
### iir-iir

* source group: Indo-Iranian languages 
* target group: Indo-Iranian languages 
*  OPUS readme: [iir-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README.md)

*  model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.asm-hin.asm.hin 	| 3.5 	| 0.202 |
| Tatoeba-test.asm-zza.asm.zza 	| 12.4 	| 0.014 |
| Tatoeba-test.hin-asm.hin.asm 	| 6.2 	| 0.238 |
| Tatoeba-test.hin-mar.hin.mar 	| 27.0 	| 0.560 |
| Tatoeba-test.hin-urd.hin.urd 	| 21.4 	| 0.507 |
| Tatoeba-test.mar-hin.mar.hin 	| 13.4 	| 0.463 |
| Tatoeba-test.multi.multi 	| 17.7 	| 0.460 |
| Tatoeba-test.urd-hin.urd.hin 	| 13.4 	| 0.363 |
| Tatoeba-test.zza-asm.zza.asm 	| 5.3 	| 0.000 |


### System Info: 
- hf_name: iir-iir

- source_languages: iir

- target_languages: iir

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']

- src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}

- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt

- src_alpha3: iir

- tgt_alpha3: iir

- short_pair: iir-iir

- chrF2_score: 0.46

- bleu: 17.7

- brevity_penalty: 1.0

- ref_len: 4992.0

- src_name: Indo-Iranian languages

- tgt_name: Indo-Iranian languages

- train_date: 2020-07-27

- src_alpha2: iir

- tgt_alpha2: iir

- prefer_old: False

- long_pair: iir-iir

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation bn or gu mr ur hi ps os as si iir license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### iir-iir


* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: iir-iir
* model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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: 3.5, chr-F: 0.202
testset: URL, BLEU: 12.4, chr-F: 0.014
testset: URL, BLEU: 6.2, chr-F: 0.238
testset: URL, BLEU: 27.0, chr-F: 0.560
testset: URL, BLEU: 21.4, chr-F: 0.507
testset: URL, BLEU: 13.4, chr-F: 0.463
testset: URL, BLEU: 17.7, chr-F: 0.460
testset: URL, BLEU: 13.4, chr-F: 0.363
testset: URL, BLEU: 5.3, chr-F: 0.000


### System Info:


* hf\_name: iir-iir
* source\_languages: iir
* target\_languages: iir
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
* src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: iir
* tgt\_alpha3: iir
* short\_pair: iir-iir
* chrF2\_score: 0.46
* bleu: 17.7
* brevity\_penalty: 1.0
* ref\_len: 4992.0
* src\_name: Indo-Iranian languages
* tgt\_name: Indo-Iranian languages
* train\_date: 2020-07-27
* src\_alpha2: iir
* tgt\_alpha2: iir
* prefer\_old: False
* long\_pair: iir-iir
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### iir-iir


* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: iir-iir
* model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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: 3.5, chr-F: 0.202
testset: URL, BLEU: 12.4, chr-F: 0.014
testset: URL, BLEU: 6.2, chr-F: 0.238
testset: URL, BLEU: 27.0, chr-F: 0.560
testset: URL, BLEU: 21.4, chr-F: 0.507
testset: URL, BLEU: 13.4, chr-F: 0.463
testset: URL, BLEU: 17.7, chr-F: 0.460
testset: URL, BLEU: 13.4, chr-F: 0.363
testset: URL, BLEU: 5.3, chr-F: 0.000 ### System Info:


* hf\_name: iir-iir
* source\_languages: iir
* target\_languages: iir
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
* src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: iir
* tgt\_alpha3: iir
* short\_pair: iir-iir
* chrF2\_score: 0.46
* bleu: 17.7
* brevity\_penalty: 1.0
* ref\_len: 4992.0
* src\_name: Indo-Iranian languages
* tgt\_name: Indo-Iranian languages
* train\_date: 2020-07-27
* src\_alpha2: iir
* tgt\_alpha2: iir
* prefer\_old: False
* long\_pair: iir-iir
* 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 #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### iir-iir


* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: iir-iir
* model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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: 3.5, chr-F: 0.202
testset: URL, BLEU: 12.4, chr-F: 0.014
testset: URL, BLEU: 6.2, chr-F: 0.238
testset: URL, BLEU: 27.0, chr-F: 0.560
testset: URL, BLEU: 21.4, chr-F: 0.507
testset: URL, BLEU: 13.4, chr-F: 0.463
testset: URL, BLEU: 17.7, chr-F: 0.460
testset: URL, BLEU: 13.4, chr-F: 0.363
testset: URL, BLEU: 5.3, chr-F: 0.000 ### System Info:


* hf\_name: iir-iir
* source\_languages: iir
* target\_languages: iir
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
* src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: iir
* tgt\_alpha3: iir
* short\_pair: iir-iir
* chrF2\_score: 0.46
* bleu: 17.7
* brevity\_penalty: 1.0
* ref\_len: 4992.0
* src\_name: Indo-Iranian languages
* tgt\_name: Indo-Iranian languages
* train\_date: 2020-07-27
* src\_alpha2: iir
* tgt\_alpha2: iir
* prefer\_old: False
* long\_pair: iir-iir
* 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 #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### iir-iir


* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: iir-iir
* model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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: 3.5, chr-F: 0.202
testset: URL, BLEU: 12.4, chr-F: 0.014
testset: URL, BLEU: 6.2, chr-F: 0.238
testset: URL, BLEU: 27.0, chr-F: 0.560
testset: URL, BLEU: 21.4, chr-F: 0.507
testset: URL, BLEU: 13.4, chr-F: 0.463
testset: URL, BLEU: 17.7, chr-F: 0.460
testset: URL, BLEU: 13.4, chr-F: 0.363
testset: URL, BLEU: 5.3, chr-F: 0.000