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add changelog
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docs/CHANGELOG.md

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@@ -12,6 +12,15 @@ AlgoPerf uses a unified versioning scheme: codebase, rules, and leaderboard all
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- _Codebase_: API improvements, bug fixes, or small non-breaking changes in the benchmark code could increment its `Patch` version as reflected in the `algoperf` package version.
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- _Documentation/Rules_: Clarifications, typo fixes, or minor updates to the rules/documentation could increment its `Patch` version as shown in the documentation file.
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## [1.0.0] - 2026-02-05
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### Added
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- [Code, Rules] Migrated from 8xV100 to 4xA100 (40GB) and calibrated the workload runtime budgets for this new hardware ([PR](https://github.com/mlcommons/algorithmic-efficiency/pull/892)).
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- [Code, Rules] Added LM `finewebedu_lm` workload with decoder-only language model with Fineweb-Edu 10B dataset ([PR](https://github.com/mlcommons/algorithmic-efficiency/pull/902)).
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- [Code] Support for changing dropout with the `model_fn` ([PR](https://github.com/mlcommons/algorithmic-efficiency/pull/884)).
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## [0.6.0] - 2025-06-24
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Improved and streamlined version of the benchmark which includes important bug fixes, API improvements and benchmark protocol changes following the lessons learned from the first competition.

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