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This model aims at classifying arabic text into its corresponding set of emotions by fine-tuning a variant of BERT pre-trained on arabic twitter data.

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Evaluation

Jaccard accuracy is the main eval metric and the model achieved 56.12%

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Dataset used to train saadMouraf/bert-based-emotion-detection-ar