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tuning_jobs

Creates, updates, deletes, gets or lists a tuning_jobs resource.

Overview

Nametuning_jobs
TypeResource
Idgoogle.aiplatform.tuning_jobs

Fields

NameDatatypeDescription
namestringOutput only. Identifier. Resource name of a TuningJob. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}
descriptionstringOptional. The description of the TuningJob.
baseModelstringThe base model that is being tuned, e.g., "gemini-1.0-pro-002".
createTimestringOutput only. Time when the TuningJob was created.
encryptionSpecobjectRepresents a customer-managed encryption key spec that can be applied to a top-level resource.
endTimestringOutput only. Time when the TuningJob entered any of the following JobStates: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED, JOB_STATE_EXPIRED.
errorobjectThe Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.
experimentstringOutput only. The Experiment associated with this TuningJob.
labelsobjectOptional. The labels with user-defined metadata to organize TuningJob and generated resources such as Model and Endpoint. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
startTimestringOutput only. Time when the TuningJob for the first time entered the JOB_STATE_RUNNING state.
statestringOutput only. The detailed state of the job.
supervisedTuningSpecobjectTuning Spec for Supervised Tuning for first party models.
tunedModelobjectThe Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.
tunedModelDisplayNamestringOptional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.
tuningDataStatsobjectThe tuning data statistic values for TuningJob.
updateTimestringOutput only. Time when the TuningJob was most recently updated.

Methods

NameAccessible byRequired ParamsDescription
getSELECTlocationsId, projectsId, tuningJobsIdGets a TuningJob.
listSELECTlocationsId, projectsIdLists TuningJobs in a Location.
createINSERTlocationsId, projectsIdCreates a TuningJob. A created TuningJob right away will be attempted to be run.
cancelEXEClocationsId, projectsId, tuningJobsIdCancels a TuningJob. Starts asynchronous cancellation on the TuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use GenAiTuningService.GetTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the TuningJob is not deleted; instead it becomes a job with a TuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TuningJob.state is set to CANCELLED.

SELECT examples

Lists TuningJobs in a Location.

SELECT
name,
description,
baseModel,
createTime,
encryptionSpec,
endTime,
error,
experiment,
labels,
startTime,
state,
supervisedTuningSpec,
tunedModel,
tunedModelDisplayName,
tuningDataStats,
updateTime
FROM google.aiplatform.tuning_jobs
WHERE locationsId = '{{ locationsId }}'
AND projectsId = '{{ projectsId }}';

INSERT example

Use the following StackQL query and manifest file to create a new tuning_jobs resource.

/*+ create */
INSERT INTO google.aiplatform.tuning_jobs (
locationsId,
projectsId,
baseModel,
encryptionSpec,
supervisedTuningSpec,
description,
labels,
tunedModelDisplayName
)
SELECT
'{{ locationsId }}',
'{{ projectsId }}',
'{{ baseModel }}',
'{{ encryptionSpec }}',
'{{ supervisedTuningSpec }}',
'{{ description }}',
'{{ labels }}',
'{{ tunedModelDisplayName }}'
;