readme: ---
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: VietAI-NLP-ITN
    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. -->
  
  # VietAI-NLP-ITN
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4378
  - Bleu: 81.8571
  
  ## 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: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.2
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Bleu    |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|
  | 0.6529        | 1.0   | 31250  | 0.5660          | 78.7315 |
  | 0.5125        | 2.0   | 62500  | 0.4770          | 81.3979 |
  | 0.4798        | 3.0   | 93750  | 0.4554          | 81.6720 |
  | 0.4568        | 4.0   | 125000 | 0.4435          | 81.7753 |
  | 0.4387        | 5.0   | 156250 | 0.4378          | 81.8571 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.10.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  