In Machine Learning for Audio Classification, in stage of taring our model we stuck with an error

[Ehijas]

Error note

 raise ValueError("Shapes %s and %s are incompatible" % (self, other))

ValueError: Shapes (None, 10) and (None, 2) are incompatible

required python code

from tensorflow.keras.callbacks 
import ModelCheckpoint
from datetime import datetime 

num_epochs = 200
num_batch_size = 32

checkpointer = ModelCheckpoint(filepath='saved_models/audio_classification.hdf5', 
                               verbose=1, save_best_only=True)
start = datetime.now()

model.fit(X_train, y_train, batch_size=num_batch_size, epochs=num_epochs, validation_data=(X_test, y_test), callbacks=[checkpointer], verbose=1)


duration = datetime.now() - start
print("Training completed in time: ", duration)