bert-base-th-cased-intent-booking

This model is a fine-tuned version of Geotrend/bert-base-th-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2707
• Accuracy: 0.9234
• F1: 0.9209
• Precision: 0.9322
• Recall: 0.9234

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: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 64
• num_epochs: 3

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1