mlcommons / mlcommons/submissions_algorithms
Question: How was the step hint calculated?
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- Dominant language
- Jupyter Notebook
- Stars
- 11
- Forks
- 11
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 4
Description
I would like to ask how the step hint was calculated and whether this could be changed to create a LR schedule based on runtime rather than steps, as this would affect an algorithm like shampoo with a longer time per step negatively if the step hint was based off of NadamW.
Thanks!
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Research direction
The issue names no file, test, or entry point. First clarify how the step hint is currently calculated and whether runtime-based scheduling is intended; then locate the learning-rate scheduling implementation and its tests. Done requires an agreed behavior and tests covering algorithms with different per-step runtimes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100