Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker
AWS Machine Learning
MARCH 6, 2024
Similarly, pLMs are pre-trained on large protein sequence databases using unlabeled, self-supervised learning. This means that it can take a long time to train them to sufficient accuracy. Long training times, plus large instances, equals high cost, which can put this work out of reach for many researchers.
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