REST Resource: projects.locations.tuningJobs

Resource: TuningJob

Represents a TuningJob that runs with Google owned models.

Fields
name string

Output only. Identifier. Resource name of a TuningJob. Format: projects/{project}/locations/{location}/tuningJobs/{tuningJob}

tunedModelDisplayName 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.

description string

Optional. The description of the TuningJob.

state enum (JobState)

Output only. The detailed state of the job.

createTime string (Timestamp format)

Output only. time when the TuningJob was created.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

startTime string (Timestamp format)

Output only. time when the TuningJob for the first time entered the JOB_STATE_RUNNING state.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

endTime string (Timestamp format)

Output only. time when the TuningJob entered any of the following JobStates: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED, JOB_STATE_EXPIRED.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

updateTime string (Timestamp format)

Output only. time when the TuningJob was most recently updated.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

error object (Status)

Output only. Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

labels map (key: string, value: 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.

experiment string

Output only. The Experiment associated with this TuningJob.

tunedModel object (TunedModel)

Output only. The tuned model resources assiociated with this TuningJob.

tuningDataStats object (TuningDataStats)

Output only. The tuning data statistics associated with this TuningJob.

encryptionSpec object (EncryptionSpec)

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.

Union field source_model.

source_model can be only one of the following:

baseModel string

The base model that is being tuned, e.g., "gemini-1.0-pro-002".

Union field tuning_spec.

tuning_spec can be only one of the following:

supervisedTuningSpec object (SupervisedTuningSpec)

Tuning Spec for Supervised Fine Tuning.

JSON representation 
{
  "name": string,
  "tunedModelDisplayName": string,
  "description": string,
  "state": enum (JobState),
  "createTime": string,
  "startTime": string,
  "endTime": string,
  "updateTime": string,
  "error": {
    object (Status)
  },
  "labels": {
    string: string,
    ...
  },
  "experiment": string,
  "tunedModel": {
    object (TunedModel)
  },
  "tuningDataStats": {
    object (TuningDataStats)
  },
  "encryptionSpec": {
    object (EncryptionSpec)
  },

  // Union field source_model can be only one of the following:
  "baseModel": string
  // End of list of possible types for union field source_model.

  // Union field tuning_spec can be only one of the following:
  "supervisedTuningSpec": {
    object (SupervisedTuningSpec)
  }
  // End of list of possible types for union field tuning_spec.
}

SupervisedTuningSpec

Tuning Spec for Supervised Tuning for first party models.

Fields
trainingDatasetUri string

Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.

validationDatasetUri string

Optional. Cloud Storage path to file containing validation dataset for tuning. The dataset must be formatted as a JSONL file.

hyperParameters object (SupervisedHyperParameters)

Optional. Hyperparameters for SFT.

JSON representation 
{
  "trainingDatasetUri": string,
  "validationDatasetUri": string,
  "hyperParameters": {
    object (SupervisedHyperParameters)
  }
}

SupervisedHyperParameters

Hyperparameters for SFT.

Fields
epochCount string (int64 format)

Optional. Number of complete passes the model makes over the entire training dataset during training.

learningRateMultiplier number

Optional. Multiplier for adjusting the default learning rate.

adapterSize enum (AdapterSize)

Optional. Adapter size for tuning.

JSON representation 
{
  "epochCount": string,
  "learningRateMultiplier": number,
  "adapterSize": enum (AdapterSize)
}

AdapterSize

Supported adapter sizes for tuning.

Enums
ADAPTER_SIZE_UNSPECIFIED Adapter size is unspecified.
ADAPTER_SIZE_ONE Adapter size 1.
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.

JobState

Describes the state of a job.

Enums
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.

TunedModel

The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.

Fields
model string

Output only. The resource name of the TunedModel. Format: projects/{project}/locations/{location}/models/{model}.

endpoint string

Output only. A resource name of an Endpoint. Format: projects/{project}/locations/{location}/endpoints/{endpoint}.

JSON representation 
{
  "model": string,
  "endpoint": string
}

TuningDataStats

The tuning data statistic values for TuningJob.

Fields

Union field tuning_data_stats.

tuning_data_stats can be only one of the following:

supervisedTuningDataStats object (SupervisedTuningDataStats)

The SFT Tuning data stats.

JSON representation 
{

  // Union field tuning_data_stats can be only one of the following:
  "supervisedTuningDataStats": {
    object (SupervisedTuningDataStats)
  }
  // End of list of possible types for union field tuning_data_stats.
}

SupervisedTuningDataStats

Tuning data statistics for Supervised Tuning.

Fields
tuningDatasetExampleCount string (int64 format)

Output only. Number of examples in the tuning dataset.

totalTuningCharacterCount string (int64 format)

Output only. Number of tuning characters in the tuning dataset.

totalBillableCharacterCount
(deprecated) string (int64 format)

Output only. Number of billable characters in the tuning dataset.

totalBillableTokenCount string (int64 format)

Output only. Number of billable tokens in the tuning dataset.

tuningStepCount string (int64 format)

Output only. Number of tuning steps for this Tuning Job.

userInputTokenDistribution object (SupervisedTuningDatasetDistribution)

Output only. Dataset distributions for the user input tokens.

userOutputTokenDistribution object (SupervisedTuningDatasetDistribution)

Output only. Dataset distributions for the user output tokens.

userMessagePerExampleDistribution object (SupervisedTuningDatasetDistribution)

Output only. Dataset distributions for the messages per example.

userDatasetExamples[] object (Content)

Output only. Sample user messages in the training dataset uri.

totalTruncatedExampleCount string (int64 format)

The number of examples in the dataset that have been truncated by any amount.

truncatedExampleIndices[] string (int64 format)

A partial sample of the indices (starting from 1) of the truncated examples.

JSON representation 
{
  "tuningDatasetExampleCount": string,
  "totalTuningCharacterCount": string,
  "totalBillableCharacterCount": string,
  "totalBillableTokenCount": string,
  "tuningStepCount": string,
  "userInputTokenDistribution": {
    object (SupervisedTuningDatasetDistribution)
  },
  "userOutputTokenDistribution": {
    object (SupervisedTuningDatasetDistribution)
  },
  "userMessagePerExampleDistribution": {
    object (SupervisedTuningDatasetDistribution)
  },
  "userDatasetExamples": [
    {
      object (Content)
    }
  ],
  "totalTruncatedExampleCount": string,
  "truncatedExampleIndices": [
    string
  ]
}

SupervisedTuningDatasetDistribution

Dataset distribution for Supervised Tuning.

Fields
sum string (int64 format)

Output only. Sum of a given population of values.

billableSum string (int64 format)

Output only. Sum of a given population of values that are billable.

min number

Output only. The minimum of the population values.

max number

Output only. The maximum of the population values.

mean number

Output only. The arithmetic mean of the values in the population.

median number

Output only. The median of the values in the population.

p5 number

Output only. The 5th percentile of the values in the population.

p95 number

Output only. The 95th percentile of the values in the population.

buckets[] object (DatasetBucket)

Output only. Defines the histogram bucket.

JSON representation 
{
  "sum": string,
  "billableSum": string,
  "min": number,
  "max": number,
  "mean": number,
  "median": number,
  "p5": number,
  "p95": number,
  "buckets": [
    {
      object (DatasetBucket)
    }
  ]
}

DatasetBucket

Dataset bucket used to create a histogram for the distribution given a population of values.

Fields
count number

Output only. Number of values in the bucket.

left number

Output only. left bound of the bucket.

right number

Output only. Right bound of the bucket.

JSON representation 
{
  "count": number,
  "left": number,
  "right": number
}

Content

The base structured datatype containing multi-part content of a message.

A Content includes a role field designating the producer of the Content and a parts field containing multi-part data that contains the content of the message turn.

Fields
role string

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.

parts[] object (Part)

Required. Ordered Parts that constitute a single message. Parts may have different IANA MIME types.

JSON representation 
{
  "role": string,
  "parts": [
    {
      object (Part)
    }
  ]
}

Part

A datatype containing media that is part of a multi-part Content message.

A Part consists of data which has an associated datatype. A Part can only contain one of the accepted types in Part.data.

A Part must have a fixed IANA MIME type identifying the type and subtype of the media if inlineData or fileData field is filled with raw bytes.

Fields

Union field data.

data can be only one of the following:

text string

Optional. Text part (can be code).

inlineData object (Blob)

Optional. Inlined bytes data.

fileData object (FileData)

Optional. URI based data.

functionCall object (FunctionCall)

Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.

functionResponse object (FunctionResponse)

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.

Union field metadata.

metadata can be only one of the following:

videoMetadata object (VideoMetadata)

Optional. Video metadata. The metadata should only be specified while the video data is presented in inlineData or fileData.

JSON representation 
{

  // Union field data can be only one of the following:
  "text": string,
  "inlineData": {
    object (Blob)
  },
  "fileData": {
    object (FileData)
  },
  "functionCall": {
    object (FunctionCall)
  },
  "functionResponse": {
    object (FunctionResponse)
  }
  // End of list of possible types for union field data.

  // Union field metadata can be only one of the following:
  "videoMetadata": {
    object (VideoMetadata)
  }
  // End of list of possible types for union field metadata.
}

Blob

Content blob.

It's preferred to send as text directly rather than raw bytes.

Fields
mimeType string

Required. The IANA standard MIME type of the source data.

data string (bytes format)

Required. Raw bytes.

A base64-encoded string.

JSON representation 
{
  "mimeType": string,
  "data": string
}

FileData

URI based data.

Fields
mimeType string

Required. The IANA standard MIME type of the source data.

fileUri string

Required. URI.

JSON representation 
{
  "mimeType": string,
  "fileUri": string
}

FunctionCall

A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.

Fields
name string

Required. The name of the function to call. Matches [FunctionDeclaration.name].

args object (Struct format)

Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.

JSON representation 
{
  "name": string,
  "args": {
    object
  }
}

FunctionResponse

The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction.

Fields
name string

Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name].

response object (Struct format)

Required. The function response in JSON object format. Use "output" key to specify function output and "error" key to specify error details (if any). If "output" and "error" keys are not specified, then whole "response" is treated as function output.

JSON representation 
{
  "name": string,
  "response": {
    object
  }
}

VideoMetadata

metadata describes the input video content.

Fields
startOffset string (Duration format)

Optional. The start offset of the video.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".

endOffset string (Duration format)

Optional. The end offset of the video.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".

JSON representation 
{
  "startOffset": string,
  "endOffset": string
}

EncryptionSpec

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

Fields
kmsKeyName string

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.

JSON representation 
{
  "kmsKeyName": string
}

Methods

cancel

 Cancels a TuningJob.

create

 Creates a TuningJob.

get

 Gets a TuningJob.

list

 Lists TuningJobs in a Location.

rebaseTunedModel

 Rebase a TunedModel.