The Unix timestamp (in seconds) for when the fine-tuning job was created.
For fine-tuning jobs that have failed, this will contain more information on
the cause of the failure.
Optionalestimated_The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running.
The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
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.
The hyperparameters used for the fine-tuning job. See the fine-tuning guide for more details.
The object identifier, which can be referenced in the API endpoints.
OptionalintegrationsA list of integrations to enable for this fine-tuning job.
The base model that is being fine-tuned.
The object type, which is always "fine_tuning.job".
The organization that owns the fine-tuning job.
The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the Files API.
The seed used for the fine-tuning job.
The current status of the fine-tuning job, which can be either
validating_files, queued, running, succeeded, failed, or cancelled.
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.
The file ID used for training. You can retrieve the training data with the Files API.
The file ID used for validation. You can retrieve the validation results with the Files API.
The
fine_tuning.jobobject represents a fine-tuning job that has been created through the API.