sports-facility-intent-classification

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sports-facility-intent-classification

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: 0.0053
• F1 Micro: 0.9996
• Precision Micro: 0.9993
• Recall Micro: 1.0
• F1 Macro: 0.9996
• Precision Macro: 0.9993
• Recall Macro: 1.0
• F1 Samples: 0.9997
• Exact Match: 0.999
• Hamming Loss: 0.0003
• F1 Feedback: 1.0
• F1 Complaint: 0.9985
• F1 Question: 1.0
• F1 Off-topic: 1.0

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1