Hyperparameter Tuning for Address Validation using Optuna

Abstract

Public institutions generally share personal information on their websites. That allows the possibility to find personal information when performing internet searches quickly. However, the personal information that is on the internet is not always accurate and can lead to misunderstandings and ambiguity concerning the accessible postal address information. That can be crucial if the information is used to find the location of the corresponding person or to use it as a postal address for correspondence. Many websites contain personal information, but sometimes as people change the web address, information is not up to date or is incorrect. To synchronize the available personal information on the internet could be used an algorithm for validation and verification of the personal addresses. In the paper, a hyperparameter tuning for address validation using the ROBERTa model of the Hugging Face Transformers library. It discusses the implementation of hyperparameter tuning for address validation and its evaluation to achieve high precision and accuracy.