python run_bert_2562_task2.py \
--model_type bert \
--model_name_or_path ../model/chinese_roberta_wwm_large_ext_pytorch  \
--do_train \
--do_eval \
--do_test \
--data_dir ../data/baidu_data/task2_data_StratifiedKFold_2020/data_origin_0 \
--output_dir ../model/roberta_wwm_large_5121_42/task2_roberta_wwm_large_5121_42_0 \
--max_seq_length 512 \
--split_num 1 \
--lstm_hidden_size 512 \
--lstm_layers 1 \
--lstm_dropout 0.1 \
--eval_steps 200 \
--per_gpu_train_batch_size 4 \
--gradient_accumulation_steps 4 \
--warmup_steps 0 \
--per_gpu_eval_batch_size 32 \
--learning_rate 1e-5 \
--adam_epsilon 1e-6 \
--weight_decay 0 \
--train_steps 20000 \
--freeze 0;
python run_bert_2562_task2.py \
--model_type bert \
--model_name_or_path ../model/chinese_roberta_wwm_large_ext_pytorch  \
--do_train \
--do_eval \
--do_test \
--data_dir ../data/baidu_data/task2_data_StratifiedKFold_2020/data_origin_1 \
--output_dir ../model/roberta_wwm_large_5121_42/task2_roberta_wwm_large_5121_42_1 \
--max_seq_length 512 \
--split_num 1 \
--lstm_hidden_size 512 \
--lstm_layers 1 \
--lstm_dropout 0.1 \
--eval_steps 200 \
--per_gpu_train_batch_size 4 \
--gradient_accumulation_steps 4 \
--warmup_steps 0 \
--per_gpu_eval_batch_size 32 \
--learning_rate 1e-5 \
--adam_epsilon 1e-6 \
--weight_decay 0 \
--train_steps 20000 \
--freeze 0;
python run_bert_2562_task2.py \
--model_type bert \
--model_name_or_path ../model/chinese_roberta_wwm_large_ext_pytorch  \
--do_train \
--do_eval \
--do_test \
--data_dir ../data/baidu_data/task2_data_StratifiedKFold_2020/data_origin_2 \
--output_dir ../model/roberta_wwm_large_5121_42/task2_roberta_wwm_large_5121_42_2 \
--max_seq_length 512 \
--split_num 1 \
--lstm_hidden_size 512 \
--lstm_layers 1 \
--lstm_dropout 0.1 \
--eval_steps 200 \
--per_gpu_train_batch_size 4 \
--gradient_accumulation_steps 4 \
--warmup_steps 0 \
--per_gpu_eval_batch_size 32 \
--learning_rate 1e-5 \
--adam_epsilon 1e-6 \
--weight_decay 0 \
--train_steps 20000 \
--freeze 0;
python run_bert_2562_task2.py \
--model_type bert \
--model_name_or_path ../model/chinese_roberta_wwm_large_ext_pytorch  \
--do_train \
--do_eval \
--do_test \
--data_dir ../data/baidu_data/task2_data_StratifiedKFold_2020/data_origin_3 \
--output_dir ../model/roberta_wwm_large_5121_42/task2_roberta_wwm_large_5121_42_3 \
--max_seq_length 512 \
--split_num 1 \
--lstm_hidden_size 512 \
--lstm_layers 1 \
--lstm_dropout 0.1 \
--eval_steps 200 \
--per_gpu_train_batch_size 4 \
--gradient_accumulation_steps 4 \
--warmup_steps 0 \
--per_gpu_eval_batch_size 32 \
--learning_rate 1e-5 \
--adam_epsilon 1e-6 \
--weight_decay 0 \
--train_steps 20000 \
--freeze 0;
python run_bert_2562_task2.py \
--model_type bert \
--model_name_or_path ../model/chinese_roberta_wwm_large_ext_pytorch  \
--do_train \
--do_eval \
--do_test \
--data_dir ../data/baidu_data/task2_data_StratifiedKFold_2020/data_origin_4 \
--output_dir ../model/roberta_wwm_large_5121_42/task2_roberta_wwm_large_5121_42_4 \
--max_seq_length 512 \
--split_num 1 \
--lstm_hidden_size 512 \
--lstm_layers 1 \
--lstm_dropout 0.1 \
--eval_steps 200 \
--per_gpu_train_batch_size 4 \
--gradient_accumulation_steps 4 \
--warmup_steps 0 \
--per_gpu_eval_batch_size 32 \
--learning_rate 1e-5 \
--adam_epsilon 1e-6 \
--weight_decay 0 \
--train_steps 20000 \
--freeze 0;