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FeverBert-related is a classifier model that predicts if climate related evidence is related to query claim. The model achieved F1 score of 91.23% with test dataset "mwong/fever-evidence-related". Using pretrained ClimateBert-f model, the classifier head is trained on Fever dataset.

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Dataset used to train mwong/climatebert-base-f-fever-evidence-related