object FineTune extends Serializable

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  1. final case class Hyperparams(batchSize: Int, classificationNClasses: Optional[Int] = Optional.Absent, classificationPositiveClass: Optional[String] = Optional.Absent, computeClassificationMetrics: Optional[Boolean] = Optional.Absent, learningRateMultiplier: Double, nEpochs: Int, promptLossWeight: Double) extends Product with Serializable

    hyperparams model

    hyperparams model

    The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more details.

    batchSize

    The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass.

    classificationNClasses

    The number of classes to use for computing classification metrics.

    classificationPositiveClass

    The positive class to use for computing classification metrics.

    computeClassificationMetrics

    The classification metrics to compute using the validation dataset at the end of every epoch.

    learningRateMultiplier

    The learning rate multiplier to use for training.

    nEpochs

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

    promptLossWeight

    The weight to use for loss on the prompt tokens.

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  15. implicit val schema: Schema[FineTune]
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  21. object Hyperparams extends Serializable

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