question: Simple way to get the best scores at the end of a training?
context: What is your question?
  After a training, is there an easy way to get the best scores returned by the validation_end function? In order to use a hyperparameters optimizer like Tune.
  Code example
  model = CoolSystem()
  trainer = Trainer()    
  trainer.fit(model)   
  
  best_scores = ???
  print(best_scores)
  
  What's your environment?
  
  conda 4.7.10
  PyTorch 1.3.0
  Lightning 0.5.3.1
answer: Some options:
  
  print the scores in training_end
  log them to the logger
  access trainer.tqdm_metrics