metadata
library_name: transformers
base_model: NlpHUST/gpt2-vietnamese
tags:
- generated_from_trainer
model-index:
- name: vietnamese-poem-hustgpt2-namchu
results: []
datasets:
- phamson02/vietnamese-poetry-corpus
vietnamese-poem-hustgpt2-namchu
This model is a fine-tuned version of NlpHUST/gpt2-vietnamese on phamson02/vietnamese-poetry-corpus. 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