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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