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facebook-bart-base_sts_sts-b_pfeiffer

Text Classification
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adapterhub:sts/sts-b
bart
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facebook-bart-base_sts_sts-b_pfeiffer / README.md
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Add adapter facebook-bart-base_sts_sts-b_pfeiffer version 1
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metadata
tags:
  - text-classification
  - adapter-transformers
  - adapterhub:sts/sts-b
  - bart
license: apache-2.0

Adapter facebook-bart-base_sts_sts-b_pfeiffer for facebook/bart-base

Adapter for bart-base in Pfeiffer architecture trained on the STS-B dataset for 15 epochs with early stopping and a learning rate of 1e-4.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("facebook/bart-base")
adapter_name = model.load_adapter("AdapterHub/facebook-bart-base_sts_sts-b_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

  • Adapter architecture: pfeiffer
  • Prediction head: classification
  • Dataset: STS-B

Author Information

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/facebook-bart-base_sts_sts-b_pfeiffer.yaml.