
### ita-ara

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

*  model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.ara 	| 21.9 	| 0.517 |


### System Info: 
- hf_name: ita-ara

- source_languages: ita

- target_languages: ara

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ita'}

- 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/ita-ara/opus-2020-07-03.zip

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

- src_alpha3: ita

- tgt_alpha3: ara

- short_pair: it-ar

- chrF2_score: 0.517

- bleu: 21.9

- brevity_penalty: 0.95

- ref_len: 1161.0

- src_name: Italian

- tgt_name: Arabic

- train_date: 2020-07-03

- src_alpha2: it

- tgt_alpha2: ar

- prefer_old: False

- long_pair: ita-ara

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### ita-ara


* source group: Italian
* target group: Arabic
* OPUS readme: ita-ara
* model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 21.9, chr-F: 0.517


### System Info:


* hf\_name: ita-ara
* source\_languages: ita
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'ar']
* src\_constituents: {'ita'}
* 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: ita
* tgt\_alpha3: ara
* short\_pair: it-ar
* chrF2\_score: 0.517
* bleu: 21.9
* brevity\_penalty: 0.95
* ref\_len: 1161.0
* src\_name: Italian
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: it
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: ita-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### ita-ara


* source group: Italian
* target group: Arabic
* OPUS readme: ita-ara
* model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 21.9, chr-F: 0.517 ### System Info:


* hf\_name: ita-ara
* source\_languages: ita
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'ar']
* src\_constituents: {'ita'}
* 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: ita
* tgt\_alpha3: ara
* short\_pair: it-ar
* chrF2\_score: 0.517
* bleu: 21.9
* brevity\_penalty: 0.95
* ref\_len: 1161.0
* src\_name: Italian
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: it
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: ita-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 #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### ita-ara


* source group: Italian
* target group: Arabic
* OPUS readme: ita-ara
* model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 21.9, chr-F: 0.517 ### System Info:


* hf\_name: ita-ara
* source\_languages: ita
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['it', 'ar']
* src\_constituents: {'ita'}
* 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: ita
* tgt\_alpha3: ara
* short\_pair: it-ar
* chrF2\_score: 0.517
* bleu: 21.9
* brevity\_penalty: 0.95
* ref\_len: 1161.0
* src\_name: Italian
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: it
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: ita-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### ita-ara


* source group: Italian
* target group: Arabic
* OPUS readme: ita-ara
* model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 21.9, chr-F: 0.517