--- library_name: transformers base_model: NlpHUST/gpt2-vietnamese tags: - generated_from_trainer model-index: - name: vietnamese-poem-hustgpt2-lucbat results: [] datasets: - phamson02/vietnamese-poetry-corpus --- # vietnamese-poem-hustgpt2-lucbat This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on [phamson02/vietnamese-poetry-corpus](https://huggingface.co/datasets/phamson02/vietnamese-poetry-corpus). It achieves the following results on the evaluation set: - Loss: 3.7802 ## 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: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 3.878 | 1.0 | 17989 | 3.8761 | | 3.7714 | 2.0 | 35978 | 3.7996 | | 3.7267 | 3.0 | 53967 | 3.7802 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0