
### dra-eng

* source group: Dravidian languages 
* target group: English 
*  OPUS readme: [dra-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md)

*  model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kan-eng.kan.eng 	| 9.1 	| 0.312 |
| Tatoeba-test.mal-eng.mal.eng 	| 42.0 	| 0.584 |
| Tatoeba-test.multi.eng 	| 30.0 	| 0.493 |
| Tatoeba-test.tam-eng.tam.eng 	| 30.2 	| 0.467 |
| Tatoeba-test.tel-eng.tel.eng 	| 15.9 	| 0.378 |


### System Info: 
- hf_name: dra-eng

- source_languages: dra

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']

- src_constituents: {'tam', 'kan', 'mal', 'tel'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt

- src_alpha3: dra

- tgt_alpha3: eng

- short_pair: dra-en

- chrF2_score: 0.493

- bleu: 30.0

- brevity_penalty: 1.0

- ref_len: 10641.0

- src_name: Dravidian languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: dra

- tgt_alpha2: en

- prefer_old: False

- long_pair: dra-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### dra-eng


* source group: Dravidian languages
* target group: English
* OPUS readme: dra-eng
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 9.1, chr-F: 0.312
testset: URL, BLEU: 42.0, chr-F: 0.584
testset: URL, BLEU: 30.0, chr-F: 0.493
testset: URL, BLEU: 30.2, chr-F: 0.467
testset: URL, BLEU: 15.9, chr-F: 0.378


### System Info:


* hf\_name: dra-eng
* source\_languages: dra
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
* src\_constituents: {'tam', 'kan', 'mal', 'tel'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: dra
* tgt\_alpha3: eng
* short\_pair: dra-en
* chrF2\_score: 0.493
* bleu: 30.0
* brevity\_penalty: 1.0
* ref\_len: 10641.0
* src\_name: Dravidian languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: dra
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: dra-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### dra-eng


* source group: Dravidian languages
* target group: English
* OPUS readme: dra-eng
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 9.1, chr-F: 0.312
testset: URL, BLEU: 42.0, chr-F: 0.584
testset: URL, BLEU: 30.0, chr-F: 0.493
testset: URL, BLEU: 30.2, chr-F: 0.467
testset: URL, BLEU: 15.9, chr-F: 0.378 ### System Info:


* hf\_name: dra-eng
* source\_languages: dra
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
* src\_constituents: {'tam', 'kan', 'mal', 'tel'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: dra
* tgt\_alpha3: eng
* short\_pair: dra-en
* chrF2\_score: 0.493
* bleu: 30.0
* brevity\_penalty: 1.0
* ref\_len: 10641.0
* src\_name: Dravidian languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: dra
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: dra-eng
* 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 #ta #kn #ml #te #dra #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### dra-eng


* source group: Dravidian languages
* target group: English
* OPUS readme: dra-eng
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 9.1, chr-F: 0.312
testset: URL, BLEU: 42.0, chr-F: 0.584
testset: URL, BLEU: 30.0, chr-F: 0.493
testset: URL, BLEU: 30.2, chr-F: 0.467
testset: URL, BLEU: 15.9, chr-F: 0.378 ### System Info:


* hf\_name: dra-eng
* source\_languages: dra
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
* src\_constituents: {'tam', 'kan', 'mal', 'tel'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: dra
* tgt\_alpha3: eng
* short\_pair: dra-en
* chrF2\_score: 0.493
* bleu: 30.0
* brevity\_penalty: 1.0
* ref\_len: 10641.0
* src\_name: Dravidian languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: dra
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: dra-eng
* 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 #ta #kn #ml #te #dra #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### dra-eng


* source group: Dravidian languages
* target group: English
* OPUS readme: dra-eng
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 9.1, chr-F: 0.312
testset: URL, BLEU: 42.0, chr-F: 0.584
testset: URL, BLEU: 30.0, chr-F: 0.493
testset: URL, BLEU: 30.2, chr-F: 0.467
testset: URL, BLEU: 15.9, chr-F: 0.378