With the trained CCDC base model in hand, the final output layer was discarded and replaced with a new, untrained feedforward neural network. This new network was shallow (2 linear layers) and small (~130K parameters) to allow for rapid and facile training towards other chemistry-centric tasks. The pretrained layers, the bulk of this system, are "frozen": no additional training is performed upon them. For the following examples, little to no further hyperparameter optimization was conducted to highlight the ease of translation from base model to finetuned model (Figure ).