| 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 | |