### fr-it

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

*  model: transformer-align
* source language(s): fra
* target language(s): ita
* raw source language(s): fra
* raw target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opusTCv20210807-2021-11-11.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.zip)
* test set translations: [opusTCv20210807-2021-11-11.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.test.txt)
* test set scores: [opusTCv20210807-2021-11-11.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.eval.txt)

## Benchmarks

| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| Tatoeba-test-v2021-08-07.fra-ita 	| 54.8 	| 0.737 	| 10000 	| 61517 	| 0.953 |


### System Info: 
- hf_name: fr-it
- source_languages: fra
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'it']
- src_constituents: ('French', {'fra'})
- tgt_constituents: ('Italian', {'ita'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fra-ita
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.test.txt
- src_alpha3: fra
- tgt_alpha3: ita
- chrF2_score: 0.737
- bleu: 54.8
- src_name: French
- tgt_name: Italian
- train_date: 2021-11-11 00:00:00
- src_alpha2: fr
- tgt_alpha2: it
- prefer_old: False
- short_pair: fr-it
- helsinki_git_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
- transformers_git_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
- port_machine: LM0-400-22516.local
- port_time: 2021-11-11-19:40
{"language": ["fr", "it"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation fr it license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### fr-it


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


Benchmarks
----------



### System Info:


* hf\_name: fr-it
* source\_languages: fra
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'it']
* src\_constituents: ('French', {'fra'})
* tgt\_constituents: ('Italian', {'ita'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: fra-ita
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: ita
* chrF2\_score: 0.737
* bleu: 54.8
* src\_name: French
* tgt\_name: Italian
* train\_date: 2021-11-11 00:00:00
* src\_alpha2: fr
* tgt\_alpha2: it
* prefer\_old: False
* short\_pair: fr-it
* helsinki\_git\_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
* transformers\_git\_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
* port\_machine: URL
* port\_time: 2021-11-11-19:40



### fr-it


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


Benchmarks
---------- ### System Info:


* hf\_name: fr-it
* source\_languages: fra
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'it']
* src\_constituents: ('French', {'fra'})
* tgt\_constituents: ('Italian', {'ita'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: fra-ita
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: ita
* chrF2\_score: 0.737
* bleu: 54.8
* src\_name: French
* tgt\_name: Italian
* train\_date: 2021-11-11 00:00:00
* src\_alpha2: fr
* tgt\_alpha2: it
* prefer\_old: False
* short\_pair: fr-it
* helsinki\_git\_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
* transformers\_git\_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
* port\_machine: URL
* port\_time: 2021-11-11-19:40
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### fr-it


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


Benchmarks
---------- ### System Info:


* hf\_name: fr-it
* source\_languages: fra
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'it']
* src\_constituents: ('French', {'fra'})
* tgt\_constituents: ('Italian', {'ita'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: fra-ita
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: ita
* chrF2\_score: 0.737
* bleu: 54.8
* src\_name: French
* tgt\_name: Italian
* train\_date: 2021-11-11 00:00:00
* src\_alpha2: fr
* tgt\_alpha2: it
* prefer\_old: False
* short\_pair: fr-it
* helsinki\_git\_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
* transformers\_git\_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
* port\_machine: URL
* port\_time: 2021-11-11-19:40
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### fr-it


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


Benchmarks
----------