---
library_name: transformers
license: apache-2.0
base_model: bmd1905/vietnamese-correction-v2
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: vietnamese-correction-finetuning
  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. -->

# vietnamese-correction-finetuning

This model is a fine-tuned version of [bmd1905/vietnamese-correction-v2](https://huggingface.co/bmd1905/vietnamese-correction-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0479
- Sacrebleu: 98.4865

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 100000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step   | Validation Loss | Sacrebleu |
|:-------------:|:--------:|:------:|:---------------:|:---------:|
| 0.0015        | 19.0840  | 5000   | 0.0479          | 98.4865   |
| 0.0009        | 38.1679  | 10000  | 0.0527          | 98.4236   |
| 0.0004        | 57.2519  | 15000  | 0.0565          | 98.4868   |
| 0.0005        | 76.3359  | 20000  | 0.0592          | 98.4490   |
| 0.0001        | 95.4198  | 25000  | 0.0635          | 98.4469   |
| 0.0005        | 114.5038 | 30000  | 0.0618          | 98.4037   |
| 0.0002        | 133.5878 | 35000  | 0.0683          | 98.2704   |
| 0.0001        | 152.6718 | 40000  | 0.0692          | 98.3530   |
| 0.0001        | 171.7557 | 45000  | 0.0645          | 98.4299   |
| 0.0002        | 190.8397 | 50000  | 0.0706          | 98.3816   |
| 0.0002        | 209.9237 | 55000  | 0.0683          | 98.3817   |
| 0.0001        | 229.0076 | 60000  | 0.0692          | 98.4246   |
| 0.0           | 248.0916 | 65000  | 0.0764          | 98.2300   |
| 0.0001        | 267.1756 | 70000  | 0.0706          | 98.3508   |
| 0.0           | 286.2595 | 75000  | 0.0711          | 98.3797   |
| 0.0           | 305.3435 | 80000  | 0.0727          | 98.4148   |
| 0.0           | 324.4275 | 85000  | 0.0744          | 98.3722   |
| 0.0           | 343.5115 | 90000  | 0.0723          | 98.3660   |
| 0.0           | 362.5954 | 95000  | 0.0760          | 98.3158   |
| 0.0           | 381.6794 | 100000 | 0.0763          | 98.3326   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.4.2
- Tokenizers 0.22.2