--- library_name: transformers language: - af - ang - bar - bi - bzj - de - djk - drt - en - enm - es - fr - frr - fy - gos - gsw - hrx - hwc - icr - jam - kri - ksh - lb - li - nds - nl - ofs - pcm - pdc - pfl - pih - pis - pt - rop - sco - srm - srn - stq - swg - tcs - tpi - vls - wae - yi - zea tags: - translation - opus-mt-tc-bible license: apache-2.0 model-index: - name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw results: - task: name: Translation deu-afr type: translation args: deu-afr dataset: name: flores200-devtest type: flores200-devtest args: deu-afr metrics: - name: BLEU type: bleu value: 26.2 - name: chr-F type: chrf value: 0.57725 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: flores200-devtest type: flores200-devtest args: deu-eng metrics: - name: BLEU type: bleu value: 41.5 - name: chr-F type: chrf value: 0.67043 - task: name: Translation deu-ltz type: translation args: deu-ltz dataset: name: flores200-devtest type: flores200-devtest args: deu-ltz metrics: - name: BLEU type: bleu value: 21.6 - name: chr-F type: chrf value: 0.54626 - task: name: Translation deu-nld type: translation args: deu-nld dataset: name: flores200-devtest type: flores200-devtest args: deu-nld metrics: - name: BLEU type: bleu value: 24.0 - name: chr-F type: chrf value: 0.55679 - task: name: Translation deu-tpi type: translation args: deu-tpi dataset: name: flores200-devtest type: flores200-devtest args: deu-tpi metrics: - name: BLEU type: bleu value: 13.5 - name: chr-F type: chrf value: 0.39146 - task: name: Translation eng-afr type: translation args: eng-afr dataset: name: flores200-devtest type: flores200-devtest args: eng-afr metrics: - name: BLEU type: bleu value: 40.2 - name: chr-F type: chrf value: 0.68115 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: flores200-devtest type: flores200-devtest args: eng-deu metrics: - name: BLEU type: bleu value: 37.4 - name: chr-F type: chrf value: 0.64561 - task: name: Translation eng-ltz type: translation args: eng-ltz dataset: name: flores200-devtest type: flores200-devtest args: eng-ltz metrics: - name: BLEU type: bleu value: 22.0 - name: chr-F type: chrf value: 0.54932 - task: name: Translation eng-nld type: translation args: eng-nld dataset: name: flores200-devtest type: flores200-devtest args: eng-nld metrics: - name: BLEU type: bleu value: 26.8 - name: chr-F type: chrf value: 0.58124 - task: name: Translation eng-tpi type: translation args: eng-tpi dataset: name: flores200-devtest type: flores200-devtest args: eng-tpi metrics: - name: BLEU type: bleu value: 15.9 - name: chr-F type: chrf value: 0.40338 - task: name: Translation fra-afr type: translation args: fra-afr dataset: name: flores200-devtest type: flores200-devtest args: fra-afr metrics: - name: BLEU type: bleu value: 26.4 - name: chr-F type: chrf value: 0.57320 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: flores200-devtest type: flores200-devtest args: fra-deu metrics: - name: BLEU type: bleu value: 29.5 - name: chr-F type: chrf value: 0.58974 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: flores200-devtest type: flores200-devtest args: fra-eng metrics: - name: BLEU type: bleu value: 43.7 - name: chr-F type: chrf value: 0.68106 - task: name: Translation fra-ltz type: translation args: fra-ltz dataset: name: flores200-devtest type: flores200-devtest args: fra-ltz metrics: - name: BLEU type: bleu value: 17.8 - name: chr-F type: chrf value: 0.49618 - task: name: Translation fra-nld type: translation args: fra-nld dataset: name: flores200-devtest type: flores200-devtest args: fra-nld metrics: - name: BLEU type: bleu value: 22.5 - name: chr-F type: chrf value: 0.54623 - task: name: Translation fra-tpi type: translation args: fra-tpi dataset: name: flores200-devtest type: flores200-devtest args: fra-tpi metrics: - name: BLEU type: bleu value: 13.7 - name: chr-F type: chrf value: 0.39334 - task: name: Translation por-afr type: translation args: por-afr dataset: name: flores200-devtest type: flores200-devtest args: por-afr metrics: - name: BLEU type: bleu value: 27.6 - name: chr-F type: chrf value: 0.58408 - task: name: Translation por-deu type: translation args: por-deu dataset: name: flores200-devtest type: flores200-devtest args: por-deu metrics: - name: BLEU type: bleu value: 30.4 - name: chr-F type: chrf value: 0.59121 - task: name: Translation por-eng type: translation args: por-eng dataset: name: flores200-devtest type: flores200-devtest args: por-eng metrics: - name: BLEU type: bleu value: 48.3 - name: chr-F type: chrf value: 0.71418 - task: name: Translation por-ltz type: translation args: por-ltz dataset: name: flores200-devtest type: flores200-devtest args: por-ltz metrics: - name: BLEU type: bleu value: 12.3 - name: chr-F type: chrf value: 0.39073 - task: name: Translation por-nld type: translation args: por-nld dataset: name: flores200-devtest type: flores200-devtest args: por-nld metrics: - name: BLEU type: bleu value: 22.9 - name: chr-F type: chrf value: 0.54828 - task: name: Translation por-tpi type: translation args: por-tpi dataset: name: flores200-devtest type: flores200-devtest args: por-tpi metrics: - name: BLEU type: bleu value: 13.7 - name: chr-F type: chrf value: 0.38929 - task: name: Translation spa-afr type: translation args: spa-afr dataset: name: flores200-devtest type: flores200-devtest args: spa-afr metrics: - name: BLEU type: bleu value: 17.8 - name: chr-F type: chrf value: 0.51514 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: flores200-devtest type: flores200-devtest args: spa-deu metrics: - name: BLEU type: bleu value: 21.4 - name: chr-F type: chrf value: 0.53603 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: flores200-devtest type: flores200-devtest args: spa-eng metrics: - name: BLEU type: bleu value: 28.2 - name: chr-F type: chrf value: 0.58604 - task: name: Translation spa-nld type: translation args: spa-nld dataset: name: flores200-devtest type: flores200-devtest args: spa-nld metrics: - name: BLEU type: bleu value: 17.9 - name: chr-F type: chrf value: 0.51244 - task: name: Translation spa-tpi type: translation args: spa-tpi dataset: name: flores200-devtest type: flores200-devtest args: spa-tpi metrics: - name: BLEU type: bleu value: 12.2 - name: chr-F type: chrf value: 0.37967 - task: name: Translation deu-afr type: translation args: deu-afr dataset: name: flores101-devtest type: flores_101 args: deu afr devtest metrics: - name: BLEU type: bleu value: 26.0 - name: chr-F type: chrf value: 0.57287 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: flores101-devtest type: flores_101 args: deu eng devtest metrics: - name: BLEU type: bleu value: 40.9 - name: chr-F type: chrf value: 0.66660 - task: name: Translation deu-nld type: translation args: deu-nld dataset: name: flores101-devtest type: flores_101 args: deu nld devtest metrics: - name: BLEU type: bleu value: 23.6 - name: chr-F type: chrf value: 0.55423 - task: name: Translation eng-afr type: translation args: eng-afr dataset: name: flores101-devtest type: flores_101 args: eng afr devtest metrics: - name: BLEU type: bleu value: 40.0 - name: chr-F type: chrf value: 0.67793 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: flores101-devtest type: flores_101 args: eng deu devtest metrics: - name: BLEU type: bleu value: 37.2 - name: chr-F type: chrf value: 0.64295 - task: name: Translation eng-nld type: translation args: eng-nld dataset: name: flores101-devtest type: flores_101 args: eng nld devtest metrics: - name: BLEU type: bleu value: 26.2 - name: chr-F type: chrf value: 0.57690 - task: name: Translation fra-ltz type: translation args: fra-ltz dataset: name: flores101-devtest type: flores_101 args: fra ltz devtest metrics: - name: BLEU type: bleu value: 17.3 - name: chr-F type: chrf value: 0.49430 - task: name: Translation fra-nld type: translation args: fra-nld dataset: name: flores101-devtest type: flores_101 args: fra nld devtest metrics: - name: BLEU type: bleu value: 22.2 - name: chr-F type: chrf value: 0.54318 - task: name: Translation por-deu type: translation args: por-deu dataset: name: flores101-devtest type: flores_101 args: por deu devtest metrics: - name: BLEU type: bleu value: 29.8 - name: chr-F type: chrf value: 0.58851 - task: name: Translation por-nld type: translation args: por-nld dataset: name: flores101-devtest type: flores_101 args: por nld devtest metrics: - name: BLEU type: bleu value: 22.6 - name: chr-F type: chrf value: 0.54571 - task: name: Translation spa-nld type: translation args: spa-nld dataset: name: flores101-devtest type: flores_101 args: spa nld devtest metrics: - name: BLEU type: bleu value: 17.5 - name: chr-F type: chrf value: 0.50968 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: generaltest2022 type: generaltest2022 args: deu-eng metrics: - name: BLEU type: bleu value: 30.6 - name: chr-F type: chrf value: 0.55777 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: generaltest2022 type: generaltest2022 args: eng-deu metrics: - name: BLEU type: bleu value: 33.0 - name: chr-F type: chrf value: 0.60792 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: generaltest2022 type: generaltest2022 args: fra-deu metrics: - name: BLEU type: bleu value: 44.5 - name: chr-F type: chrf value: 0.67039 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: multi30k_test_2016_flickr type: multi30k-2016_flickr args: deu-eng metrics: - name: BLEU type: bleu value: 40.1 - name: chr-F type: chrf value: 0.60981 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: multi30k_test_2016_flickr type: multi30k-2016_flickr args: eng-deu metrics: - name: BLEU type: bleu value: 34.9 - name: chr-F type: chrf value: 0.64153 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: multi30k_test_2016_flickr type: multi30k-2016_flickr args: fra-deu metrics: - name: BLEU type: bleu value: 32.1 - name: chr-F type: chrf value: 0.61781 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: multi30k_test_2016_flickr type: multi30k-2016_flickr args: fra-eng metrics: - name: BLEU type: bleu value: 47.9 - name: chr-F type: chrf value: 0.66703 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: multi30k_test_2017_flickr type: multi30k-2017_flickr args: deu-eng metrics: - name: BLEU type: bleu value: 41.0 - name: chr-F type: chrf value: 0.63624 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: multi30k_test_2017_flickr type: multi30k-2017_flickr args: eng-deu metrics: - name: BLEU type: bleu value: 34.6 - name: chr-F type: chrf value: 0.63423 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: multi30k_test_2017_flickr type: multi30k-2017_flickr args: fra-deu metrics: - name: BLEU type: bleu value: 29.7 - name: chr-F type: chrf value: 0.60084 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: multi30k_test_2017_flickr type: multi30k-2017_flickr args: fra-eng metrics: - name: BLEU type: bleu value: 50.4 - name: chr-F type: chrf value: 0.69254 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: multi30k_test_2017_mscoco type: multi30k-2017_mscoco args: deu-eng metrics: - name: BLEU type: bleu value: 32.5 - name: chr-F type: chrf value: 0.55790 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: multi30k_test_2017_mscoco type: multi30k-2017_mscoco args: eng-deu metrics: - name: BLEU type: bleu value: 28.6 - name: chr-F type: chrf value: 0.57491 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: multi30k_test_2017_mscoco type: multi30k-2017_mscoco args: fra-deu metrics: - name: BLEU type: bleu value: 26.4 - name: chr-F type: chrf value: 0.56108 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: multi30k_test_2017_mscoco type: multi30k-2017_mscoco args: fra-eng metrics: - name: BLEU type: bleu value: 49.1 - name: chr-F type: chrf value: 0.68212 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: multi30k_test_2018_flickr type: multi30k-2018_flickr args: deu-eng metrics: - name: BLEU type: bleu value: 36.6 - name: chr-F type: chrf value: 0.59322 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: multi30k_test_2018_flickr type: multi30k-2018_flickr args: eng-deu metrics: - name: BLEU type: bleu value: 30.0 - name: chr-F type: chrf value: 0.59858 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: multi30k_test_2018_flickr type: multi30k-2018_flickr args: fra-deu metrics: - name: BLEU type: bleu value: 24.7 - name: chr-F type: chrf value: 0.55667 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: multi30k_test_2018_flickr type: multi30k-2018_flickr args: fra-eng metrics: - name: BLEU type: bleu value: 43.4 - name: chr-F type: chrf value: 0.64702 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newsdiscusstest2015 type: newsdiscusstest2015 args: fra-eng metrics: - name: BLEU type: bleu value: 38.5 - name: chr-F type: chrf value: 0.61399 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstestALL2020 type: newstestALL2020 args: deu-eng metrics: - name: BLEU type: bleu value: 34.0 - name: chr-F type: chrf value: 0.60403 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstestALL2020 type: newstestALL2020 args: eng-deu metrics: - name: BLEU type: bleu value: 32.3 - name: chr-F type: chrf value: 0.60255 - task: name: Translation deu-afr type: translation args: deu-afr dataset: name: ntrex128 type: ntrex128 args: deu-afr metrics: - name: BLEU type: bleu value: 27.9 - name: chr-F type: chrf value: 0.57109 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: ntrex128 type: ntrex128 args: deu-eng metrics: - name: BLEU type: bleu value: 34.5 - name: chr-F type: chrf value: 0.62043 - task: name: Translation deu-ltz type: translation args: deu-ltz dataset: name: ntrex128 type: ntrex128 args: deu-ltz metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.47642 - task: name: Translation deu-nld type: translation args: deu-nld dataset: name: ntrex128 type: ntrex128 args: deu-nld metrics: - name: BLEU type: bleu value: 27.6 - name: chr-F type: chrf value: 0.56777 - task: name: Translation eng-afr type: translation args: eng-afr dataset: name: ntrex128 type: ntrex128 args: eng-afr metrics: - name: BLEU type: bleu value: 44.1 - name: chr-F type: chrf value: 0.68616 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: ntrex128 type: ntrex128 args: eng-deu metrics: - name: BLEU type: bleu value: 30.2 - name: chr-F type: chrf value: 0.58743 - task: name: Translation eng-ltz type: translation args: eng-ltz dataset: name: ntrex128 type: ntrex128 args: eng-ltz metrics: - name: BLEU type: bleu value: 18.0 - name: chr-F type: chrf value: 0.50083 - task: name: Translation eng-nld type: translation args: eng-nld dataset: name: ntrex128 type: ntrex128 args: eng-nld metrics: - name: BLEU type: bleu value: 33.8 - name: chr-F type: chrf value: 0.61041 - task: name: Translation fra-afr type: translation args: fra-afr dataset: name: ntrex128 type: ntrex128 args: fra-afr metrics: - name: BLEU type: bleu value: 26.5 - name: chr-F type: chrf value: 0.55607 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: ntrex128 type: ntrex128 args: fra-deu metrics: - name: BLEU type: bleu value: 23.6 - name: chr-F type: chrf value: 0.53269 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: ntrex128 type: ntrex128 args: fra-eng metrics: - name: BLEU type: bleu value: 34.4 - name: chr-F type: chrf value: 0.61058 - task: name: Translation fra-ltz type: translation args: fra-ltz dataset: name: ntrex128 type: ntrex128 args: fra-ltz metrics: - name: BLEU type: bleu value: 12.0 - name: chr-F type: chrf value: 0.41312 - task: name: Translation fra-nld type: translation args: fra-nld dataset: name: ntrex128 type: ntrex128 args: fra-nld metrics: - name: BLEU type: bleu value: 25.2 - name: chr-F type: chrf value: 0.54615 - task: name: Translation por-afr type: translation args: por-afr dataset: name: ntrex128 type: ntrex128 args: por-afr metrics: - name: BLEU type: bleu value: 29.2 - name: chr-F type: chrf value: 0.58296 - task: name: Translation por-deu type: translation args: por-deu dataset: name: ntrex128 type: ntrex128 args: por-deu metrics: - name: BLEU type: bleu value: 24.7 - name: chr-F type: chrf value: 0.54944 - task: name: Translation por-eng type: translation args: por-eng dataset: name: ntrex128 type: ntrex128 args: por-eng metrics: - name: BLEU type: bleu value: 39.6 - name: chr-F type: chrf value: 0.65002 - task: name: Translation por-nld type: translation args: por-nld dataset: name: ntrex128 type: ntrex128 args: por-nld metrics: - name: BLEU type: bleu value: 28.1 - name: chr-F type: chrf value: 0.56384 - task: name: Translation spa-afr type: translation args: spa-afr dataset: name: ntrex128 type: ntrex128 args: spa-afr metrics: - name: BLEU type: bleu value: 27.7 - name: chr-F type: chrf value: 0.57772 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: ntrex128 type: ntrex128 args: spa-deu metrics: - name: BLEU type: bleu value: 24.0 - name: chr-F type: chrf value: 0.54561 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: ntrex128 type: ntrex128 args: spa-eng metrics: - name: BLEU type: bleu value: 37.3 - name: chr-F type: chrf value: 0.64305 - task: name: Translation spa-nld type: translation args: spa-nld dataset: name: ntrex128 type: ntrex128 args: spa-nld metrics: - name: BLEU type: bleu value: 27.8 - name: chr-F type: chrf value: 0.56397 - task: name: Translation deu-afr type: translation args: deu-afr dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-afr metrics: - name: BLEU type: bleu value: 56.7 - name: chr-F type: chrf value: 0.72039 - task: name: Translation deu-deu type: translation args: deu-deu dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-deu metrics: - name: BLEU type: bleu value: 33.7 - name: chr-F type: chrf value: 0.59545 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-eng metrics: - name: BLEU type: bleu value: 48.6 - name: chr-F type: chrf value: 0.66015 - task: name: Translation deu-ltz type: translation args: deu-ltz dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-ltz metrics: - name: BLEU type: bleu value: 34.2 - name: chr-F type: chrf value: 0.53760 - task: name: Translation deu-nds type: translation args: deu-nds dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-nds metrics: - name: BLEU type: bleu value: 20.1 - name: chr-F type: chrf value: 0.44534 - task: name: Translation deu-nld type: translation args: deu-nld dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: deu-nld metrics: - name: BLEU type: bleu value: 54.4 - name: chr-F type: chrf value: 0.71276 - task: name: Translation eng-afr type: translation args: eng-afr dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-afr metrics: - name: BLEU type: bleu value: 56.6 - name: chr-F type: chrf value: 0.72087 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-deu metrics: - name: BLEU type: bleu value: 41.4 - name: chr-F type: chrf value: 0.62971 - task: name: Translation eng-eng type: translation args: eng-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-eng metrics: - name: BLEU type: bleu value: 58.0 - name: chr-F type: chrf value: 0.80306 - task: name: Translation eng-ltz type: translation args: eng-ltz dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-ltz metrics: - name: BLEU type: bleu value: 45.8 - name: chr-F type: chrf value: 0.64423 - task: name: Translation eng-nds type: translation args: eng-nds dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-nds metrics: - name: BLEU type: bleu value: 22.2 - name: chr-F type: chrf value: 0.46446 - task: name: Translation eng-nld type: translation args: eng-nld dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-nld metrics: - name: BLEU type: bleu value: 54.5 - name: chr-F type: chrf value: 0.71190 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: fra-deu metrics: - name: BLEU type: bleu value: 50.3 - name: chr-F type: chrf value: 0.68991 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: fra-eng metrics: - name: BLEU type: bleu value: 58.0 - name: chr-F type: chrf value: 0.72564 - task: name: Translation fra-nld type: translation args: fra-nld dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: fra-nld metrics: - name: BLEU type: bleu value: 48.7 - name: chr-F type: chrf value: 0.67078 - task: name: Translation multi-multi type: translation args: multi-multi dataset: name: tatoeba-test-v2020-07-28-v2023-09-26 type: tatoeba_mt args: multi-multi metrics: - name: BLEU type: bleu value: 48.7 - name: chr-F type: chrf value: 0.67078 - task: name: Translation por-deu type: translation args: por-deu dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: por-deu metrics: - name: BLEU type: bleu value: 48.7 - name: chr-F type: chrf value: 0.68437 - task: name: Translation por-eng type: translation args: por-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: por-eng metrics: - name: BLEU type: bleu value: 64.3 - name: chr-F type: chrf value: 0.77081 - task: name: Translation por-nds type: translation args: por-nds dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: por-nds metrics: - name: BLEU type: bleu value: 20.7 - name: chr-F type: chrf value: 0.45864 - task: name: Translation por-nld type: translation args: por-nld dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: por-nld metrics: - name: BLEU type: bleu value: 52.8 - name: chr-F type: chrf value: 0.69865 - task: name: Translation spa-afr type: translation args: spa-afr dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: spa-afr metrics: - name: BLEU type: bleu value: 63.3 - name: chr-F type: chrf value: 0.77148 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: spa-deu metrics: - name: BLEU type: bleu value: 49.1 - name: chr-F type: chrf value: 0.68037 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: spa-eng metrics: - name: BLEU type: bleu value: 60.2 - name: chr-F type: chrf value: 0.74575 - task: name: Translation spa-nld type: translation args: spa-nld dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: spa-nld metrics: - name: BLEU type: bleu value: 51.1 - name: chr-F type: chrf value: 0.68988 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: tico19-test type: tico19-test args: fra-eng metrics: - name: BLEU type: bleu value: 39.2 - name: chr-F type: chrf value: 0.62059 - task: name: Translation por-eng type: translation args: por-eng dataset: name: tico19-test type: tico19-test args: por-eng metrics: - name: BLEU type: bleu value: 50.3 - name: chr-F type: chrf value: 0.73896 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: tico19-test type: tico19-test args: spa-eng metrics: - name: BLEU type: bleu value: 49.6 - name: chr-F type: chrf value: 0.72923 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2008 type: wmt-2008-news args: deu-eng metrics: - name: BLEU type: bleu value: 26.9 - name: chr-F type: chrf value: 0.54506 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2008 type: wmt-2008-news args: eng-deu metrics: - name: BLEU type: bleu value: 23.1 - name: chr-F type: chrf value: 0.53077 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2008 type: wmt-2008-news args: fra-deu metrics: - name: BLEU type: bleu value: 22.9 - name: chr-F type: chrf value: 0.53204 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2008 type: wmt-2008-news args: fra-eng metrics: - name: BLEU type: bleu value: 26.4 - name: chr-F type: chrf value: 0.54320 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2008 type: wmt-2008-news args: spa-deu metrics: - name: BLEU type: bleu value: 21.6 - name: chr-F type: chrf value: 0.52066 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2008 type: wmt-2008-news args: spa-eng metrics: - name: BLEU type: bleu value: 27.9 - name: chr-F type: chrf value: 0.55305 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2009 type: wmt-2009-news args: deu-eng metrics: - name: BLEU type: bleu value: 26.2 - name: chr-F type: chrf value: 0.53773 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2009 type: wmt-2009-news args: eng-deu metrics: - name: BLEU type: bleu value: 22.3 - name: chr-F type: chrf value: 0.53217 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2009 type: wmt-2009-news args: fra-deu metrics: - name: BLEU type: bleu value: 22.9 - name: chr-F type: chrf value: 0.52995 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2009 type: wmt-2009-news args: fra-eng metrics: - name: BLEU type: bleu value: 30.0 - name: chr-F type: chrf value: 0.56663 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2009 type: wmt-2009-news args: spa-deu metrics: - name: BLEU type: bleu value: 22.1 - name: chr-F type: chrf value: 0.52586 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2009 type: wmt-2009-news args: spa-eng metrics: - name: BLEU type: bleu value: 29.9 - name: chr-F type: chrf value: 0.56756 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2010 type: wmt-2010-news args: deu-eng metrics: - name: BLEU type: bleu value: 30.4 - name: chr-F type: chrf value: 0.58365 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2010 type: wmt-2010-news args: eng-deu metrics: - name: BLEU type: bleu value: 25.7 - name: chr-F type: chrf value: 0.54917 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2010 type: wmt-2010-news args: fra-deu metrics: - name: BLEU type: bleu value: 24.3 - name: chr-F type: chrf value: 0.53904 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2010 type: wmt-2010-news args: fra-eng metrics: - name: BLEU type: bleu value: 32.4 - name: chr-F type: chrf value: 0.59241 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2010 type: wmt-2010-news args: spa-deu metrics: - name: BLEU type: bleu value: 26.2 - name: chr-F type: chrf value: 0.55378 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2010 type: wmt-2010-news args: spa-eng metrics: - name: BLEU type: bleu value: 35.8 - name: chr-F type: chrf value: 0.61316 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2011 type: wmt-2011-news args: deu-eng metrics: - name: BLEU type: bleu value: 26.1 - name: chr-F type: chrf value: 0.54907 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2011 type: wmt-2011-news args: eng-deu metrics: - name: BLEU type: bleu value: 23.0 - name: chr-F type: chrf value: 0.52873 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2011 type: wmt-2011-news args: fra-deu metrics: - name: BLEU type: bleu value: 23.0 - name: chr-F type: chrf value: 0.52977 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2011 type: wmt-2011-news args: fra-eng metrics: - name: BLEU type: bleu value: 32.8 - name: chr-F type: chrf value: 0.59565 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2011 type: wmt-2011-news args: spa-deu metrics: - name: BLEU type: bleu value: 23.4 - name: chr-F type: chrf value: 0.53095 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2011 type: wmt-2011-news args: spa-eng metrics: - name: BLEU type: bleu value: 33.3 - name: chr-F type: chrf value: 0.59513 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2012 type: wmt-2012-news args: deu-eng metrics: - name: BLEU type: bleu value: 28.1 - name: chr-F type: chrf value: 0.56230 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2012 type: wmt-2012-news args: eng-deu metrics: - name: BLEU type: bleu value: 23.7 - name: chr-F type: chrf value: 0.52871 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2012 type: wmt-2012-news args: fra-deu metrics: - name: BLEU type: bleu value: 24.1 - name: chr-F type: chrf value: 0.53035 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2012 type: wmt-2012-news args: fra-eng metrics: - name: BLEU type: bleu value: 33.0 - name: chr-F type: chrf value: 0.59137 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2012 type: wmt-2012-news args: spa-deu metrics: - name: BLEU type: bleu value: 24.3 - name: chr-F type: chrf value: 0.53438 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2012 type: wmt-2012-news args: spa-eng metrics: - name: BLEU type: bleu value: 37.0 - name: chr-F type: chrf value: 0.62058 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2013 type: wmt-2013-news args: deu-eng metrics: - name: BLEU type: bleu value: 31.5 - name: chr-F type: chrf value: 0.57940 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2013 type: wmt-2013-news args: eng-deu metrics: - name: BLEU type: bleu value: 27.5 - name: chr-F type: chrf value: 0.55718 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2013 type: wmt-2013-news args: fra-deu metrics: - name: BLEU type: bleu value: 25.6 - name: chr-F type: chrf value: 0.54408 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2013 type: wmt-2013-news args: fra-eng metrics: - name: BLEU type: bleu value: 33.9 - name: chr-F type: chrf value: 0.59151 - task: name: Translation spa-deu type: translation args: spa-deu dataset: name: newstest2013 type: wmt-2013-news args: spa-deu metrics: - name: BLEU type: bleu value: 26.2 - name: chr-F type: chrf value: 0.55215 - task: name: Translation spa-eng type: translation args: spa-eng dataset: name: newstest2013 type: wmt-2013-news args: spa-eng metrics: - name: BLEU type: bleu value: 34.4 - name: chr-F type: chrf value: 0.60465 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2014 type: wmt-2014-news args: deu-eng metrics: - name: BLEU type: bleu value: 33.1 - name: chr-F type: chrf value: 0.59723 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2014 type: wmt-2014-news args: eng-deu metrics: - name: BLEU type: bleu value: 28.5 - name: chr-F type: chrf value: 0.59127 - task: name: Translation fra-eng type: translation args: fra-eng dataset: name: newstest2014 type: wmt-2014-news args: fra-eng metrics: - name: BLEU type: bleu value: 38.0 - name: chr-F type: chrf value: 0.63411 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2015 type: wmt-2015-news args: deu-eng metrics: - name: BLEU type: bleu value: 33.7 - name: chr-F type: chrf value: 0.59799 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2015 type: wmt-2015-news args: eng-deu metrics: - name: BLEU type: bleu value: 32.0 - name: chr-F type: chrf value: 0.59977 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2016 type: wmt-2016-news args: deu-eng metrics: - name: BLEU type: bleu value: 40.4 - name: chr-F type: chrf value: 0.65039 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2016 type: wmt-2016-news args: eng-deu metrics: - name: BLEU type: bleu value: 37.9 - name: chr-F type: chrf value: 0.64144 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2017 type: wmt-2017-news args: deu-eng metrics: - name: BLEU type: bleu value: 35.3 - name: chr-F type: chrf value: 0.60921 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2017 type: wmt-2017-news args: eng-deu metrics: - name: BLEU type: bleu value: 30.4 - name: chr-F type: chrf value: 0.59114 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2018 type: wmt-2018-news args: deu-eng metrics: - name: BLEU type: bleu value: 42.6 - name: chr-F type: chrf value: 0.66680 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2018 type: wmt-2018-news args: eng-deu metrics: - name: BLEU type: bleu value: 45.8 - name: chr-F type: chrf value: 0.69428 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2019 type: wmt-2019-news args: deu-eng metrics: - name: BLEU type: bleu value: 39.1 - name: chr-F type: chrf value: 0.63482 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2019 type: wmt-2019-news args: eng-deu metrics: - name: BLEU type: bleu value: 42.0 - name: chr-F type: chrf value: 0.66430 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2019 type: wmt-2019-news args: fra-deu metrics: - name: BLEU type: bleu value: 29.4 - name: chr-F type: chrf value: 0.60993 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2020 type: wmt-2020-news args: deu-eng metrics: - name: BLEU type: bleu value: 34.0 - name: chr-F type: chrf value: 0.60403 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2020 type: wmt-2020-news args: eng-deu metrics: - name: BLEU type: bleu value: 32.3 - name: chr-F type: chrf value: 0.60255 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2020 type: wmt-2020-news args: fra-deu metrics: - name: BLEU type: bleu value: 29.2 - name: chr-F type: chrf value: 0.61470 - task: name: Translation deu-eng type: translation args: deu-eng dataset: name: newstest2021 type: wmt-2021-news args: deu-eng metrics: - name: BLEU type: bleu value: 31.9 - name: chr-F type: chrf value: 0.59738 - task: name: Translation eng-deu type: translation args: eng-deu dataset: name: newstest2021 type: wmt-2021-news args: eng-deu metrics: - name: BLEU type: bleu value: 26.1 - name: chr-F type: chrf value: 0.56399 - task: name: Translation fra-deu type: translation args: fra-deu dataset: name: newstest2021 type: wmt-2021-news args: fra-deu metrics: - name: BLEU type: bleu value: 40.0 - name: chr-F type: chrf value: 0.66155 --- # opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw ## Table of Contents - [Model Details](#model-details) - [Uses](#uses) - [Risks, Limitations and Biases](#risks-limitations-and-biases) - [How to Get Started With the Model](#how-to-get-started-with-the-model) - [Training](#training) - [Evaluation](#evaluation) - [Citation Information](#citation-information) - [Acknowledgements](#acknowledgements) ## Model Details Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to West Germanic languages (gmw). This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train). **Model Description:** - **Developed by:** Language Technology Research Group at the University of Helsinki - **Model Type:** Translation (transformer-big) - **Release**: 2024-05-30 - **License:** Apache-2.0 - **Language(s):** - Source Language(s): deu eng fra por spa - Target Language(s): afr ang bar bis bzj deu djk drt eng enm frr fry gos gsw hrx hwc icr jam kri ksh lim ltz nds nld ofs pcm pdc pfl pih pis rop sco srm srn stq swg tcs tpi vls wae yid zea - Valid Target Language Labels: >>act<< >>afr<< >>afs<< >>aig<< >>ang<< >>ang_Latn<< >>bah<< >>bar<< >>bis<< >>bjs<< >>brc<< >>bzj<< >>bzk<< >>cim<< >>dcr<< >>deu<< >>djk<< >>djk_Latn<< >>drt<< >>drt_Latn<< >>dum<< >>eng<< >>enm<< >>enm_Latn<< >>fpe<< >>frk<< >>frr<< >>fry<< >>gcl<< >>gct<< >>geh<< >>gmh<< >>gml<< >>goh<< >>gos<< >>gpe<< >>gsw<< >>gul<< >>gyn<< >>hrx<< >>hrx_Latn<< >>hwc<< >>icr<< >>jam<< >>jvd<< >>kri<< >>ksh<< >>kww<< >>lim<< >>lng<< >>ltz<< >>mhn<< >>nds<< >>nld<< >>odt<< >>ofs<< >>ofs_Latn<< >>oor<< >>osx<< >>pcm<< >>pdc<< >>pdt<< >>pey<< >>pfl<< >>pih<< >>pih_Latn<< >>pis<< >>rop<< >>sco<< >>sdz<< >>skw<< >>sli<< >>srm<< >>srn<< >>stl<< >>stq<< >>svc<< >>swg<< >>sxu<< >>tch<< >>tcs<< >>tgh<< >>tpi<< >>trf<< >>twd<< >>uln<< >>vel<< >>vic<< >>vls<< >>vmf<< >>wae<< >>wep<< >>wes<< >>wym<< >>xxx<< >>yec<< >>yid<< >>zea<< - **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmw/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) - **Resources for more information:** - [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-gmw/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian) - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/) - [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1) - [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/) This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>afr<<` ## Uses This model can be used for translation and text-to-text generation. ## Risks, Limitations and Biases **CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.** Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). ## How to Get Started With the Model A short example code: ```python from transformers import MarianMTModel, MarianTokenizer src_text = [ ">>afr<< Replace this with text in an accepted source language.", ">>zea<< This is the second sentence." ] model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw" tokenizer = MarianTokenizer.from_pretrained(model_name) model = MarianMTModel.from_pretrained(model_name) translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True)) for t in translated: print( tokenizer.decode(t, skip_special_tokens=True) ) ``` You can also use OPUS-MT models with the transformers pipelines, for example: ```python from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw") print(pipe(">>afr<< Replace this with text in an accepted source language.")) ``` ## Training - **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) - **Pre-processing**: SentencePiece (spm32k,spm32k) - **Model Type:** transformer-big - **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmw/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) - **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) ## Evaluation * [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-gmw/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) * test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmw/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt) * test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmw/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt) * benchmark results: [benchmark_results.txt](benchmark_results.txt) * benchmark output: [benchmark_translations.zip](benchmark_translations.zip) | langpair | testset | chr-F | BLEU | #sent | #words | |----------|---------|-------|-------|-------|--------| | deu-afr | tatoeba-test-v2021-08-07 | 0.72039 | 56.7 | 1583 | 9507 | | deu-deu | tatoeba-test-v2021-08-07 | 0.59545 | 33.7 | 2500 | 20806 | | deu-eng | tatoeba-test-v2021-08-07 | 0.66015 | 48.6 | 17565 | 149462 | | deu-ltz | tatoeba-test-v2021-08-07 | 0.53760 | 34.2 | 347 | 2206 | | deu-nds | tatoeba-test-v2021-08-07 | 0.44534 | 20.1 | 9999 | 76137 | | deu-nld | tatoeba-test-v2021-08-07 | 0.71276 | 54.4 | 10218 | 75235 | | eng-afr | tatoeba-test-v2021-08-07 | 0.72087 | 56.6 | 1374 | 10317 | | eng-deu | tatoeba-test-v2021-08-07 | 0.62971 | 41.4 | 17565 | 151568 | | eng-eng | tatoeba-test-v2021-08-07 | 0.80306 | 58.0 | 12062 | 115106 | | eng-fry | tatoeba-test-v2021-08-07 | 0.40324 | 13.8 | 220 | 1600 | | eng-ltz | tatoeba-test-v2021-08-07 | 0.64423 | 45.8 | 293 | 1828 | | eng-nds | tatoeba-test-v2021-08-07 | 0.46446 | 22.2 | 2500 | 18264 | | eng-nld | tatoeba-test-v2021-08-07 | 0.71190 | 54.5 | 12696 | 91796 | | fra-deu | tatoeba-test-v2021-08-07 | 0.68991 | 50.3 | 12418 | 100545 | | fra-eng | tatoeba-test-v2021-08-07 | 0.72564 | 58.0 | 12681 | 101754 | | fra-nld | tatoeba-test-v2021-08-07 | 0.67078 | 48.7 | 11548 | 82164 | | por-deu | tatoeba-test-v2021-08-07 | 0.68437 | 48.7 | 10000 | 81246 | | por-eng | tatoeba-test-v2021-08-07 | 0.77081 | 64.3 | 13222 | 105351 | | por-nds | tatoeba-test-v2021-08-07 | 0.45864 | 20.7 | 207 | 1292 | | por-nld | tatoeba-test-v2021-08-07 | 0.69865 | 52.8 | 2500 | 17816 | | spa-afr | tatoeba-test-v2021-08-07 | 0.77148 | 63.3 | 448 | 3044 | | spa-deu | tatoeba-test-v2021-08-07 | 0.68037 | 49.1 | 10521 | 86430 | | spa-eng | tatoeba-test-v2021-08-07 | 0.74575 | 60.2 | 16583 | 138123 | | spa-nds | tatoeba-test-v2021-08-07 | 0.43154 | 18.5 | 923 | 5941 | | spa-nld | tatoeba-test-v2021-08-07 | 0.68988 | 51.1 | 10113 | 79162 | | deu-afr | flores101-devtest | 0.57287 | 26.0 | 1012 | 25740 | | deu-eng | flores101-devtest | 0.66660 | 40.9 | 1012 | 24721 | | deu-nld | flores101-devtest | 0.55423 | 23.6 | 1012 | 25467 | | eng-afr | flores101-devtest | 0.67793 | 40.0 | 1012 | 25740 | | eng-deu | flores101-devtest | 0.64295 | 37.2 | 1012 | 25094 | | eng-nld | flores101-devtest | 0.57690 | 26.2 | 1012 | 25467 | | fra-ltz | flores101-devtest | 0.49430 | 17.3 | 1012 | 25087 | | fra-nld | flores101-devtest | 0.54318 | 22.2 | 1012 | 25467 | | por-deu | flores101-devtest | 0.58851 | 29.8 | 1012 | 25094 | | por-nld | flores101-devtest | 0.54571 | 22.6 | 1012 | 25467 | | spa-nld | flores101-devtest | 0.50968 | 17.5 | 1012 | 25467 | | deu-afr | flores200-devtest | 0.57725 | 26.2 | 1012 | 25740 | | deu-eng | flores200-devtest | 0.67043 | 41.5 | 1012 | 24721 | | deu-ltz | flores200-devtest | 0.54626 | 21.6 | 1012 | 25087 | | deu-nld | flores200-devtest | 0.55679 | 24.0 | 1012 | 25467 | | eng-afr | flores200-devtest | 0.68115 | 40.2 | 1012 | 25740 | | eng-deu | flores200-devtest | 0.64561 | 37.4 | 1012 | 25094 | | eng-ltz | flores200-devtest | 0.54932 | 22.0 | 1012 | 25087 | | eng-nld | flores200-devtest | 0.58124 | 26.8 | 1012 | 25467 | | eng-tpi | flores200-devtest | 0.40338 | 15.9 | 1012 | 35240 | | fra-afr | flores200-devtest | 0.57320 | 26.4 | 1012 | 25740 | | fra-deu | flores200-devtest | 0.58974 | 29.5 | 1012 | 25094 | | fra-eng | flores200-devtest | 0.68106 | 43.7 | 1012 | 24721 | | fra-ltz | flores200-devtest | 0.49618 | 17.8 | 1012 | 25087 | | fra-nld | flores200-devtest | 0.54623 | 22.5 | 1012 | 25467 | | por-afr | flores200-devtest | 0.58408 | 27.6 | 1012 | 25740 | | por-deu | flores200-devtest | 0.59121 | 30.4 | 1012 | 25094 | | por-eng | flores200-devtest | 0.71418 | 48.3 | 1012 | 24721 | | por-nld | flores200-devtest | 0.54828 | 22.9 | 1012 | 25467 | | spa-afr | flores200-devtest | 0.51514 | 17.8 | 1012 | 25740 | | spa-deu | flores200-devtest | 0.53603 | 21.4 | 1012 | 25094 | | spa-eng | flores200-devtest | 0.58604 | 28.2 | 1012 | 24721 | | spa-nld | flores200-devtest | 0.51244 | 17.9 | 1012 | 25467 | | deu-eng | generaltest2022 | 0.55777 | 30.6 | 1984 | 37634 | | eng-deu | generaltest2022 | 0.60792 | 33.0 | 2037 | 38914 | | fra-deu | generaltest2022 | 0.67039 | 44.5 | 2006 | 37696 | | deu-eng | multi30k_test_2016_flickr | 0.60981 | 40.1 | 1000 | 12955 | | eng-deu | multi30k_test_2016_flickr | 0.64153 | 34.9 | 1000 | 12106 | | fra-deu | multi30k_test_2016_flickr | 0.61781 | 32.1 | 1000 | 12106 | | fra-eng | multi30k_test_2016_flickr | 0.66703 | 47.9 | 1000 | 12955 | | deu-eng | multi30k_test_2017_flickr | 0.63624 | 41.0 | 1000 | 11374 | | eng-deu | multi30k_test_2017_flickr | 0.63423 | 34.6 | 1000 | 10755 | | fra-deu | multi30k_test_2017_flickr | 0.60084 | 29.7 | 1000 | 10755 | | fra-eng | multi30k_test_2017_flickr | 0.69254 | 50.4 | 1000 | 11374 | | deu-eng | multi30k_test_2017_mscoco | 0.55790 | 32.5 | 461 | 5231 | | eng-deu | multi30k_test_2017_mscoco | 0.57491 | 28.6 | 461 | 5158 | | fra-deu | multi30k_test_2017_mscoco | 0.56108 | 26.4 | 461 | 5158 | | fra-eng | multi30k_test_2017_mscoco | 0.68212 | 49.1 | 461 | 5231 | | deu-eng | multi30k_test_2018_flickr | 0.59322 | 36.6 | 1071 | 14689 | | eng-deu | multi30k_test_2018_flickr | 0.59858 | 30.0 | 1071 | 13703 | | fra-deu | multi30k_test_2018_flickr | 0.55667 | 24.7 | 1071 | 13703 | | fra-eng | multi30k_test_2018_flickr | 0.64702 | 43.4 | 1071 | 14689 | | fra-eng | newsdiscusstest2015 | 0.61399 | 38.5 | 1500 | 26982 | | deu-eng | newssyscomb2009 | 0.55180 | 28.8 | 502 | 11818 | | eng-deu | newssyscomb2009 | 0.53676 | 22.9 | 502 | 11271 | | fra-deu | newssyscomb2009 | 0.53733 | 23.9 | 502 | 11271 | | fra-eng | newssyscomb2009 | 0.57219 | 31.1 | 502 | 11818 | | spa-deu | newssyscomb2009 | 0.53056 | 22.0 | 502 | 11271 | | spa-eng | newssyscomb2009 | 0.57225 | 30.8 | 502 | 11818 | | deu-eng | newstest2008 | 0.54506 | 26.9 | 2051 | 49380 | | eng-deu | newstest2008 | 0.53077 | 23.1 | 2051 | 47447 | | fra-deu | newstest2008 | 0.53204 | 22.9 | 2051 | 47447 | | fra-eng | newstest2008 | 0.54320 | 26.4 | 2051 | 49380 | | spa-deu | newstest2008 | 0.52066 | 21.6 | 2051 | 47447 | | spa-eng | newstest2008 | 0.55305 | 27.9 | 2051 | 49380 | | deu-eng | newstest2009 | 0.53773 | 26.2 | 2525 | 65399 | | eng-deu | newstest2009 | 0.53217 | 22.3 | 2525 | 62816 | | fra-deu | newstest2009 | 0.52995 | 22.9 | 2525 | 62816 | | fra-eng | newstest2009 | 0.56663 | 30.0 | 2525 | 65399 | | spa-deu | newstest2009 | 0.52586 | 22.1 | 2525 | 62816 | | spa-eng | newstest2009 | 0.56756 | 29.9 | 2525 | 65399 | | deu-eng | newstest2010 | 0.58365 | 30.4 | 2489 | 61711 | | eng-deu | newstest2010 | 0.54917 | 25.7 | 2489 | 61503 | | fra-deu | newstest2010 | 0.53904 | 24.3 | 2489 | 61503 | | fra-eng | newstest2010 | 0.59241 | 32.4 | 2489 | 61711 | | spa-deu | newstest2010 | 0.55378 | 26.2 | 2489 | 61503 | | spa-eng | newstest2010 | 0.61316 | 35.8 | 2489 | 61711 | | deu-eng | newstest2011 | 0.54907 | 26.1 | 3003 | 74681 | | eng-deu | newstest2011 | 0.52873 | 23.0 | 3003 | 72981 | | fra-deu | newstest2011 | 0.52977 | 23.0 | 3003 | 72981 | | fra-eng | newstest2011 | 0.59565 | 32.8 | 3003 | 74681 | | spa-deu | newstest2011 | 0.53095 | 23.4 | 3003 | 72981 | | spa-eng | newstest2011 | 0.59513 | 33.3 | 3003 | 74681 | | deu-eng | newstest2012 | 0.56230 | 28.1 | 3003 | 72812 | | eng-deu | newstest2012 | 0.52871 | 23.7 | 3003 | 72886 | | fra-deu | newstest2012 | 0.53035 | 24.1 | 3003 | 72886 | | fra-eng | newstest2012 | 0.59137 | 33.0 | 3003 | 72812 | | spa-deu | newstest2012 | 0.53438 | 24.3 | 3003 | 72886 | | spa-eng | newstest2012 | 0.62058 | 37.0 | 3003 | 72812 | | deu-eng | newstest2013 | 0.57940 | 31.5 | 3000 | 64505 | | eng-deu | newstest2013 | 0.55718 | 27.5 | 3000 | 63737 | | fra-deu | newstest2013 | 0.54408 | 25.6 | 3000 | 63737 | | fra-eng | newstest2013 | 0.59151 | 33.9 | 3000 | 64505 | | spa-deu | newstest2013 | 0.55215 | 26.2 | 3000 | 63737 | | spa-eng | newstest2013 | 0.60465 | 34.4 | 3000 | 64505 | | deu-eng | newstest2014 | 0.59723 | 33.1 | 3003 | 67337 | | eng-deu | newstest2014 | 0.59127 | 28.5 | 3003 | 62688 | | fra-eng | newstest2014 | 0.63411 | 38.0 | 3003 | 70708 | | deu-eng | newstest2015 | 0.59799 | 33.7 | 2169 | 46443 | | eng-deu | newstest2015 | 0.59977 | 32.0 | 2169 | 44260 | | deu-eng | newstest2016 | 0.65039 | 40.4 | 2999 | 64119 | | eng-deu | newstest2016 | 0.64144 | 37.9 | 2999 | 62669 | | deu-eng | newstest2017 | 0.60921 | 35.3 | 3004 | 64399 | | eng-deu | newstest2017 | 0.59114 | 30.4 | 3004 | 61287 | | deu-eng | newstest2018 | 0.66680 | 42.6 | 2998 | 67012 | | eng-deu | newstest2018 | 0.69428 | 45.8 | 2998 | 64276 | | deu-eng | newstest2019 | 0.63482 | 39.1 | 2000 | 39227 | | eng-deu | newstest2019 | 0.66430 | 42.0 | 1997 | 48746 | | fra-deu | newstest2019 | 0.60993 | 29.4 | 1701 | 36446 | | deu-eng | newstest2020 | 0.60403 | 34.0 | 785 | 38220 | | eng-deu | newstest2020 | 0.60255 | 32.3 | 1418 | 52383 | | fra-deu | newstest2020 | 0.61470 | 29.2 | 1619 | 30265 | | deu-eng | newstest2021 | 0.59738 | 31.9 | 1000 | 20180 | | eng-deu | newstest2021 | 0.56399 | 26.1 | 1002 | 27970 | | fra-deu | newstest2021 | 0.66155 | 40.0 | 1026 | 26077 | | deu-eng | newstestALL2020 | 0.60403 | 34.0 | 785 | 38220 | | eng-deu | newstestALL2020 | 0.60255 | 32.3 | 1418 | 52383 | | deu-eng | newstestB2020 | 0.60520 | 34.2 | 785 | 37696 | | eng-deu | newstestB2020 | 0.59226 | 31.6 | 1418 | 53092 | | deu-afr | ntrex128 | 0.57109 | 27.9 | 1997 | 50050 | | deu-eng | ntrex128 | 0.62043 | 34.5 | 1997 | 47673 | | deu-ltz | ntrex128 | 0.47642 | 15.4 | 1997 | 49763 | | deu-nld | ntrex128 | 0.56777 | 27.6 | 1997 | 51884 | | eng-afr | ntrex128 | 0.68616 | 44.1 | 1997 | 50050 | | eng-deu | ntrex128 | 0.58743 | 30.2 | 1997 | 48761 | | eng-ltz | ntrex128 | 0.50083 | 18.0 | 1997 | 49763 | | eng-nld | ntrex128 | 0.61041 | 33.8 | 1997 | 51884 | | fra-afr | ntrex128 | 0.55607 | 26.5 | 1997 | 50050 | | fra-deu | ntrex128 | 0.53269 | 23.6 | 1997 | 48761 | | fra-eng | ntrex128 | 0.61058 | 34.4 | 1997 | 47673 | | fra-ltz | ntrex128 | 0.41312 | 12.0 | 1997 | 49763 | | fra-nld | ntrex128 | 0.54615 | 25.2 | 1997 | 51884 | | por-afr | ntrex128 | 0.58296 | 29.2 | 1997 | 50050 | | por-deu | ntrex128 | 0.54944 | 24.7 | 1997 | 48761 | | por-eng | ntrex128 | 0.65002 | 39.6 | 1997 | 47673 | | por-nld | ntrex128 | 0.56384 | 28.1 | 1997 | 51884 | | spa-afr | ntrex128 | 0.57772 | 27.7 | 1997 | 50050 | | spa-deu | ntrex128 | 0.54561 | 24.0 | 1997 | 48761 | | spa-eng | ntrex128 | 0.64305 | 37.3 | 1997 | 47673 | | spa-nld | ntrex128 | 0.56397 | 27.8 | 1997 | 51884 | | fra-eng | tico19-test | 0.62059 | 39.2 | 2100 | 56323 | | por-eng | tico19-test | 0.73896 | 50.3 | 2100 | 56315 | | spa-eng | tico19-test | 0.72923 | 49.6 | 2100 | 56315 | ## Citation Information * Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) ```bibtex @article{tiedemann2023democratizing, title={Democratizing neural machine translation with {OPUS-MT}}, author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami}, journal={Language Resources and Evaluation}, number={58}, pages={713--755}, year={2023}, publisher={Springer Nature}, issn={1574-0218}, doi={10.1007/s10579-023-09704-w} } @inproceedings{tiedemann-thottingal-2020-opus, title = "{OPUS}-{MT} {--} Building open translation services for the World", author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", month = nov, year = "2020", address = "Lisboa, Portugal", publisher = "European Association for Machine Translation", url = "https://aclanthology.org/2020.eamt-1.61", pages = "479--480", } @inproceedings{tiedemann-2020-tatoeba, title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", author = {Tiedemann, J{\"o}rg}, booktitle = "Proceedings of the Fifth Conference on Machine Translation", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2020.wmt-1.139", pages = "1174--1182", } ``` ## Acknowledgements The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/). ## Model conversion info * transformers version: 4.45.1 * OPUS-MT git hash: 0882077 * port time: Tue Oct 8 10:01:07 EEST 2024 * port machine: LM0-400-22516.local