---
library_name: transformers
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: 0.2451
- Bleu Score: 75.278
- Gen Len: 13.1552

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
| 0.4411        | 1.0   | 524  | 0.2312          | 73.1491    | 13.12   |
| 0.1622        | 2.0   | 1048 | 0.2092          | 75.0481    | 13.1686 |
| 0.0756        | 3.0   | 1572 | 0.2150          | 75.2373    | 13.16   |
| 0.0336        | 4.0   | 2096 | 0.2451          | 75.278     | 13.1552 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.2