---
tags:
- adapter-transformers
- question-answering
- adapterhub:qa/squad2
- bart
datasets:
- squad_v2
license: "apache-2.0"
---

# Adapter `facebook-bart-large_qa_squad2_lohfink-rossi-leaveout` for facebook/bart-large

**Note: This adapter was not trained by the AdapterHub team, but by these author(s): Till Lohfink & Maria Rossi (Contributed equally.).
See author details below.**

Adapter for bart-large using a custom architecture (Lohfink-Rossi-Leaveout) trained on the SQuAD 2.0 dataset for 15 epochs with a Cosine with Restarts learning rate scheduler ans learning rate 0.001.

**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("facebook/bart-large")
adapter_name = model.load_adapter("AdapterHub/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout")
model.set_active_adapters(adapter_name)
```

## Architecture & Training

- Adapter architecture: lohfink-rossi-leaveout
- Prediction head: question answering
- Dataset: [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/)

## Author Information

- Author name(s): Till Lohfink & Maria Rossi (Contributed equally.)
- Author email: tlohfink3@gatech.edu;mrossi7@gatech.edu
- Author links: 



## Citation

```bibtex

```

*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/lohfink-rossi/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout.yaml*.