Gradual Fine-Tuning for Low-Resource Domain Adaptation

Code

• github.com/fe1ixxu/Gradual-Finetune
  OfficialIn paperpytorch★ 6
• github.com/isi-boston/ed-pooling
  pytorch★ 2

Abstract

Fine-tuning is known to improve NLP models by adapting an initial model trained on more plentiful but less domain-salient examples to data in a target domain. Such domain adaptation is typically done using one stage of fine-tuning. We demonstrate that gradually fine-tuning in a multi-stage process can yield substantial further gains and can be applied without modifying the model or learning objective.

Tasks

Reproductions