Elad Ben Zaken

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

We introduce BitFit, a sparse-finetuning method where only the bias-terms of the model (or a subset of them) are being modified. We show that with small-to-medium training data, applying BitFit on pre-trained BERT models is competitive with (and sometimes better than) fine-tuning the entire model. F…