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.!

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#Sentiment #BERT #DeepLearning

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Видео Training Sentiment Model Using BERT and Serving it with Flask API канала Abhishek Thakur