datagen.py

from keras.preprocessing.image import ImageDataGenerator

# create a new generator
imagegen = ImageDataGenerator()
# load train data
train = imagegen.flow_from_directory("imagenette2/train/", class_mode="categorical", shuffle=False, batch_size=128, target_size=(224, 224))
# load val data
val = imagegen.flow_from_directory("imagenette2/val/", class_mode="categorical", shuffle=False, batch_size=128, target_size=(224, 224))

can you provide the code for testing accuracy of the model as i have used imagedatagenerator
i m confused about validation data
.isnt it the test data . but u have used it as validation data . and after training the model u need to test the model model and what data will u used to test it as u have already usedd the test data as validation data