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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
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