Training a massively multimodal transformer on YouTube data: pre-training and parameter efficient fine-tuning on HPC infrastructure

Day, Kastan Vrabel

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University of Illinois at Urbana-Champaign

Training a massively multimodal transformer on YouTube data: pre-training and parameter efficient fine-tuning on HPC infrastructure

dc:creator Day, Kastan Vrabel

thesis:degree_name M.S.

dc:date2023

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms

Degree

thesis:*

Name thesis:degree_name: M.S.
Level thesis:degree_level: Thesis
Discipline thesis:degree_discipline: Computer Science
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2023

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Day, Kastan Vrabel
Contributors dc:contributor: Kindratenko, Volodymyr

Subjects

dc:subject × 7

Rights

dc:rights

Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/120172
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/120172

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Day, Kastan Vrabel. Training a massively multimodal transformer on YouTube data: pre-training and parameter efficient fine-tuning on HPC infrastructure. Thesis thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/120172

Training a massively multimodal transformer on YouTube data: pre-training and parameter efficient fine-tuning on HPC infrastructure

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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