---
license: mit
language:
- en
pipeline_tag: token-classification
---

## XLM-RoBERTa-large-tweet-fid-EMD

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.

The model is enriched with a multi class classification head to perform the custom task called Entity Mention Detection (EMD).
The objective is to determine predefined entities (*food*, *location*, *symptom*, *other*) in a given text related to a food risk.