Checkpoints

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

$ openai fine-tuning:jobs:checkpoints list

GET/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints

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.

id: string

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

created_at: number

The Unix timestamp (in seconds) for when the checkpoint was created.

fine_tuned_model_checkpoint: string

The name of the fine-tuned checkpoint model that is created.

fine_tuning_job_id: string

The name of the fine-tuning job that this checkpoint was created from.

metrics: object { full_valid_loss, full_valid_mean_token_accuracy, step, 4 more }

Metrics at the step number during the fine-tuning job.

full_valid_loss: optional number

full_valid_mean_token_accuracy: optional number

step: optional number

train_loss: optional number

train_mean_token_accuracy: optional number

valid_loss: optional number

valid_mean_token_accuracy: optional number

object: "fine_tuning.job.checkpoint"

The object type, which is always “fine_tuning.job.checkpoint”.

step_number: number

The step number that the checkpoint was created at.