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