On the SemEval-2025 food hazard detection task, Easy Data Augmentation outperformed oversampling and focal loss combinations, raising BERT's product-label accuracy from 0.22 to 0.55.
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Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
On the SemEval-2025 food hazard detection task, Easy Data Augmentation outperformed oversampling and focal loss combinations, raising BERT's product-label accuracy from 0.22 to 0.55.