---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: EN-VI-Machine-Translation-RNN
  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. -->

# EN-VI-Machine-Translation-RNN

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7148

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1067        | 1.0   | 521  | 1.1409          |
| 0.9338        | 2.0   | 1042 | 0.7844          |
| 0.8163        | 3.0   | 1563 | 0.7367          |
| 0.7872        | 4.0   | 2084 | 0.7194          |
| 0.777         | 5.0   | 2605 | 0.7148          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0