Task Adapters

SST-2

The Stanford Sentiment Treebank is a binary single-sentence classification task consisting of sentences extracted from movie reviews with human annotations of their sentiment.

Website

sentiment/sst-2@ukp bert-base-uncased

1 version Architecture: pfeiffer Head:

Adapter in Pfeiffer architecture trained on the binary SST task for 20 epochs with early stopping and a learning rate of 1e-4. See https://arxiv.org/pdf/2007.07779.pdf.

sentiment/sst-2@ukp bert-base-uncased

1 version Architecture: houlsby Head:

Adapter in Houlsby architecture trained on the binary SST task for 20 epochs with early stopping and a learning rate of 1e-4. See https://arxiv.org/pdf/2007.07779.pdf.

AdapterHub/bert-base-uncased-pf-sst2 bert-base-uncased

huggingface.co Head:

# Adapter `AdapterHub/bert-base-uncased-pf-sst2` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...