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An Empirical Study on Hyperparameter Optimization for Fine-Tuning
  Pre-trained Language Models

An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models

17 June 2021
Xueqing Liu
Chi Wang
ArXivPDFHTML

Papers citing "An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models"

4 / 4 papers shown
Title
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model
  From Scratch?
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?
Joel Niklaus
Daniele Giofré
33
11
0
30 Nov 2022
Exploring Mode Connectivity for Pre-trained Language Models
Exploring Mode Connectivity for Pre-trained Language Models
Yujia Qin
Cheng Qian
Jing Yi
Weize Chen
Yankai Lin
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
29
20
0
25 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
33
109
0
31 Aug 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,996
0
20 Apr 2018
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