Update no trainer examples for QA and Semantic Segmentation

[kiansierra]

What does this PR do?

Update run_qa_no_trainer.py, run_qa_beam_search_no_trainer.py, run_semantic_segmentation_no_trainer.py examples to include accelarator.gather_metrics

Fixes # #18437

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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I ran the scripts locally with the following arguments

  "program": "examples/pytorch/question-answering/run_qa_no_trainer.py",
  "args": [
      "--dataset_name",
      "squad",
      "--dataset_config_name",
      "plain_text",
      "--model_type",
      "bert",
      "--tokenizer_name",
      "bert-base-uncased",
      "--max_train_steps",
      "50"
  ]

    "program": "examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py",
    "args": [
        "--dataset_name",
        "squad",
        "--model_name_or_path",
        "xlnet-base-cased",
        "--max_train_steps",
        "50"
    ]

    "program": "examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py",
    "args": [
        "--max_train_steps",
        "50"
    ]

Who can review?

@muellerzr , @sgugger , @pacman100
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

[HuggingFaceDocBuilderDev]

The documentation is not available anymore as the PR was closed or merged.

[sgugger]

Thanks a lot for your PR!