text: import torch
  import os
  
  config = {
      
      # data 
      "data_dir":os.path.join(os.getcwd(), 'data'),
      "dataset":"switchboard",
      "text_field":"Text",
      # "label_field":"act_label_1",
      "label_field":"DamslActTag",
  
      "max_len":256,
      "batch_size":32, 
  #     64
      "num_workers":2,
  #     4
      
      # model
      "model_name":"roberta-base", #roberta-base
      "hidden_size":768,
      "num_classes":43, # there are 43 classes in switchboard corpus
      
      # training
      "save_dir":"./",
      "project":"dialogue-act-classification",
      "run_name":"context-aware-attention-dac",
      "lr":1e-5,
      "monitor":"val_accuracy",
      "min_delta":0.001,
      "filepath":"./checkpoints/{epoch}-{val_accuracy:4f}",
      "precision":32,
      "average":"micro",
      "epochs":100,
      "device":torch.device("cuda" if torch.cuda.is_available() else "cpu"),
      "restart":False,
      "restart_checkpoint":"./checkpoints/epoch=10-val_accuracy=0.720291.ckpt"
      
  }