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Keyword: MobileBERT ×Clear all

3 claims from 1 paper

1. Computer Science › Topic Modeling

   MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

   Sun, Yu, Song, Liu, Yang and Zhou · Annual Meeting of the Association for Computational Linguistics (ACL) · 2020

   The paper proposes MobileBERT, a compressed, task-agnostic version of BERT built via knowledge transfer from a specially designed teacher, aimed at running on resource-limited mobile devices.

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   1. UncheckedMobileBERT is reported to be 4.3 times smaller and 5.5 times faster than BERT_BASE while giving competitive results on well-known benchmarks.“Empirical studies show that MobileBERT is 4.3x smaller and 5.5x faster than BERT_BASE while achieving competitive results on well-known benchmarks.”
   2. Unchecked“On the natural language inference tasks of GLUE, MobileBERT achieves a GLUEscore o 77.7 (0.6 lower than BERT_BASE), and 62 ms latency on a Pixel 4 phone.”
   3. UncheckedOn SQuAD v1.1 and v2.0 question answering, MobileBERT reaches dev F1 scores of 90.0 and 79.2, 1.5 and 2.1 points above BERT_BASE.“On the SQuAD v1.1/v2.0 question answering task, MobileBERT achieves a dev F1 score of 90.0/79.2 (1.5/2.1 higher than BERT_BASE).”