how much should be the accuracy of bert base cased on squad 2

[navid72m]

Hello
I finetuned the bert base cased on squad 2 with the following command:
python run_squad.py
--vocab_file=$BERT_BASE_DIR/vocab.txt
--bert_config_file=config.json
--init_checkpoint=bert_model.ckpt
--do_train=True
--train_file=$SQUAD_DIR/train-v2.0.json
--do_predict=True
--predict_file=$SQUAD_DIR/dev-v2.0.json
--train_batch_size=24
--learning_rate=3e-5
--num_train_epochs=2.0
--max_seq_length=384
--doc_stride=128
--output_dir=~/squad_large/
--version_2_with_negative=True
--null_score_diff_threshold=-2
and get the following output from evaluate script:
{"exact": 62.01465509980628, "f1": 64.47961013334715, "total": 11873, "HasAns_exact": 47.891363022941974, "HasAns_f1": 52.828341955672826, "HasAns_total": 5928, "NoAns_exact": 76.09756097560975, "NoAns_f1": 76.09756097560975, "NoAns_total": 5945, "best_exact": 62.0651899267245, "best_exact_thresh": -2.0197997093200684, "best_f1": 64.51742974575069, "best_f1_thresh": -2.0197997093200684, "pr_exact_ap": 31.64157011302471, "pr_f1_ap": 37.53953936447737, "pr_oracle_ap": 73.56376007315332}
I assume the exact match should be higher(something around 73). Is there somthing that I check it with?