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XLM-RoBERTa Allergy Classifier
A multilingual allergy classification model trained on ingredient lists.
Model Details
- Base Model: xlm-roberta-base
- Epochs: 3
- Max Length: 128
- Batch Size: 8
- Learning Rate: 2e-5
Dataset
Custom allergy ingredient dataset containing food ingredient lists and allergy labels.
Use Case
This model is designed to identify potential allergens from ingredient text and can be integrated into food safety applications.
Author
Arfa Babar
BS Computer Science
GIFT University, Pakistan
Final Year Project: HalalScan
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