Finetuning was carried out over 100 epochs with a batch size of 4. The Adam optimizer was adopted for parameter updates, featuring a learning rate of 1e-4 and zero weight decay. The loss function (𝐿 *,, ) for finetuning was balanced equally between total energy and force predictions, with a ratio set of 1:1.