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Training/Validation F1 Score for a neural network with randomly rearranged channels on each minibatch and a random rescale factor of 1.5. These learning curves show that validation seizure F1 score increases rapidly before showing overfitting. Interestingly, the session identification accuracy increases before decreasing.
