text: import torch
  import transformers
  
  
  class Config:
      def __init__(self):
          super(Config, self).__init__()
  
          self.SEED = 42
          self.MODEL_PATH = 'allenai/scibert_scivocab_uncased'
          self.SAVE_MODEL_PATH = 'dualinput_scibert_best_model'
          # self.DATA_DIR = '../input/avjanatahackresearcharticlesmlc/av_janatahack_data/'
          self.DATA_DIR = 'drive/My Drive/hackathons/av_janatahack/data/'
          self.NUM_LABELS = 6
  
          # data
          self.TOKENIZER = transformers.AutoTokenizer.from_pretrained(self.MODEL_PATH)
          self.MAX_LENGTH = 320
          self.BATCH_SIZE = 16
          self.VALIDATION_SPLIT = 0.25
  
          # model
          self.DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
          self.FULL_FINETUNING = True
          self.LR = 3e-5
          self.OPTIMIZER = 'AdamW'
          self.CRITERION = 'BCEWithLogitsLoss'
          self.N_VALIDATE_DUR_TRAIN = 3
          self.SAVE_BEST_ONLY = True
          self.EPOCHS = 1
  
  config = Config()