the labels your performance from free training and then fine-tuning is better than just doing supervised learning so there is no argument to not use unsupervised learning because even if you have all the labels the performance you get by doing unsupervised learning and then performing supervised learning as a fine tuning step is higher than what do you get by just doing supervised learning and and it's it's uniformly consistent across all the label data regimes so here's like a good graph to understand how CPC version 1