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 # Twitter-roBERTa-base for Offensive Language Identification
 
-This is a roBERTa-base model trained on ~58M tweets and finetuned for the Offensive Language Identification task at Semeval 2019. 
-For full description: [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf). 
-To evaluate this and other models on Twitter-specific data, please refer to the [Tweeteval official repository](https://github.com/cardiffnlp/tweeteval).
+This is a roBERTa-base model trained on ~58M tweets and finetuned for offensive language identification with the TweetEval benchmark.
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+- Paper: [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf). 
+- Git Repo: [Tweeteval official repository](https://github.com/cardiffnlp/tweeteval).
 
 ## Example of classification