class

OpenAI::FineTuningJob

Inherits JSON::Serializable < Reference < Object

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

Constructors

new(pull : JSON::PullParser)

new(id : String = "", created_at : Int64 = 0, error : FineTuningJobError = nil, fine_tuned_model : FineTuningJobFineTunedModel = nil, finished_at : FineTuningJobFinishedAt = nil, hyperparameters : FineTuningJobHyperparameters = FineTuningJobHyperparameters.new, model : String = "", object : FineTuningJobObject = FineTuningJobObject::FineTuningJob, organization_id : String = "", result_files : Array(String) = [] of String, status : FineTuningJobStatus = FineTuningJobStatus::ValidatingFiles, trained_tokens : FineTuningJobTrainedTokens = nil, training_file : String = "", validation_file : FineTuningJobValidationFile = nil, integrations : FineTuningJobIntegrations | Nil = nil, seed : Int64 = 0, estimated_finish : FineTuningJobEstimatedFinish | Nil = nil, method : FineTuneMethod | Nil = nil, metadata : Metadata | Nil = nil)

new(*, __pull_for_json_serializable pull : JSON::PullParser)

Instance methods

created_at

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

created_at=(created_at : Int64)

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

error

error=(error : FineTuningJobError)

estimated_finish

estimated_finish=(estimated_finish : FineTuningJobEstimatedFinish | Nil)

fine_tuned_model

fine_tuned_model=(fine_tuned_model : FineTuningJobFineTunedModel)

finished_at

finished_at=(finished_at : FineTuningJobFinishedAt)

hyperparameters

The hyperparameters used for the fine-tuning job. This value will only be returned when running supervised jobs.

hyperparameters=(hyperparameters : FineTuningJobHyperparameters)

The hyperparameters used for the fine-tuning job. This value will only be returned when running supervised jobs.

id

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

id=(id : String)

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

integrations

integrations=(integrations : FineTuningJobIntegrations | Nil)

metadata

metadata=(metadata : Metadata | Nil)

method

method=(method : FineTuneMethod | Nil)

model

The base model that is being fine-tuned.

model=(model : String)

The base model that is being fine-tuned.

object

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

object=(object : FineTuningJobObject)

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

organization_id

The organization that owns the fine-tuning job.

organization_id=(organization_id : String)

The organization that owns the fine-tuning job.

result_files

The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.

result_files=(result_files : Array(String))

The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.

seed

The seed used for the fine-tuning job.

seed=(seed : Int64)

The seed used for the fine-tuning job.

status

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

status=(status : FineTuningJobStatus)

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

trained_tokens

trained_tokens=(trained_tokens : FineTuningJobTrainedTokens)

training_file

The file ID used for training. You can retrieve the training data with the Files API.

training_file=(training_file : String)

The file ID used for training. You can retrieve the training data with the Files API.

validation_file

validation_file=(validation_file : FineTuningJobValidationFile)