---
library_name: transformers
license: openrail
base_model: VietAI/envit5-translation
tags:
- generated_from_trainer
model-index:
- name: envit5-translation-finetuned
  results: []
datasets:
- talmp/en-vi-translation
pipeline_tag: translation
---

<!-- 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. -->

# envit5-translation-finetuned

This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/VietAI/envit5-translation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1445

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1691        | 1.0   | 2000 | 0.1406          |
| 0.1175        | 2.0   | 4000 | 0.1400          |
| 0.0917        | 3.0   | 6000 | 0.1445          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0