
### lit-ita

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

*  model: transformer-align
* source language(s): lit
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.ita 	| 42.2 	| 0.657 |


### System Info: 
- hf_name: lit-ita

- source_languages: lit

- target_languages: ita

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'lit'}

- tgt_constituents: {'ita'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt

- src_alpha3: lit

- tgt_alpha3: ita

- short_pair: lt-it

- chrF2_score: 0.657

- bleu: 42.2

- brevity_penalty: 0.9740000000000001

- ref_len: 1505.0

- src_name: Lithuanian

- tgt_name: Italian

- train_date: 2020-06-17

- src_alpha2: lt

- tgt_alpha2: it

- prefer_old: False

- long_pair: lit-ita

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### lit-ita


* source group: Lithuanian
* target group: Italian
* OPUS readme: lit-ita
* model: transformer-align
* source language(s): lit
* 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
----------


testset: URL, BLEU: 42.2, chr-F: 0.657


### System Info:


* hf\_name: lit-ita
* source\_languages: lit
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['lt', 'it']
* src\_constituents: {'lit'}
* tgt\_constituents: {'ita'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: lit
* tgt\_alpha3: ita
* short\_pair: lt-it
* chrF2\_score: 0.657
* bleu: 42.2
* brevity\_penalty: 0.9740000000000001
* ref\_len: 1505.0
* src\_name: Lithuanian
* tgt\_name: Italian
* train\_date: 2020-06-17
* src\_alpha2: lt
* tgt\_alpha2: it
* prefer\_old: False
* long\_pair: lit-ita
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### lit-ita


* source group: Lithuanian
* target group: Italian
* OPUS readme: lit-ita
* model: transformer-align
* source language(s): lit
* 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
----------


testset: URL, BLEU: 42.2, chr-F: 0.657 ### System Info:


* hf\_name: lit-ita
* source\_languages: lit
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['lt', 'it']
* src\_constituents: {'lit'}
* tgt\_constituents: {'ita'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: lit
* tgt\_alpha3: ita
* short\_pair: lt-it
* chrF2\_score: 0.657
* bleu: 42.2
* brevity\_penalty: 0.9740000000000001
* ref\_len: 1505.0
* src\_name: Lithuanian
* tgt\_name: Italian
* train\_date: 2020-06-17
* src\_alpha2: lt
* tgt\_alpha2: it
* prefer\_old: False
* long\_pair: lit-ita
* 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 #lt #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### lit-ita


* source group: Lithuanian
* target group: Italian
* OPUS readme: lit-ita
* model: transformer-align
* source language(s): lit
* 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
----------


testset: URL, BLEU: 42.2, chr-F: 0.657 ### System Info:


* hf\_name: lit-ita
* source\_languages: lit
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['lt', 'it']
* src\_constituents: {'lit'}
* tgt\_constituents: {'ita'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: lit
* tgt\_alpha3: ita
* short\_pair: lt-it
* chrF2\_score: 0.657
* bleu: 42.2
* brevity\_penalty: 0.9740000000000001
* ref\_len: 1505.0
* src\_name: Lithuanian
* tgt\_name: Italian
* train\_date: 2020-06-17
* src\_alpha2: lt
* tgt\_alpha2: it
* prefer\_old: False
* long\_pair: lit-ita
* 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 #lt #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### lit-ita


* source group: Lithuanian
* target group: Italian
* OPUS readme: lit-ita
* model: transformer-align
* source language(s): lit
* 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
----------


testset: URL, BLEU: 42.2, chr-F: 0.657### System Info:


* hf\_name: lit-ita
* source\_languages: lit
* target\_languages: ita
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['lt', 'it']
* src\_constituents: {'lit'}
* tgt\_constituents: {'ita'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: lit
* tgt\_alpha3: ita
* short\_pair: lt-it
* chrF2\_score: 0.657
* bleu: 42.2
* brevity\_penalty: 0.9740000000000001
* ref\_len: 1505.0
* src\_name: Lithuanian
* tgt\_name: Italian
* train\_date: 2020-06-17
* src\_alpha2: lt
* tgt\_alpha2: it
* prefer\_old: False
* long\_pair: lit-ita
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41