--- library_name: transformers license: mit base_model: vinai/bartpho-syllable tags: - generated_from_trainer model-index: - name: bartede results: [] --- # bartede This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5850 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.06 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 7.9411 | 1.0 | 158 | 0.8584 | | 5.7966 | 2.0 | 316 | 0.6884 | | 4.6457 | 3.0 | 474 | 0.6328 | | 4.1820 | 4.0 | 632 | 0.6210 | | 3.8281 | 5.0 | 790 | 0.5837 | | 2.7451 | 6.0 | 948 | 0.5861 | | 2.3142 | 7.0 | 1106 | 0.6141 | | 1.8199 | 8.0 | 1264 | 0.6588 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2