In Fig. we present the results for the entire test dataset for the TS and NWT metrics. Spectro accurately predicts 88% of molecules (TS = 1) when trained with fixed embeddings from IR, 1 H, and 13 C NMR data, and the accuracy improves to 93% when jointly trained with j-IR-vis (Fig. ). A similar accuracy is observed using the NWT metric, with Spectro making no token prediction errors for 91% of the test molecules. Joint training of Spectro provides further insight into molecular structure through fine-tuning of j-IR-vis. Furthermore, Spectro achieved 90.42% and 95.61% on Top-1 and Top-2 sequence-wise accuracy, respectively. Spectro predicts more than four tokens in only 1.4% of the test data (see the insight in Fig. ). Finally, Fig. (b) and Fig. (e) in the SM showcase some of Spectro's predictions for the test molecules when using only NMR data, compared to when both IR and NMR embeddings are combined.