Ignore parameters causing ValueError when dumping to YAML

[Callidior]

What does this PR do?

Fixes #19730

Unserializable parameters such as nn.Modules or Tensors often fail with a ValueError when calling yaml.dump on them and using PyTorch 2.x.
Lightning already tries to handle this type of error but only catches TypeError so far.
This PR proposes to additionally catch ValueError.

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📚 Documentation preview 📚: https://pytorch-lightning--19804.org.readthedocs.build/en/19804/

[nicolas-mng]

Having the same issue, this fix would be useful.

[zhanghaoyue]

This fix should proceed soon. Otherwise, no way to test multiple models.