We tested several binning resolutions. Surprisingly, very coarse binning worked just as well as finer binning. After training, using 8 bins yielded similar accuracy to 16 bins. Using 4 bins was slightly worse than 8 bins, but the difference was very small, less than 0.1% in accuracy. Bin sizes of 2 or 3 worked but had more noticeable losses in accuracy. Thus, we chose to train the model at both a 4-and 8-bin size resolution, where the resolution of 4 bins is slightly faster, and 8 bins is slightly more accurate.