tags: | |
- adapterhub:sts/qqp | |
- text-classification | |
- adapter-transformers | |
- gpt2 | |
license: "apache-2.0" | |
# Adapter `gpt2_sts_qqp_houlsby` for gpt2 | |
Adapter for gpt2 in Houlsby architecture trained on the QQP dataset for 10 epochs with a learning rate of 1e-4. | |
**This adapter was created for usage with the [Adapters](https://github.com/Adapter-Hub/adapters) library.** | |
## Usage | |
First, install `adapters`: | |
``` | |
pip install -U adapters | |
``` | |
Now, the adapter can be loaded and activated like this: | |
```python | |
from adapters import AutoAdapterModel | |
model = AutoAdapterModel.from_pretrained("gpt2") | |
adapter_name = model.load_adapter("AdapterHub/gpt2_sts_qqp_houlsby") | |
model.set_active_adapters(adapter_name) | |
``` | |
## Architecture & Training | |
- Adapter architecture: houlsby | |
- Prediction head: classification | |
- Dataset: [QQP](https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs) | |
## Author Information | |
- Author name(s): Hannah Sterz | |
- Author email: hannah.sterz@stud.tu-darmstadt.de | |
- Author links: [Twitter](https://twitter.com/@h_sterz) | |
## Citation | |
```bibtex | |
``` | |
*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/gpt2_sts_qqp_houlsby.yaml*. |