banks and doing very well on large batch training what data augmentations you use what is the learning rate decays or optimizers those are really the most important parts and getting state-of-the-art numbers and it's only a matter of time before like it's gonna match the results of supervised learning on all these benchmarks like seventy one point files still not as good as 76% so that's still some gap to close in but the the rate of progress is because it's just been two or three months since all these papers came out and it's been