pytorch-forecasting
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Val_loss Calculation with Multiple Validation Sets in Sliding Window Technique and Early Stopping
Hi,
I am using the sliding window technique for training, along with early stopping based on validation loss. Given that this approach results in multiple validation sets, I'm wondering how the val_loss used for early stopping is calculated per epoch. Is it the average of the validation losses across all validation sets?
Thanks!