New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Metrics definition and settings used for LLM benchmarks #2012

Open

vineel96 opened this issue Jan 3, 2025 · 1 comment

vineel96 commented Jan 3, 2025

Hello,
I have query regarding metrics definition and settings used in LLM benchmarks in MLCommons (https://mlcommons.org/benchmarks/inference-datacenter/).
For LLM-Q/A task in the benchmark table in above link:

How TPOT and TTFT are calculated? Can you source code for it? For TPOT how many tokens are generated?
For openocra dataset, input prompt provided is "system_prompt" + "question" or "question" only? Since openocra dataset has both colmuns
For quality metrics in table the values for ROUGE-1 is its precision , recall or fmeasure?

Author

vineel96 commented Jan 6, 2025

Hi @arjunsuresh, any information regarding this?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment