Fine-tuning BERT

This paper describes how to fine-tune the BERT Transformer encoder model for the benchmarks MNLI, SQuAD v1.1., SQuAD v2.0, and SWAG. After carefully introducing the mathematical and BERT-specificnotation, it discusses not only the fine-tuning phase but also the evaluation phase and the most common measure applied to the respective benchmark (Accuracy, F1).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15337316
Primary Topic
Advanced Electrical Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fine-tuning BERT

Zenodo (CERN European Organization for Nuclear Research)
Advanced Electrical Measurement Techniques
article

Fine-tuning BERT

article en

Abstract

This paper describes how to fine-tune the BERT Transformer encoder model for the benchmarks MNLI, SQuAD v1.1., SQuAD v2.0, and SWAG. After carefully introducing the mathematical and BERT-specificnotation, it discusses not only the fine-tuning phase but also the evaluation phase and the most common measure applied to the respective benchmark (Accuracy, F1).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Advanced Electrical Measurement Techniques
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fine-tuning BERT · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS