Optional
baseThe base model that is being tuned. See Supported models.
Optional
createOutput only. Time when the TuningJob was created.
Optional
customOptional. The user-provided path to custom model weights. Set this field to tune a custom model. The path must be a Cloud Storage directory that contains the model weights in .safetensors format along with associated model metadata files. If this field is set, the base_model field must still be set to indicate which base model the custom model is derived from. This feature is only available for open source models.
Optional
descriptionOptional. The description of the TuningJob.
Optional
encryptionCustomer-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.
Optional
endOutput only. Time when the TuningJob entered any of the following JobStates: JOB_STATE_SUCCEEDED
, JOB_STATE_FAILED
, JOB_STATE_CANCELLED
, JOB_STATE_EXPIRED
.
Optional
errorOutput only. Only populated when job's state is JOB_STATE_FAILED
or JOB_STATE_CANCELLED
.
Optional
experimentOutput only. The Experiment associated with this TuningJob.
Optional
labelsOptional. 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.
Optional
nameOutput only. Identifier. Resource name of a TuningJob. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}
Optional
outputOptional. Cloud Storage path to the directory where tuning job outputs are written to. This field is only available and required for open source models.
Optional
partnerTuning Spec for open sourced and third party Partner models.
Optional
pipelineOutput only. The resource name of the PipelineJob associated with the TuningJob. Format: projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}
.
Optional
preThe pre-tuned model for continuous tuning.
Optional
sdkUsed to retain the full HTTP response.
Optional
serviceThe 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.
Optional
startOutput only. Time when the TuningJob for the first time entered the JOB_STATE_RUNNING
state.
Optional
stateOutput only. The detailed state of the job.
Optional
supervisedTuning Spec for Supervised Fine Tuning.
Optional
tunedOutput only. The tuned model resources associated with this TuningJob.
Optional
tunedOptional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.
Optional
tuningOutput only. The tuning data statistics associated with this TuningJob.
Optional
updateOutput only. Time when the TuningJob was most recently updated.
A tuning job.