This project aims to fine-tune BERT model to detect spam SMS using SMS Spam Collection. The dataset consist of 5,574 English SMS which tagged accroding ham or spam.
BERT is designed to help computers understand the meaning of ambiguous language in text by using surrounding text to establish context.
Using HuggingFace to fine tune bert-base-model, the following result is achieved.
The classification report is:
