đ run-deu Translation Model
This project focuses on the translation between Rundi and German. It provides a transformer - align model for this language pair, along with detailed information about the model, testing results, and system configurations.
đ Quick Start
The run - deu model is designed for translating between Rundi and German. You can download the original weights and test set translations from the provided links to start using the model.
⨠Features
- Language Pair: Supports translation from Rundi to German.
- Model Type: Uses the
transformer - align model.
- Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k) for pre - processing.
đĻ Installation
There is no specific installation steps provided in the original README. If you want to use this model, you can start by downloading the original weights:
[opus - 2020 - 06 - 16.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.zip)
đ Documentation
Model Information
- Source Group: Rundi
- Target Group: German
- OPUS Readme: [run - deu](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/run - deu/README.md)
- Model: transformer - align
- Source Language(s): run
- Target Language(s): deu
- Pre - processing: normalization + SentencePiece (spm4k, spm4k)
Download Links
- Original Weights: [opus - 2020 - 06 - 16.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.zip)
- Test Set Translations: [opus - 2020 - 06 - 16.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.test.txt)
- Test Set Scores: [opus - 2020 - 06 - 16.eval.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.eval.txt)
Benchmarks
| testset |
BLEU |
chr - F |
| Tatoeba - test.run.deu |
17.1 |
0.344 |
System Info
| Property |
Details |
| hf_name |
run - deu |
| source_languages |
run |
| target_languages |
deu |
| opus_readme_url |
[https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/run - deu/README.md](https://github.com/Helsinki - NLP/Tatoeba - Challenge/tree/master/models/run - deu/README.md) |
| original_repo |
Tatoeba - Challenge |
| tags |
['translation'] |
| languages |
['rn', 'de'] |
| src_constituents |
{'run'} |
| tgt_constituents |
{'deu'} |
| src_multilingual |
False |
| tgt_multilingual |
False |
| prepro |
normalization + SentencePiece (spm4k, spm4k) |
| url_model |
[https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.zip](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.zip) |
| url_test_set |
[https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.test.txt](https://object.pouta.csc.fi/Tatoeba - MT - models/run - deu/opus - 2020 - 06 - 16.test.txt) |
| src_alpha3 |
run |
| tgt_alpha3 |
deu |
| short_pair |
rn - de |
| chrF2_score |
0.344 |
| bleu |
17.1 |
| brevity_penalty |
0.961 |
| ref_len |
10562.0 |
| src_name |
Rundi |
| tgt_name |
German |
| train_date |
2020 - 06 - 16 |
| src_alpha2 |
rn |
| tgt_alpha2 |
de |
| prefer_old |
False |
| long_pair |
run - deu |
| helsinki_git_sha |
480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 |
| transformers_git_sha |
2207e5d8cb224e954a7cba69fa4ac2309e9ff30b |
| port_machine |
brutasse |
| port_time |
2020 - 08 - 21 - 14:41 |
đ License
This project is licensed under the Apache - 2.0 license.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
