set -eux export TASK_DATA_PATH=./data/
export DEV_FILE=dev.json
export MODEL_PATH=./pretrained_model/ export CHECKPOINT=./checkpoints/step_60000/ export TEST_SAVE=./data/ export FLAGS_sync_nccl_allreduce=1 export PYTHONPATH=./ernie:${PYTHONPATH:-} CUDA_VISIBLE_DEVICES=7 python -u ./ernie/run_duie.py \ --use_cuda true \ --do_train false \ --do_val false \ --do_test true \ --batch_size 128 \ --init_checkpoint ${CHECKPOINT} \ --num_labels 112 \ --label_map_config ${TASK_DATA_PATH}relation2label.json \ --spo_label_map_config ${TASK_DATA_PATH}label2relation.json \
--test_set ${TASK_DATA_PATH}${DEV_FILE} \ --test_save ${TEST_SAVE}predict_dev.json \
--vocab_path ${MODEL_PATH}vocab.txt \ --ernie_config_path ${MODEL_PATH}ernie_config.json \ --use_fp16 false \ --max_seq_len 512 \ --skip_steps 10 \ --random_seed 1
