Fine-Tuning Scheduler Tutorial Update for Lightning/PyTorch 2.5.0

[speediedan]

• Validated (locally) the Fine-Tuning Scheduler (FTS) tutorial for FTS/Lightning/PyTorch 2.5.0.
• Prepared for HF clean_up_tokenization_spaces behavior change,
• Added reference to FTS enhanced support for ModelParallelStrategy enabling use of PyTorch composable distributed (e.g. fully_shard, checkpoint) and Tensor Parallelism (TP) APIs

Thank you for all your work and your consistently valuable contributions to the open-source ML community!

Before submitting

• Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
• Did you make sure to update the docs?
• Did you write any new necessary tests?

What does this PR do?

Updates the Fine-Tuning Scheduler tutorial to prepare for 2.5.0 tutorial publishing.

PR review

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 69%. Comparing base (a7d9471) to head (afb0428).
Report is 1 commits behind head on main.

Additional details and impacted files

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  Coverage    69%    69%           
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  Files         2      2           
  Lines       441    441           
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  Hits        306    306           
  Misses      135    135