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DTSTART:19700308T020000
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DTSTAMP:20250626T234543Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241119T120000
DTEND;TZID=America/New_York:20241119T170000
UID:submissions.supercomputing.org_SC24_sess487_post226@linklings.com
SUMMARY:Large Genomic Language Models: Towards Their Hyperparameter Optimi
 zation
DESCRIPTION:Andrei Politov and Neringa Jurenaite (Technical University Dre
 sden, ZIH; Center for Scalable Data Analytics and Artificial Intelligence 
 (ScaDS.AI) Dresden/Leipzig)\n\nThis study explores hyperparameter optimiza
 tion for encoder-only genomics large language models, balancing machine le
 arning performance, hardware resource usage and power consumption. Multipl
 e search techniques and objective functions were implemented, and from the
  results we obtained two types of models: a Compact and an Optimal model. 
 Comprehensive tests were carried out to rank these models based on their m
 odel performance and resource usage.\n\nRegistration Category: Tech Progra
 m Reg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-A
 lexander University, Erlangen-Nuremberg; Erlangen National High Performanc
 e Computing Center); Sally Ellingson (University of Kentucky); and Alan Su
 ssman (University of Maryland)\n\n
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