Edit model card

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: opus-2020-07-27.zip

  • test set translations: opus-2020-07-27.test.txt

  • test set scores: 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

Downloads last month
30
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Spaces using Helsinki-NLP/opus-mt-iir-iir 7