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## XLM-RoBERTa-large-tweet-fid-EMD
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This is a [XLM-RoBERTa-large](https://huggingface.co/xlm-roberta-large) model trained on the [Tweet-FID](https://arxiv.org/abs/2205.10726) 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.
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The model is enriched with a multi class classification head to perform the custom task called Entity Mention Detection (EMD).
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The objective is to determine predefined entities (*food*, *location*, *symptom*, *other*) in a given text related to a food risk.
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