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architecture) model_11 = tf.keras.models.clone_model(model_10) # Compile the cloned model (same setup as used for model_10) model_11.compile(loss="categorical_crossentropy", optimizer=tf.keras.optimizers.Adam(), metrics=["accuracy"]) # Fit the model history_11 = model_11.fit(train_data_augmented, #