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Size of the dataset ( 3 million samples).
There were 9K+ classes,a multi-classification prob-
lem.Optimised our code a lot,appied Feature Engineering and NLP techniques in python.
About
Used Albert and Distillbert and en- sembled it to improve accuracy by 10.Used synthetic Pytorch datasets.