Update README.md

README.md

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 pipeline_tag: text-classification
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-## xlm-RoBERTa-large-tweet-fid-TRC
+## XLM-RoBERTa-large-tweet-fid-TRC
 
-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.
+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 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*.