Wav2Vec2 WER remains 1.00 and return blank transcriptions.
## Environment info
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- `transformers` version: transformers==4.4.0
- Platform: 
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:

### Who can help
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Models:

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Library:

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@patrickvonplaten  @patil-suraj 

## Information
Wav2Vec2 WER remains 1.00 no matter which dataset we use and also can see the same behaviour across multiple datasets. 
Returns blank transcriptions when making predictions.

## To reproduce
 
Steps to reproduce the behavior:

1. Run the following colab notebook : https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_tuning_Wav2Vec2_for_English_ASR.ipynb

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## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->

![Screenshot from 2021-07-30 22-54-23](https://user-images.githubusercontent.com/15798640/127691113-ce47674c-1617-4d5f-ba3a-ced72ff68ed5.png)
<|||||>I see you are using transformers==4.4.0
there seems to be some updates to [wav2vec2 model ](https://github.com/huggingface/transformers/tree/master/src/transformers/models/wav2vec2) after that so maybe try with the latest release or pull from master<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.<|||||>In case someone stumbles upon this issue while using a version between 4.9.0 and 4.10.dev: https://github.com/huggingface/transformers/pull/13512