fine-tuned it because you know supervised learning is tricky and it learns to exploit spurious correlations and dependencies so we're only ever saying well you did all your pre training work and we had you predict a bunch of words how well can you handle this new data distribution you've not only never seen before I mean really you know we trained on a lot of data so we actually see a bit of a lot of data distributions you're not letting it like specifically turn specific tasks but that specific label we're just saying run it and see what I