readme: This model is developed with transformers v4.10.3.
  
  # Train
  ```bash
  #!/usr/bin/env bash
  
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=bert-base-uncased-squad
  WORKDIR=transformers/examples/pytorch/question-answering
  cd $WORKDIR
  
  nohup python run_qa.py \
      --model_name_or_path bert-base-uncased \
      --dataset_name squad \
      --do_eval \
      --do_train \
      --per_device_train_batch_size 16 \
      --per_device_eval_batch_size 16 \
      --doc_stride 128 \
      --max_seq_length 384 \
      --learning_rate 3e-5 \
      --num_train_epochs 2 \
      --eval_steps 250 \
      --save_steps 2500 \
      --logging_steps 1 \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  
  # Eval
  ```bash
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=eval-bert-base-uncased-squad
  WORKDIR=transformers/examples/pytorch/question-answering
  cd $WORKDIR
  
  nohup python run_qa.py  \
      --model_name_or_path vuiseng9/bert-base-uncased-squad  \
      --dataset_name squad  \
      --do_eval  \
      --per_device_eval_batch_size 16  \
      --max_seq_length 384  \
      --doc_stride 128  \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  