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gcp_aiplatform_tuning_job

`ancestors`

Type: UNORDERED_LIST_STRING

`base_model`

Type: STRING
Provider name: baseModel
Description: The base model that is being tuned. See Supported models.

`create_time`

Type: TIMESTAMP
Provider name: createTime
Description: Output only. Time when the TuningJob was created.

`description`

Type: STRING
Provider name: description
Description: Optional. The description of the TuningJob.

`encryption_spec`

Type: STRUCT
Provider name: encryptionSpec
Description: 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.

kms_key_name
Type: STRING
Provider name: kmsKeyName
Description: Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

`end_time`

Type: TIMESTAMP
Provider name: endTime
Description: 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`

Type: STRUCT
Provider name: error
Description: Output only. Only populated when job’s state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

code
Type: INT32
Provider name: code
Description: The status code, which should be an enum value of google.rpc.Code.
message
Type: STRING
Provider name: message
Description: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

`experiment`

Type: STRING
Provider name: experiment
Description: Output only. The Experiment associated with this TuningJob.

`labels`

Type: UNORDERED_LIST_STRING

`name`

Type: STRING
Provider name: name
Description: Output only. Identifier. Resource name of a TuningJob. Format: projects/{project}/locations/{location}/tuningJobs/{tuning_job}

`organization_id`

Type: STRING

`parent`

Type: STRING

`project_id`

Type: STRING

`project_number`

Type: STRING

`resource_name`

Type: STRING

`service_account`

Type: STRING
Provider name: serviceAccount
Description: 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`

Type: TIMESTAMP
Provider name: startTime
Description: Output only. Time when the TuningJob for the first time entered the JOB_STATE_RUNNING state.

`state`

Type: STRING
Provider name: state
Description: Output only. The detailed state of the job.
Possible values:

JOB_STATE_UNSPECIFIED - The job state is unspecified.
JOB_STATE_QUEUED - The job has been just created or resumed and processing has not yet begun.
JOB_STATE_PENDING - The service is preparing to run the job.
JOB_STATE_RUNNING - The job is in progress.
JOB_STATE_SUCCEEDED - The job completed successfully.
JOB_STATE_FAILED - The job failed.
JOB_STATE_CANCELLING - The job is being cancelled. From this state the job may only go to either JOB_STATE_SUCCEEDED, JOB_STATE_FAILED or JOB_STATE_CANCELLED.
JOB_STATE_CANCELLED - The job has been cancelled.
JOB_STATE_PAUSED - The job has been stopped, and can be resumed.
JOB_STATE_EXPIRED - The job has expired.
JOB_STATE_UPDATING - The job is being updated. Only jobs in the RUNNING state can be updated. After updating, the job goes back to the RUNNING state.
JOB_STATE_PARTIALLY_SUCCEEDED - The job is partially succeeded, some results may be missing due to errors.

`supervised_tuning_spec`

Type: STRUCT
Provider name: supervisedTuningSpec
Description: Tuning Spec for Supervised Fine Tuning.

hyper_parameters
Type: STRUCT
Provider name: hyperParameters
Description: Optional. Hyperparameters for SFT.
- adapter_size
  Type: STRING
  Provider name: adapterSize
  Description: Optional. Adapter size for tuning.
  Possible values:
  - ADAPTER_SIZE_UNSPECIFIED - Adapter size is unspecified.
  - ADAPTER_SIZE_ONE - Adapter size 1.
  - ADAPTER_SIZE_TWO - Adapter size 2.
  - ADAPTER_SIZE_FOUR - Adapter size 4.
  - ADAPTER_SIZE_EIGHT - Adapter size 8.
  - ADAPTER_SIZE_SIXTEEN - Adapter size 16.
  - ADAPTER_SIZE_THIRTY_TWO - Adapter size 32.
- epoch_count
  Type: INT64
  Provider name: epochCount
  Description: Optional. Number of complete passes the model makes over the entire training dataset during training.
- learning_rate_multiplier
  Type: DOUBLE
  Provider name: learningRateMultiplier
  Description: Optional. Multiplier for adjusting the default learning rate.
training_dataset_uri
Type: STRING
Provider name: trainingDatasetUri
Description: Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
validation_dataset_uri
Type: STRING
Provider name: validationDatasetUri
Description: Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.

`tags`

Type: UNORDERED_LIST_STRING

`tuned_model`

Type: STRUCT
Provider name: tunedModel
Description: Output only. The tuned model resources associated with this TuningJob.

endpoint
Type: STRING
Provider name: endpoint
Description: Output only. A resource name of an Endpoint. Format: projects/{project}/locations/{location}/endpoints/{endpoint}.
model
Type: STRING
Provider name: model
Description: Output only. The resource name of the TunedModel. Format: projects/{project}/locations/{location}/models/{model}.

`tuned_model_display_name`

Type: STRING
Provider name: tunedModelDisplayName
Description: Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.

`tuning_data_stats`

Type: STRUCT
Provider name: tuningDataStats
Description: Output only. The tuning data statistics associated with this TuningJob.

supervised_tuning_data_stats
Type: STRUCT
Provider name: supervisedTuningDataStats
Description: The SFT Tuning data stats.
- dropped_example_reasons
  Type: UNORDERED_LIST_STRING
  Provider name: droppedExampleReasons
  Description: Output only. For each index in truncated_example_indices, the user-facing reason why the example was dropped. Must not include example itself.
- total_billable_character_count
  Type: INT64
  Provider name: totalBillableCharacterCount
  Description: Output only. Number of billable characters in the tuning dataset.
- total_billable_token_count
  Type: INT64
  Provider name: totalBillableTokenCount
  Description: Output only. Number of billable tokens in the tuning dataset.
- total_truncated_example_count
  Type: INT64
  Provider name: totalTruncatedExampleCount
  Description: Output only. The number of examples in the dataset that have been dropped. An example can be dropped for reasons including: too many tokens, contains an invalid image, contains too many images, etc.
- total_tuning_character_count
  Type: INT64
  Provider name: totalTuningCharacterCount
  Description: Output only. Number of tuning characters in the tuning dataset.
- truncated_example_indices
  Type: UNORDERED_LIST_INT64
  Provider name: truncatedExampleIndices
  Description: Output only. A partial sample of the indices (starting from 1) of the dropped examples.
- tuning_dataset_example_count
  Type: INT64
  Provider name: tuningDatasetExampleCount
  Description: Output only. Number of examples in the tuning dataset.
- tuning_step_count
  Type: INT64
  Provider name: tuningStepCount
  Description: Output only. Number of tuning steps for this Tuning Job.
- user_dataset_examples
  Type: UNORDERED_LIST_STRUCT
  Provider name: userDatasetExamples
  Description: Output only. Sample user messages in the training dataset uri.
  - parts
    Type: UNORDERED_LIST_STRUCT
    Provider name: parts
    Description: Required. Ordered Parts that constitute a single message. Parts may have different IANA MIME types.
    - code_execution_result
      Type: STRUCT
      Provider name: codeExecutionResult
      Description: Optional. Result of executing the [ExecutableCode].
      - outcome
        Type: STRING
        Provider name: outcome
        Description: Required. Outcome of the code execution.
        Possible values:
        OUTCOME_UNSPECIFIED - Unspecified status. This value should not be used.
        OUTCOME_OK - Code execution completed successfully.
        OUTCOME_FAILED - Code execution finished but with a failure. stderr should contain the reason.
        OUTCOME_DEADLINE_EXCEEDED - Code execution ran for too long, and was cancelled. There may or may not be a partial output present.
      - output
        Type: STRING
        Provider name: output
        Description: Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
    - executable_code
      Type: STRUCT
      Provider name: executableCode
      Description: Optional. Code generated by the model that is meant to be executed.
      - code
        Type: STRING
        Provider name: code
        Description: Required. The code to be executed.
      - language
        Type: STRING
        Provider name: language
        Description: Required. Programming language of the code.
        Possible values:
        LANGUAGE_UNSPECIFIED - Unspecified language. This value should not be used.
        PYTHON - Python >= 3.10, with numpy and simpy available.
    - file_data
      Type: STRUCT
      Provider name: fileData
      Description: Optional. URI based data.
      - file_uri
        Type: STRING
        Provider name: fileUri
        Description: Required. URI.
      - gcp_display_name
        Type: STRING
        Provider name: displayName
        Description: Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
      - mime_type
        Type: STRING
        Provider name: mimeType
        Description: Required. The IANA standard MIME type of the source data.
    - function_call
      Type: STRUCT
      Provider name: functionCall
      Description: Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
      - name
        Type: STRING
        Provider name: name
        Description: Required. The name of the function to call. Matches [FunctionDeclaration.name].
    - function_response
      Type: STRUCT
      Provider name: functionResponse
      Description: Optional. The result output of a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function call. It is used as context to the model.
      - name
        Type: STRING
        Provider name: name
        Description: Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name].
    - inline_data
      Type: STRUCT
      Provider name: inlineData
      Description: Optional. Inlined bytes data.
      - gcp_display_name
        Type: STRING
        Provider name: displayName
        Description: Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
      - mime_type
        Type: STRING
        Provider name: mimeType
        Description: Required. The IANA standard MIME type of the source data.
    - text
      Type: STRING
      Provider name: text
      Description: Optional. Text part (can be code).
    - video_metadata
      Type: STRUCT
      Provider name: videoMetadata
      Description: Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.
      - end_offset
        Type: STRING
        Provider name: endOffset
        Description: Optional. The end offset of the video.
      - start_offset
        Type: STRING
        Provider name: startOffset
        Description: Optional. The start offset of the video.
  - role
    Type: STRING
    Provider name: role
    Description: Optional. The producer of the content. Must be either ‘user’ or ‘model’. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
- user_input_token_distribution
  Type: STRUCT
  Provider name: userInputTokenDistribution
  Description: Output only. Dataset distributions for the user input tokens.
  - billable_sum
    Type: INT64
    Provider name: billableSum
    Description: Output only. Sum of a given population of values that are billable.
  - buckets
    Type: UNORDERED_LIST_STRUCT
    Provider name: buckets
    Description: Output only. Defines the histogram bucket.
    - count
      Type: DOUBLE
      Provider name: count
      Description: Output only. Number of values in the bucket.
    - left
      Type: DOUBLE
      Provider name: left
      Description: Output only. Left bound of the bucket.
    - right
      Type: DOUBLE
      Provider name: right
      Description: Output only. Right bound of the bucket.
  - max
    Type: DOUBLE
    Provider name: max
    Description: Output only. The maximum of the population values.
  - mean
    Type: DOUBLE
    Provider name: mean
    Description: Output only. The arithmetic mean of the values in the population.
  - median
    Type: DOUBLE
    Provider name: median
    Description: Output only. The median of the values in the population.
  - min
    Type: DOUBLE
    Provider name: min
    Description: Output only. The minimum of the population values.
  - p5
    Type: DOUBLE
    Provider name: p5
    Description: Output only. The 5th percentile of the values in the population.
  - p95
    Type: DOUBLE
    Provider name: p95
    Description: Output only. The 95th percentile of the values in the population.
  - sum
    Type: INT64
    Provider name: sum
    Description: Output only. Sum of a given population of values.
- user_message_per_example_distribution
  Type: STRUCT
  Provider name: userMessagePerExampleDistribution
  Description: Output only. Dataset distributions for the messages per example.
  - billable_sum
    Type: INT64
    Provider name: billableSum
    Description: Output only. Sum of a given population of values that are billable.
  - buckets
    Type: UNORDERED_LIST_STRUCT
    Provider name: buckets
    Description: Output only. Defines the histogram bucket.
    - count
      Type: DOUBLE
      Provider name: count
      Description: Output only. Number of values in the bucket.
    - left
      Type: DOUBLE
      Provider name: left
      Description: Output only. Left bound of the bucket.
    - right
      Type: DOUBLE
      Provider name: right
      Description: Output only. Right bound of the bucket.
  - max
    Type: DOUBLE
    Provider name: max
    Description: Output only. The maximum of the population values.
  - mean
    Type: DOUBLE
    Provider name: mean
    Description: Output only. The arithmetic mean of the values in the population.
  - median
    Type: DOUBLE
    Provider name: median
    Description: Output only. The median of the values in the population.
  - min
    Type: DOUBLE
    Provider name: min
    Description: Output only. The minimum of the population values.
  - p5
    Type: DOUBLE
    Provider name: p5
    Description: Output only. The 5th percentile of the values in the population.
  - p95
    Type: DOUBLE
    Provider name: p95
    Description: Output only. The 95th percentile of the values in the population.
  - sum
    Type: INT64
    Provider name: sum
    Description: Output only. Sum of a given population of values.
- user_output_token_distribution
  Type: STRUCT
  Provider name: userOutputTokenDistribution
  Description: Output only. Dataset distributions for the user output tokens.
  - billable_sum
    Type: INT64
    Provider name: billableSum
    Description: Output only. Sum of a given population of values that are billable.
  - buckets
    Type: UNORDERED_LIST_STRUCT
    Provider name: buckets
    Description: Output only. Defines the histogram bucket.
    - count
      Type: DOUBLE
      Provider name: count
      Description: Output only. Number of values in the bucket.
    - left
      Type: DOUBLE
      Provider name: left
      Description: Output only. Left bound of the bucket.
    - right
      Type: DOUBLE
      Provider name: right
      Description: Output only. Right bound of the bucket.
  - max
    Type: DOUBLE
    Provider name: max
    Description: Output only. The maximum of the population values.
  - mean
    Type: DOUBLE
    Provider name: mean
    Description: Output only. The arithmetic mean of the values in the population.
  - median
    Type: DOUBLE
    Provider name: median
    Description: Output only. The median of the values in the population.
  - min
    Type: DOUBLE
    Provider name: min
    Description: Output only. The minimum of the population values.
  - p5
    Type: DOUBLE
    Provider name: p5
    Description: Output only. The 5th percentile of the values in the population.
  - p95
    Type: DOUBLE
    Provider name: p95
    Description: Output only. The 95th percentile of the values in the population.
  - sum
    Type: INT64
    Provider name: sum
    Description: Output only. Sum of a given population of values.

`update_time`

Type: TIMESTAMP
Provider name: updateTime
Description: Output only. Time when the TuningJob was most recently updated.