I have been using fastai tabular learner is some competitions and am getting pretty good scores. But, I am not getting the best scores. While using other algorithms like XGBoost and LightGBM, to get excellent score we need to a lot of parameter fine tuning. In fastai, the only fine tuning I could understand from Jeremy’s lessons is setting the Learning Rate. Are these any other parameters we can fine tune? And how do we do it? The LR is the most important parameter but what are the other parameters that impact the accuracy?