API Reference

Fine Tuning

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Jobs

Manage fine-tuning jobs to tailor a model to your specific training data.

Cancel fine-tuning

$ openai fine-tuning:jobs cancel

POST/fine_tuning/jobs/{fine_tuning_job_id}/cancel

Create fine-tuning job

$ openai fine-tuning:jobs create

POST/fine_tuning/jobs

List fine-tuning jobs

$ openai fine-tuning:jobs list

GET/fine_tuning/jobs

List fine-tuning events

$ openai fine-tuning:jobs list-events

GET/fine_tuning/jobs/{fine_tuning_job_id}/events

Pause fine-tuning

$ openai fine-tuning:jobs pause

POST/fine_tuning/jobs/{fine_tuning_job_id}/pause

Resume fine-tuning

$ openai fine-tuning:jobs resume

POST/fine_tuning/jobs/{fine_tuning_job_id}/resume

Retrieve fine-tuning job

$ openai fine-tuning:jobs retrieve

GET/fine_tuning/jobs/{fine_tuning_job_id}

ModelsExpand Collapse

fine_tuning_job: object { id, created_at, error, 16 more }

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

fine_tuning_job_event: object { id, created_at, level, 4 more }

Fine-tuning job event object

fine_tuning_job_wandb_integration: object { project, entity, name, tags }

The settings for your integration with Weights and Biases. This payload specifies the project that metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags to your run, and set a default entity (team, username, etc) to be associated with your run.

fine_tuning_job_wandb_integration_object: object { type, wandb }

JobsCheckpoints

Manage fine-tuning jobs to tailor a model to your specific training data.

List fine-tuning checkpoints

$ openai fine-tuning:jobs:checkpoints list

GET/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints

ModelsExpand Collapse

fine_tuning_job_checkpoint: object { id, created_at, fine_tuned_model_checkpoint, 4 more }

The fine_tuning.job.checkpoint object represents a model checkpoint for a fine-tuning job that is ready to use.