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 distilbert-base-uncased

1 version Architecture: houlsby Head:

Adapter for distilbert-base-uncased in Houlsby architecture trained on the SST-2 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

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

1 version Architecture: pfeiffer Head:

Adapter for distilbert-base-uncased in Pfeiffer architecture trained on the SST-2 dataset for 15 epochs with early stopping and a learning rate of 1e-4.