Vertex AI Tuning Job

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Vertex AI Tuning Job is a managed Google Cloud service that automates hyperparameter tuning for machine learning models. It runs multiple training trials with different parameter combinations to find the best-performing model configuration. The service integrates with Vertex AI Training and supports custom or pre-built algorithms, helping optimize model accuracy and performance efficiently without manual experimentation.

gcp.aiplatform_tuning_job

Fields

ID	Type	Data Type	Description
_key	core	string
ancestors	core	array<string>
base_model	core	string	The base model that is being tuned. See [Supported models](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/tuning#supported_models).
create_time	core	timestamp	Output only. Time when the TuningJob was created.
datadog_display_name	core	string
description	core	string	Optional. The description of the TuningJob.
encryption_spec	core	json	Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.
end_time	core	timestamp	Output only. Time when the TuningJob entered any of the following JobStates: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`, `JOB_STATE_EXPIRED`.
error	core	json	Output only. Only populated when job's state is `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
experiment	core	string	Output only. The Experiment associated with this TuningJob.
labels	core	array<string>	Optional. 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.
name	core	string	Output only. Identifier. Resource name of a TuningJob. Format: `projects/{project}/locations/{location}/tuningJobs/{tuning_job}`
organization_id	core	string
parent	core	string
project_id	core	string
project_number	core	string
region_id	core	string
resource_name	core	string
service_account	core	string	The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.
start_time	core	timestamp	Output only. Time when the TuningJob for the first time entered the `JOB_STATE_RUNNING` state.
state	core	string	Output only. The detailed state of the job.
supervised_tuning_spec	core	json	Tuning Spec for Supervised Fine Tuning.
tags	core	hstore_csv
tuned_model	core	json	Output only. The tuned model resources associated with this TuningJob.
tuned_model_display_name	core	string	Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
tuning_data_stats	core	json	Output only. The tuning data statistics associated with this TuningJob.
update_time	core	timestamp	Output only. Time when the TuningJob was most recently updated.
zone_id	core	string