Task Adapters

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’).

Website 🤗 huggingface.co

nli/sick@ukp bert-base-uncased

1 version Architecture: pfeiffer Head:

Pfeiffer Adapter trained on SICK.

AdapterHub/bert-base-uncased-pf-sick bert-base-uncased

huggingface.co Head:

# Adapter `AdapterHub/bert-base-uncased-pf-sick` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...