It’s (I would say) not possible to get an accuracy less than by chance unless you train the network to properly classify items and later on switch classes.
This means, train the network to semantically learn that 1 is 2 and so on and later on just use the proper labels.
Think that if the network learn to missclasify it is implicitly learning to classify.