/BERT_Models

Discover the potential of BERT model through fine-tuning and Q&A applications in this repository

Primary LanguageJupyter Notebook

1) BERT_FineTune


The Corpus of Linguistic Acceptability (CoLA) dataset for single sentence classification. It’s a set of sentences labelled as grammatically correct or incorrect. It was first published in May of 2018 and is one of the tests included in the “GLUE Benchmark” on which models like BERT are competing.
Link

2) BERT Q&A


A system that can fairly & quickly find the most relevant documents from our dataset and can then pull out the span of text most likely to answer our question. Utilizing the BERT model we have created a simple Q&A system.
Link