TechQA.

Question

Are special tokens [CLS] [SEP] absolutely necessary while fine tuning BERT?

score 2041 · Answer 1 · 2020-09-29 23:13:27

1

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2041

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Are special tokens [CLS] [SEP] absolutely necessary while fine tuning BERT?

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score 340 · Answer 2 · 2020-10-01 13:11:23

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score 7524 · Answer 3 · 2020-09-30 20:58:50

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score 2150 · Answer 6 · 2020-10-05 02:13:29

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score 2353 · Answer 8 · 2020-10-06 02:50:36

what's the difference between "self-attention mechanism" and "full-connection" layer?

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score 158 · Answer 9 · 2020-10-03 11:10:46

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828 views Asked by Dror M At 05 October 2020 at 13:00

TechQA.

List Question

Are special tokens [CLS] [SEP] absolutely necessary while fine tuning BERT?

BERT NER Python

Fine tuning of Bert word embeddings

how to predict a masked word in a given sentence

Batch size keeps on changin, throwing `Pytorch Value Error Expected: input batch size does not match target batch size`

Huggingface BERT SequenceClassification - ValueError: too many values to unpack (expected 2)

How do I train word embeddings within a large block of custom text using BERT?

what's the difference between "self-attention mechanism" and "full-connection" layer?

Convert dtype('<U13309') to string in python

Can I add a layer of meta data in a text classification model?

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