Is it possible to use a different metric in early_stopping and ModelCheckpoint?

I’m using the tensorflow functions checkpoint and early stopping.

Can I use ‘val accuracy’ in checkpoint to  and ‘val loss’ in early stopping? or  Should I use the same metric in both functions?

checkpoint = callbacks.ModelCheckpoint('', monitor='val_accuracy',
                                           save_best_only=True, save_weights_only=True, verbose=1) 

early_stopping = EarlyStopping(monitor='val_loss', patience=2)