Simple way to get the best scores at the end of a training?
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
Some options:

print the scores in training_end
log them to the logger
access trainer.tqdm_metrics