Model selection of ETS framework and report

Greatest advantage of ETS framework is it selects the model automatically and generates report using report function. I want to extract smoothing parameters and plot it on the graph. How to extract the optimal smoothing parameters chosen by the model ?

sku1.fit <- sku1.data %>% model(ets=ETS(Sale..Qty))
sku1.fit
sku1.report = report(sku1.fit)
sku1.report

Output:
sku1.report = report(sku1.fit)
Series: Sale..Qty
Model: ETS(M,N,N)
Smoothing parameters:
alpha = 0.2577581 ( i want to extract this parameter and show it on the graph)

Initial states:
l[0]
414.6792

sigma^2: 0.0591

 AIC     AICc      BIC 

476.1558 476.9058 480.9064

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