| --- |
| 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: 3.0338 |
|
|
| ## 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: 0.00015 |
| - 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: 18300 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:-----:|:---------------:| |
| | 3.2310 | 0.0546 | 1000 | 3.1417 | |
| | 3.2352 | 0.1093 | 2000 | 3.1292 | |
| | 3.2325 | 0.1639 | 3000 | 3.1168 | |
| | 3.2855 | 0.2186 | 4000 | 3.1082 | |
| | 3.1793 | 0.2732 | 5000 | 3.0997 | |
| | 3.2052 | 0.3279 | 6000 | 3.0917 | |
| | 3.2149 | 0.3825 | 7000 | 3.0852 | |
| | 3.1383 | 0.4372 | 8000 | 3.0775 | |
| | 3.1691 | 0.4918 | 9000 | 3.0718 | |
| | 3.2341 | 0.5464 | 10000 | 3.0647 | |
| | 3.2229 | 0.6011 | 11000 | 3.0598 | |
| | 3.1826 | 0.6557 | 12000 | 3.0539 | |
| | 3.1602 | 0.7104 | 13000 | 3.0485 | |
| | 3.2108 | 0.7650 | 14000 | 3.0441 | |
| | 3.1858 | 0.8197 | 15000 | 3.0407 | |
| | 3.1510 | 0.8743 | 16000 | 3.0375 | |
| | 3.1331 | 0.9290 | 17000 | 3.0355 | |
| | 3.1221 | 0.9836 | 18000 | 3.0338 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
|
|
