ClimateAlbert is a classifier model that predicts if climate related evidence is related to query claim. The model achieved F1 score of 85.33% with test dataset "mwong/climate-claim-related". Using pretrained albert-base-v2 model, the classifier head is trained on Fever dataset and adapted to climate domain using ClimateFever dataset.
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo mwong/albert-base-climate-claim-related ./model-folder