the results of run_glue_no_trainer.py are different from those reported in the paper
## Environment info
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     Don't forget to fill out the missing fields in that output! -->

- `transformers` version:
- Platform: ubuntu 18
- Python version: 3.6
- PyTorch version (GPU?): 1.6
- Tensorflow version (GPU?): 
- Using GPU in script?: YES
- Using distributed or parallel set-up in script?: no

### Who can help
@LysandreJik @sgugger 
Models:

I fine-tuned the Bert-base model on the GLUE dataset using run_glue_no_trainer.py provided by hugging face (https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification). The results are similar those in the website:
![image](https://user-images.githubusercontent.com/26025961/139570070-124094ad-8692-4046-824e-04bd05e9b794.png)
But the results reported in the paper are:
![image](https://user-images.githubusercontent.com/26025961/139570130-2a2f8b2a-a964-45b0-9902-d20c56c78c20.png)
Why they are significantly different?

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