awslabs / awslabs/graphstorm

[Feature request] Support learning rate warm-up steps and schedulers

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Dominant language
Python
Stars
452
Forks
76
PR merge metrics
No merged PRs in 30d

Description

Fine-tuning LM and co-training involving LM often requires LR schedulers. It would be nice to support various LR scheduler to reproduce SOTA results.

Contributor guide

Open the contributing guide

Research direction

The issue names no files, tests, or entry points. Start by surveying the existing LM fine-tuning and co-training paths, then clarify which warm-up behavior and schedulers are required. Done should mean the agreed scheduler set and warm-up steps are supported and covered by tests, but the request does not define either scope.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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