mlcommons / mlcommons/logging

Add hparams and compliance checks for training and eval samples for all benchmarks

Open
#143 3 comments 0 reactions 1 assignee View on GitHub

@shangw-nvidia is already working on this.

Since Nov 10, 2021.

Dominant language
Python
Stars
43
Forks
60
Avg merge
19h 56m
Merged PRs (30d)
3

Description

According to issue https://github.com/mlcommons/submission_training_1.0/issues/39, the number of training samples is 117266. Many submissions do hardcode this value, even though the reference does not. On that specific issue the submission in question used a different value.

The decision was to add train_samples, and eval_samples as hyperparameters + the related compliance checker rules so we avoid such issues in the future.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.