readme: ---
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: fantastic4-finetuned-vi-to-en-PhoMT-demo-T5-NLPHUST-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. -->
  
  # fantastic4-finetuned-vi-to-en-PhoMT-demo-T5-NLPHUST-Small
  
  This model is a fine-tuned version of [NlpHUST/t5-vi-en-small](https://huggingface.co/NlpHUST/t5-vi-en-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Bleu: 0.0
  
  ## 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: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu |
  |:-------------:|:-----:|:----:|:---------------:|:----:|
  | 18.9866       | 1.0   | 2268 | nan             | 0.0  |
  | 0.0           | 2.0   | 4536 | nan             | 0.0  |
  | 0.0           | 3.0   | 6804 | nan             | 0.0  |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  