wangchan-sentiment-thai-text-model
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5849
- Accuracy: 0.7535
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6445 | 1.0 | 3822 | 0.6295 | 0.7309 |
| 0.5865 | 2.0 | 7644 | 0.5855 | 0.7430 |
| 0.5285 | 3.0 | 11466 | 0.5754 | 0.7455 |
| 0.5127 | 4.0 | 15288 | 0.5816 | 0.7492 |
| 0.4861 | 5.0 | 19110 | 0.5849 | 0.7535 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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