This is a
DeBERTa-large model trained on the
Tweet-FID dataset (
"TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022 ) which is a collection of Twitter to detect incidents of foodborne illnesses.
The model is enriched with a binary classification head to perform the custom task called Text Relevance Classification (TRC).
The objective is to determine whether a given text is related to a food risk, identified as class_1, or not, class_0.
