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Xiaorong Wang

1 accepted papers

2023

Energy and Carbon Considerations of Fine-Tuning BERT

EMNLP 2023short findings

Despite the popularity of the pre-train then fine-tune paradigm in the NLP community, existing work quantifying energy costs and associated carbon emissions has largely focused on language model pre-training. Although a single pre-training run draws substantially more energy than fine-tuning, fine-t…

Cited by 0SourceScholar