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wyxstriker / ReweightingDisfluency

Implementation of COLING 2022 paper "Adaptive Unsupervised Self-training for Disfluency Detection"
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About The Running Error #2

Open HankLiu10 opened 11 months ago

HankLiu10 commented 11 months ago

Hi there, thanks for your great work! I prepared the environment as you recommended, and download the student and teacher pretrained model. However, when I try to execute your code, there seems to be few problems. It would be appreciate if you can help with it!

nohup: ignoring input
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot create regular file './self_training/run_data/1000/dev.tsv': No such file or directory
cp: cannot create regular file './self_training/run_data/1000/test.tsv': No such file or directory
cp: cannot create regular file './self_training/run_data/1000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/1000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/1000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/1000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/1500/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/1500/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/1500/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/2000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/2000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/2000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/3000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/3000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/3000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/4000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/4000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/4000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/5000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/5000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/5000/unlabel.tsv': No such file or directory
usage: total_judge.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR
                      --log_dir LOG_DIR --bert_model BERT_MODEL
                      --pretrain_model_dir PRETRAIN_MODEL_DIR
                      --pretrain_model_name PRETRAIN_MODEL_NAME
                      [--max_seq_length MAX_SEQ_LENGTH]
                      [--do_train | --do_unlabel] [--do_eval]
                      [--do_eval_format] [--do_test] [--do_tagging]
                      [--use_new_model] [--do_lower_case] --task_name
                      TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                      [--eval_batch_size EVAL_BATCH_SIZE]
                      [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                      [--num_train_epochs NUM_TRAIN_EPOCHS]
                      [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                      [--judge_score] [--local_rank LOCAL_RANK] [--seed SEED]
                      [--unlabel_size UNLABEL_SIZE]
                      [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                      [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                      MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON]
                      [--thre THRE]
total_judge.py: error: the following arguments are required: --log_dir, --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --bert_model
usage: teacher.py [-h] --data_dir DATA_DIR --output_dir OUTPUT_DIR --log_dir
                  LOG_DIR --bert_model BERT_MODEL --pretrain_model_dir
                  PRETRAIN_MODEL_DIR --pretrain_model_name PRETRAIN_MODEL_NAME
                  [--max_seq_length MAX_SEQ_LENGTH]
                  [--do_train | --do_unlabel] [--do_eval] [--do_eval_format]
                  [--do_test] [--no_temp] [--use_new_model] [--do_lower_case]
                  --task_name TASK_NAME [--train_batch_size TRAIN_BATCH_SIZE]
                  [--eval_batch_size EVAL_BATCH_SIZE]
                  [--learning_rate LEARNING_RATE] [--sel_prob SEL_PROB]
                  [--num_train_epochs NUM_TRAIN_EPOCHS]
                  [--warmup_proportion WARMUP_PROPORTION] [--no_cuda]
                  [--judge_score] [--judge_score_e] [--teacher_score]
                  [--local_rank LOCAL_RANK] [--seed SEED]
                  [--unlabel_size UNLABEL_SIZE]
                  [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
                  [--fp16] [--loss_scale LOSS_SCALE] --model_name_or_path
                  MODEL_NAME_OR_PATH [--adam_epsilon ADAM_EPSILON] [-K K]
                  [--k_thred K_THRED] [--temp TEMP]
teacher.py: error: the following arguments are required: --log_dir, --bert_model
cp: cannot stat './self_training/run_data/6000/dev.tsv': No such file or directory
cp: cannot stat './self_training/run_data/6000/test.tsv': No such file or directory
cp: cannot stat './self_training/run_data/6000/unlabel.tsv': No such file or directory

...

total_judge.py: error: the following arguments are required: --log_dir, --bert_model
wyxstriker commented 9 months ago

I'm very sorry about this, these two parameters (log_dir, bert_model) have no actual effect in the program, but the wrong parameter was set (required=True), we fixed this in the new commit, thank you for your concern about our work.