---
tags:
- text2text-generation
- adapter-transformers
- adapterhub:mt/wmt16_en_ro
- mbart
license: "apache-2.0"
---

# Adapter `facebook-mbart-large-cc25_translation_wmt16_ro_en_pfeiffer` for facebook/mbart-large-cc25

Adapter for mbart-large-cc25 in Pfeiffer architecture with reduction factor 2 trained on the WMT16 Romanian-English translation task.
Training for 10 epochs with early stopping and a learning rate of 1e-4.
After post-processing following https://github.com/huggingface/transformers/blob/master/examples/legacy/seq2seq/romanian_postprocessing.md, it achieves a BLEU score of 36.3.


**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/mbart-large-cc25")
adapter_name = model.load_adapter("AdapterHub/facebook-mbart-large-cc25_translation_wmt16_ro_en_pfeiffer")
model.set_active_adapters(adapter_name)
```

## Architecture & Training

- Adapter architecture: pfeiffer
- Prediction head: seq2seq lm
- Dataset: [WMT16 English-Romanian](http://www.statmt.org/wmt16/index.html)

## Author Information

- Author name(s): Clifton Poth
- Author email: calpt@mail.de
- Author links: [Website](https://calpt.github.io), [GitHub](https://github.com/calpt), [Twitter](https://twitter.com/@clifapt)



## Citation

```bibtex

```

*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/facebook-mbart-large-cc25_translation_wmt16_ro_en_pfeiffer.yaml*.