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.