
### pol-ara

* source group: Polish 
* target group: Arabic 
*  OPUS readme: [pol-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md)

*  model: transformer
* source language(s): pol
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.ara 	| 20.4 	| 0.491 |


### System Info: 
- hf_name: pol-ara

- source_languages: pol

- target_languages: ara

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['pl', 'ar']

- src_constituents: {'pol'}

- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt

- src_alpha3: pol

- tgt_alpha3: ara

- short_pair: pl-ar

- chrF2_score: 0.491

- bleu: 20.4

- brevity_penalty: 0.9590000000000001

- ref_len: 1028.0

- src_name: Polish

- tgt_name: Arabic

- train_date: 2020-07-03

- src_alpha2: pl

- tgt_alpha2: ar

- prefer_old: False

- long_pair: pol-ara

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["pl", "ar"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation pl ar license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### pol-ara


* source group: Polish
* target group: Arabic
* OPUS readme: pol-ara
* model: transformer
* source language(s): pol
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 20.4, chr-F: 0.491


### System Info:


* hf\_name: pol-ara
* source\_languages: pol
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['pl', 'ar']
* src\_constituents: {'pol'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: pol
* tgt\_alpha3: ara
* short\_pair: pl-ar
* chrF2\_score: 0.491
* bleu: 20.4
* brevity\_penalty: 0.9590000000000001
* ref\_len: 1028.0
* src\_name: Polish
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: pl
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: pol-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### pol-ara


* source group: Polish
* target group: Arabic
* OPUS readme: pol-ara
* model: transformer
* source language(s): pol
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 20.4, chr-F: 0.491 ### System Info:


* hf\_name: pol-ara
* source\_languages: pol
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['pl', 'ar']
* src\_constituents: {'pol'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: pol
* tgt\_alpha3: ara
* short\_pair: pl-ar
* chrF2\_score: 0.491
* bleu: 20.4
* brevity\_penalty: 0.9590000000000001
* ref\_len: 1028.0
* src\_name: Polish
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: pl
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: pol-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### pol-ara


* source group: Polish
* target group: Arabic
* OPUS readme: pol-ara
* model: transformer
* source language(s): pol
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 20.4, chr-F: 0.491 ### System Info:


* hf\_name: pol-ara
* source\_languages: pol
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['pl', 'ar']
* src\_constituents: {'pol'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: pol
* tgt\_alpha3: ara
* short\_pair: pl-ar
* chrF2\_score: 0.491
* bleu: 20.4
* brevity\_penalty: 0.9590000000000001
* ref\_len: 1028.0
* src\_name: Polish
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: pl
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: pol-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### pol-ara


* source group: Polish
* target group: Arabic
* OPUS readme: pol-ara
* model: transformer
* source language(s): pol
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 20.4, chr-F: 0.491### System Info:


* hf\_name: pol-ara
* source\_languages: pol
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['pl', 'ar']
* src\_constituents: {'pol'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: pol
* tgt\_alpha3: ara
* short\_pair: pl-ar
* chrF2\_score: 0.491
* bleu: 20.4
* brevity\_penalty: 0.9590000000000001
* ref\_len: 1028.0
* src\_name: Polish
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: pl
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: pol-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41