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Why used different methods to calculate loss-t for training and validation? #44

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Yuhan-Fei opened this issue Jul 2, 2024 · 0 comments

Yuhan-Fei commented Jul 2, 2024

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

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