have a small labelled set so you have only a few examples that have labelled labels you want to avoid your model overfitting on those at the beginning of the training so they suggest using this exponential schedule for for the case where you have a low number of labeled examples and so yeah the idea is at the beginning you you won't be feeding as much signal from those samples to your loss function but by the end you can start releasing more and more of it once more of the unlabeled data has been incorporated