Question about the test set of the GLUE benchmark

[James6Chou]

While reading the /examples/NLU/examples/text-classification/run_glue.py file, I noticed that the GLUE dataset only uses the validation set for generating results and does not measure accuracy on the evaluation set. Would it be better to evaluate the accuracy on the evaluation set using the model that performs best on the validation set in run_glue.py?