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python run_qa.py \ --model_name_or_path bert-large-uncased-whole-word-masking \ --dataset_name squad_v2 \ --do_train \ --do_eval \ --save_steps 2500 \ --eval_steps 2500 \ --evaluation_strategy steps \ --per_device_train_batch_size 12 \ --learning_rate 3e-5 \ --num_train_epochs 2 \ --max_seq_length 384 \ --doc_stride 128 \ --output_dir /data_2to/devel_data/nn_pruning/output/teacher/squadv2-large-wwm \ --version_2_with_negative 1 |