Class HyperParameters

The hyperparameters used for the fine-tuning job.

public class HyperParameters

Properties

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

public int BatchSize { get; set; }

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

public float LearningRateMultiplier { get; set; }

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

public int NEpochs { get; set; }