mT5 Translation model
For further models, scripts and details, see our repository or our demo site.
Source language: English
Target language: Hungarian
Pretrained model used: mT5-small
Finetuned on subcorpora from OPUS
- Segments: 56.837.602
prefix: "translate English to Hungarian: "
Limitations
- tokenized input text (tokenizer: HuSpaCy)
- max_source_length = 128
- max_target_length = 128
Results
Model | BLEU | chrF-3 | chrF-6 |
---|---|---|---|
Google en-hu | 25.30 | 54.08 | 49.06 |
BART | 36.89 | 60.77 | 56.4 |
mT5 | 27.69 | 53.73 | 48.57 |
Citation
If you use this model, please cite the following paper:
@inproceedings {laki-yang-mt,
title = {{Jobban fordítunk magyarra, mint a Google!}},
booktitle = {XVIII. Magyar Számítógépes Nyelvészeti Konferencia},
year = {2022},
publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
address = {Szeged, Magyarország},
author = {Laki, László and Yang, Zijian Győző},
pages = {357--372}
}
- Downloads last month
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.