tinker.types.TrainingRun

class tinker.types.TrainingRun( BaseModel)

Fields:

• training_run_id ( str) – The unique identifier for the training run
• base_model ( str) – The base model name this model is derived from
• model_owner ( str) – The owner/creator of this model
• is_lora ( bool) – Whether this model uses LoRA (Low-Rank Adaptation)
• corrupted ( bool) – Whether the model is in a corrupted state
• lora_rank ( int | None) – The LoRA rank if this is a LoRA model, null otherwise
• last_request_time ( datetime) – The timestamp of the last request made to this model
• last_checkpoint ( Checkpoint | None) – The most recent training checkpoint, if available
• last_sampler_checkpoint ( Checkpoint | None) – The most recent sampler checkpoint, if available
• user_metadata ( dict[str, str] | None) – Optional metadata about this training run, set by the end-user

Referenced by

• tinker.types.TrainingRunsResponse