readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: VN_ja-en_byt5_small
    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_byt5_small
  
  This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0552
  
  ## 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: 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.1687        | 0.1   | 2000  | 1.1805          |
  | 0.9685        | 0.19  | 4000  | 1.1384          |
  | 0.8989        | 0.29  | 6000  | 1.1207          |
  | 0.8583        | 0.39  | 8000  | 1.1046          |
  | 0.833         | 0.49  | 10000 | 1.1290          |
  | 0.8102        | 0.58  | 12000 | 1.1225          |
  | 0.7932        | 0.68  | 14000 | 1.0956          |
  | 0.7776        | 0.78  | 16000 | 1.0970          |
  | 0.762         | 0.88  | 18000 | 1.0992          |
  | 0.7522        | 0.97  | 20000 | 1.0760          |
  | 0.7318        | 1.07  | 22000 | 1.0579          |
  | 0.7197        | 1.17  | 24000 | 1.0780          |
  | 0.7142        | 1.27  | 26000 | 1.0748          |
  | 0.7093        | 1.36  | 28000 | 1.0781          |
  | 0.7005        | 1.46  | 30000 | 1.0756          |
  | 0.6938        | 1.56  | 32000 | 1.0702          |
  | 0.6896        | 1.65  | 34000 | 1.0563          |
  | 0.6846        | 1.75  | 36000 | 1.0603          |
  | 0.6807        | 1.85  | 38000 | 1.0626          |
  | 0.6766        | 1.95  | 40000 | 1.0666          |
  | 0.6649        | 2.04  | 42000 | 1.0694          |
  | 0.6532        | 2.14  | 44000 | 1.0564          |
  | 0.6501        | 2.24  | 46000 | 1.0715          |
  | 0.6476        | 2.34  | 48000 | 1.0551          |
  | 0.646         | 2.43  | 50000 | 1.0601          |
  | 0.6445        | 2.53  | 52000 | 1.0595          |
  | 0.6404        | 2.63  | 54000 | 1.0494          |
  | 0.6378        | 2.72  | 56000 | 1.0584          |
  | 0.636         | 2.82  | 58000 | 1.0531          |
  | 0.6345        | 2.92  | 60000 | 1.0552          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  