readme: Used [run.sh](https://huggingface.co/madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2/blob/main/run.sh) used to train using transformers/example/question_answering code.
  
  Evaluation results : F1= 85.85 , a much better result than the original 81.9 from the BERT paper, due to the use of the "whole-word-masking" variation.
  ```
  {
      "HasAns_exact": 80.58367071524967,
      "HasAns_f1": 86.64594807945029,
      "HasAns_total": 5928,
      "NoAns_exact": 85.06307821698907,
      "NoAns_f1": 85.06307821698907,
      "NoAns_total": 5945,
      "best_exact": 82.82658131895899,
      "best_exact_thresh": 0.0,
      "best_f1": 85.85337995578023,
      "best_f1_thresh": 0.0,
      "epoch": 2.0,
      "eval_samples": 12134,
      "exact": 82.82658131895899,
      "f1": 85.85337995578037,
      "total": 11873
  }
  ```