Training Sentiment Model Using BERT and Serving it with Flask API

In this video, I will show you how you can train your own #sentiment model using #BERT as base model and then serve the model using #flask rest api. The video focuses on creation of data loaders, creating a bert model using transformers python library, training the model and then doing inference using flask. The model described here can achieve an accuracy of 93% on IMDB 50K Movie Reviews data set. The training dataset can be found here: https://www.kaggle.com/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews Bert base uncased files used in this video can be downloaded from here: https://www.kaggle.com/abhishek/bert-base-uncased Github repo with all the code will be shared after the premier.! Like, Subscribe & Share ;) #Sentiment #BERT #DeepLearning Follow me on: Twitter: https://twitter.com/abhi1thakur LinkedIn: https://www.linkedin.com/in/abhi1thakur/ Kaggle: https://kaggle.com/abhishek