metadata
tags:
- adapterhub:sts/mrpc
- text-classification
- adapter-transformers
- gpt2
license: apache-2.0
Adapter gpt2_sts_mrpc_pfeiffer for gpt2
Adapter for gpt2 in Pfeiffer architecture trained on the MRPC 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_sts_mrpc_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: classification
- Dataset: MRPC
Author Information
- Author name(s): Hannah Sterz
- Author email: hannah.sterz@stud.tu-darmstadt.de
- Author links: Twitter
Citation
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/gpt2_sts_mrpc_pfeiffer.yaml.