Sample - OpenAI API
POST/fine_tuning/jobs/{fine_tuning_job_id}/resume

Resume a fine-tuning job

Resumes a paused fine-tuning job. Supply the identifier of the job whose training process you want to continue. The response returns the updated job record, including its current status and training configuration.

  • RetriesRetries up to 2×, 500ms backoff, 30s timeout.

1 parameter
fine_tuning_job_idstringrequired
The identifier of the fine-tuning job to resume.

1 status code
200Returns the updated fine-tuning job object, including its identifier, status, model, files, result files, and lifecycle details.
idstringrequired
The object identifier, which can be referenced in the API endpoints.
created_atintegerrequired
The Unix timestamp (in seconds) for when the fine-tuning job was created.
errorobjectrequired
For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure.
fine_tuned_modelstringrequired
The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
finished_atintegerrequired
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.
hyperparametersobjectrequired
The hyperparameters used for the fine-tuning job. This value will only be returned when running `supervised` jobs.
modelstringrequired
The base model that is being fine-tuned.
objectstringrequired
The object type, which is always "fine_tuning.job".
Allowed:fine_tuning.job
organization_idstringrequired
The organization that owns the fine-tuning job.
result_filesarray<string>required
The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](https://developers.openai.com/api/reference/resources/files/methods/content).
statusstringrequired
The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
Allowed:validating_filesqueuedrunningsucceededfailedcancelled
trained_tokensintegerrequired
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.
training_filestringrequired
The file ID used for training. You can retrieve the training data with the [Files API](https://developers.openai.com/api/reference/resources/files/methods/content).
validation_filestringrequired
The file ID used for validation. You can retrieve the validation results with the [Files API](https://developers.openai.com/api/reference/resources/files/methods/content).
integrationsarray<FineTuningJobIntegration>optional
A list of integrations to enable for this fine-tuning job.
seedintegerrequired
The seed used for the fine-tuning job.
estimated_finishintegeroptional
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.
methodobjectoptional
The method used for fine-tuning.
metadataobjectoptional
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

Error handling

fine_tuning_job_id must identify the fine-tuning job to resume. Inspect the returned status to verify the job's state after the resume request.