FineTuning BERT for Multi-Class Classification on custom Dataset | Transformer for NLP

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Комментарии
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After watching 200kg of videos, finally found someone who is explaining each part of the code in detail. Thanks!

viranchivedpathak
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Thanks. What I think would have completed this already excellent tutorial is a set-up, maybe a function that will accept the dataframe of the text you want to predict their classes, which then returns a dataframe of the predicted class and probability. Thank you one again for a super helpful tutorial.

OnLyhereAlone
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This is such a well explained video. Thanks!

CharlesOkwuagwu
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Thank you so much!! I was having so many issues with labels and this video helped loads

ChiaraVim
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Thank you so much for these informative tutorials. Really appreciate your efforts!

kshitizkhandelwal
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Thanks for crystal clear explanation Rohan.

Shahad
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Could this be used to detect the situation, task, action, and result in a piece of text? given a good dataset of course.

Nick-bo
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need requirements file for this, facing issues with loading trainer arguments, Idk if its just me.

capper
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Your works are great could you please make a tutorial on visualization tools.

venkateshr
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Thank you for the great tutorial, do you have any suggestion of models for predicting Category 1, Category 2 and Category 3 for the given text ?

vijayasrinivas
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I'm surprised that we are training the entire Bert model during fine tuning, if I got that right. I thought we freeze everything except the head.

wryltxw
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can we use this same for sarcasm detection????