---
library_name: transformers
base_model: nmthien/vietnamese-gpt2
tags:
- generated_from_trainer
model-index:
- name: vietnamese-gpt2
  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-gpt2

This model is a fine-tuned version of [nmthien/vietnamese-gpt2](https://huggingface.co/nmthien/vietnamese-gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1731

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3452        | 0.5   | 500  | 3.1901          |
| 3.3344        | 1.0   | 1000 | 3.1731          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2