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MIC-DKFZ / nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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Training Parameter

efox94 opened this issue · comments

commented

Hello,

Can you briefly inform about the the number of epochs, criteria for stopping training, and the methodology for determining optimized hyperparameters in nndetect?

Best,

commented

Dear @efox94 ,

nnDetection trains for 50 "normal" epochs and 10 epochs with SWA (Stochastic Weight averaging). It will always train a fixed number of epochs, no stopping criterion.

Can you elaborate which parameters you are specifically looking for? Otherwise, our paper should contain all/most of the information you are looking for.

Best,
Michael

commented

This issue is stale because it has been open for 30 days with no activity.

commented

This issue was closed because it has been inactive for 14 days since being marked as stale.