The invention provides a model training method, device and equipment and a storage medium, relates to the field of artificial intelligence, in particular to the technical fields of automatic driving, model training and the like, and can be applied to scenes of automatic driving model training, model optimization and the like. According to the specific implementation scheme, the method comprises the steps that at least two task identifiers are obtained, the task identifiers are used for indicating training of AI networks, and the AI networks corresponding to the task identifiers are the same; determining a hyper-parameter algorithm corresponding to each task identifier, and generating a hyper-parameter corresponding to each task identifier according to the hyper-parameter algorithm corresponding to each task identifier; training the AI network corresponding to each task identifier according to the hyper-parameter corresponding to each task identifier to obtain an AI model corresponding to each task identifier; and screening the AI models corresponding to the at least two task identifiers according to the performance parameters of each AI model to obtain a target AI model. The training efficiency of the model can be improved.
本公开提供了一种模型训练方法、装置、设备及存储介质,涉及人工智能领域,具体涉及自动驾驶、模型训练等技术领域,可应用于训练自动驾驶模型、模型优化等场景下。具体实现方案包括:获取至少两个任务标识,任务标识用于指示对AI网络进行训练,每个任务标识对应的AI网络均相同;确定每个任务标识对应的超参数算法,并根据每个任务标识对应的超参数算法生成每个任务标识对应的超参数;根据每个任务标识对应的超参数分别对每个任务标识对应的AI网络进行训练,得到每个任务标识对应的AI模型;根据每个AI模型的性能参数,对至少两个任务标识分别对应的AI模型进行筛选,得到目标AI模型。本公开能够提高模型的训练效率。
Model training method and device, equipment and storage medium
模型训练方法、装置、设备及存储介质
2023-06-27
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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