I used the ImageCleaner for cleaning up the data as suggested in lesson 2. However, when I try to fit the learner with the new databunch I have two issues.
Issue 1: as the model is fitting the valid_loss column shows #na# values. That does not happen with the data bunch previous to using ImageCleaner.
Issue 2: if I ignore the #na# values and try to use ClassificationInterpretation.from_learner(), then I get: “IndexError: index 0 is out of bounds for axis 0 with size 0”.
has anyone have the same problem?