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opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa

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---
library_name: transformers
language:
- bal
- de
- diq
- en
- es
- fa
- fr
- glk
- jdt
- ku
- lrc
- mzn
- os
- pal
- ps
- pt
- tg
- tly
- zza
language_bcp47:
- ku_Latn
tags:
- translation
- opus-mt-tc-bible
license: apache-2.0
model-index:
- name: opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa
results:
- task:
name: Translation ckb-deu
type: translation
args: ckb-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: ckb-deu
metrics:
- name: BLEU
type: bleu
value: 11.7
- name: chr-F
type: chrf
value: 0.40369
- task:
name: Translation ckb-eng
type: translation
args: ckb-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: ckb-eng
metrics:
- name: BLEU
type: bleu
value: 21.5
- name: chr-F
type: chrf
value: 0.48447
- task:
name: Translation ckb-fra
type: translation
args: ckb-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: ckb-fra
metrics:
- name: BLEU
type: bleu
value: 17.1
- name: chr-F
type: chrf
value: 0.44026
- task:
name: Translation ckb-por
type: translation
args: ckb-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: ckb-por
metrics:
- name: BLEU
type: bleu
value: 16.4
- name: chr-F
type: chrf
value: 0.43192
- task:
name: Translation ckb-spa
type: translation
args: ckb-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: ckb-spa
metrics:
- name: BLEU
type: bleu
value: 11.7
- name: chr-F
type: chrf
value: 0.38880
- task:
name: Translation kmr-eng
type: translation
args: kmr-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: kmr-eng
metrics:
- name: BLEU
type: bleu
value: 12.4
- name: chr-F
type: chrf
value: 0.37372
- task:
name: Translation pes-deu
type: translation
args: pes-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: pes-deu
metrics:
- name: BLEU
type: bleu
value: 21.5
- name: chr-F
type: chrf
value: 0.51542
- task:
name: Translation pes-eng
type: translation
args: pes-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: pes-eng
metrics:
- name: BLEU
type: bleu
value: 34.9
- name: chr-F
type: chrf
value: 0.61372
- task:
name: Translation pes-fra
type: translation
args: pes-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: pes-fra
metrics:
- name: BLEU
type: bleu
value: 29.2
- name: chr-F
type: chrf
value: 0.56347
- task:
name: Translation pes-por
type: translation
args: pes-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: pes-por
metrics:
- name: BLEU
type: bleu
value: 28.5
- name: chr-F
type: chrf
value: 0.55676
- task:
name: Translation pes-spa
type: translation
args: pes-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: pes-spa
metrics:
- name: BLEU
type: bleu
value: 19.8
- name: chr-F
type: chrf
value: 0.48334
- task:
name: Translation prs-deu
type: translation
args: prs-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: prs-deu
metrics:
- name: BLEU
type: bleu
value: 21.2
- name: chr-F
type: chrf
value: 0.50562
- task:
name: Translation prs-eng
type: translation
args: prs-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: prs-eng
metrics:
- name: BLEU
type: bleu
value: 35.1
- name: chr-F
type: chrf
value: 0.60716
- task:
name: Translation prs-fra
type: translation
args: prs-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: prs-fra
metrics:
- name: BLEU
type: bleu
value: 27.8
- name: chr-F
type: chrf
value: 0.54769
- task:
name: Translation prs-por
type: translation
args: prs-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: prs-por
metrics:
- name: BLEU
type: bleu
value: 27.2
- name: chr-F
type: chrf
value: 0.54073
- task:
name: Translation prs-spa
type: translation
args: prs-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: prs-spa
metrics:
- name: BLEU
type: bleu
value: 18.6
- name: chr-F
type: chrf
value: 0.46850
- task:
name: Translation tgk-deu
type: translation
args: tgk-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: tgk-deu
metrics:
- name: BLEU
type: bleu
value: 14.2
- name: chr-F
type: chrf
value: 0.43115
- task:
name: Translation tgk-eng
type: translation
args: tgk-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: tgk-eng
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.53705
- task:
name: Translation tgk-fra
type: translation
args: tgk-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: tgk-fra
metrics:
- name: BLEU
type: bleu
value: 20.7
- name: chr-F
type: chrf
value: 0.48902
- task:
name: Translation tgk-por
type: translation
args: tgk-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: tgk-por
metrics:
- name: BLEU
type: bleu
value: 20.7
- name: chr-F
type: chrf
value: 0.48519
- task:
name: Translation tgk-spa
type: translation
args: tgk-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: tgk-spa
metrics:
- name: BLEU
type: bleu
value: 15.7
- name: chr-F
type: chrf
value: 0.43563
- task:
name: Translation ckb-deu
type: translation
args: ckb-deu
dataset:
name: flores101-devtest
type: flores_101
args: ckb deu devtest
metrics:
- name: BLEU
type: bleu
value: 11.6
- name: chr-F
type: chrf
value: 0.40117
- task:
name: Translation ckb-eng
type: translation
args: ckb-eng
dataset:
name: flores101-devtest
type: flores_101
args: ckb eng devtest
metrics:
- name: BLEU
type: bleu
value: 21.6
- name: chr-F
type: chrf
value: 0.48321
- task:
name: Translation ckb-fra
type: translation
args: ckb-fra
dataset:
name: flores101-devtest
type: flores_101
args: ckb fra devtest
metrics:
- name: BLEU
type: bleu
value: 17.2
- name: chr-F
type: chrf
value: 0.44260
- task:
name: Translation ckb-por
type: translation
args: ckb-por
dataset:
name: flores101-devtest
type: flores_101
args: ckb por devtest
metrics:
- name: BLEU
type: bleu
value: 16.2
- name: chr-F
type: chrf
value: 0.43179
- task:
name: Translation fas-eng
type: translation
args: fas-eng
dataset:
name: flores101-devtest
type: flores_101
args: fas eng devtest
metrics:
- name: BLEU
type: bleu
value: 34.4
- name: chr-F
type: chrf
value: 0.61134
- task:
name: Translation pus-eng
type: translation
args: pus-eng
dataset:
name: flores101-devtest
type: flores_101
args: pus eng devtest
metrics:
- name: BLEU
type: bleu
value: 22.7
- name: chr-F
type: chrf
value: 0.49556
- task:
name: Translation pus-fra
type: translation
args: pus-fra
dataset:
name: flores101-devtest
type: flores_101
args: pus fra devtest
metrics:
- name: BLEU
type: bleu
value: 17.8
- name: chr-F
type: chrf
value: 0.45248
- task:
name: Translation tgk-eng
type: translation
args: tgk-eng
dataset:
name: flores101-devtest
type: flores_101
args: tgk eng devtest
metrics:
- name: BLEU
type: bleu
value: 25.4
- name: chr-F
type: chrf
value: 0.53630
- task:
name: Translation tgk-fra
type: translation
args: tgk-fra
dataset:
name: flores101-devtest
type: flores_101
args: tgk fra devtest
metrics:
- name: BLEU
type: bleu
value: 21.0
- name: chr-F
type: chrf
value: 0.49084
- task:
name: Translation tgk-spa
type: translation
args: tgk-spa
dataset:
name: flores101-devtest
type: flores_101
args: tgk spa devtest
metrics:
- name: BLEU
type: bleu
value: 15.5
- name: chr-F
type: chrf
value: 0.43524
- task:
name: Translation fas-deu
type: translation
args: fas-deu
dataset:
name: ntrex128
type: ntrex128
args: fas-deu
metrics:
- name: BLEU
type: bleu
value: 16.7
- name: chr-F
type: chrf
value: 0.47408
- task:
name: Translation fas-eng
type: translation
args: fas-eng
dataset:
name: ntrex128
type: ntrex128
args: fas-eng
metrics:
- name: BLEU
type: bleu
value: 26.4
- name: chr-F
type: chrf
value: 0.55350
- task:
name: Translation fas-fra
type: translation
args: fas-fra
dataset:
name: ntrex128
type: ntrex128
args: fas-fra
metrics:
- name: BLEU
type: bleu
value: 22.1
- name: chr-F
type: chrf
value: 0.50311
- task:
name: Translation fas-por
type: translation
args: fas-por
dataset:
name: ntrex128
type: ntrex128
args: fas-por
metrics:
- name: BLEU
type: bleu
value: 19.1
- name: chr-F
type: chrf
value: 0.48005
- task:
name: Translation fas-spa
type: translation
args: fas-spa
dataset:
name: ntrex128
type: ntrex128
args: fas-spa
metrics:
- name: BLEU
type: bleu
value: 23.6
- name: chr-F
type: chrf
value: 0.50973
- task:
name: Translation kmr-eng
type: translation
args: kmr-eng
dataset:
name: ntrex128
type: ntrex128
args: kmr-eng
metrics:
- name: BLEU
type: bleu
value: 12.8
- name: chr-F
type: chrf
value: 0.38189
- task:
name: Translation prs-deu
type: translation
args: prs-deu
dataset:
name: ntrex128
type: ntrex128
args: prs-deu
metrics:
- name: BLEU
type: bleu
value: 14.9
- name: chr-F
type: chrf
value: 0.45191
- task:
name: Translation prs-eng
type: translation
args: prs-eng
dataset:
name: ntrex128
type: ntrex128
args: prs-eng
metrics:
- name: BLEU
type: bleu
value: 26.6
- name: chr-F
type: chrf
value: 0.54761
- task:
name: Translation prs-fra
type: translation
args: prs-fra
dataset:
name: ntrex128
type: ntrex128
args: prs-fra
metrics:
- name: BLEU
type: bleu
value: 19.9
- name: chr-F
type: chrf
value: 0.47819
- task:
name: Translation prs-por
type: translation
args: prs-por
dataset:
name: ntrex128
type: ntrex128
args: prs-por
metrics:
- name: BLEU
type: bleu
value: 17.4
- name: chr-F
type: chrf
value: 0.46241
- task:
name: Translation prs-spa
type: translation
args: prs-spa
dataset:
name: ntrex128
type: ntrex128
args: prs-spa
metrics:
- name: BLEU
type: bleu
value: 21.4
- name: chr-F
type: chrf
value: 0.48712
- task:
name: Translation pus-eng
type: translation
args: pus-eng
dataset:
name: ntrex128
type: ntrex128
args: pus-eng
metrics:
- name: BLEU
type: bleu
value: 17.4
- name: chr-F
type: chrf
value: 0.43901
- task:
name: Translation pus-fra
type: translation
args: pus-fra
dataset:
name: ntrex128
type: ntrex128
args: pus-fra
metrics:
- name: BLEU
type: bleu
value: 12.4
- name: chr-F
type: chrf
value: 0.39661
- task:
name: Translation pus-por
type: translation
args: pus-por
dataset:
name: ntrex128
type: ntrex128
args: pus-por
metrics:
- name: BLEU
type: bleu
value: 11.4
- name: chr-F
type: chrf
value: 0.38694
- task:
name: Translation pus-spa
type: translation
args: pus-spa
dataset:
name: ntrex128
type: ntrex128
args: pus-spa
metrics:
- name: BLEU
type: bleu
value: 14.1
- name: chr-F
type: chrf
value: 0.40812
- task:
name: Translation tgk_Cyrl-deu
type: translation
args: tgk_Cyrl-deu
dataset:
name: ntrex128
type: ntrex128
args: tgk_Cyrl-deu
metrics:
- name: BLEU
type: bleu
value: 10.7
- name: chr-F
type: chrf
value: 0.38740
- task:
name: Translation tgk_Cyrl-eng
type: translation
args: tgk_Cyrl-eng
dataset:
name: ntrex128
type: ntrex128
args: tgk_Cyrl-eng
metrics:
- name: BLEU
type: bleu
value: 18.6
- name: chr-F
type: chrf
value: 0.46839
- task:
name: Translation tgk_Cyrl-fra
type: translation
args: tgk_Cyrl-fra
dataset:
name: ntrex128
type: ntrex128
args: tgk_Cyrl-fra
metrics:
- name: BLEU
type: bleu
value: 15.1
- name: chr-F
type: chrf
value: 0.42569
- task:
name: Translation tgk_Cyrl-por
type: translation
args: tgk_Cyrl-por
dataset:
name: ntrex128
type: ntrex128
args: tgk_Cyrl-por
metrics:
- name: BLEU
type: bleu
value: 13.7
- name: chr-F
type: chrf
value: 0.41632
- task:
name: Translation tgk_Cyrl-spa
type: translation
args: tgk_Cyrl-spa
dataset:
name: ntrex128
type: ntrex128
args: tgk_Cyrl-spa
metrics:
- name: BLEU
type: bleu
value: 16.8
- name: chr-F
type: chrf
value: 0.43763
- task:
name: Translation fas-deu
type: translation
args: fas-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fas-deu
metrics:
- name: BLEU
type: bleu
value: 36.1
- name: chr-F
type: chrf
value: 0.59737
- task:
name: Translation fas-eng
type: translation
args: fas-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fas-eng
metrics:
- name: BLEU
type: bleu
value: 35.8
- name: chr-F
type: chrf
value: 0.59871
- task:
name: Translation fas-fra
type: translation
args: fas-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fas-fra
metrics:
- name: BLEU
type: bleu
value: 36.3
- name: chr-F
type: chrf
value: 0.58095
- task:
name: Translation kur_Latn-deu
type: translation
args: kur_Latn-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: kur_Latn-deu
metrics:
- name: BLEU
type: bleu
value: 24.9
- name: chr-F
type: chrf
value: 0.40276
- 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: 34.0
- name: chr-F
type: chrf
value: 0.56042
- task:
name: Translation pes-eng
type: translation
args: pes-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: pes-eng
metrics:
- name: BLEU
type: bleu
value: 42.3
- name: chr-F
type: chrf
value: 0.60717
- task:
name: Translation ckb-eng
type: translation
args: ckb-eng
dataset:
name: tico19-test
type: tico19-test
args: ckb-eng
metrics:
- name: BLEU
type: bleu
value: 40.1
- name: chr-F
type: chrf
value: 0.61905
- task:
name: Translation ckb-fra
type: translation
args: ckb-fra
dataset:
name: tico19-test
type: tico19-test
args: ckb-fra
metrics:
- name: BLEU
type: bleu
value: 19.7
- name: chr-F
type: chrf
value: 0.45070
- task:
name: Translation ckb-por
type: translation
args: ckb-por
dataset:
name: tico19-test
type: tico19-test
args: ckb-por
metrics:
- name: BLEU
type: bleu
value: 22.9
- name: chr-F
type: chrf
value: 0.49617
- task:
name: Translation ckb-spa
type: translation
args: ckb-spa
dataset:
name: tico19-test
type: tico19-test
args: ckb-spa
metrics:
- name: BLEU
type: bleu
value: 24.9
- name: chr-F
type: chrf
value: 0.50543
- task:
name: Translation fas-eng
type: translation
args: fas-eng
dataset:
name: tico19-test
type: tico19-test
args: fas-eng
metrics:
- name: BLEU
type: bleu
value: 37.3
- name: chr-F
type: chrf
value: 0.64016
- task:
name: Translation fas-fra
type: translation
args: fas-fra
dataset:
name: tico19-test
type: tico19-test
args: fas-fra
metrics:
- name: BLEU
type: bleu
value: 26.1
- name: chr-F
type: chrf
value: 0.53319
- task:
name: Translation fas-por
type: translation
args: fas-por
dataset:
name: tico19-test
type: tico19-test
args: fas-por
metrics:
- name: BLEU
type: bleu
value: 30.6
- name: chr-F
type: chrf
value: 0.58008
- task:
name: Translation fas-spa
type: translation
args: fas-spa
dataset:
name: tico19-test
type: tico19-test
args: fas-spa
metrics:
- name: BLEU
type: bleu
value: 33.3
- name: chr-F
type: chrf
value: 0.59239
- task:
name: Translation prs-eng
type: translation
args: prs-eng
dataset:
name: tico19-test
type: tico19-test
args: prs-eng
metrics:
- name: BLEU
type: bleu
value: 34.8
- name: chr-F
type: chrf
value: 0.61702
- task:
name: Translation prs-fra
type: translation
args: prs-fra
dataset:
name: tico19-test
type: tico19-test
args: prs-fra
metrics:
- name: BLEU
type: bleu
value: 24.0
- name: chr-F
type: chrf
value: 0.51218
- task:
name: Translation prs-por
type: translation
args: prs-por
dataset:
name: tico19-test
type: tico19-test
args: prs-por
metrics:
- name: BLEU
type: bleu
value: 28.6
- name: chr-F
type: chrf
value: 0.55888
- task:
name: Translation prs-spa
type: translation
args: prs-spa
dataset:
name: tico19-test
type: tico19-test
args: prs-spa
metrics:
- name: BLEU
type: bleu
value: 31.1
- name: chr-F
type: chrf
value: 0.57494
- task:
name: Translation pus-eng
type: translation
args: pus-eng
dataset:
name: tico19-test
type: tico19-test
args: pus-eng
metrics:
- name: BLEU
type: bleu
value: 32.1
- name: chr-F
type: chrf
value: 0.57586
- task:
name: Translation pus-fra
type: translation
args: pus-fra
dataset:
name: tico19-test
type: tico19-test
args: pus-fra
metrics:
- name: BLEU
type: bleu
value: 19.2
- name: chr-F
type: chrf
value: 0.46091
- task:
name: Translation pus-por
type: translation
args: pus-por
dataset:
name: tico19-test
type: tico19-test
args: pus-por
metrics:
- name: BLEU
type: bleu
value: 24.1
- name: chr-F
type: chrf
value: 0.51033
- task:
name: Translation pus-spa
type: translation
args: pus-spa
dataset:
name: tico19-test
type: tico19-test
args: pus-spa
metrics:
- name: BLEU
type: bleu
value: 25.9
- name: chr-F
type: chrf
value: 0.51857
- task:
name: Translation pus-eng
type: translation
args: pus-eng
dataset:
name: newstest2020
type: wmt-2020-news
args: pus-eng
metrics:
- name: BLEU
type: bleu
value: 13.1
- name: chr-F
type: chrf
value: 0.37487
---
# opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa
## 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 Iranian languages (ira) to unknown (deu+eng+fra+por+spa).
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): bal ckb diq fas glk jdt kmr kur lrc mzn oss pal pes prs pus sdh tgk tly zza
- Target Language(s): deu eng fra por spa
- Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<<
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ira-deu+eng+fra+por+spa/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/ira-deu%2Beng%2Bfra%2Bpor%2Bspa/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. `>>deu<<`
## 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 = [
">>deu<< Replace this with text in an accepted source language.",
">>spa<< This is the second sentence."
]
model_name = "pytorch-models/opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa"
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-ira-deu_eng_fra_por_spa")
print(pipe(">>deu<< 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/ira-deu+eng+fra+por+spa/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/ira-deu%2Beng%2Bfra%2Bpor%2Bspa/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/ira-deu+eng+fra+por+spa/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/ira-deu+eng+fra+por+spa/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 |
|----------|---------|-------|-------|-------|--------|
| fas-deu | tatoeba-test-v2021-08-07 | 0.59737 | 36.1 | 3185 | 25590 |
| fas-eng | tatoeba-test-v2021-08-07 | 0.59871 | 35.8 | 3762 | 31480 |
| fas-fra | tatoeba-test-v2021-08-07 | 0.58095 | 36.3 | 376 | 3377 |
| kur_Latn-deu | tatoeba-test-v2021-08-07 | 0.40276 | 24.9 | 223 | 1323 |
| pes-eng | tatoeba-test-v2021-08-07 | 0.60717 | 42.3 | 3757 | 31411 |
| ckb-deu | flores101-devtest | 0.40117 | 11.6 | 1012 | 25094 |
| ckb-eng | flores101-devtest | 0.48321 | 21.6 | 1012 | 24721 |
| ckb-fra | flores101-devtest | 0.44260 | 17.2 | 1012 | 28343 |
| ckb-por | flores101-devtest | 0.43179 | 16.2 | 1012 | 26519 |
| fas-eng | flores101-devtest | 0.61134 | 34.4 | 1012 | 24721 |
| pus-eng | flores101-devtest | 0.49556 | 22.7 | 1012 | 24721 |
| pus-fra | flores101-devtest | 0.45248 | 17.8 | 1012 | 28343 |
| tgk-eng | flores101-devtest | 0.53630 | 25.4 | 1012 | 24721 |
| tgk-fra | flores101-devtest | 0.49084 | 21.0 | 1012 | 28343 |
| tgk-spa | flores101-devtest | 0.43524 | 15.5 | 1012 | 29199 |
| ckb-deu | flores200-devtest | 0.40369 | 11.7 | 1012 | 25094 |
| ckb-eng | flores200-devtest | 0.48447 | 21.5 | 1012 | 24721 |
| ckb-fra | flores200-devtest | 0.44026 | 17.1 | 1012 | 28343 |
| ckb-por | flores200-devtest | 0.43192 | 16.4 | 1012 | 26519 |
| pes-deu | flores200-devtest | 0.51542 | 21.5 | 1012 | 25094 |
| pes-eng | flores200-devtest | 0.61372 | 34.9 | 1012 | 24721 |
| pes-fra | flores200-devtest | 0.56347 | 29.2 | 1012 | 28343 |
| pes-por | flores200-devtest | 0.55676 | 28.5 | 1012 | 26519 |
| pes-spa | flores200-devtest | 0.48334 | 19.8 | 1012 | 29199 |
| prs-deu | flores200-devtest | 0.50562 | 21.2 | 1012 | 25094 |
| prs-eng | flores200-devtest | 0.60716 | 35.1 | 1012 | 24721 |
| prs-fra | flores200-devtest | 0.54769 | 27.8 | 1012 | 28343 |
| prs-por | flores200-devtest | 0.54073 | 27.2 | 1012 | 26519 |
| prs-spa | flores200-devtest | 0.46850 | 18.6 | 1012 | 29199 |
| tgk-deu | flores200-devtest | 0.43115 | 14.2 | 1012 | 25094 |
| tgk-eng | flores200-devtest | 0.53705 | 25.6 | 1012 | 24721 |
| tgk-fra | flores200-devtest | 0.48902 | 20.7 | 1012 | 28343 |
| tgk-por | flores200-devtest | 0.48519 | 20.7 | 1012 | 26519 |
| tgk-spa | flores200-devtest | 0.43563 | 15.7 | 1012 | 29199 |
| fas-deu | ntrex128 | 0.47408 | 16.7 | 1997 | 48761 |
| fas-eng | ntrex128 | 0.55350 | 26.4 | 1997 | 47673 |
| fas-fra | ntrex128 | 0.50311 | 22.1 | 1997 | 53481 |
| fas-por | ntrex128 | 0.48005 | 19.1 | 1997 | 51631 |
| fas-spa | ntrex128 | 0.50973 | 23.6 | 1997 | 54107 |
| prs-deu | ntrex128 | 0.45191 | 14.9 | 1997 | 48761 |
| prs-eng | ntrex128 | 0.54761 | 26.6 | 1997 | 47673 |
| prs-fra | ntrex128 | 0.47819 | 19.9 | 1997 | 53481 |
| prs-por | ntrex128 | 0.46241 | 17.4 | 1997 | 51631 |
| prs-spa | ntrex128 | 0.48712 | 21.4 | 1997 | 54107 |
| pus-eng | ntrex128 | 0.43901 | 17.4 | 1997 | 47673 |
| pus-spa | ntrex128 | 0.40812 | 14.1 | 1997 | 54107 |
| tgk_Cyrl-eng | ntrex128 | 0.46839 | 18.6 | 1997 | 47673 |
| tgk_Cyrl-fra | ntrex128 | 0.42569 | 15.1 | 1997 | 53481 |
| tgk_Cyrl-por | ntrex128 | 0.41632 | 13.7 | 1997 | 51631 |
| tgk_Cyrl-spa | ntrex128 | 0.43763 | 16.8 | 1997 | 54107 |
| ckb-eng | tico19-test | 0.61905 | 40.1 | 2100 | 56315 |
| ckb-fra | tico19-test | 0.45070 | 19.7 | 2100 | 64661 |
| ckb-por | tico19-test | 0.49617 | 22.9 | 2100 | 62729 |
| ckb-spa | tico19-test | 0.50543 | 24.9 | 2100 | 66563 |
| fas-eng | tico19-test | 0.64016 | 37.3 | 2100 | 56315 |
| fas-fra | tico19-test | 0.53319 | 26.1 | 2100 | 64661 |
| fas-por | tico19-test | 0.58008 | 30.6 | 2100 | 62729 |
| fas-spa | tico19-test | 0.59239 | 33.3 | 2100 | 66563 |
| prs-eng | tico19-test | 0.61702 | 34.8 | 2100 | 56824 |
| prs-fra | tico19-test | 0.51218 | 24.0 | 2100 | 64661 |
| prs-por | tico19-test | 0.55888 | 28.6 | 2100 | 62729 |
| prs-spa | tico19-test | 0.57494 | 31.1 | 2100 | 66563 |
| pus-eng | tico19-test | 0.57586 | 32.1 | 2100 | 56315 |
| pus-fra | tico19-test | 0.46091 | 19.2 | 2100 | 64661 |
| pus-por | tico19-test | 0.51033 | 24.1 | 2100 | 62729 |
| pus-spa | tico19-test | 0.51857 | 25.9 | 2100 | 66563 |
## 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 11:54:09 EEST 2024
* port machine: LM0-400-22516.local