Unlabeled entries in evaluation subset?
The tutorial for prompt based tuningPrompt-based methodsusestwitter_complaintssubset ofought/raft. But from what I can see all of the entries in thetest splitareUnlabeled.How are the evaluation metrics supposed to work in that case? If the trained model correctly predicts the label, it will be compared withUnlabeledground truth, so the metrics will become meaningless.Or is there something happening with the evaluation that I don’t quite get?