To assess efficacy of the proposed hierarchical transfer learning capability, three models were generated, henceforth referred to as "Standard", "Hierarch," and "Partial" for models fit using the standard a-la-carte approach, the new hierarchical transfer learning strategy, or a partial hierarchical strategy where two parameter blocks are learned simultaneously, respectively. We begin by comparing model performance relative to DFT, for C/N systems, and then extend our study to pure C and pure N.