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gpt2_nli_rte_houlsby

Text Classification
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adapterhub:nli/rte
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tags:
  - gpt2
  - adapterhub:nli/rte
  - adapter-transformers
  - text-classification
license: apache-2.0

Adapter gpt2_nli_rte_houlsby for gpt2

Adapter for gpt2 in Houlsby architecture trained on the RTE dataset for 10 epochs with 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("gpt2")
adapter_name = model.load_adapter("AdapterHub/gpt2_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/gpt2_nli_rte_houlsby.yaml.