---
tags:
- generated_from_trainer
model-index:
- name: DS-Chatbox-gpt2-vietnamese-V3
  results: []
---

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# DS-Chatbox-gpt2-vietnamese-V3

This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7322

## 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: 0.0015
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9759        | 0.66  | 1400  | 2.6781          |
| 2.5019        | 1.31  | 2800  | 2.4921          |
| 2.3352        | 1.97  | 4200  | 2.3726          |
| 2.0759        | 2.62  | 5600  | 2.3240          |
| 1.9303        | 3.28  | 7000  | 2.3279          |
| 1.7867        | 3.93  | 8400  | 2.2556          |
| 1.5133        | 4.59  | 9800  | 2.3424          |
| 1.3726        | 5.25  | 11200 | 2.5290          |
| 1.1925        | 5.9   | 12600 | 2.5132          |
| 1.0211        | 6.56  | 14000 | 2.7322          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3