---
library_name: transformers
license: mit
base_model: danghuy1999/gpt2-viwiki
tags:
- generated_from_trainer
model-index:
- name: vietnamese-poem-gpt2-namchu
  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-poem-gpt2-namchu

This model is a fine-tuned version of [danghuy1999/gpt2-viwiki](https://huggingface.co/danghuy1999/gpt2-viwiki) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2277

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.9894        | 1.0   | 2037  | 4.8025          |
| 4.7181        | 2.0   | 4074  | 4.5903          |
| 4.5653        | 3.0   | 6111  | 4.4569          |
| 4.4342        | 4.0   | 8148  | 4.3877          |
| 4.352         | 5.0   | 10185 | 4.3295          |
| 4.307         | 6.0   | 12222 | 4.2892          |
| 4.2481        | 7.0   | 14259 | 4.2575          |
| 4.233         | 8.0   | 16296 | 4.2448          |
| 4.2036        | 9.0   | 18333 | 4.2317          |
| 4.18          | 10.0  | 20370 | 4.2277          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0