NLP, Python, Spacy.
eval_frequency = 200 frozen_components = [] annotating_components = [] before_to_disk = null before_update = null #... [training.logger] @loggers = "spacy.ConsoleLogger.v1" progress_bar = false [training.optimizer] @optimizers = "Adam.v1" beta1 = 0.9 beta2 = 0.999 L2_is_weight_decay = true L2 =