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twitter-roberta-base-jun2022_sem_eval_2018_task_1

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  # Twitter-roBERTa-base-jun2022_sem_eval_2018_task1
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- This model was trained on ~7000 tweets in English annotated for 11 emotion categories in [SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification](https://competitions.codalab.org/competitions/17751) (also available on the [Hugging Face Model Hub](https://huggingface.co/datasets/sem_eval_2018_task_1)).
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  The underlying model is a RoBERTa-base model trained on 132.26M tweets until the end of June 2022. Fore more details check out the [model page](https://huggingface.co/cardiffnlp/twitter-roberta-base-jun2022).
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  # Twitter-roBERTa-base-jun2022_sem_eval_2018_task1
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+ This model was trained on ~7000 tweets in English annotated for 11 emotion categories in [SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification](https://competitions.codalab.org/competitions/17751) (also available on the [Hugging Face Dataset Hub](https://huggingface.co/datasets/sem_eval_2018_task_1)).
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  The underlying model is a RoBERTa-base model trained on 132.26M tweets until the end of June 2022. Fore more details check out the [model page](https://huggingface.co/cardiffnlp/twitter-roberta-base-jun2022).
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