Predicted output contains extra characters/missing character from tokens.

[foramjivani]

Thank you for the awesome solution. however, I am facing an error while predicting output as below :
I have trained model for name and address key and I am getting validation accuracy for this as below :

+--------------------+----------+----------+----------+----------+
| name | mEP | mER | mEF | mEA |
+====================+==========+==========+==========+==========+
| address | 0.920846 | 0.943102 | 0.931841 | 0.943102 |
+--------------------+----------+----------+----------+----------+
| name | 0.965278 | 0.923588 | 0.943973 | 0.923588 |
+--------------------+----------+----------+----------+----------+

but when I predict I am getting following output
Rajesh Gangaram -- name

Yadav 374,shri ram chawk, omr road, chennai, tamil nadu, 600097 -- address

however Yadav is part of name.

Can you please guide me how to reduce there token misclassifications ?

[Neelesh1121]

@foramjivani @wenwenyu same thing is happening with me also, please let me know if you have resolved this issue.