ValueError: HFArgumentParser on running run_glue.py
Hi,

I get the following error with HFArgumentParser on running run_glue.py. Any help would be appreciated. Thanks!

## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->

- `transformers` version: 4.16.2
- Platform: CentOS
- Python version: 3.9
- PyTorch version (GPU?): 1.10
- Tensorflow version (GPU?): 2.4.1
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No

### Who can help
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Models:

- BERT

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## Information

Model I am using (Bert):

The problem arises when using:

```
export GLUE_DIR=/work/vrawte/glue_data
export TASK_NAME=STSB

python run_glue.py \
  --model_type=bert \
  --model_name_or_path=bert-base-cased \
  --task_name=$TASK_NAME \
  --do_train \
  --do_eval \
  --data_dir=$GLUE_DIR/$TASK_NAME \
  --max_seq_length=128 \
  --train_batch_size=32 \
  --learning_rate=3e-5 \
  --num_train_epochs=3.0 \
  --output_dir=/tmp/$TASK_NAME \
  --overwrite_output_dir \
  --logging_steps=50 \
  --save_steps=200 \
  --num_cores=8 \
  --only_log_master
```

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)

![image](https://user-images.githubusercontent.com/22553367/158710662-9ac2142a-96c3-4f63-9d71-847bf78bc019.png)



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