Papers with Amazon reviews classification

1 papers
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference (2023.acl-short)

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Challenge: Large-scale language model pretraining is expensive as the models and pretraining corpora have become larger over time.
Approach: They propose a modified transformer encoder that increases throughput for masked language model pretraining by more than 2x.
Outcome: The proposed model increases throughput on IMDB and Amazon reviews classification and CoNLL NER tasks by 3.5x with minimal performance degradation.

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