How to calculate training efficiency ,i.e tokens/sec of step 1 fine tuning of llama2 model ?
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning, performance
Research direction
Start with the linked 7b_logfile.txt and the step 1 fine-tuning logs mentioned in the issue. Identify which logged values represent processed tokens and elapsed training time, then verify the resulting efficiency against the run configuration. Done means providing a reproducible calculation and explaining which log entries support it.
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Description
hi all,
I'm executing step1 fine tuning of llama2 7b model on DGX system . mentioned below is the log generated . I need help in calculating the tokens/sec i.e training efficiency of the model . Can please someone help me with that.
7b_logfile.txt
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