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FeverRoberta

FeverRoberta is a classifier model that predicts if evidence is related to query claim. The model achieved F1 score of 92.67% with test dataset "mwong/fever-evidence-related". Using pretrained roberta-base model, the classifier head is trained on Fever dataset.

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Dataset used to train mwong/roberta-base-fever-evidence-related