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I am reading the pretraining and finetuning loss function and am trying to understand the implementation of this loss:
I think I have a general idea of implementation, but would like to confirm in case I am not missing any details.
The idea I have is as follows:
For each variable calculate the MAE loss
Multiply each variable loss by specific variable weight.
Sum loss of variables grouping by Surface variables and Atmospheric Variables separately
Multiply Surface and Atmospheric losses by alpha and beta weights respectively
Finally sum losses together and multiply by (dataset weight/(tot # variables in dataset)
The text was updated successfully, but these errors were encountered:
Hey @KennyWu! I think your interpretation of the equation is correct. :) Also don't forget the division by H x W and C x H x W, which are important to balance the atmospheric and surface-level variables.
I am reading the pretraining and finetuning loss function and am trying to understand the implementation of this loss:
I think I have a general idea of implementation, but would like to confirm in case I am not missing any details.
The idea I have is as follows:
For each variable calculate the MAE loss
Multiply each variable loss by specific variable weight.
Sum loss of variables grouping by Surface variables and Atmospheric Variables separately
Multiply Surface and Atmospheric losses by alpha and beta weights respectively
Finally sum losses together and multiply by (dataset weight/(tot # variables in dataset)
The text was updated successfully, but these errors were encountered: