snowflake.cortex.FinetuneStatus¶
- class snowflake.cortex.FinetuneStatus(id: Optional[str] = None, status: Optional[str] = None, base_model: Optional[str] = None, created_on: Optional[int] = None, error: Optional[Dict[str, Any]] = None, finished_on: Optional[int] = None, progress: Optional[float] = None, training_result: Optional[List[Dict[str, Any]]] = None, trained_tokens: Optional[int] = None, training_data: Optional[str] = None, validation_data: Optional[str] = None, model: Optional[str] = None)¶
Bases:
object
Fine-tuning job status.
Attributes
- base_model: Optional[str] = None¶
Name of the base model that is being fine-tuned.
- created_on: Optional[int] = None¶
Creation timestamp of the Fine-tuning job in milliseconds.
- error: Optional[Dict[str, Any]] = None¶
Error message propagated from the job.
- finished_on: Optional[int] = None¶
Completion timestamp of the Fine-tuning job in milliseconds.
- id: Optional[str] = None¶
Workflow ID for the fine-tuning run.
- model: Optional[str] = None¶
Location of the fine-tuned model.
- progress: Optional[float] = None¶
Progress made as a fraction of total [0.0,1.0].
- status: Optional[str] = None¶
Status string, e.g. PENDING, RUNNING, SUCCESS, ERROR, CANCELLED.
- trained_tokens: Optional[int] = None¶
Number of tokens trained on. If multiple epochs are run, this can be larger than number of tokens in the training data.
- training_data: Optional[str] = None¶
Training data query.
- training_result: Optional[List[Dict[str, Any]]] = None¶
Detailed metrics report for a completed training.
- validation_data: Optional[str] = None¶
Validation data query.