Class SupervisedTuningSpec.Builder
- Enclosing class:
- SupervisedTuningSpec
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionabstract SupervisedTuningSpec
build()
abstract SupervisedTuningSpec.Builder
exportLastCheckpointOnly
(boolean exportLastCheckpointOnly) Setter for exportLastCheckpointOnly.abstract SupervisedTuningSpec.Builder
hyperParameters
(SupervisedHyperParameters hyperParameters) Setter for hyperParameters.hyperParameters
(SupervisedHyperParameters.Builder hyperParametersBuilder) Setter for hyperParameters builder.abstract SupervisedTuningSpec.Builder
trainingDatasetUri
(String trainingDatasetUri) Setter for trainingDatasetUri.abstract SupervisedTuningSpec.Builder
tuningMode
(TuningMode tuningMode) Setter for tuningMode.tuningMode
(TuningMode.Known knownType) Setter for tuningMode given a known enum.tuningMode
(String tuningMode) Setter for tuningMode given a string.abstract SupervisedTuningSpec.Builder
validationDatasetUri
(String validationDatasetUri) Setter for validationDatasetUri.
-
Constructor Details
-
Builder
public Builder()
-
-
Method Details
-
exportLastCheckpointOnly
public abstract SupervisedTuningSpec.Builder exportLastCheckpointOnly(boolean exportLastCheckpointOnly) Setter for exportLastCheckpointOnly.exportLastCheckpointOnly: Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
-
hyperParameters
public abstract SupervisedTuningSpec.Builder hyperParameters(SupervisedHyperParameters hyperParameters) Setter for hyperParameters.hyperParameters: Optional. Hyperparameters for SFT.
-
hyperParameters
public SupervisedTuningSpec.Builder hyperParameters(SupervisedHyperParameters.Builder hyperParametersBuilder) Setter for hyperParameters builder.hyperParameters: Optional. Hyperparameters for SFT.
-
trainingDatasetUri
Setter for trainingDatasetUri.trainingDatasetUri: Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-
tuningMode
Setter for tuningMode.tuningMode: Tuning mode.
-
tuningMode
Setter for tuningMode given a known enum.tuningMode: Tuning mode.
-
tuningMode
Setter for tuningMode given a string.tuningMode: Tuning mode.
-
validationDatasetUri
Setter for validationDatasetUri.validationDatasetUri: Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-
build
-