def __init__()

in scripts/adapet/ADAPET/src/utils/Config.py [0:0]

• 34 lines of code
• 6 McCabe index (conditional complexity)

    def __init__(self, filename=None, kwargs=None, mkdir=True):
        # Dataset parameters
        self.dataset = "fewglue/BoolQ"
        self.num_lbl = 2
        self.max_num_lbl_tok = 10
        self.max_num_lbl = 10

        # Model and pattern parameters
        self.pretrained_weight = "bert-base-uncased"
        self.pattern_idx = "random"

        # Duration of training parameters
        self.batch_size = 8
        self.eval_batch_size = 64
        self.num_batches = 1000
        self.eval_every = 1
        self.grad_accumulation_factor = 1
        self.max_text_length = 64

        self.mask_alpha = 0.5

        self.eval_train = False
        self.eval_dev = True

        # Where experiments will be located
        self.exp_dir = None
        self.seed = 42
        self.exp_name = ""

        # Training Hyperparameters
        self.lr = 1e-3
        self.weight_decay = 0
        self.grad_clip_norm = 1
        self.warmup_ratio = 0

        # Generic dataset hyperparameters
        self.pattern = "[TEXT1] and [TEXT2] "
        self.idx_txt_trim = -1 # Indexed from 1
        self.dict_verbalizer = {"True": "Yes", "False": "No"}
        self.data_dir = "data/fewglue/BoolQ"
        #Added
        self.task_name = 'SetFit/sst2'

        if filename:
            self.__dict__.update(json.load(open(filename)))
        if kwargs:
            self.update_kwargs(kwargs)

        if filename or kwargs:
            self.update_exp_config(mkdir)