run_predict.sh

export FLAGS_eager_delete_tensor_gb=0.0
export CUDA_VISIBLE_DEVICES=0

# User can select chnsenticorp, nlpcc_dbqa, lcqmc and so on for different task
DATASET="STS-B"
CKPT_DIR="./ckpt_${DATASET}"
# STS-B: batch_size=32, max_seq_len=128

python -u predict.py --checkpoint_dir $CKPT_DIR \
                            --max_seq_len 128 \
                            --use_gpu True \
                            --dataset=${DATASET} \
                            --batch_size=32 \