readme: This model is developed with transformers v4.9.1.
  
  ```
    m             = 0.8444
    eval_samples  =   9815
  
    mm            = 0.8495
    eval_samples  =   9832
  ``` 
  
  # Train
  ```bash
  #!/usr/bin/env bash
  
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=bert-mnli
  NEPOCH=3
  
  WORKDIR=transformers/examples/pytorch/text-classification
  cd $WORKDIR
  
  python run_glue.py \
      --model_name_or_path bert-base-uncased \
      --task_name mnli \
      --max_seq_length 128 \
      --do_train \
      --per_device_train_batch_size 32 \
      --learning_rate 2e-5 \
      --num_train_epochs $NEPOCH \
      --logging_steps 1 \
      --evaluation_strategy steps \
      --save_steps 3000 \
      --do_eval \
      --per_device_eval_batch_size 128 \
      --eval_steps 250 \
      --output_dir $OUTDIR
      --overwrite_output_dir
  ```
  
  # Eval
  ```bash
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=eval-bert-mnli
  WORKDIR=transformers/examples/pytorch/text-classification
  cd $WORKDIR
  
  nohup python run_glue.py \
      --model_name_or_path vuiseng9/bert-mnli  \
      --task_name mnli  \
      --do_eval  \
      --per_device_eval_batch_size 128  \
      --max_seq_length 128  \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  