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v1.2.2

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@francois-drielsma francois-drielsma released this 13 Sep 06:21
· 16 commits to main since this release

Added

  • Scheduler restart policy: Allow resumed training to preserve optimizer tensor state while explicitly restarting a newly configured learning-rate schedule; complete scheduler restoration remains the default.

Fixed

  • Iteration-based training limits: Keep positive explicit iteration counts independent from epoch limits so ordinary and resumed runs do not stop after one input pass.

Full Changelog: v1.2.1...v1.2.2