distilbert-base-uncased-go-emotions-student

Model Description

This model is distilled from the zero-shot classification pipeline on the unlabeled go_emotions dataset using this
script.
It was trained with mixed precision for 10 epochs and otherwise used the default script arguments.

Intended Usage

The model can be used like any other model trained on GoEmotions, but will likely not perform as well as a model
trained with full supervision. It is primarily intended as a demo of how an expensive NLI-based zero-shot model
can be distilled to a more efficient student, allowing a classifier to be trained with only unlabeled data. Note
that although the GoEmotions dataset allow multiple labels per instance, the teacher used single-label
classification to create psuedo-labels.