Why used different methods to calculate loss-t for training and validation?

[Yuhan-Fei]

Thank you for the great works!

I wondering why you used different loss_t for training and validation or Is there any problem to use the same method to calculate the loss_t?

For training: loss_t = 0.5 * (error_t_lig + error_t_pocket)

For validaiton: loss_t = -self.T * 0.5 * SNR_weight * (error_t_lig + error_t_pocket)

I am looking forward your reply.

Best