Fine-Tuning BERT With Custom Dataset

Abdulkader Helwan
7 min readFeb 20, 2023

BERT stands for “Bidirectional Encoder Representations from Transformers." It is a pre-trained language model developed by Google that has been trained on a large corpus of text data to understand the contextual relationships between words (or sub-words) in a sentence. BERT has proven to be highly effective for various natural language processing tasks such as question answering, sentiment analysis, and text classification.

The primary technological advancement of BERT is the application of Transformer’s bidirectional training, a well-liked attention model, to…

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