
There is a risk of overfitting the validation dataset [8] because of the repeated experiments. To mitigate some of the risk, we apply only training optimizations that provide a significant accuracy improvements and use K-fold cross validation to verify optimizations done on the validation set. Moreover we confirm that our recipe ingredients generalize well on other models for which we didn’t optimize the hyper-parameters.

Break down of key accuracy improvements