MULTI-TRACK MACHINE LEARNING MODEL TRAINING USING EARLY TERMINATION IN CLOUD-SUPPORTED PLATFORMS

    公开(公告)号:US20230342666A1

    公开(公告)日:2023-10-26

    申请号:US18139016

    申请日:2023-04-25

    CPC classification number: G06N20/00

    Abstract: Devices, systems, and techniques for experiment-based training of machine learning models (MLMs) using early stopping. The techniques include starting training tracks (TTs) that train candidate MLMs using the same training data and respective sets of training settings, performing a first evaluation of a first candidate MLM prior to completion of a corresponding first TT, and responsive to the first evaluation, placing the first TT on an inactive status, inactive status indicating that further training of the first candidate MLM is to be ceased. The techniques further include continuing at least a second TT using the training data, and responsive to conclusion of the TTs, selecting, as one or more final MLMs, the first candidate MLM or a second candidate MLM.

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