| --- |
| library_name: transformers |
| license: mit |
| base_model: vinai/bartpho-syllable |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bartede |
| 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. --> |
|
|
| # 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 |
| |
