The graph and table depict a simplified summary of the most important iterations for improving the accuracy of the MobileNetV3 Large variant. Note that the actual number of iterations done while training the model was significantly larger and that the progress in accuracy was not always monotonically increasing. Also note that the Y-axis of the graph starts from 70% instead from 0% to make the difference between iterations more visible:






Iteration
Acc@1
Acc@5




Baseline with "MobileNetV2-style" Hyperparams
71.542
90.068


+ RMSProp with default eps
70.684
89.38


+ RMSProp with adjusted eps & LR scheme
71.764
90.178


+ Data Augmentation & Tuned Hyperparams
73.86
91.292


