SIS provides an excellent metric for qualitatively assessing the model predictions. A SIS value less than 0.4 indicates a spectrum that has little to no predictive value. An SIS value from 0.40 -0.70 will have loosely predictive qualities where regions of absorbance are relatively consistent for major peaks. For predictions with SIS of 0.70 -0.85, the peak predictions of major peaks have improved, and smaller features are inconsistently predicted by the model. For SIS = 0.85 -0.95, the predictions of both major and minor peaks are accurate, with some small inconsistencies in the intensity profiles. For the range >0.95, the predicted spectra are almost perfectly predicted in a detailed manner, with only slight deviations from the ground truths. Baseline Correction. While peak exclusion of solvent matrices addresses the acute peaks introduced in condensed-phase spectra, it fails to address the systematic change to the baseline absorbance profile from variable solvents, instruments, and impurities. As shown in figure , spectra measured in the same condensed phase can sometimes have dramatically different baseline noise profiles, meaning that baselines may not be consistently learnable.