Package com.google.genai.types

Class CreateTuningJobConfig.Builder

java.lang.Object
com.google.genai.types.CreateTuningJobConfig.Builder
Enclosing class:
CreateTuningJobConfig
public abstract static class CreateTuningJobConfig.Builder extends Object
Builder for CreateTuningJobConfig.

  • Constructor Details

    • Builder

      public Builder()

  • Method Details

    • httpOptions

      public abstract CreateTuningJobConfig.Builder httpOptions(HttpOptions httpOptions)
      Setter for httpOptions.

      httpOptions: Used to override HTTP request options.

    • httpOptions

      public CreateTuningJobConfig.Builder httpOptions(HttpOptions.Builder httpOptionsBuilder)
      Setter for httpOptions builder.

      httpOptions: Used to override HTTP request options.

    • validationDataset

      public abstract CreateTuningJobConfig.Builder validationDataset(TuningValidationDataset validationDataset)
      Setter for validationDataset.

      validationDataset: Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.

    • validationDataset

      public CreateTuningJobConfig.Builder validationDataset(TuningValidationDataset.Builder validationDatasetBuilder)
      Setter for validationDataset builder.

      validationDataset: Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.

    • tunedModelDisplayName

      public abstract CreateTuningJobConfig.Builder tunedModelDisplayName(String tunedModelDisplayName)
      Setter for tunedModelDisplayName.

      tunedModelDisplayName: The display name of the tuned Model. The name can be up to 128 characters long and can consist of any UTF-8 characters.

    • description

      public abstract CreateTuningJobConfig.Builder description(String description)
      Setter for description.

      description: The description of the TuningJob

    • epochCount

      public abstract CreateTuningJobConfig.Builder epochCount(Integer epochCount)
      Setter for epochCount.

      epochCount: Number of complete passes the model makes over the entire training dataset during training.

    • learningRateMultiplier

      public abstract CreateTuningJobConfig.Builder learningRateMultiplier(Float learningRateMultiplier)
      Setter for learningRateMultiplier.

      learningRateMultiplier: Multiplier for adjusting the default learning rate.

    • exportLastCheckpointOnly

      public abstract CreateTuningJobConfig.Builder exportLastCheckpointOnly(boolean exportLastCheckpointOnly)
      Setter for exportLastCheckpointOnly.

      exportLastCheckpointOnly: If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT.

    • adapterSize

      public abstract CreateTuningJobConfig.Builder adapterSize(AdapterSize adapterSize)
      Setter for adapterSize.

      adapterSize: Adapter size for tuning.

    • adapterSize

      @CanIgnoreReturnValue public CreateTuningJobConfig.Builder adapterSize(AdapterSize.Known knownType)
      Setter for adapterSize given a known enum.

      adapterSize: Adapter size for tuning.

    • adapterSize

      @CanIgnoreReturnValue public CreateTuningJobConfig.Builder adapterSize(String adapterSize)
      Setter for adapterSize given a string.

      adapterSize: Adapter size for tuning.

    • batchSize

      public abstract CreateTuningJobConfig.Builder batchSize(Integer batchSize)
      Setter for batchSize.

      batchSize: The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.

    • learningRate

      public abstract CreateTuningJobConfig.Builder learningRate(Float learningRate)
      Setter for learningRate.

      learningRate: The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.

    • build

      public abstract CreateTuningJobConfig build()