Training BERT to identify 15 programming languages.
This is a fun side project where I explored transformers based sentiment classification for the first time by training BERT to identify 15 of the most popular programming languages. i startED with simple machine learning approaches and gradually work our way up to more complex methods till we have a satisfactory solution. The Dataset Our dataset is a csv containing 45,000 samples. The dataset is made up of two columns, the ‘code’ feature contains code snippets we want to classify and the language column, which is our label contains the programming language it belongs to....