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facebook-bart-base_nli_rte_houlsby

Text Classification
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adapterhub:nli/rte
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facebook-bart-base_nli_rte_houlsby / README.md
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metadata
tags:
  - bart
  - adapter-transformers
  - adapterhub:nli/rte
  - text-classification
license: apache-2.0

Adapter facebook-bart-base_nli_rte_houlsby for facebook/bart-base

Adapter for bart-base in Houlsby architecture trained on the RTE 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_nli_rte_houlsby")
model.set_active_adapters(adapter_name)

Architecture & Training

  • Adapter architecture: houlsby
  • Prediction head: classification
  • Dataset: RTE

Author Information

Citation

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