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Release version 2025.9 (#724)
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docs/src/dev-docs/changelog.rst

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@@ -21,24 +21,39 @@ changelog <https://keepachangelog.com/en/1.1.0/>`_ format. This project follows
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.. #######
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Unreleased
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Version 2025.9 - 2025-08-18
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#####
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- Additional logs to the checkpoints, model and the output dirs at the end of training
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- When downloading checkpoints and models from Hugging Face, the files will be cached
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locally and re-used.
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- Use the best model instead of the latest model for evaluation at the end of training.
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- Log the best epoch when loading checkpoints.
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- Allow changing the scheduler factor in PET.
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- Introduce checkpoint versioning and updating.
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- Added CI tests on GPU.
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- Log the number of model parameters before training starts.
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- Add additional logs to the checkpoints, model, and output directories at the end of
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training.
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- Cache files locally and re-use them when downloading checkpoints and models from
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Hugging Face.
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- ``extra_data`` is now a valid section in the ``options.yaml`` file, allowing users to
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add custom data to the training set. The data is contained in the dataloader and can
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be used in custom loss functions or models.
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- ``mtt eval`` can be used to evaluate models on a ``DiskDataset``.
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add custom data to the training set. The data is included in the dataloader and can be
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used in custom loss functions or models.
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- ``mtt eval`` can now evaluate models on a ``DiskDataset``.
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Changed
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#######
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- Updated to a new general composition model.
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- Updated to a new implementation of LLPR.
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- Log is shown when training with ``restart="auto"``
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- Fixed ``device`` and ``dtype`` not being set during LoRA fine-tuning in PET.
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- Log messages are now shown when training with ``restart="auto"``.
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- Fixed incorrect sub-section naming in the Wandb logger.
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Version 2025.8 - 2025-06-11
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