augment-sentiment-finnlp-th
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: 0.8684
- Accuracy: 0.7415
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7909 | 1.0 | 1024 | 0.8396 | 0.6304 |
| 0.6024 | 2.0 | 2048 | 0.6650 | 0.7267 |
| 0.4188 | 3.0 | 3072 | 0.6999 | 0.7489 |
| 0.2708 | 4.0 | 4096 | 0.8684 | 0.7415 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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