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model.compile(optimizer='adam', loss='mse') # Define the early stopping callback early_stop = EarlyStopping(monitor='val_loss', patience=20, verbose=1, mode='min') # Train the model with early stopping callback history = model.fit(X_train, y_train, epochs=1000, batch_size=32, verbose=1,