max_length in beam_search() and  group_beam_search() does not consider beam_scorer.max_length
## Environment info
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- `transformers` version: 
- Platform: 4.3.2
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.0
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No

### Who can help
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Models:

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- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
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- tensorflow: @LysandreJik

Library:

- benchmarks: @patrickvonplaten
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- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
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## Information

I am using BART model in particular, but this problem exists for all the other models, using `beam_search()` and `group_beam_search()` for decoding the generated text.

The `max_length` variable set using `BeamSearchScorer` is not used by `beam_search()` or `group_beam_search()` function in `generation_utils.py` script.

Thus using a  smaller `max_length` while initializing the object of class, for example:
```
beam_scorer = BeamSearchScorer(
    batch_size=1,
    max_length=5,
    num_beams=num_beams,
    device=model.device,
)
```
instead of 
```
beam_scorer = BeamSearchScorer(
    batch_size=1,
    max_length=model.config.max_length,
    num_beams=num_beams,
    device=model.device,
)
```

in the example given [here](https://huggingface.co/transformers/main_classes/model.html#transformers.generation_utils.GenerationMixin.beam_search) 

results in an error:
```
File "temp.py", line 34, in <module>
    outputs = model.beam_search(input_ids, beam_scorer, logits_processor=logits_processor, **model_kwargs)
  File "<conda_env_dir>/lib/python3.8/site-packages/transformers/generation_utils.py", line 1680, in beam_search
    sequence_outputs = beam_scorer.finalize(
  File "<conda_env_dir>/lib/python3.8/site-packages/transformers/generation_beam_search.py", line 328, in finalize
    decoded[i, : sent_lengths[i]] = hypo
RuntimeError: The expanded size of the tensor (5) must match the existing size (6) at non-singleton dimension 0.  Target sizes: [5].  Tensor sizes: [6]
```

The problem arises when using:
* [x] the official example scripts: 
- [beam_scorer_example](https://huggingface.co/transformers/main_classes/model.html#transformers.generation_utils.GenerationMixin.beam_search)
* [x] my own modified scripts: 
-  Also, using `max_length` higher than `model.config.max_length` while initializing object (`beam_scorer`) of type `BeamSearchScorer` does not help in generating longer sequences, as `beam_scorer.max_length` is not used by `beam_search()` or `group_beam_search()`

## To reproduce

Steps to reproduce the behavior:

1. The above mentioned modification in the [example](https://huggingface.co/transformers/main_classes/model.html#transformers.generation_utils.GenerationMixin.beam_search)

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## Expected behavior
1. The program to run without any errors when lower `max_length` is set for object of type `BeamSearchScorer`
2. Generate longer length sequences (longer than `model.config.max_length`) when higher `max_length` is set for object of type `BeamSearchScorer`
<!-- A clear and concise description of what you would expect to happen. -->
