| --- |
| library_name: transformers |
| base_model: clicknext/phayathaibert |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Sentiment_PhayaThaiBERT |
| 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. --> |
|
|
| # Sentiment_PhayaThaiBERT |
| |
| This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4796 |
| - Accuracy: 0.7420 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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: 7 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6755 | 1.0 | 512 | 0.7123 | 0.6874 | |
| | 0.5049 | 2.0 | 1024 | 0.7168 | 0.7147 | |
| | 0.3099 | 3.0 | 1536 | 0.8684 | 0.7369 | |
| | 0.2249 | 4.0 | 2048 | 1.0743 | 0.7369 | |
| | 0.1696 | 5.0 | 2560 | 1.2089 | 0.7267 | |
| | 0.1126 | 6.0 | 3072 | 1.3945 | 0.7443 | |
| | 0.0709 | 7.0 | 3584 | 1.4796 | 0.7420 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
|
|
