When I changed the objective from val_loss to val_accuracy, the value of "Best val_accuracy So Far" was wrong.
It displayed the maximum value of loss (only those which were smaller than 1)
# metrics was extracted from file `trial.json`
val_loss = np.array(metrics['list_val_loss'])
max(val_loss[val_loss < 1])
Bug Reproduction
You can try fitting the model with objective='val_loss', then stop the training process and change the objective to val_accuracy and the bug will appear.
I think that any data can be used to re-produce this error.
Expected Behavior
It should print out the accuracy instead of the loss value
Bug Description
When I changed the objective from
val_losstoval_accuracy, the value of "Best val_accuracy So Far" was wrong. It displayed the maximum value of loss (only those which were smaller than 1)Bug Reproduction
You can try fitting the model with
objective='val_loss', then stop the training process and change the objective toval_accuracyand the bug will appear.I think that any data can be used to re-produce this error.
Expected Behavior
It should print out the accuracy instead of the loss value
Setup Details
Include the details about the versions of: