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Task Adapters

Pre-trained model:

bert
All architectures
bert xlm-roberta distilbert gpt2 bart roberta mbart
All shortcut names
All shortcut names
aubmindlab/bert-base-arabert bert-base-multilingual-cased bert-base-uncased bert-base-multilingual-uncased malteos/scincl

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...

Paper

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