Hi there,
I can’t get multi-label classification working either, but @bartolsthoorn and @mratsim have found possible ways to do it here

  
    
    
    Calculating accuracy for a multi-label classification problem vision
  
  
    I came up with the answer: torch.sigmoid(classified_labels).data > 0.5 will give the correct labels with MultiLabelSoftMarginLoss().
  


hope that helps?
Aj