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Task Adapters

Pre-trained model:

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

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 roberta-large
1 version Architecture: houlsby Head: 

STS-B adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 30 epochs).

sts/sts-b@ukp roberta-base
1 version Architecture: pfeiffer Head: 

STS-B adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 30 epochs).

sts/sts-b@ukp roberta-base
1 version Architecture: houlsby Head: 

STS-B adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 30 epochs).

sts/sts-b@ukp roberta-large
1 version Architecture: pfeiffer Head: 

STS-B adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 30 epochs).

AdapterHub/roberta-base-pf-stsb roberta-base
huggingface.co Head: 

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

Paper

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