Create a fine-tuning job

Creates a fine-tuning job which begins the process of creating a new model from a given dataset.

Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.

Learn more about fine-tuning

Authorizations

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

model · required

The name of the model to fine-tune. You can select one of the supported models.

Example:

"gpt-4o-mini"

training_file · string · required

The ID of an uploaded file that contains training data.

See upload file for how to upload a file.

Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose fine-tune.

The contents of the file should differ depending on if the model uses the chat, completions format, or if the fine-tuning method uses the preference format.

See the fine-tuning guide for more details.

Example:

"file-abc123"

hyperparameters · object · deprecated

The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of method, and should be passed in under the method parameter.

Show child attributes

suffix · string | null

A string of up to 64 characters that will be added to your fine-tuned model name.

For example, a suffix of "custom-model-name" would produce a model name like ft:gpt-4o-mini:openai:custom-model-name:7p4lURel.

Required string length: 1 - 64

validation_file · string | null

The ID of an uploaded file that contains validation data.

If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files.

Your dataset must be formatted as a JSONL file. You must upload your file with the purpose fine-tune.

See the fine-tuning guide for more details.

Example:

"file-abc123"

integrations · object[] | null

A list of integrations to enable for your fine-tuning job.

Show child attributes

seed · integer | null

The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.

Required range: 0 <= x <= 2147483647

Example:

42

method · object

The method used for fine-tuning.

Show child attributes

metadata · object | null

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.

Show child attributes

Response

200 - application/json

OK

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

id · string · required

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

created_at · integer · required

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

error · object | null · required

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

Show child attributes

fine_tuned_model · string | null · required

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_at · integer | null · required

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 · object · required

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

Show child attributes

model · string · required

The base model that is being fine-tuned.

object · enum<string> · required

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

Available options:

fine_tuning.job

organization_id · string · required

The organization that owns the fine-tuning job.

result_files · string[] · required

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

status · enum<string> · required

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

Available options:

validating_files,

queued,

running,

succeeded,

failed,

cancelled

trained_tokens · integer | null · required

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_file · string · required

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

validation_file · string | null · required

The file ID used for validation. You can retrieve the validation results with the Files API.

seed · integer · required

The seed used for the fine-tuning job.

integrations · Fine-Tuning Job Integration · object[] | null

A list of integrations to enable for this fine-tuning job.

Maximum length: 5

Show child attributes

estimated_finish · integer | null

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.

method · object

The method used for fine-tuning.

Show child attributes

metadata · object | null

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.

Show child attributes