Microsoft Azure Open Ai API Version 20230515

swagger: '2.0'
info:
  title: Microsoft Azure Azure OpenAI API version 2023-05-15
  description: APIs for fine-tuning and managing deployments of OpenAI models.
  version: '2023-05-15'
paths:
  /files:
    get:
      tags:
        - 'Files:'
      summary: "Microsoft Azure Gets A List Of All Files Owned By The Azure Openai Resource \r\nthese Include User Uploaded Content Like Files With Purpose \"fine Tune\" For Training Or Validation Of Fine Tunes Models\r\nas Well As Files That Are Generated By The Service Such As \"fine Tune Results\" Which Contains Various Metrics For The Corresponding Fine Tune Job"
      operationId: microsoftAzureFilesList
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/FileList'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting all files owned by this account.:
          $ref: ./examples/get_files.json
      description: Needs a more full description created.
    post:
      tags:
        - 'Files:'
      summary: >-
        Microsoft Azure Creates A New File Entity By Uploading Data From A Local Machine Uploaded Files Can, For Example, Be Used For Training Or Evaluating Fine Tuned Models
      operationId: microsoftAzureFilesUpload
      consumes:
        - multipart/form-data
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
        - in: formData
          name: purpose
          description: >-
            The intended purpose of the uploaded documents. Use "fine-tune" for
            fine-tuning. This allows us to validate the format of the uploaded
            file.
          required: true
          type: string
          enum:
            - fine-tune
            - fine-tune-results
          x-ms-enum:
            name: Purpose
            modelAsString: true
            values:
              - value: fine-tune
                description: This file contains training data for a fine tune job.
              - value: fine-tune-results
                description: This file contains the results of a fine tune job.
        - in: formData
          name: file
          description: Gets or sets the file to upload into Azure OpenAI.
          required: true
          type: file
      responses:
        '201':
          description: The file has been successfully created.
          schema:
            $ref: '#/definitions/File'
          headers:
            Location:
              description: The location of the newly created item.
              type: string
              format: url
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Upload a file.:
          $ref: ./examples/upload_file.json
      description: Needs a more full description created.
  /files/{file-id}:
    get:
      tags:
        - 'Files:'
      summary: >-
        Microsoft Azure Gets Details For A Single File Specified By The Given File Id Including Status, Size, Purpose, Etc
      operationId: microsoftAzureFilesGet
      produces:
        - application/json
      parameters:
        - in: path
          name: file-id
          description: The identifier of the file.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/File'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting a file.:
          $ref: ./examples/get_file.json
      description: Needs a more full description created.
    delete:
      tags:
        - 'Files:'
      summary: "Microsoft Azure Deletes The File With The Given File Id \r\ndeletion Is Also Allowed If A File Was Used, E G , As Training File In A Fine Tune Job"
      operationId: microsoftAzureFilesDelete
      produces:
        - application/json
      parameters:
        - in: path
          name: file-id
          description: The identifier of the file.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '204':
          description: The file was successfully deleted.
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Deleting a file.:
          $ref: ./examples/delete_file.json
      description: Needs a more full description created.
  /files/{file-id}/content:
    get:
      tags:
        - 'Files:'
      summary: "Microsoft Azure Gets The Content Of The File Specified By The Given File Id \r\nfiles Can Be User Uploaded Content Or Generated By The Service Like Result Metrics Of A Fine Tune Job"
      operationId: microsoftAzureFilesGetcontent
      produces:
        - application/octet-stream
        - application/json
      parameters:
        - in: path
          name: file-id
          description: The identifier of the file.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            type: file
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting the file content.:
          $ref: ./examples/get_file_content.json
      description: Needs a more full description created.
  /files/import:
    post:
      tags:
        - 'Files:'
      summary: >-
        Microsoft Azure Creates A New File Entity By Importing Data From A Provided Url Uploaded Files Can, For Example, Be Used For Training Or Evaluating Fine Tuned Models
      operationId: microsoftAzureFilesImport
      consumes:
        - application/json
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
        - in: body
          name: fileImport
          description: >-
            The definition of the file to create including its purpose, the file
            name and the url of the file location.
          required: true
          schema:
            $ref: '#/definitions/FileImport'
      responses:
        '201':
          description: The file has been successfully created.
          schema:
            $ref: '#/definitions/File'
          headers:
            Location:
              description: The location of the newly created item.
              type: string
              format: url
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Importing a file with a blob url as source.:
          $ref: ./examples/import_file.json
      description: Needs a more full description created.
  /fine-tunes:
    get:
      tags:
        - 'Fine-Tunes:'
      summary: "Microsoft Azure Gets A List Of All Fine Tune Jobs Owned By The Azure Openai Resource \r\nthe Details That Are Returned For Each Fine Tune Job Contain Besides Its Identifier\r\nthe Base Model, Training And Validation Files, Hyper Parameters, Time Stamps, Status And Events \r\nevents Are Created When The Job Status Changes, E G Running Or Complete, And When Results Are Uploaded"
      operationId: microsoftAzureFinetunesList
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/FineTuneList'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting all fine tune jobs owned by this account.:
          $ref: ./examples/get_finetunes.json
      description: Needs a more full description created.
    post:
      tags:
        - 'Fine-Tunes:'
      summary: "Microsoft Azure Creates A Job That Fine Tunes A Specified Model From A Given Training File \r\nresponse Includes Details Of The Enqueued Job Including Job Status And Hyper Parameters \r\nthe Name Of The Fine Tuned Model Is Added To The Response Once Complete"
      operationId: microsoftAzureFinetunesCreate
      consumes:
        - application/json
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
        - in: body
          name: fineTune
          description: "The specification of the fine-tuned model to create.\r\nRequired parameters are the base model and the training file to use.\r\nOptionally a validation file can be specified to compute validation metrics during training.\r\nHyper parameters will be set to default values or can by optionally specified.\r\nThese include batch size, learning rate multiplier, number of epochs and others."
          required: true
          schema:
            $ref: '#/definitions/FineTuneCreation'
      responses:
        '201':
          description: The fine tune has been successfully created.
          schema:
            $ref: '#/definitions/FineTune'
          headers:
            Location:
              description: The location of the newly created item.
              type: string
              format: url
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Creating a fine tune job.:
          $ref: ./examples/post_finetune.json
        Creating a fine tune job for classification.:
          $ref: ./examples/post_classification_finetune.json
      description: Needs a more full description created.
  /fine-tunes/{fine-tune-id}:
    get:
      tags:
        - 'Fine-Tunes:'
      summary: "Microsoft Azure Gets Details For A Single Fine Tune Job Specified By The Given Fine Tune Id \r\nthe Details Contain The Base Model, Training And Validation Files, Hyper Parameters, Time Stamps, Status And Events \r\nevents Are Created When The Job Status Changes, E G Running Or Complete, And When Results Are Uploaded"
      operationId: microsoftAzureFinetunesGet
      produces:
        - application/json
      parameters:
        - in: path
          name: fine-tune-id
          description: The identifier of the fine-tune job.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/FineTune'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting a fine tune job.:
          $ref: ./examples/get_finetune.json
      description: Needs a more full description created.
    delete:
      tags:
        - 'Fine-Tunes:'
      summary: 'Microsoft Azure Deletes The Fine Tune Job Specified By The Given Fine Tune Id'
      operationId: microsoftAzureFinetunesDelete
      produces:
        - application/json
      parameters:
        - in: path
          name: fine-tune-id
          description: The identifier of the fine-tune job.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '204':
          description: The fine tune was successfully deleted.
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Deleting a fine tune job.:
          $ref: ./examples/delete_finetune.json
      description: Needs a more full description created.
  /fine-tunes/{fine-tune-id}/events:
    get:
      tags:
        - 'Fine-Tunes:'
      summary: "Microsoft Azure Gets The Events For The Fine Tune Job Specified By The Given Fine Tune Id \r\nevents Are Created When The Job Status Changes, E G Running Or Complete, And When Results Are Uploaded"
      operationId: microsoftAzureFinetunesGetevents
      produces:
        - application/json
        - text/event-stream
      parameters:
        - in: path
          name: fine-tune-id
          description: The identifier of the fine-tune job.
          required: true
          type: string
        - in: query
          name: stream
          description: "A flag indicating whether to stream events for the fine-tune job. If set to true,\r\n            events will be sent as data-only server-sent events as they become available. The stream will terminate with\r\n            a data: [DONE] message when the job is finished (succeeded, cancelled, or failed).\r\n            If set to false, only events generated so far will be returned.."
          type: boolean
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/EventList'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting events of a fine tune job.:
          $ref: ./examples/get_finetune_events.json
      description: Needs a more full description created.
  /fine-tunes/{fine-tune-id}/cancel:
    post:
      tags:
        - 'Fine-Tunes:'
      summary: >-
        Microsoft Azure Cancels The Processing Of The Fine Tune Job Specified By The Given Fine Tune Id
      operationId: microsoftAzureFinetunesCancel
      produces:
        - application/json
      parameters:
        - in: path
          name: fine-tune-id
          description: The identifier of the fine-tune job.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: The fine tune has been successfully canceled
          schema:
            $ref: '#/definitions/FineTune'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Canceling a fine tune job.:
          $ref: ./examples/cancel_finetune.json
      description: Needs a more full description created.
  /models:
    get:
      tags:
        - 'Models:'
      summary: "Microsoft Azure Gets A List Of All Models That Are Accessible By The Azure Openai Resource \r\nthese Include Base Models As Well As All Successfully Completed Fine Tuned Models Owned By The Azure Openai Resource"
      operationId: microsoftAzureModelsList
      produces:
        - application/json
      parameters:
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/ModelList'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting all models owned by account.:
          $ref: ./examples/get_models.json
      description: Needs a more full description created.
  /models/{model-id}:
    get:
      tags:
        - 'Models:'
      summary: 'Microsoft Azure Gets Details For The Model Specified By The Given Modelid'
      operationId: microsoftAzureModelsGet
      produces:
        - application/json
      parameters:
        - in: path
          name: model-id
          description: The identifier of the model.
          required: true
          type: string
        - $ref: '#/parameters/apiVersionQueryParameter'
      responses:
        '200':
          description: Success
          schema:
            $ref: '#/definitions/Model'
        default:
          description: An error occurred.
          schema:
            $ref: '#/definitions/ErrorResponse'
      x-ms-examples:
        Getting a base model.:
          $ref: ./examples/get_model_base.json
        Getting a fine-tuned model.:
          $ref: ./examples/get_model_finetune.json
      description: Needs a more full description created.
definitions:
  Capabilities:
    title: Capabilities
    description: The capabilities of a base or fine tune model.
    required:
      - chat_completion
      - completion
      - embeddings
      - fine_tune
      - inference
    type: object
    properties:
      fine_tune:
        description: A value indicating whether a model can be used for fine tuning.
        type: boolean
      inference:
        description: A value indicating whether a model can be deployed.
        type: boolean
      completion:
        description: A value indicating whether a model supports completion.
        type: boolean
      chat_completion:
        description: A value indicating whether a model supports chat completion.
        type: boolean
      embeddings:
        description: A value indicating whether a model supports embeddings.
        type: boolean
  Deprecation:
    title: Deprecation
    description: "Defines the dates of deprecation for the different use cases of a model.\r\nUsually base models support 1 year of fine tuning after creation. Inference is typically supported 2 years after creation of base or\r\nfine tuned models. The exact dates are specified in the properties."
    required:
      - inference
    type: object
    properties:
      fine_tune:
        format: unixtime
        description: >-
          The end date of fine tune support of this model. Will be `null` for
          fine tune models.
        type: integer
      inference:
        format: unixtime
        description: The end date of inference support of this model.
        type: integer
  Error:
    title: Error
    description: "Error content as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
    required:
      - code
      - message
    type: object
    properties:
      code:
        $ref: '#/definitions/ErrorCode'
      message:
        description: The message of this error.
        minLength: 1
        type: string
      target:
        description: The location where the error happened if available.
        type: string
      details:
        description: The error details if available.
        type: array
        items:
          $ref: '#/definitions/Error'
      innererror:
        $ref: '#/definitions/InnerError'
  ErrorCode:
    title: ErrorCode
    description: "Error codes as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
    enum:
      - conflict
      - invalidPayload
      - forbidden
      - notFound
      - unexpectedEntityState
      - itemDoesAlreadyExist
      - serviceUnavailable
      - internalFailure
      - quotaExceeded
      - jsonlValidationFailed
      - fileImportFailed
    type: string
    x-ms-enum:
      name: ErrorCode
      modelAsString: true
      values:
        - value: conflict
          description: The requested operation conflicts with the current resource state.
        - value: invalidPayload
          description: The request data is invalid for this operation.
        - value: forbidden
          description: The operation is forbidden for the current user/api key.
        - value: notFound
          description: The resource is not found.
        - value: unexpectedEntityState
          description: The operation cannot be executed in the current resource's state.
        - value: itemDoesAlreadyExist
          description: The item does already exist.
        - value: serviceUnavailable
          description: The service is currently not available.
        - value: internalFailure
          description: Internal error. Please retry.
        - value: quotaExceeded
          description: Quota exceeded.
        - value: jsonlValidationFailed
          description: Validation of jsonl data failed.
        - value: fileImportFailed
          description: Import of file failed.
  ErrorResponse:
    title: ErrorResponse
    description: "Error response as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
    required:
      - error
    type: object
    properties:
      error:
        $ref: '#/definitions/Error'
  Event:
    title: Event
    required:
      - created_at
      - level
      - message
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      created_at:
        format: unixtime
        description: A timestamp when this event was created (in unix epochs).
        type: integer
      level:
        $ref: '#/definitions/LogLevel'
      message:
        description: >-
          The message describing the event. This can be a change of state, e.g.,
          enqueued, started, failed or completed, or other events like uploaded
          results.
        minLength: 1
        type: string
  EventList:
    title: EventList
    description: Represents a list of events.
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      data:
        description: The list of items.
        type: array
        items:
          $ref: '#/definitions/Event'
  File:
    title: File
    description: >-
      A file is a document usable for training and validation. It can also be a
      service generated document with result details.
    required:
      - filename
      - purpose
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      status:
        $ref: '#/definitions/State'
      created_at:
        format: unixtime
        description: A timestamp when this job or item was created (in unix epochs).
        type: integer
        readOnly: true
      updated_at:
        format: unixtime
        description: A timestamp when this job or item was modified last (in unix epochs).
        type: integer
        readOnly: true
      id:
        description: The identity of this item.
        type: string
        readOnly: true
      bytes:
        format: int64
        description: "The size of this file when available (can be null). File sizes larger than 2^53-1 are not supported to ensure compatibility\r\nwith JavaScript integers."
        type: integer
        readOnly: true
      purpose:
        $ref: '#/definitions/Purpose'
      filename:
        description: The name of the file.
        minLength: 1
        type: string
      statistics:
        $ref: '#/definitions/FileStatistics'
      error:
        $ref: '#/definitions/Error'
  FileImport:
    title: FileImport
    description: >-
      Defines a document to import from an external content url to be usable
      with Azure OpenAI.
    required:
      - content_url
      - filename
      - purpose
    type: object
    properties:
      purpose:
        $ref: '#/definitions/Purpose'
      filename:
        description: "The name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.\r\nIf the `purpose` is set to \"fine-tune\", each line is a JSON record with \"prompt\" and \"completion\" fields representing your training examples."
        minLength: 1
        type: string
      content_url:
        format: url
        description: >-
          The url to download the document from (can be SAS url of a blob or any
          other external url accessible with a GET request).
        type: string
  FileList:
    title: FileList
    description: Represents a list of files.
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      data:
        description: The list of items.
        type: array
        items:
          $ref: '#/definitions/File'
  FileStatistics:
    title: FileStatistics
    description: >-
      A file is a document usable for training and validation. It can also be a
      service generated document with result details.
    type: object
    properties:
      tokens:
        format: int32
        description: >-
          The number of tokens used in prompts and completions for files of kind
          "fine-tune" once validation of file content is complete.
        type: integer
      examples:
        format: int32
        description: >-
          The number of contained training examples in files of kind "fine-tune"
          once validation of file content is complete.
        type: integer
  FineTune:
    title: FineTune
    description: Fine tuning is a job to tailor a model to specific training data.
    required:
      - model
      - training_files
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      status:
        $ref: '#/definitions/State'
      created_at:
        format: unixtime
        description: A timestamp when this job or item was created (in unix epochs).
        type: integer
        readOnly: true
      updated_at:
        format: unixtime
        description: A timestamp when this job or item was modified last (in unix epochs).
        type: integer
        readOnly: true
      id:
        description: The identity of this item.
        type: string
        readOnly: true
      model:
        description: The identifier (model-id) of the base model used for the fine-tune.
        minLength: 1
        type: string
      fine_tuned_model:
        description: "The identifier (model-id) of the resulting fine tuned model. This property is only populated for successfully completed fine-tune runs.\r\nUse this identifier to create a deployment for inferencing."
        type: string
      training_files:
        description: >-
          The file identities (file-id) that are used for training the fine
          tuned model.
        type: array
        items:
          $ref: '#/definitions/File'
      validation_files:
        description: >-
          The file identities (file-id) that are used to evaluate the fine tuned
          model during training.
        type: array
        items:
          $ref: '#/definitions/File'
      result_files:
        description: "The result file identities (file-id) containing training and evaluation metrics in csv format.\r\nThe file is only available for successfully completed fine-tune runs."
        type: array
        items:
          $ref: '#/definitions/File'
      events:
        description: >-
          The events that show the progress of the fine-tune run including
          queued, running and completed.
        type: array
        items:
          $ref: '#/definitions/Event'
      organisation_id:
        description: >-
          The organisation id of this fine tune job. Unused on Azure OpenAI;
          compatibility for OpenAI only.
        type: string
      user_id:
        description: >-
          The user id of this fine tune job. Unused on Azure OpenAI;
          compatibility for OpenAI only.
        type: string
      hyperparams:
        $ref: '#/definitions/HyperParameters'
      suffix:
        description: The suffix used to identify the fine-tuned model.
        type: string
      error:
        $ref: '#/definitions/Error'
  FineTuneCreation:
    title: FineTuneCreation
    description: Defines the values of a fine tune job.
    required:
      - model
      - training_file
    type: object
    properties:
      model:
        description: The identifier (model-id) of the base model used for this fine-tune.
        minLength: 1
        type: string
      training_file:
        description: >-
          The file identity (file-id) that is used for training this fine tuned
          model.
        minLength: 1
        type: string
      validation_file:
        description: >-
          The file identity (file-id) that is used to evaluate the fine tuned
          model during training.
        type: string
      suffix:
        description: >-
          The suffix used to identify the fine-tuned model. The suffix can
          contain up to 40 characters (a-z, A-Z, 0-9,- and _) that will be added
          to your fine-tuned model name.
        type: string
      n_epochs:
        format: int32
        description: >-
          The number of epochs to train the model for. An epoch refers to one
          full cycle through the training dataset.
        type: integer
      batch_size:
        format: int32
        description: "The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass.\r\nIn general, we've found that larger batch sizes tend to work better for larger datasets.\r\nThe default value as well as the maximum value for this property are specific to a base model."
        type: integer
      learning_rate_multiplier:
        format: double
        description: "The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pre-training multiplied by this value.\r\nLarger learning rates tend to perform better with larger batch sizes.\r\nWe recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results."
        type: number
      prompt_loss_weight:
        format: double
        description: "The weight to use for loss on the prompt tokens. This controls how much the model tries to learn to generate the prompt\r\n(as compared to the completion which always has a weight of 1.0), and can add a stabilizing effect to training when completions are short.\r\nIf prompts are extremely long (relative to completions), it may make sense to reduce this weight so as to avoid over-prioritizing learning the prompt."
        type: number
      compute_classification_metrics:
        description: "A value indicating whether to compute classification metrics.\r\nIf set, we calculate classification-specific metrics such as accuracy and F-1 score using the validation set at the end of every epoch.\r\nThese metrics can be viewed in the results file. In order to compute classification metrics, you must provide a validation_file.Additionally,\r\nyou must specify classification_n_classes for multiclass classification or classification_positive_class for binary classification."
        type: boolean
      classification_n_classes:
        format: int32
        description: "The number of classes in a classification task.\r\nThis parameter is required for multiclass classification."
        type: integer
      classification_positive_class:
        description: "The positive class in binary classification.\r\nThis parameter is needed to generate precision, recall, and F1 metrics when doing binary classification."
        type: string
      classification_betas:
        description: "The classification beta values. If this is provided, we calculate F-beta scores at the specified beta values.\r\nThe F-beta score is a generalization of F-1 score. This is only used for binary classification.\r\nWith a beta of 1 (i.e.the F-1 score), precision and recall are given the same weight.\r\nA larger beta score puts more weight on recall and less on precision. A smaller beta score puts more weight on precision and less on recall."
        type: array
        items:
          format: double
          type: number
  FineTuneList:
    title: FineTuneList
    description: Represents a list of fine tunes.
    type: object
    properties:
      object:
        $ref: '#/definitions/TypeDiscriminator'
      data:
        description: The list of items.
        type: array
        items:
          $ref: '#/definitions/FineTune'
  HyperParameters:
    title: HyperParameters
    description: The hyper parameter settings used in a fine tune job.
    type: object
    properties:
      batch_size:
        format: int32
        description: "The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass.\r\nIn general, we've found that larger batch sizes tend to work better for larger datasets.\r\nThe default value as well as the maximum value for this property are specific to a base model."
        type: integer
      learning_rate_multiplier:
        format: double
        description: "The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pre-training multiplied by this value.\r\nLarger le

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