extractor setting where you sort of freeze things and then just retrain some of the top they also tried left fine-tuning setting where you sort of trained everything and they were also of course comparing to training from from scratch in these settings and so yeah the kind of exact results vary a little bit I think your fine-tuning maybe you have like slightly less sensitivity to some of these these settings particularly for larger target datasets but yeah they try everything so definitely worth reading so this is all