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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
The text was updated successfully, but these errors were encountered:
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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
The text was updated successfully, but these errors were encountered: