According to torch.optim.lr_scheduler.ReduceLROnPlateau ,
mode (str) – One of min, max. In min mode, lr will be reduced when the quantity monitored has stopped decreasing; in max mode it will be reduced when the quantity monitored has stopped increasing. Default: ‘min’.
However, what is the quantity monitored? How to set this value?
In Keras, this function specifies very clearly:
keras.callbacks.ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=10)