How to benchmark my loss function with sciml_train using different optimizers?

General Usage
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Does anyone know some good way to benchmark my loss function trained with sciml_train using different optimizers? Just like the way that WorkPrecisionSet() can do to show the performance differences due to using different algorithms as below:

setups = [Dict(:alg=>BS3()),
          Dict(:alg=>Tsit5()),
          Dict(:alg=>RK4()),
          Dict(:alg=>DP5()),]
wp = WorkPrecisionSet(prob,abstols,reltols,setups;
                      appxsol=test_sol,maxiters=Int(1e5),error_estimate=:L2)
plot(wp)

Is there some suitable function to treat my loss as argument to do so?
By the way, if you are familiar with sciml_train, could you also recommend me some other fast optimizers like ADAM?

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:confused: