final case class FineTuningJob(id: String, createdAt: Int, error: Optional[FineTuningJob.Error], fineTunedModel: Optional[String], finishedAt: Optional[Int], hyperparameters: Hyperparameters, model: String, object: String, organizationId: String, resultFiles: Chunk[String], status: String, trainedTokens: Optional[Int], trainingFile: String, validationFile: Optional[String]) extends Product with Serializable

FineTuningJob model

The fine_tuning.job object represents a fine-tuning job that has been created through the API.

id

The object identifier, which can be referenced in the API endpoints.

createdAt

The Unix timestamp (in seconds) for when the fine-tuning job was created.

error

For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.

fineTunedModel

The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.

finishedAt

The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.

hyperparameters

The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.

model

The base model that is being fine-tuned.

object

The object type, which is always "fine_tuning.job".

organizationId

The organization that owns the fine-tuning job.

resultFiles

The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents).

status

The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.

trainedTokens

The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.

trainingFile

The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).

validationFile

The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents).

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Instance Constructors

  1. new FineTuningJob(id: String, createdAt: Int, error: Optional[FineTuningJob.Error], fineTunedModel: Optional[String], finishedAt: Optional[Int], hyperparameters: Hyperparameters, model: String, object: String, organizationId: String, resultFiles: Chunk[String], status: String, trainedTokens: Optional[Int], trainingFile: String, validationFile: Optional[String])

    id

    The object identifier, which can be referenced in the API endpoints.

    createdAt

    The Unix timestamp (in seconds) for when the fine-tuning job was created.

    error

    For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.

    fineTunedModel

    The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.

    finishedAt

    The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.

    hyperparameters

    The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.

    model

    The base model that is being fine-tuned.

    object

    The object type, which is always "fine_tuning.job".

    organizationId

    The organization that owns the fine-tuning job.

    resultFiles

    The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents).

    status

    The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.

    trainedTokens

    The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.

    trainingFile

    The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents).

    validationFile

    The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents).

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. val createdAt: Int
  7. final def eq(arg0: AnyRef): Boolean
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  8. val error: Optional[FineTuningJob.Error]
  9. def finalize(): Unit
    Attributes
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    @throws(classOf[java.lang.Throwable])
  10. val fineTunedModel: Optional[String]
  11. val finishedAt: Optional[Int]
  12. final def getClass(): Class[_ <: AnyRef]
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    @native()
  13. val hyperparameters: Hyperparameters
  14. val id: String
  15. final def isInstanceOf[T0]: Boolean
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  16. val model: String
  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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    @native()
  19. final def notifyAll(): Unit
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    @native()
  20. val object: String
  21. val organizationId: String
  22. def productElementNames: Iterator[String]
    Definition Classes
    Product
  23. val resultFiles: Chunk[String]
  24. val status: String
  25. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  26. val trainedTokens: Optional[Int]
  27. val trainingFile: String
  28. val validationFile: Optional[String]
  29. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])
  30. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  31. final def wait(arg0: Long): Unit
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    @throws(classOf[java.lang.InterruptedException]) @native()

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