Simplify training progress logging to avoid reliance on global batch_size.

[UtkarshSingh31]

Description

This PR simplifies the computation of the training progress counter (current) in the optimization tutorial.

The existing example computes current using a global batch_size variable. While this works in the current context, it introduces an unnecessary dependency on global state and can make the example harder to reason about or reuse if modified.

Computing current as batch * len(X) directly reflects the number of samples processed so far, avoids reliance on external assumptions, and naturally handles variable batch sizes.

This change affects logging only and does not modify training behavior or results.

Checklist

• This pull request addresses a single, focused documentation improvement
• No unrelated changes are included
• The change improves clarity and robustness without affecting behavior

Happy to adjust wording or implementation if there is a preferred tutorial style.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3749

• 📄 Preview Python docs built from this PR

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