fined-tune-thai-sentiment
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4121
- eval_model_preparation_time: 0.0134
- eval_accuracy: {'accuracy': 0.8562874251497006}
- eval_f1score: {'f1': 0.8323646257901379}
- eval_runtime: 16.0554
- eval_samples_per_second: 10.402
- eval_steps_per_second: 1.308
- step: 0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 415
- num_epochs: 10
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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