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Task Adapters

Pre-trained model:

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

STS-B

The Semantic Textual Similarity Benchmark is a collection of sentence pairs drawn from news headlines and other sources. They were annotated with a score from 1 to 5 denoting how similar the two sentences are in terms of semantic meaning.
  Website
sts/sts-b@ukp gpt2
1 version Architecture: pfeiffer non-linearity: relu reduction factor: 16 Head: 

Adapter for gpt2 in Pfeiffer architecture trained on the STS-B dataset for 10 epochs with a learning rate of 1e-4.

sts/sts-b@ukp gpt2
1 version Architecture: houlsby non-linearity: swish reduction factor: 16 Head: 

Adapter for gpt2 in Houlsby architecture trained on the STS-B dataset for 10 epochs with a learning rate of 1e-4.

Paper

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