Use this when you have uploaded more data, or want to try changing just one hyperparameter.

  1. Open a previous training run from the Training (학습) list and press Train again with these settings (이 설정으로 다시 학습) ①.
    Training run detail — ① Train again with these settings
  2. With a "Settings loaded (설정을 불러왔습니다)" notification, you land directly on 11. Review and start (검토·시작) with steps 1–10 all filled in. If there is a step to change, click it in the list on the left and edit it, then press Start training (학습 시작).
    The settings are loaded and you land on Review and start — only the experiment name is empty

What carries over and what does not

ItemBehavior
Task, framework, model, dataset, classes, split, hyperparameters, evaluation, Export, GPU, registry registrationCarried over as they were
Experiment nameCleared. To pile runs into the same experiment, enter the previous name again
Training runtime variantKept if it can still be chosen; if it is gone, it switches to the default variant and the notification says so
Starting weights (ones you uploaded)Kept if still Ready (사용 가능); if deleted, it switches to the catalog weights and the notification says so
Dataset contentsThe dataset is referenced by ID, so training uses its current contents, including files added in the meantime

Written for the platform as of 2026-09-21.

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