save only the best Model

train_classifier.py

@@ -121,7 +121,7 @@ model.compile(optimizer=RMSprop())
 
 callbacks = [
     ModelCheckpoint(
-        filepath= str(checkpoint_path) + '/model.{epoch:03d}-{val_loss:.3f}.hdf5',
+        filepath= str(checkpoint_path) + '/best_model.hdf5',
         # Path where to save the model
         # The two parameters below mean that we will overwrite
         # the current checkpoint if and only if