google/electra-small-generator

ELECTRA is a new method for self-supervised language representation learning . It can be used to pre-train transformer networks using relatively little compute . ELECTRA models are trained to distinguish "real" input tokens vs "fake" input . tokens generated by another neural network, similar to the discriminator of a GAN . At small scale, ELECTRA achieves strong results even when trained on a single GPU . At large scale, it achieves state-of-the-art results on the SQuAD 2.0 dataset . It also supports fine-tuning ELECTRA on downstream tasks including classification, QA tasks, and sequence tagging tasks (e.g., text chunking) The,