pytorch / pytorch/vision

Missing model training details in documentation

Open
#4,654 0 comments 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

module: documentation module: reference scripts
Dominant language
Python
Stars
17.9k
Forks
7.3k
Avg merge
1d 15h
Merged PRs (30d)
13

Description

📚 The doc issue

Under references we are missing details of the model training setup for many of our models. The idea here is to fix that by

  • Recovering the commands used to train all missing models (have a look to list them if possible)
  • Add them on the references
  • Update the meta-data on prototype to point to them.
Suggest a potential alternative/fix

No response

cc @datumbox

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.

Research direction

Start by reviewing the references/classification directory and listing which models lack training details. Recover the commands used for those models, add them to the references, and update the prototype metadata to point to the new details. Done means all missing models have documented training commands and corresponding metadata links.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.