cellmap_flow.finetune.finetune_cli
==================================

.. py:module:: cellmap_flow.finetune.finetune_cli

.. autoapi-nested-parse::

   Command-line interface for LoRA finetuning.

   Usage:
       python -m cellmap_flow.finetune.finetune_cli         --model-checkpoint /path/to/checkpoint         --corrections corrections.zarr         --output-dir output/fly_organelles_v1.1

       # With custom settings
       python -m cellmap_flow.finetune.finetune_cli         --model-checkpoint /path/to/checkpoint         --corrections corrections.zarr         --output-dir output/fly_organelles_v1.1         --lora-r 16         --batch-size 4         --num-epochs 20         --learning-rate 2e-4



Attributes
----------

.. autoapisummary::

   cellmap_flow.finetune.finetune_cli.logger


Classes
-------

.. autoapisummary::

   cellmap_flow.finetune.finetune_cli.RestartController


Functions
---------

.. autoapisummary::

   cellmap_flow.finetune.finetune_cli.build_arg_parser
   cellmap_flow.finetune.finetune_cli.main


Module Contents
---------------

.. py:data:: logger

.. py:class:: RestartController

   In-memory restart control shared between training loop and server endpoint.


   .. py:method:: request_restart(payload: Optional[dict]) -> bool


   .. py:method:: get_if_triggered() -> Optional[dict]


.. py:function:: build_arg_parser()

.. py:function:: main()