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---
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
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