don't pass None kwargs to accelerate as it doesn't handle it nicely
# What does this PR do?

Fixes an issue when using deepspeed where `self.xpu_backend` is None, and by passing it to accelerate, it doesn't handle it well. 

```
  File "/opt/conda/lib/python3.8/site-packages/transformers/training_args.py", line 1550, in _setup_devices                                                                                                                    
    self.distributed_state = PartialState(backend=self.xpu_backend)                                                                                                                                                            
  File "/opt/conda/lib/python3.8/site-packages/accelerate/state.py", line 117, in __init__                                                                                                                                     
    torch.distributed.init_process_group(backend="nccl", **kwargs)                                                                                                                                                             
TypeError: init_process_group() got multiple values for keyword argument 'backend'                                                                                                                                             
```

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Fixes # (issue)


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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
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Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
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Integrations:

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- ray/raytune: @richardliaw, @amogkam

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- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
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- Flax: @sanchit-gandhi
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_The documentation is not available anymore as the PR was closed or merged._<|||||>cc @muellerzr <|||||>We've already fixed this in accelerate via https://github.com/huggingface/accelerate/pull/1342. (Now there are more deepspeed things failing, but we're looking into that).

For now, as we're working on a very large migration in the trainer, please use the pip release of transformers for stability :) 

Or, install `accelerate` via github with `pip install git+https://github.com/huggingface/accelerate`<|||||>thanks! 