FFineTuningJobHyperparamsRequest Struct Reference

Public Attributes
FString	Batch_Size {"auto"}
FString	Learning_Rate_Multiplier {"auto"}
FString	N_Epochs {"auto"}

Member Data Documentation

Batch_Size

FString FFineTuningJobHyperparamsRequest::Batch_Size {"auto"}

Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

Learning_Rate_Multiplier

FString FFineTuningJobHyperparamsRequest::Learning_Rate_Multiplier {"auto"}

Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

N_Epochs

FString FFineTuningJobHyperparamsRequest::N_Epochs {"auto"}

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

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The documentation for this struct was generated from the following file:

• Source/OpenAI/Public/Provider/Types/FineTuneTypes.h