mixed_large_24_model.bin shows bad results when converted into TensorFlow version

Hi,
Thank you for providing `mixed_large_24_model.bin`.
I was trying to convert this model using `scripts/convert_bert_from_uer_to_google.py`.
Everything goes fine without any alerts.
However, when I tried to fine-tune on a simple binary text classification task, it showed random results (i.e. acc=50%). I used Google's vocabulary and Bert-large config file and did not change other settings.
I think it might be the conversion was not successful, and thus results in a bad performance.
Any ideas?