You utilized a neural network training approach employing standard stochastic gradient descent $($SGD$)$ coupled with L$2-$weight regularization. The training involved four distinct learning rates $($lr$1,$ lr$2,$ lr$3,$ lr$4),$ as listed below, and the resultant loss curves were plotted $($as depicted further below$).$

Learning Rates:

lr$1=3$e$-4$

lr$2=4$e$-1$

lr$3=2$e$-5$

lr$4=8$e$-3$

Match each learning rate value to the most likely corresponding loss curve