Figure 8:

Loss (left), accuracy (middle) and calibration on SNLI with pre-trained BERT, batch size 32, learning rate 0.0005, noise scale 0.4, clipping norm are 0.1 or $20,(ϵ,\delta )=(\mathrm{1.25,1}/550152)$.