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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

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.

Written by the indexing model from the issue text.

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

Dominant language
Python
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