classification task and the answer is here they say on C 410 we achieve 60 96.3% accuracy with a linear probe outperforming a super wide supervised the wide ResNet and the 99 cent accuracy with full fine tuning matching the top supervisor pre-trained models an even larger model trained on a mixture of imagenet and web images is competitive with self supervised benchmarks on image net achieving 72 top one accuracy on a linear probe of our features so the goal here is that you have a data set that you want to trend