GoogleNet evaluation results

I implemented GoogleNet in python using the code lines provided in this link :

When, I want to eveluate the model using :
test_eval = model.evaluate(x_test, [y_test, y_test, y_test], verbose=0)
I got 7 values while I am expecting to have only 2: one for loss and one for accuracy.
Can anyone help understand what’s the meaning of the values I’ve got please?

The values are ::
test_eval = [0.6040912283817306, 0.19793552160263062, 0.19715620577335358, 0.2089994102716446, 0.9119687676429749, 0.913406252861023, 0.8989687561988831]

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