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…