run_cmrc2018.sh

python train_cmrc2018.py \
    --model_type chinesebert \
    --data_dir "data/cmrc2018" \
    --model_name_or_path ChineseBERT-large \
    --max_seq_length 512 \
    --train_batch_size 8 \
    --gradient_accumulation_steps 8 \
    --eval_batch_size 16 \
    --learning_rate 4e-5 \
    --max_grad_norm 1.0 \
    --num_train_epochs 3 \
    --logging_steps 2 \
    --save_steps 20 \
    --warmup_radio 0.1 \
    --weight_decay 0.01 \
    --output_dir outputs/cmrc2018 \
    --seed 1111 \
    --num_workers 0 \
    --use_amp