What are the effective Evaluation Metrics for a classification model's Multilabel or Multioutput Targets?

Question

I'm working with a classification model with multioutput targets and the only classification metrics it supports are the accuracy score and the ROC & AUC score and the results are good at 80-90% on both metrics. I'm just curious if there are other classification metrics that support multioutput targets apart from the two mentioned above.