---
license: apache-2.0
base_model: bmd1905/vietnamese-correction
tags:
- generated_from_trainer
model-index:
- name: my-vietnamese-correction
  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. -->

# my-vietnamese-correction

This model is a fine-tuned version of [bmd1905/vietnamese-correction](https://huggingface.co/bmd1905/vietnamese-correction) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7591
- Cer: 0.1234

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2