transformers pytorch t5 text2text-generation translation generated_from_trainer autotrain_compatible text-generation-inference endpoints_compatible region:us
---
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: fantastic4-finetuned-vi-to-en-PhoMT-demo-T5-NLPHUST-Small
  results: []
---

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# 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
