python3 main.py --cr_train --data_path="./data/processed/"

python3 main.py --ea_train --data_path="./data/processed/"

python3 main.py --cr_train --ea_train --data_path="./dataset/processed/"

--data_path="./dataset/"
--glove_path="./dataset/glove/"
--epoch=20
--batch_size=10
--word_embd_size=100

python main.py --test -checkpoint="./checkpoint/saved_best_model.pt"

usage: main.py [-h] [--data_path DATA_PATH]
               [--checkpoint_path CHECKPOINT_PATH] [--glove_path GLOVE_PATH]
               [--log_interval LOG_INTERVAL] [--test_interval TEST_INTERVAL]
               [--save_best SAVE_BEST] [--lr LR] [--ngpu NGPU]
               [--word_embd_size WORD_EMBD_SIZE]
               [--max_ctx_length MAX_CTX_LENGTH]
               [--max_diff_length MAX_DIFF_LENGTH]
               [--max_cmnt_length MAX_CMNT_LENGTH] [--ctx_mode CTX_MODE]
               [--rnn_model] [--epoch EPOCH] [--start_epoch START_EPOCH]
               [--batch_size BATCH_SIZE] [--cr_train] [--ea_train]
               [--no_action] [--no_attention] [--no_hadamard]
               [--src_train SRC_TRAIN] [--train_ratio TRAIN_RATIO]
               [--val_ratio VAL_RATIO] [--val_size VAL_SIZE]
               [--manualSeed MANUALSEED] [--test] [--case_study]
               [--resume PATH] [--seed SEED] [--gpu GPU]
               [--checkpoint CHECKPOINT] [--rank_num RANK_NUM]
               [--anchor_num ANCHOR_NUM] [--use_target_only] [--predict]
               [--pred_cmnt PRED_CMNT] [--pred_ctx PRED_CTX]

optional arguments:
  -h, --help            show this help message and exit
  --data_path DATA_PATH
                        the data directory
  --checkpoint_path CHECKPOINT_PATH
                        the checkpoint directory
  --glove_path GLOVE_PATH
                        the glove directory
  --log_interval LOG_INTERVAL
                        how many steps to wait before logging training status
                        [default: 100]
  --test_interval TEST_INTERVAL
                        how many steps to wait before testing [default: 1000]
  --save_best SAVE_BEST
                        whether to save when get best performance
  --lr LR               learning rate, default=0.5
  --ngpu NGPU           number of GPUs to use
  --word_embd_size WORD_EMBD_SIZE
                        word embedding size
  --max_ctx_length MAX_CTX_LENGTH
                        the maximum words in the context [default: 300]
  --max_diff_length MAX_DIFF_LENGTH
                        the maximum words in the revision difference [default:
                        200]
  --max_cmnt_length MAX_CMNT_LENGTH
                        the maximum words in the comment [default: 30]
  --ctx_mode CTX_MODE   whether to use change context in training [default:
                        True]
  --rnn_model           use rnn baseline model
  --epoch EPOCH         number of epoch, default=10
  --start_epoch START_EPOCH
                        resume epoch count, default=1
  --batch_size BATCH_SIZE
                        input batch size
  --cr_train            whether to training the comment rank task
  --ea_train            whether to training the revision anchoring task
  --no_action           whether to use action encoding to train the model
  --no_attention        whether to use mutual attention to train the model
  --no_hadamard         whether to use hadamard product to train the model
  --src_train SRC_TRAIN
                        whether to training the comment rank task without
                        before-editing version
  --train_ratio TRAIN_RATIO
                        ratio of training data in the entire data [default:
                        0.7]
  --val_ratio VAL_RATIO
                        ratio of validation data in the entire data [default:
                        0.1]
  --val_size VAL_SIZE   force the size of validation dataset, the parameter
                        will disgard the setting of val_ratio [default: -1]
  --manualSeed MANUALSEED
                        manual seed
  --test                use test model
  --case_study          use case study mode
  --resume PATH         path saved params
  --seed SEED           random seed
  --gpu GPU             gpu to use for iterate data, -1 mean cpu [default: -1]
  --checkpoint CHECKPOINT
                        filename of model checkpoint [default: None]
  --rank_num RANK_NUM   the number of ranking comments
  --anchor_num ANCHOR_NUM
                        the number of ranking comments
  --use_target_only     use target context only in model
  --predict             predict the sentence given
  --pred_cmnt PRED_CMNT
                        the comment of prediction
  --pred_ctx PRED_CTX   the context of prediction