TrainingRun

class mint.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