INNER CODE UNIT · Python

adafactor_eps

shibing624/pytextclassifier · pytextclassifier/bert_classfication_utils.py:59

    adafactor_eps: tuple = field(default_factory=lambda: (1e-30, 1e-3))
    adafactor_relative_step: bool = True
    adafactor_scale_parameter: bool = True
    adafactor_warmup_init: bool = True
    adam_epsilon: float = 1e-8
    best_model_dir: str = "outputs/best_model"
    cache_dir: str = "cache_dir/"
    config: dict = field(default_factory=dict)
    cosine_schedule_num_cycles: float = 0.5
    custom_layer_parameters: list = field(default_factory=list)
    custom_parameter_groups: list = field(default_factory=list)
    dataloader_num_workers: int = 0
    do_lower_case: bool = False
    dynamic_quantize: bool = False
    early_stopping_consider_epochs: bool = False
    early_stopping_delta: float = 0
    early_stopping_metric: str = "eval_loss"
    early_stopping_metric_minimize: bool = True

View source record →

📰 Research Paper
Loading…
⏳ Fetching content…