Next we demonstrated the utility of our pre-training framework through a series of fine-tuning experiments on a diverse range of crystal property prediction tasks. These include lattice energy prediction, methane deliverable capacity prediction (298 K, pressure cycle of 65-5.8 bar), methane diffusivity prediction (298 K at infinite dilution) and charge mobility prediction, a task related to organic semiconductors. We also tested MCRT's predictive performance in ∆-E tasks; that is, the lattice energy difference between DFT and force field accuracy calculations, to assess its extrapolation to higher accuracy levels of energy prediction.