Fine Tuning Transformer (BERT) for Customer Review Prediction | NLP | HuggingFace | Machine Learning

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Great content. Just a suggestion, whenever you are writing a tensor for the first time, try to write the dimension of the tensor as a comment. If the dimension gets updated (for example by taking argmax) write the updated dimension on the side.

thegreatlazydazz

Thanks for the tutorial. For the cross-entropy requirements, we needed to use the range 0-4 instead of 1-5, could not we use just one line of code for mapping instead of a multiline function? I mean this line: df['stars'] = df['stars'] - 1

One more question, do we need to balance the size of the classes?

orkhanamrullayev

Can this be considered a regression problem ? Since, there are reviews which are numerical in nature ?

sohambasu

How to fine tune bert for roman urdu datset?

rashdakhanzada

Could you achive this just using HuggingFace Trainer Api instead of doing it all manually via PyTorch?

compeng

Thanks for the nice educative videos!!

kuberchaurasiya

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