google-genai/com.google.genai.types/CreateTuningJobConfig

CreateTuningJobConfig

public abstract class CreateTuningJobConfig extends JsonSerializable

Fine-tuning job creation request - optional fields.

Constructors

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public void CreateTuningJobConfig()

Types

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public abstract class Builder
Builder for CreateTuningJobConfig.

Properties

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public final static String MAX_READ_LENGTH_PROPERTY
System property to override the default max JSON string length (20MB) in read constraints.

Functions

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public abstract Optional<AdapterSize> adapterSize()
Adapter size for tuning.
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public abstract Optional<String> baseTeacherModel()
The base teacher model that is being distilled.
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public abstract Optional<Integer> batchSize()
The batch size hyperparameter for tuning.
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public abstract Optional<Float> beta()
Weight for KL Divergence regularization, Preference Optimization tuning only.
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public static CreateTuningJobConfig.Builder builder()
Instantiates a builder for CreateTuningJobConfig.
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public abstract Optional<String> customBaseModel()
Custom base model for tuning.
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public abstract Optional<String> description()
The description of the TuningJob
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public abstract Optional<EncryptionSpec> encryptionSpec()
The encryption spec of the tuning job.
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public abstract Optional<Integer> epochCount()
Number of complete passes the model makes over the entire training dataset during training.
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public abstract Optional<EvaluationConfig> evaluationConfig()
Evaluation config for the tuning job.
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public abstract Optional<Boolean> exportLastCheckpointOnly()
If set to true, disable intermediate checkpoints and only the last checkpoint will be exported.
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public static CreateTuningJobConfig fromJson(String jsonString)
Deserializes a JSON string to a CreateTuningJobConfig object.
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@InternalApi()
public static T fromJsonNode<T extends JsonSerializable>(JsonNode jsonNode, Class<T> clazz)
Deserializes a JsonNode to an object of the given type.
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@InternalApi()
public static T fromJsonString<T extends JsonSerializable>(String jsonString, Class<T> clazz)
Deserializes a Json string to an object of the given type.
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public abstract Optional<HttpOptions> httpOptions()
Used to override HTTP request options.
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public abstract Optional<Map<String, String>> labels()
Optional.
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public abstract Optional<Float> learningRate()
The learning rate for tuning.
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public abstract Optional<Float> learningRateMultiplier()
Multiplier for adjusting the default learning rate.
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public abstract Optional<TuningMethod> method()
The method to use for tuning (SUPERVISED_FINE_TUNING or PREFERENCE_TUNING or DISTILLATION).
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public static ObjectMapper objectMapper()
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public abstract Optional<String> outputUri()
The Google Cloud Storage location where the tuning job outputs are written.
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public abstract Optional<String> preTunedModelCheckpointId()
The optional checkpoint id of the pre-tuned model to use for tuning, if applicable.
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public static void setMaxReadLength(int maxReadLength)
Overrides the default maximum JSON string length (20MB) for the JSON parser.
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public abstract Optional<Float> sftLossWeightMultiplier()
Multiplier for adjusting the weight of the SFT loss.
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public static JsonNode stringToJsonNode(String string)
Converts a Json string to a JsonNode.
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public abstract CreateTuningJobConfig.Builder toBuilder()
Creates a builder with the same values as this instance.
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public String toJson()
Serializes the instance to a Json string.
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public static JsonNode toJsonNode(Object object)
Serializes an object to a JsonNode.
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public static String toJsonString(Object object)
Serializes an object to a Json string.
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public abstract Optional<String> tunedModelDisplayName()
The display name of the tuned Model.
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public abstract Optional<String> tunedTeacherModelSource()
The resource name of the Tuned teacher model.
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public abstract Optional<TuningMode> tuningMode()
Tuning mode for tuning.
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public abstract Optional<TuningValidationDataset> validationDataset()
Validation dataset for tuning.