parser.add_argument("--task_name", default="do_train", type=str, required=True,
                    help="The name of the task to train selected in the list: ")
parser.add_argument("--data_dir", default="../datasets/do_train/train.json", type=str, required=True,
                    help="The input data dir. Should contain the training files for the CoNLL-2003 NER task.", )
parser.add_argument("--model_type", default="bert", type=str, required=True,
                    help="Model type selected in the list: ")
parser.add_argument("--model_name_or_path", default="../models/Bert_for_ner/BertCrfForNer", type=str, required=True,
                    help="Path to pre-trained model or shortcut name selected in the list: ")
parser.add_argument("--output_dir", default="../outputs/do_train/output_crf.json", type=str, required=True,
                    help="The output directory where the model predictions and checkpoints will be written.", ）