---
license: mit
base_model: VietAI/ViT5-base
tags:
- generated_from_trainer
model-index:
- name: ViNormT5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ViNormT5

This model is a fine-tuned version of [VietAI/ViT5-base](https://huggingface.co/VietAI/ViT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2171
- Bleu Score: 75.3569
- Gen Len: 13.1514

## 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: 0.0002
- 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
| 0.4669        | 1.0   | 524  | 0.2426          | 73.5538    | 13.1838 |
| 0.1732        | 2.0   | 1048 | 0.2127          | 74.877     | 13.1457 |
| 0.0691        | 3.0   | 1572 | 0.2171          | 75.3569    | 13.1514 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1