AzureOpenAiHyperParameters interface

Package:

@azure/arm-machinelearning

Azure Open AI hyperparameters for fine tuning.

Properties

batchSize	Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.
learningRateMultiplier	Scaling factor for the learning rate. A smaller learning rate may be useful to avoid over fitting.
nEpochs	The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

Property Details

batchSize

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

batchSize?: number

Property Value

number

learningRateMultiplier

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

learningRateMultiplier?: number

Property Value

number

nEpochs

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

nEpochs?: number

Property Value

number