callbacks.py

checkpoint = tf.keras.callbacks.ModelCheckpoint(save_dir+model_name, monitor='val_accuracy', verbose=1, 
                             save_best_only=True, mode='max')

reduce_lr = tf.keras.callbacks.ReduceLROnPlateau(monitor='val_accuracy', factor=0.5, patience=4, 
                                   verbose=1, mode='max', min_lr=0.00001)
                              
early_stop = tf.keras.callbacks.EarlyStopping(monitor="val_loss", mode="min", patience=5)

callbacks_list = [checkpoint, reduce_lr, early_stop, bot_callback, plotter]