Builtin metrics for Sparse Categorical Cross Entropy
working with TFDistil+BertFor+Sequence+Classification on a text classification problem.  Using Sparse Categorical Crossentropy loss.  Seems like the only working builtin metrics is “accuracy”.  Any pointers on how to use metrics such as “precision” or “recall”?  The dataset is very imbalanced.