set -eux export FLAGS_eager_delete_tensor_gb=0 export FLAGS_sync_nccl_allreduce=1 export CUDA_VISIBLE_DEVICES=0
export PYTHONPATH=./ernie:${PYTHONPATH:-} python -u ./ernie/run_classifier.py \
--use_cuda true \ --verbose true \ --do_train true \ --do_val true \ --do_test true \ --batch_size 64 \ --task_id 2 \ --init_pretraining_params ${MODEL_PATH}/params \ --train_set ${TASK_DATA_PATH}/bq/train.tsv \ --dev_set ${TASK_DATA_PATH}/bq/dev.tsv,${TASK_DATA_PATH}/bq/test.tsv \ --vocab_path ${MODEL_PATH}/vocab.txt \ --checkpoints ./checkpoints \ --save_steps 1000 \ --weight_decay 0.01 \ --warmup_proportion 0.0 \ --validation_steps 100 \ --epoch 3 \ --max_seq_len 128 \ --ernie_config_path ${MODEL_PATH}/ernie_config.json \ --learning_rate 3e-5\ --skip_steps 10 \ --num_iteration_per_drop_scope 1 \ --num_labels 2 \ --random_seed 1
