Finetuning-scheduler

Added

- Bumped latest tested PL patch version to 1.6.4
- Added basic notebook-based example tests a new ipynb-specific extra
- Updated docker definitions
- Extended multi-gpu testing to include both oldest and latest supported PyTorch versions
- Enhanced requirements parsing functionality
Fixed
- cleaned up acknowledged warnings in multi-gpu example testing
Changed

Deprecated

Added

- Added LR scheduler reinitialization functionality ([2](https://github.com/speediedan/finetuning-scheduler/pull/2))
- Added advanced usage documentation
- Added advanced scheduling examples
- added notebook-based tutorial link
- enhanced cli-based example hparam logging among other code clarifications

Changed

Fixed

- addressed URI length limit for custom badge
- allow new deberta fast tokenizer conversion warning for transformers >= 4.19
Deprecated

Added

-

Changed

- bumped latest tested PL patch version to 1.6.3
Fixed

-
Deprecated

-

Added

- added multiple badges (docker, conda, zenodo)
- added build status matrix to readme

Changed

- bumped latest tested PL patch version to 1.6.2
- updated citation cff configuration to include all version metadata
- removed tag-based trigger for azure-pipelines multi-gpu job

Fixed

-
Deprecated

-

Added

- added conda-forge package
- added docker release and pypi workflows
- additional badges for readme, testing enhancements for oldest/newest pl patch versions

Changed

- bumped latest tested PL patch version to 1.6.1, CLI example depends on PL logger fix ([12609](https://github.com/Lightning-AI/lightning/pull/12609))

Deprecated

-

Fixed

- Addressed version prefix issue with readme transformation for pypi

Added

- None (initial release)

Changed

- None (initial release)

Deprecated

- None (initial release)

Fixed

- None (initial release)