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Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model

机译:调整模型的超参数的系统和方法,高级缩减模型的培训

摘要

A system and method for tuning hyperparameters and training a model includes implementing a hyperparameter tuning service that tunes hyperparameters of a model that includes receiving, via an API, a tuning request that includes: (i) a first part comprising tuning parameters for generating tuned hyperparameter values for hyperparameters of the model; and (ii) a second part comprising model training control parameters for monitoring and controlling a training of the model, wherein the model training control parameters include criteria for generating instructions for curtailing a training run of the model; monitoring the training run for training the model based on the second part of the tuning request, wherein the monitoring of the training run includes periodically collecting training run data; and computing an advanced training curtailment instruction based on the training run data that automatically curtails the training run prior to a predefined maximum training schedule of the training run.
机译:用于调谐超参数和训练的系统和方法包括实现包括通过API(I)包括:(i)包括用于生成调谐的超参数的第一部分的高级参数的模型的超参数调整服务模型的超参数的值; (ii)第二部分包括用于监视和控制模型的训练的模型训练控制参数,其中模型训练控制参数包括用于生成用于减少模型训练运行的指令的标准;监视基于调谐请求的第二部分的培训模型的培训运行,其中监视训练运行包括定期收集训练运行数据;并根据培训运行数据计算高级训练缩减指令,该数据在预定义的培训运行的预定义最大培训计划之前自动限制培训运行。

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