readme: This model is transfer-learning of [bert-base pruneofa 90% sparse](https://huggingface.co/Intel/bert-base-uncased-sparse-90-unstructured-pruneofa) on Squadv1 dataset.
  
  ```
    eval_exact_match = 80.2933
    eval_f1          = 87.6788
    eval_samples     =   10784
  ``` 
  
  
  # Train
  use https://github.com/IntelLabs/Model-Compression-Research-Package.git
  see ```pruneofa-transfer-learning.sh```
  
  # Eval
  ```bash
  export CUDA_VISIBLE_DEVICES=0
  
  OUTDIR=eval-bert-base-squadv1-pruneofa-90pc-bt
  WORKDIR=transformers/examples/pytorch/question-answering
  cd $WORKDIR
  
  nohup python run_qa.py  \
      --model_name_or_path vuiseng9/bert-base-squadv1-pruneofa-90pc-bt  \
      --dataset_name squad  \
      --do_eval  \
      --per_device_eval_batch_size 128  \
      --max_seq_length 384  \
      --doc_stride 128  \
      --overwrite_output_dir \
      --output_dir $OUTDIR 2>&1 | tee $OUTDIR/run.log &
  ```
  