Do you consider model accuracy Issues and how to get the whole trainig time of AI training process?
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Description
hello, thanks for your excellent work on large scale AI training simulation. And I'm curious if you're considering model accuracy issues. Do the parameters you provide for modification have an impact on model accuracy?
you said it can "Evaluate the time consumption of AI tasks", as far as I'm known, Astra-sim can only get the time of a single batch but not the whole training process(because it is related to the number of epochs, and so on...). So I'm also curious that how do you think about this problem?
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The issue does not mention any files, tests, or entry points. Start by reviewing the project's documentation for model-accuracy parameters and batch or epoch timing, then clarify whether the requested outcome is accuracy modeling, whole-training duration, or both. Done would require an agreed scope and maintainer decision before implementation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100