classification-model-house-assistance-phayathaibert

This model is a fine-tuned version of clicknext/phayathaibert on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6620
• Accuracy: 0.9524

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: 2e-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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9901	1.0	23	1.1249	0.8571
0.865	2.0	46	0.7601	0.9048
0.6493	3.0	69	0.6620	0.9524

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1