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First of all, thank you for making this library and helping others to perform HPO. I have a few doubts regarding this. As I am trying to perform HPO for one of my project where I am doing finetuning of ResNet50 on ImageNet-100 and want to train it for say 20 epochs and want to optimize hyperparameters like lr, step_lr, step_lr_gamma, etc. So here I am a bit confused about the min_fidility, max_fidility, total_cost, and cost. So currently I have taken these values as -
min_fidility = 2
max_fidility = 20
total_cost = 70000
cost = end_time-start_time
I am bit confused if this will give it enough configurations to evaluate the best set of hyperparameters.
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