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finetuning-scheduler

speediedan/finetuning-scheduler

PyTorch Lightning extension for fine-tuning schedules

GitHub Website

GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026

75views this month

69 stars8 forksLast push Sep 24, 2026 Python Apache-2.0

Decision brief

finetuning-scheduler accelerates and enhances PyTorch Lightning model fine-tuning with flexible schedules.

Good fit when

For projects using PyTorch Lightning that require dynamic, flexible scheduling for model fine-tuning.
When experimenting with rapid iterations of transfer learning on foundation models needing specific fine-tuning control.

Avoid when

If your project uses a different framework than PyTorch or requires no schedule flexibility in training stages.
For teams that prefer manual scheduling and do not need the speed boost offered by finetuning-scheduler's automation.

Observed Jul 17, 2026 · Source: enrich:decision_facts

finetuning-scheduler alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (1d since push); As of Sep 26, 2026
Provenance: Not a fork · Personal account; As of Sep 26, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install finetuning-scheduler

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A tool that accelerates and enhances model experimentation through flexible fine-tuning schedules using PyTorch Lightning.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 26, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 26, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 26, 2026)

uv pip install finetuning-scheduler

Source link

README

Step 0: Install from PyPI Starting with version 2.10, uv is the preferred installation approach for Fine Tuning Scheduler. <details <summary Additional installation options</summary Install Optional Packages To install additional packages required for examples: or to include pack...

For agents

This page has a .md twin and JSON over the API.

/tools/speediedan-finetuning-scheduler.md GET /api/graphcanon/tools/speediedan-finetuning-scheduler GET /api/graphcanon/graph?tool=speediedan-finetuning-scheduler