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

• Author name(s): Hannah Sterz
• Author email: [email protected]
• Author links: Twitter

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/gpt2_nli_rte_houlsby.yaml.