readme: This model is developed with transformers v4.10.3.
  
  # Train
  ```bash
  #!/usr/bin/env bash
  
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=bert-based-uncased-mnli
  WORKDIR=transformers/examples/pytorch/text-classification
  cd $WORKDIR
  
  nohup python run_glue.py \
      --model_name_or_path bert-base-uncased  \
      --task_name mnli  \
      --do_eval  \
      --do_train  \
      --per_device_train_batch_size 16  \
      --per_device_eval_batch_size 16  \
      --max_seq_length 128  \
      --num_train_epochs 3 \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  
  # Eval
  ```bash
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=eval-bert-based-uncased-mnli
  WORKDIR=transformers/examples/pytorch/text-classification
  cd $WORKDIR
  
  nohup python run_glue.py \
      --model_name_or_path vuiseng9/bert-base-uncased-mnli  \
      --task_name mnli  \
      --do_eval  \
      --per_device_eval_batch_size 16  \
      --max_seq_length 128  \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  