Launch a mock training to find a good learning rate, return lr_min, lr_steep if `suggestions` is TRUE
lr_find(
  object,
  start_lr = 1e-07,
  end_lr = 10,
  num_it = 100,
  stop_div = TRUE,
  ...
)learner
starting learning rate
end learning rate
number of iterations
stop div or not
additional arguments to pass
data frame
if (FALSE) {
model %>% lr_find()
model %>% plot_lr_find(dpi = 200)
}