--- library_name: transformers language: - bas - bem - bnt - bss - cce - cjk - cwe - de - dig - dug - en - es - fr - gog - gwr - hay - heh - hz - jmc - kam - kdc - kdn - kg - ki - kj - kki - kkj - kmb - ksb - lem - lg - ln - lon - lsm - lua - luy - mcp - myx - nd - ng - nim - nnb - nr - nso - nuj - ny - nyf - nyn - nyo - nyy - old - ozm - pkb - pt - rim - rn - rw - seh - sn - ss - st - suk - sw - sxb - thk - tlj - tn - toh - toi - ts - tum - umb - ve - vmw - vun - wmw - xh - xog - zu tags: - translation - opus-mt-tc-bible license: apache-2.0 model-index: - name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt results: - task: name: Translation deu-tsn type: translation args: deu-tsn dataset: name: flores200-devtest type: flores200-devtest args: deu-tsn metrics: - name: BLEU type: bleu value: 11.9 - name: chr-F type: chrf value: 0.39738 - task: name: Translation eng-kin type: translation args: eng-kin dataset: name: flores200-devtest type: flores200-devtest args: eng-kin metrics: - name: BLEU type: bleu value: 11.1 - name: chr-F type: chrf value: 0.41492 - task: name: Translation eng-lin type: translation args: eng-lin dataset: name: flores200-devtest type: flores200-devtest args: eng-lin metrics: - name: BLEU type: bleu value: 14.7 - name: chr-F type: chrf value: 0.45568 - task: name: Translation eng-nso type: translation args: eng-nso dataset: name: flores200-devtest type: flores200-devtest args: eng-nso metrics: - name: BLEU type: bleu value: 20.8 - name: chr-F type: chrf value: 0.48626 - task: name: Translation eng-nya type: translation args: eng-nya dataset: name: flores200-devtest type: flores200-devtest args: eng-nya metrics: - name: BLEU type: bleu value: 10.7 - name: chr-F type: chrf value: 0.45067 - task: name: Translation eng-sna type: translation args: eng-sna dataset: name: flores200-devtest type: flores200-devtest args: eng-sna metrics: - name: BLEU type: bleu value: 10.1 - name: chr-F type: chrf value: 0.45629 - task: name: Translation eng-sot type: translation args: eng-sot dataset: name: flores200-devtest type: flores200-devtest args: eng-sot metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.45331 - task: name: Translation eng-tsn type: translation args: eng-tsn dataset: name: flores200-devtest type: flores200-devtest args: eng-tsn metrics: - name: BLEU type: bleu value: 17.7 - name: chr-F type: chrf value: 0.45233 - task: name: Translation eng-tso type: translation args: eng-tso dataset: name: flores200-devtest type: flores200-devtest args: eng-tso metrics: - name: BLEU type: bleu value: 18.3 - name: chr-F type: chrf value: 0.48529 - task: name: Translation eng-xho type: translation args: eng-xho dataset: name: flores200-devtest type: flores200-devtest args: eng-xho metrics: - name: BLEU type: bleu value: 13.1 - name: chr-F type: chrf value: 0.51974 - task: name: Translation eng-zul type: translation args: eng-zul dataset: name: flores200-devtest type: flores200-devtest args: eng-zul metrics: - name: BLEU type: bleu value: 14.0 - name: chr-F type: chrf value: 0.53320 - task: name: Translation fra-lin type: translation args: fra-lin dataset: name: flores200-devtest type: flores200-devtest args: fra-lin metrics: - name: BLEU type: bleu value: 13.0 - name: chr-F type: chrf value: 0.44410 - task: name: Translation fra-tsn type: translation args: fra-tsn dataset: name: flores200-devtest type: flores200-devtest args: fra-tsn metrics: - name: BLEU type: bleu value: 12.0 - name: chr-F type: chrf value: 0.39823 - task: name: Translation por-lin type: translation args: por-lin dataset: name: flores200-devtest type: flores200-devtest args: por-lin metrics: - name: BLEU type: bleu value: 11.7 - name: chr-F type: chrf value: 0.42944 - task: name: Translation por-tsn type: translation args: por-tsn dataset: name: flores200-devtest type: flores200-devtest args: por-tsn metrics: - name: BLEU type: bleu value: 10.5 - name: chr-F type: chrf value: 0.37629 - task: name: Translation eng-lin type: translation args: eng-lin dataset: name: flores101-devtest type: flores_101 args: eng lin devtest metrics: - name: BLEU type: bleu value: 13.2 - name: chr-F type: chrf value: 0.43748 - task: name: Translation eng-nso type: translation args: eng-nso dataset: name: flores101-devtest type: flores_101 args: eng nso devtest metrics: - name: BLEU type: bleu value: 19.4 - name: chr-F type: chrf value: 0.47122 - task: name: Translation eng-xho type: translation args: eng-xho dataset: name: flores101-devtest type: flores_101 args: eng xho devtest metrics: - name: BLEU type: bleu value: 11.6 - name: chr-F type: chrf value: 0.50110 - task: name: Translation por-lin type: translation args: por-lin dataset: name: flores101-devtest type: flores_101 args: por lin devtest metrics: - name: BLEU type: bleu value: 10.7 - name: chr-F type: chrf value: 0.41675 - task: name: Translation deu-swa type: translation args: deu-swa dataset: name: ntrex128 type: ntrex128 args: deu-swa metrics: - name: BLEU type: bleu value: 18.0 - name: chr-F type: chrf value: 0.48979 - task: name: Translation deu-tsn type: translation args: deu-tsn dataset: name: ntrex128 type: ntrex128 args: deu-tsn metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.41894 - task: name: Translation eng-kin type: translation args: eng-kin dataset: name: ntrex128 type: ntrex128 args: eng-kin metrics: - name: BLEU type: bleu value: 10.5 - name: chr-F type: chrf value: 0.39546 - task: name: Translation eng-nya type: translation args: eng-nya dataset: name: ntrex128 type: ntrex128 args: eng-nya metrics: - name: BLEU type: bleu value: 14.9 - name: chr-F type: chrf value: 0.46801 - task: name: Translation eng-swa type: translation args: eng-swa dataset: name: ntrex128 type: ntrex128 args: eng-swa metrics: - name: BLEU type: bleu value: 33.4 - name: chr-F type: chrf value: 0.60117 - task: name: Translation eng-tsn type: translation args: eng-tsn dataset: name: ntrex128 type: ntrex128 args: eng-tsn metrics: - name: BLEU type: bleu value: 22.2 - name: chr-F type: chrf value: 0.46599 - task: name: Translation eng-xho type: translation args: eng-xho dataset: name: ntrex128 type: ntrex128 args: eng-xho metrics: - name: BLEU type: bleu value: 11.2 - name: chr-F type: chrf value: 0.48847 - task: name: Translation eng-zul type: translation args: eng-zul dataset: name: ntrex128 type: ntrex128 args: eng-zul metrics: - name: BLEU type: bleu value: 10.7 - name: chr-F type: chrf value: 0.49764 - task: name: Translation fra-swa type: translation args: fra-swa dataset: name: ntrex128 type: ntrex128 args: fra-swa metrics: - name: BLEU type: bleu value: 17.5 - name: chr-F type: chrf value: 0.45494 - task: name: Translation fra-tsn type: translation args: fra-tsn dataset: name: ntrex128 type: ntrex128 args: fra-tsn metrics: - name: BLEU type: bleu value: 15.3 - name: chr-F type: chrf value: 0.41426 - task: name: Translation por-swa type: translation args: por-swa dataset: name: ntrex128 type: ntrex128 args: por-swa metrics: - name: BLEU type: bleu value: 18.0 - name: chr-F type: chrf value: 0.46465 - task: name: Translation por-tsn type: translation args: por-tsn dataset: name: ntrex128 type: ntrex128 args: por-tsn metrics: - name: BLEU type: bleu value: 14.5 - name: chr-F type: chrf value: 0.40236 - task: name: Translation spa-swa type: translation args: spa-swa dataset: name: ntrex128 type: ntrex128 args: spa-swa metrics: - name: BLEU type: bleu value: 18.1 - name: chr-F type: chrf value: 0.46670 - task: name: Translation spa-tsn type: translation args: spa-tsn dataset: name: ntrex128 type: ntrex128 args: spa-tsn metrics: - name: BLEU type: bleu value: 14.2 - name: chr-F type: chrf value: 0.40263 - task: name: Translation eng-swa type: translation args: eng-swa dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: eng-swa metrics: - name: BLEU type: bleu value: 32.7 - name: chr-F type: chrf value: 0.60298 - task: name: Translation eng-kin type: translation args: eng-kin dataset: name: tico19-test type: tico19-test args: eng-kin metrics: - name: BLEU type: bleu value: 11.3 - name: chr-F type: chrf value: 0.40952 - task: name: Translation eng-lin type: translation args: eng-lin dataset: name: tico19-test type: tico19-test args: eng-lin metrics: - name: BLEU type: bleu value: 15.5 - name: chr-F type: chrf value: 0.44670 - task: name: Translation eng-lug type: translation args: eng-lug dataset: name: tico19-test type: tico19-test args: eng-lug metrics: - name: BLEU type: bleu value: 10.9 - name: chr-F type: chrf value: 0.38546 - task: name: Translation eng-swa type: translation args: eng-swa dataset: name: tico19-test type: tico19-test args: eng-swa metrics: - name: BLEU type: bleu value: 28.0 - name: chr-F type: chrf value: 0.56798 - task: name: Translation eng-zul type: translation args: eng-zul dataset: name: tico19-test type: tico19-test args: eng-zul metrics: - name: BLEU type: bleu value: 14.4 - name: chr-F type: chrf value: 0.53624 - task: name: Translation fra-lin type: translation args: fra-lin dataset: name: tico19-test type: tico19-test args: fra-lin metrics: - name: BLEU type: bleu value: 12.0 - name: chr-F type: chrf value: 0.39748 - task: name: Translation fra-swa type: translation args: fra-swa dataset: name: tico19-test type: tico19-test args: fra-swa metrics: - name: BLEU type: bleu value: 16.8 - name: chr-F type: chrf value: 0.44926 - task: name: Translation por-lin type: translation args: por-lin dataset: name: tico19-test type: tico19-test args: por-lin metrics: - name: BLEU type: bleu value: 12.5 - name: chr-F type: chrf value: 0.41729 - task: name: Translation por-swa type: translation args: por-swa dataset: name: tico19-test type: tico19-test args: por-swa metrics: - name: BLEU type: bleu value: 19.6 - name: chr-F type: chrf value: 0.49303 - task: name: Translation spa-lin type: translation args: spa-lin dataset: name: tico19-test type: tico19-test args: spa-lin metrics: - name: BLEU type: bleu value: 12.1 - name: chr-F type: chrf value: 0.41645 - task: name: Translation spa-swa type: translation args: spa-swa dataset: name: tico19-test type: tico19-test args: spa-swa metrics: - name: BLEU type: bleu value: 18.8 - name: chr-F type: chrf value: 0.48614 --- # opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt ## 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 Bantu languages (bnt). 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): bas bem bnt bss cce cjk cwe dig dug gog gwr hay heh her jmc kam kdc kdn kik kin kki kkj kmb kng kon ksb kua ldi lem lin lon lsm lua lug luy mcp myx nbl nde ndo nim nnb nso nuj nya nyf nyn nyo nyy old ozm pkb rim run seh sna sot ssw suk swa swc swh sxb thk tlj toh toi tsn tso tum umb ven vmw vun wmw xho xog zul - Valid Target Language Labels: >>abb<< >>agh<< >>akw<< >>asa<< >>auh<< >>axk<< >>baf<< >>bag<< >>bas<< >>bbg<< >>bbi<< >>bbm<< >>bcp<< >>bdp<< >>bdu<< >>beb<< >>bem<< >>beq<< >>bez<< >>bhy<< >>bip<< >>biw<< >>biz<< >>bja<< >>bkf<< >>bkh<< >>bkj<< >>bkp<< >>bkt<< >>bkw<< >>bli<< >>blv<< >>bmb<< >>bmg<< >>bml<< >>bmw<< >>bng<< >>bni<< >>bnm<< >>bnt_Latn<< >>bnx<< >>boh<< >>bok<< >>bou<< >>boy<< >>bpj<< >>bqm<< >>bqu<< >>bqz<< >>brf<< >>bri<< >>brl<< >>bsi<< >>bss<< >>btb<< >>btc<< >>buf<< >>bui<< >>bum<< >>buu<< >>buw<< >>bvb<< >>bvg<< >>bvx<< >>bwc<< >>bwg<< >>bwl<< >>bws<< >>bwt<< >>bww<< >>bwz<< >>bxc<< >>bxg<< >>bxp<< >>byi<< >>bzm<< >>bzo<< >>cce<< >>ccl<< >>cgg<< >>chw<< >>cjk<< >>cjk_Latn<< >>coh<< >>cuh<< >>cwa<< >>cwb<< >>cwe<< >>dav<< >>dde<< >>dez<< >>dhm<< >>dhs<< >>dig<< >>dii<< >>diu<< >>diz<< >>dma<< >>dmx<< >>dne<< >>doe<< >>dov<< >>dua<< >>dug<< >>dzn<< >>ebo<< >>ebu<< >>ekm<< >>eko<< >>eto<< >>ewo<< >>fan<< >>fip<< >>flr<< >>fwe<< >>gev<< >>gey<< >>gmx<< >>gog<< >>guz<< >>gwe<< >>gwr<< >>gyi<< >>han<< >>haq<< >>hav<< >>hay<< >>hba<< >>heh<< >>hem<< >>her<< >>hij<< >>hka<< >>hke<< >>hol<< >>hom<< >>hoo<< >>hum<< >>ifm<< >>ikz<< >>ilb<< >>isn<< >>iyx<< >>jgb<< >>jit<< >>jmc<< >>job<< >>kam<< >>kbj<< >>kbs<< >>kck<< >>kcu<< >>kcv<< >>kcw<< >>kcz<< >>kdc<< >>kde<< >>kdg<< >>kdn<< >>keb<< >>ked<< >>khu<< >>khx<< >>khy<< >>kik<< >>kin<< >>kiv<< >>kiz<< >>kki<< >>kkj<< >>kkq<< >>kkw<< >>kmb<< >>kme<< >>kmw<< >>kng<< >>kny<< >>koh<< >>kon<< >>koo<< >>koq<< >>kqn<< >>ksb<< >>ksf<< >>ksv<< >>ktf<< >>ktu<< >>kty<< >>kua<< >>kuj<< >>kwc<< >>kwm<< >>kwn<< >>kws<< >>kwu<< >>kxx<< >>kya<< >>kzn<< >>kzo<< >>kzy<< >>lag<< >>lai<< >>lam<< >>lch<< >>ldi<< >>lea<< >>leb<< >>leh<< >>lej<< >>lel<< >>lem<< >>leo<< >>lfa<< >>lgm<< >>lgz<< >>lie<< >>lik<< >>lin<< >>liz<< >>lke<< >>llb<< >>lli<< >>lnb<< >>lol<< >>lon<< >>loo<< >>loq<< >>loz<< >>lse<< >>lsm<< >>lua<< >>lub<< >>lue<< >>lug<< >>luj<< >>lum<< >>lun<< >>lup<< >>luy<< >>lwa<< >>lyn<< >>mbm<< >>mbo<< >>mck<< >>mcp<< >>mcx<< >>mdn<< >>mdp<< >>mdq<< >>mdt<< >>mdu<< >>mdw<< >>mer<< >>mfu<< >>mgg<< >>mgh<< >>mgq<< >>mgr<< >>mgs<< >>mgv<< >>mgw<< >>mgy<< >>mgz<< >>mhb<< >>mhm<< >>mho<< >>mhw<< >>mjh<< >>mkk<< >>mkw<< >>mlb<< >>mlk<< >>mmu<< >>mmz<< >>mny<< >>mow<< >>mpa<< >>mvw<< >>mwe<< >>mwn<< >>mws<< >>mwz<< >>mxc<< >>mxg<< >>mxo<< >>myc<< >>mye<< >>myx<< >>mzd<< >>nba<< >>nbd<< >>nbl<< >>nda<< >>ndc<< >>nde<< >>ndg<< >>ndh<< >>ndj<< >>ndk<< >>ndl<< >>ndn<< >>ndo<< >>ndq<< >>ndw<< >>ngc<< >>ngd<< >>ngl<< >>ngo<< >>ngp<< >>ngq<< >>ngy<< >>ngz<< >>nih<< >>nim<< >>nix<< >>njx<< >>njy<< >>nka<< >>nkc<< >>nkn<< >>nkt<< >>nkv<< >>nkw<< >>nlj<< >>nlo<< >>nmd<< >>nmg<< >>nmq<< >>nnb<< >>nnb_Latn<< >>nne<< >>nnq<< >>noq<< >>now<< >>nql<< >>nra<< >>nse<< >>nso<< >>nsx<< >>nte<< >>ntk<< >>nto<< >>nui<< >>nuj<< >>nvo<< >>nxd<< >>nxi<< >>nxo<< >>nya<< >>nyc<< >>nye<< >>nyf<< >>nyg<< >>nyj<< >>nyk<< >>nym<< >>nyn<< >>nyo<< >>nyr<< >>nyu<< >>nyy<< >>nzb<< >>nzd<< >>old<< >>olu<< >>oml<< >>ozm<< >>pae<< >>pbr<< >>pem<< >>phm<< >>pic<< >>piw<< >>pkb<< >>pmm<< >>pof<< >>poy<< >>puu<< >>reg<< >>rim<< >>rnd<< >>rng<< >>rnw<< >>rof<< >>rub<< >>ruc<< >>ruf<< >>run<< >>rwk<< >>rwm<< >>sak<< >>sbk<< >>sbm<< >>sbp<< >>sbs<< >>sbw<< >>sby<< >>sdj<< >>seg<< >>seh<< >>sgm<< >>shc<< >>shq<< >>shr<< >>sie<< >>skt<< >>slx<< >>smd<< >>smx<< >>sna<< >>sng<< >>snq<< >>soc<< >>sod<< >>soe<< >>soo<< >>sop<< >>sot<< >>sox<< >>soz<< >>ssc<< >>ssw<< >>sub<< >>suj<< >>suk<< >>suw<< >>swa<< >>swb<< >>swc<< >>swh<< >>swj<< >>swk<< >>sxb<< >>sxe<< >>syi<< >>syx<< >>szg<< >>szv<< >>tap<< >>tbt<< >>tck<< >>teg<< >>tek<< >>tga<< >>thk<< >>tii<< >>tke<< >>tlj<< >>tll<< >>tmv<< >>tny<< >>tog<< >>toh<< >>toi<< >>toi_Latn<< >>tsa<< >>tsc<< >>tsn<< >>tso<< >>tsv<< >>ttf<< >>ttj<< >>ttl<< >>tum<< >>tvs<< >>tvu<< >>twl<< >>two<< >>twx<< >>tyi<< >>tyx<< >>ukh<< >>umb<< >>vau<< >>ven<< >>vid<< >>vif<< >>vin<< >>vmk<< >>vmr<< >>vmw<< >>vum<< >>vun<< >>wbh<< >>wbi<< >>wdd<< >>wlc<< >>wmw<< >>wni<< >>won<< >>wum<< >>wun<< >>xdo<< >>xho<< >>xku<< >>xkv<< >>xma<< >>xmc<< >>xog<< >>xsq<< >>yaf<< >>yao<< >>yas<< >>yat<< >>yav<< >>yel<< >>yey<< >>yko<< >>ymk<< >>yns<< >>yom<< >>zaj<< >>zak<< >>zdj<< >>zga<< >>zin<< >>zmb<< >>zmf<< >>zmn<< >>zmp<< >>zmq<< >>zms<< >>zmw<< >>zmx<< >>zul<< - **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/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-bnt/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. `>>bas<<` ## 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 = [ ">>bas<< Replace this with text in an accepted source language.", ">>zul<< This is the second sentence." ] model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt" 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-bnt") print(pipe(">>bas<< 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-bnt/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-bnt/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-bnt/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-bnt/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 | |----------|---------|-------|-------|-------|--------| | eng-run | tatoeba-test-v2021-08-07 | 0.44207 | 11.8 | 1703 | 6710 | | eng-swa | tatoeba-test-v2021-08-07 | 0.60298 | 32.7 | 387 | 1888 | | fra-run | tatoeba-test-v2021-08-07 | 0.42664 | 11.2 | 1274 | 5081 | | spa-run | tatoeba-test-v2021-08-07 | 0.41921 | 10.5 | 963 | 3886 | | eng-lin | flores101-devtest | 0.43748 | 13.2 | 1012 | 26769 | | eng-nso | flores101-devtest | 0.47122 | 19.4 | 1012 | 31298 | | eng-sna | flores101-devtest | 0.44294 | 9.4 | 1012 | 20105 | | eng-xho | flores101-devtest | 0.50110 | 11.6 | 1012 | 18227 | | fra-sna | flores101-devtest | 0.40676 | 6.2 | 1012 | 20105 | | por-lin | flores101-devtest | 0.41675 | 10.7 | 1012 | 26769 | | spa-lin | flores101-devtest | 0.40631 | 8.8 | 1012 | 26769 | | deu-lin | flores200-devtest | 0.40763 | 9.9 | 1012 | 26769 | | deu-xho | flores200-devtest | 0.40586 | 4.8 | 1012 | 18227 | | eng-kin | flores200-devtest | 0.41492 | 11.1 | 1012 | 22774 | | eng-lin | flores200-devtest | 0.45568 | 14.7 | 1012 | 26769 | | eng-nso | flores200-devtest | 0.48626 | 20.8 | 1012 | 31298 | | eng-nya | flores200-devtest | 0.45067 | 10.7 | 1012 | 22180 | | eng-sna | flores200-devtest | 0.45629 | 10.1 | 1012 | 20105 | | eng-sot | flores200-devtest | 0.45331 | 15.4 | 1012 | 31600 | | eng-ssw | flores200-devtest | 0.43635 | 7.1 | 1012 | 18508 | | eng-tsn | flores200-devtest | 0.45233 | 17.7 | 1012 | 33831 | | eng-tso | flores200-devtest | 0.48529 | 18.3 | 1012 | 29548 | | eng-xho | flores200-devtest | 0.51974 | 13.1 | 1012 | 18227 | | eng-zul | flores200-devtest | 0.53320 | 14.0 | 1012 | 18556 | | fra-lin | flores200-devtest | 0.44410 | 13.0 | 1012 | 26769 | | fra-sna | flores200-devtest | 0.42053 | 6.9 | 1012 | 20105 | | fra-xho | flores200-devtest | 0.44537 | 7.1 | 1012 | 18227 | | fra-zul | flores200-devtest | 0.41291 | 5.7 | 1012 | 18556 | | por-lin | flores200-devtest | 0.42944 | 11.7 | 1012 | 26769 | | por-xho | flores200-devtest | 0.41363 | 5.8 | 1012 | 18227 | | spa-lin | flores200-devtest | 0.41938 | 9.4 | 1012 | 26769 | | deu-swa | ntrex128 | 0.48979 | 18.0 | 1997 | 46859 | | deu-tsn | ntrex128 | 0.41894 | 15.4 | 1997 | 71271 | | eng-nya | ntrex128 | 0.46801 | 14.9 | 1997 | 43727 | | eng-ssw | ntrex128 | 0.42880 | 6.7 | 1997 | 36169 | | eng-swa | ntrex128 | 0.60117 | 33.4 | 1997 | 46859 | | eng-tsn | ntrex128 | 0.46599 | 22.2 | 1997 | 71271 | | eng-xho | ntrex128 | 0.48847 | 11.2 | 1997 | 35439 | | eng-zul | ntrex128 | 0.49764 | 10.7 | 1997 | 34438 | | fra-swa | ntrex128 | 0.45494 | 17.5 | 1997 | 46859 | | fra-tsn | ntrex128 | 0.41426 | 15.3 | 1997 | 71271 | | fra-xho | ntrex128 | 0.41206 | 5.2 | 1997 | 35439 | | por-swa | ntrex128 | 0.46465 | 18.0 | 1997 | 46859 | | por-tsn | ntrex128 | 0.40236 | 14.5 | 1997 | 71271 | | por-xho | ntrex128 | 0.40070 | 5.0 | 1997 | 35439 | | spa-swa | ntrex128 | 0.46670 | 18.1 | 1997 | 46859 | | spa-tsn | ntrex128 | 0.40263 | 14.2 | 1997 | 71271 | | spa-xho | ntrex128 | 0.40247 | 4.9 | 1997 | 35439 | | eng-kin | tico19-test | 0.40952 | 11.3 | 2100 | 55034 | | eng-lin | tico19-test | 0.44670 | 15.5 | 2100 | 61116 | | eng-swa | tico19-test | 0.56798 | 28.0 | 2100 | 58846 | | eng-zul | tico19-test | 0.53624 | 14.4 | 2100 | 44098 | | fra-swa | tico19-test | 0.44926 | 16.8 | 2100 | 58846 | | fra-zul | tico19-test | 0.40588 | 6.0 | 2100 | 44098 | | por-lin | tico19-test | 0.41729 | 12.5 | 2100 | 61116 | | por-swa | tico19-test | 0.49303 | 19.6 | 2100 | 58846 | | spa-lin | tico19-test | 0.41645 | 12.1 | 2100 | 61116 | | spa-swa | tico19-test | 0.48614 | 18.8 | 2100 | 58846 | | spa-zul | tico19-test | 0.40058 | 5.3 | 2100 | 44098 | ## 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 09:00:33 EEST 2024 * port machine: LM0-400-22516.local