Since you have a multi-label classification problem, you will most certainly use the  torch.nn.CrossEntropyLoss. In the documentation, it clearly states that if you want to provide class indices as labels, they should be between [0, C-1], where C is the number of classes. So yes, definitely transform your labels. One simple solution would be to simply add 1 to the labels you already have.