Skip to content

Conversation

@harneet862
Copy link

For this PR, I added two assertions to validate the timing and evaluation consistency at the end of the training loop:

  1. Duration consistency check: The total duration of training (submission time + logging time + evaluation time) is asserted to match the final evaluation result's total_duration, with a tolerance of 10 seconds.

  2. Evaluation frequency check: Ensures the number of evaluations does not exceed the allowed evaluations based on the accumulated submission time and the workload's evaluation period.

…of eva is aligned with expectations with real wall_clock_time
@harneet862 harneet862 requested a review from a team as a code owner September 13, 2024 11:27
@github-actions
Copy link

github-actions bot commented Sep 13, 2024

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

@priyakasimbeg priyakasimbeg changed the base branch from main to dev February 14, 2025 19:42
@harneet862 harneet862 closed this Mar 14, 2025
@github-actions github-actions bot locked and limited conversation to collaborators Mar 14, 2025
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant