| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: vinai/bartpho-syllable |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: BartTay |
| | 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. --> |
| |
|
| | # BartTay |
| |
|
| | 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: 4.6886 |
| |
|
| | ## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 15 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 45 | 5.9733 | |
| | | No log | 2.0 | 90 | 5.9003 | |
| | | No log | 3.0 | 135 | 5.6155 | |
| | | No log | 4.0 | 180 | 5.5120 | |
| | | No log | 5.0 | 225 | 5.4180 | |
| | | No log | 6.0 | 270 | 5.1716 | |
| | | No log | 7.0 | 315 | 5.2570 | |
| | | No log | 8.0 | 360 | 5.0764 | |
| | | No log | 9.0 | 405 | 4.9511 | |
| | | No log | 10.0 | 450 | 4.8147 | |
| | | No log | 11.0 | 495 | 4.6616 | |
| | | 5.5211 | 12.0 | 540 | 4.7865 | |
| | | 5.5211 | 13.0 | 585 | 4.7858 | |
| | | 5.5211 | 14.0 | 630 | 4.7064 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.22.1 |
| | |
