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model.eval()
with torch.inference_mode():
    test_inputs = (test_x - level_centre) / level_spread
    scaled_test_predictions = model(test_inputs)
    predicted_salaries = (
        scaled_test_predictions * salary_spread + salary_centre
    )
    absolute_error = nn.L1Loss()(predicted_salaries, test_y)

print(f"Held-out salary MAE: {absolute_error.item()}")