7036        | 0.32  | 14000 | 6.0192          |
  | 2.678         | 0.37  | 16000 | 5.9286          |
  | 2.6499        | 0.41  | 18000 | 5.9587          |
  | 2.6261        | 0.46  | 20000 | 5.9044          |
  | 2.6032        | 0.5   | 22000 | 5.8482          |
  | 2.5708        | 0.55  | 24000 | 5.7760          |
  | 2.5517        | 0.59  | 26000 | 5.7546          |
  | 2.5336        | 0.64  | 28000 | 5.7447          |
  | 2.5196        | 0.69  | 30000 | 5.7373          |
  | 2.4957        | 0.73  | 32000 | 5.6429          |
  | 2.483         | 0.78  | 34000 | 5.6874          |
  | 2.4599        | 0.82  | 36000 | 5.6482          |
  | 2.4468        | 0.87  | 38000 | 5.5951          |
  | 2.4344        | 0.92  | 40000 | 5.6355          |
  | 2.4223        | 0.96  | 42000 | 5.6135          |
  | 2.3878        | 1.01  | 44000 | 5.6164          |
  | 2.294         | 1.05  | 46000 | 5.5802          |
  | 2.2896        | 1.1   | 48000 | 5.5924          |
  | 2.2815        | 1.14  | 50000 | 5.5296          |
  | 2.2702        | 1.19  | 52000 | 5.5119          |
  | 2.2741        | 1.24  | 54000 | 5.4775          |
  | 2.2586        | 1.28  | 56000 | 5.4663          |
  | 2.2492        | 1.33  | 58000 | 5.4764          |
  | 2.2411        | 1.37  | 60000 | 5.4444          |
  | 2.2275        | 1.42  | 62000 | 5.4566          |
  | 2.218         | 1.46  | 64000 | 5.4845          |
  | 2.2086        | 1.51  | 66000 | 5.4681          |
  | 2.1976        | 1.56  | 68000 | 5.4775          |
  | 2.1877        | 1.6   | 70000 | 5.4619          |
  | 2.177         | 1.65  | 72000 | 5.4621          |
  | 2.1722        | 1.69  | 74000 | 5.4322          |
  | 2.1599        | 1.74  | 76000 | 5.4348          |
  | 2.1475        | 1.78  | 78000 | 5.4432          |
  | 2.1477        | 1.83  | 80000 | 5.4239          |
  | 2.134         | 1.88  | 82000 | 5.4182          |
  | 2.1302        | 1.92  | 84000 | 5.4089          |
  | 2.125         | 1.97  | 86000 | 5.4097          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  