ner.utils.tracker module#

class ner.utils.tracker.Tracker(config, basepath_to_store_results, experiment_name, log_level=10)#

Bases: object

log_metrics(epoch: int, split: str, metrics: Dict[str, float]) None#
save_checkpoint(trainer, epoch: int)#
save_model(model)#