point five even without training longer like the seven percent improvement just by adding the same details that simply are had which is using MLP heads cosine learning rate DK and you the extra data augmentations and from 67.5 in it can have another 3.5% improvement by by training longer so so at this stage South supervised learning is really at a stage where it the amount of engineering detail you pay attention to and the amount of trickery you add in terms of model optimizations and like using clever techniques like memory