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Task Adapters

Pre-trained model:

distilbert
All architectures
distilbert bert xlm-roberta roberta bart gpt2 mbart
All shortcut names
All shortcut names
distilbert-base-uncased

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: 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.

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.

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