Submission Name: Finetuned LMs
Model Name: Bernice
GitHub/Model URL:
Model Description
Bernice is a multilingual pre-trained encoder exclusively for Twitter data. The model was released with the EMNLP 2022 paper Bernice: A Multilingual Pre-trained Encoder for Twitter by Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Mark Dredze, and Philip Resnik.
Submission Details
Number of Submitted Tasks: 169
Average of Submitted Tasks: 169
SPARROW score: 70.8522
Submission Description: All finetuning parameters are described in paper: The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages