Biomedical Domain Adaptation And Transfer Learning Evaluation

via “domain adaptation via continued pre-training on custom corpora”

fill-mask model by undefined. 6,06,75,227 downloads.

Unique: Masked language modeling objective enables unsupervised domain adaptation without labeled data; supports efficient continued pre-training via gradient accumulation and mixed-precision training, reducing compute requirements by 2-4x

vs others: More data-efficient than fine-tuning on labeled data because it leverages unlabeled domain-specific text, and more practical than training domain-specific models from scratch due to knowledge retention from general pre-training