|
--- |
|
library_name: transformers |
|
base_model: NlpHUST/gpt2-vietnamese |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: vietnamese-poem-hustgpt2-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-hustgpt2-namchu |
|
|
|
This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.6570 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 3.8677 | 1.0 | 2037 | 3.8531 | |
|
| 3.7534 | 2.0 | 4074 | 3.7680 | |
|
| 3.6882 | 3.0 | 6111 | 3.7256 | |
|
| 3.6229 | 4.0 | 8148 | 3.7001 | |
|
| 3.5661 | 5.0 | 10185 | 3.6829 | |
|
| 3.5535 | 6.0 | 12222 | 3.6715 | |
|
| 3.5146 | 7.0 | 14259 | 3.6635 | |
|
| 3.505 | 8.0 | 16296 | 3.6602 | |
|
| 3.4933 | 9.0 | 18333 | 3.6578 | |
|
| 3.4628 | 10.0 | 20370 | 3.6570 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu121 |
|
- Tokenizers 0.21.0 |
|
|