mllam/neural-lam

Learning rate scheduler

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#97 opened on Dec 10, 2024

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enhancementgood first issue

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Description

Learning rate scheduling is something useful that we should have as an option. As setting up a way to configure arbitrary pytorch schedulers becomes over-complicated, we should start by just adding in options for cosine schedule. @ErikLarssonDev has a prototype for this.

Contributor guide

Research direction
Look at ErikLarssonDev's prototype for cosine scheduler and integrate it into the training loop with configurable parameters.
Tech stack
pythonpytorch
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60