that these models could get quite far and so you see in the limit that you know if you you kind of have all of your different baselines here of you know word vectors feeding as inputs but then we could use like a sequence auto encoder or sequence language model and fine-tune that and you start getting quite large drops here and what's kind of cool here is these two different rows here one of these is pre-training only on the IMDB movie reviews so basically the same data set it's a two-stage algorithm and then this third table here