Progress in natural language processing research is catalyzed by the possibilities given by the widespread software frameworks. This paper introduces Adaptor library that transposes the traditional model-centric approach composed of pre-training + fine-tuning steps to objective-centric approach, composing the training process by applications of selected objectives. We survey research directions that can benefit from enhanced objective-centric experimentation in multitask training, custom objectives development, dynamic training curricula, or domain adaptation. Adaptor aims to ease reproducibility of these research directions in practice. Finally, we demonstrate the practical applicability of Adaptor in selected unsupervised domain adaptation scenarios.

翻译：广泛的软件框架提供了各种可能性,推动了自然语言处理研究的进展,本文件介绍了适应图书馆,该图书馆将传统的以模式为中心的方法转换为由培训前和微调步骤组成的以目标为中心的方法,通过应用选定目标来组织培训过程。我们调查研究方向,这些方向可以受益于在多任务培训、定制目标制定、动态培训课程或领域适应方面强化的以目标为中心的实验。适应者的目的是便利这些研究方向在实际中重新推广。最后,我们证明适应者在选定的不受监督的领域适应情景中的实际适用性。