API Reference

Fine Tuning

Jobs

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Checkpoints

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

List fine-tuning checkpoints

fine_tuning.jobs.checkpoints.list(strfine_tuning_job_id, CheckpointListParams**kwargs) -> SyncCursorPage[FineTuningJobCheckpoint]

GET/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints

ModelsExpand Collapse

class FineTuningJobCheckpoint: …

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

id: str

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

created_at: int

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

formatunixtime

fine_tuned_model_checkpoint: str

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

fine_tuning_job_id: str

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

metrics: Metrics

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

full_valid_loss: Optional[float]

full_valid_mean_token_accuracy: Optional[float]

step: Optional[float]

train_loss: Optional[float]

train_mean_token_accuracy: Optional[float]

valid_loss: Optional[float]

valid_mean_token_accuracy: Optional[float]

object: Literal["fine_tuning.job.checkpoint"]

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

step_number: int

The step number that the checkpoint was created at.