As pointed out at the beginning of Section 5, our biggest models take months to train, making training multiple versions of them impractical.
we trained our smallest model (h = 100, p = 10) ten times and our second smallest model (h = 256, p = 64) five times and observed that as the number of parameters increased, the standard deviation of F 1 decreased from 0.008 to 0.003.