Run_glue.py provides higher GLUE score on bert-base-uncased
According totransformers/README.md at main · huggingface/transformers · GitHub, I runrun_glue.pyfor bert-base-uncased. I got similar number as in the README.md table. However, many tasks scores are much higher than the numbers reported in the Bert paperhttps://arxiv.org/pdf/1810.04805.pdf.For example, Matthews corr of CoLA is 56.53 on README.md, and is 57.78 for my finetuned results using run_glue.py, but is only  52.1 in the Bert paper Table1.Could any explain this? Do I miss someting? Thanks!