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    Class HyperParameters

    The hyperparameters used for the fine-tuning job.

    Inheritance
    object
    HyperParameters
    Inherited Members
    object.Equals(object)
    object.Equals(object, object)
    object.GetHashCode()
    object.GetType()
    object.MemberwiseClone()
    object.ReferenceEquals(object, object)
    object.ToString()
    Namespace: Glitch9.AIDevKit
    Assembly: Glitch9.AIDevKit.dll
    Syntax
    [JsonConverter(typeof(HyperParametersConverter))]
    public class HyperParameters

    Properties

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    BatchSize

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

    Declaration
    [JsonProperty("batch_size")]
    public int BatchSize { get; set; }
    Property Value
    Type Description
    int
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    LearningRateMultiplier

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

    Declaration
    [JsonProperty("learning_rate_multiplier")]
    public float LearningRateMultiplier { get; set; }
    Property Value
    Type Description
    float
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    NEpochs

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

    Declaration
    [JsonProperty("n_epochs")]
    public int NEpochs { get; set; }
    Property Value
    Type Description
    int

    Extension Methods

    ArrayExtensions.ToArrayOrEmpty<T>(T)
    ArrayExtensions.ToArrayOrNull<T>(T)
    EventExtensions.ToDelta<T>(T, string, int, string, bool)
    EventExtensions.ToDone<T>(T, string, int, string)
    EventExtensions.ToEvent<T>(T)
    EventExtensions.UpcastDelta<T1, T2>(T1, string, int, string, bool)
    FallbackExtensions.IsOr<TParent, TChild>(TParent, TChild)
    ResponseCastingExtensions.GetResult<T>(T)
    SystemExtensions.GetName(object)
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