--- base_model: vinai/bartpho-syllable library_name: transformers license: mit tags: - generated_from_trainer model-index: - name: BARTBana results: [] --- # BARTBana This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6184 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.1847 | 1.0 | 13319 | 1.0153 | | 0.8204 | 2.0 | 26638 | 0.7092 | | 0.7208 | 3.0 | 39957 | 0.6224 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.1