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train_list.sh
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train_list.sh
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#python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model1 --train_batch_size 24 --do_train --cls_pooler pure
#python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model2 --train_batch_size 24 --do_train --cls_pooler last3concat
#python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model3 --train_batch_size 24 --do_train --cls_pooler pure --hidden_pooler lstm_attention
#python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model4 --train_batch_size 24 --do_train --cls_pooler pure --hidden_pooler attention
python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model5 --train_batch_size 24 --do_train --cls_pooler last3concat --hidden_pooler attention
#python main_k_fold.py --log_dir test.log --data_dir data/split_word --pretrain_path pytorch_wobert --output_dir sentiment_model/new_model6 --train_batch_size 24 --do_train --cls_pooler last3concat --hidden_pooler lstm_attention