We trained the Uni-Mol using the Adam optimizer with a learning rate set to 0.0001. The training process lasted for approximately 40 epochs, during which 15% of the atoms were masked. The batch size was set to 128, and the model consisted of 15 layers. Training was conducted on 8 Tesla-A100-80G GPUs.