AttributeError: 'ModelArguments' object has no attribute 'add_entity'

[YiLing28]

Steps to reproduce：

1. run python covert_weight_from_bert_to_sarg.py，save the model to ./resources/model/Roberta-WWM-Init
2. export CUDA_VISIBLE_DEVICES=0,1
   python -m torch.distributed.launch --nproc_per_node 2 --master_port 29500 run_train.py
   --output_dir sarg-ailab-no-cov
   --do_train
   --do_eval
   --output_best_dir sarg-ailab-no-cov-best
   --learning_rate 5e-5
   --max_steps 2000
   --save_total_limit 3
   --save_steps 200
   --per_gpu_train_batch_size 64
   --per_gpu_eval_batch_size 64
   --seed 42
   --tokenizer_name BertTokenizer
   --logging_steps 200
   --mode ailab
   --evaluate_during_training True
   --model_name_or_path ./resources/model/Roberta-WWM-Init
   --train_data_file Restoration_200k_data/train.txt
   --eval_data_file Restoration_200k_data/valid.txt
   --alpha 3
   --change_weight 1.5
   report an error：the code:
   logger.info(f"Set the add_entity to {bool(model_args.add_entity) or bool(bool(model_args.add_cut))}")
   AttributeError: 'ModelArguments' object has no attribute 'add_entity'

[hmzo]

Hello ,YiLing

These two arguments, "add_entity" and "add_cut", are both experimental used in our ablation study. So you can easily delete them or extend the class "ModelArguments" as below:

`
add_entity: int = field(default=0, metadata={"help": "add entity information or not"})

add_cut: int = field(default=0, metadata={"help": "add cut information or not"})
`