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Task Adapters

Pre-trained model:

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bert xlm-roberta distilbert roberta

SICK

The SICK relatedness (SICK-R) task trains a linear model to output a score from 1 to 5 indicating the relatedness of two sentences. For the same dataset (SICK-E) can be treated as a three-class classification problem using the entailment labels (classes are ‘entailment’, ‘contradiction’, and ‘neutral’).
nli/sick@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on SICK.

nli/sick@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on SICK.

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