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.gitattributes

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README.md

@@ -0,0 +1,1228 @@
+---
+library_name: transformers
+language:
+- chm
+- de
+- en
+- es
+- et
+- fi
+- fkv
+- fr
+- hu
+- izh
+- krl
+- kv
+- liv
+- mdf
+- mrj
+- myv
+- pt
+- se
+- sma
+- smn
+- udm
+- vep
+- vot
+
+tags:
+- translation
+- opus-mt-tc-bible
+
+license: apache-2.0
+model-index:
+- name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-fiu
+  results:
+  - task:
+      name: Translation deu-est
+      type: translation
+      args: deu-est
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.55333
+  - task:
+      name: Translation deu-fin
+      type: translation
+      args: deu-fin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.3
+       - name: chr-F
+         type: chrf
+         value: 0.54020
+  - task:
+      name: Translation deu-hun
+      type: translation
+      args: deu-hun
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.0
+       - name: chr-F
+         type: chrf
+         value: 0.53579
+  - task:
+      name: Translation eng-est
+      type: translation
+      args: eng-est
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.1
+       - name: chr-F
+         type: chrf
+         value: 0.59496
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.1
+       - name: chr-F
+         type: chrf
+         value: 0.57811
+  - task:
+      name: Translation eng-hun
+      type: translation
+      args: eng-hun
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.7
+       - name: chr-F
+         type: chrf
+         value: 0.57670
+  - task:
+      name: Translation fra-est
+      type: translation
+      args: fra-est
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.54442
+  - task:
+      name: Translation fra-fin
+      type: translation
+      args: fra-fin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.53768
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.52691
+  - task:
+      name: Translation por-est
+      type: translation
+      args: por-est
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.6
+       - name: chr-F
+         type: chrf
+         value: 0.48227
+  - task:
+      name: Translation por-fin
+      type: translation
+      args: por-fin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.53772
+  - task:
+      name: Translation por-hun
+      type: translation
+      args: por-hun
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.53275
+  - task:
+      name: Translation spa-est
+      type: translation
+      args: spa-est
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.2
+       - name: chr-F
+         type: chrf
+         value: 0.50142
+  - task:
+      name: Translation spa-fin
+      type: translation
+      args: spa-fin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.7
+       - name: chr-F
+         type: chrf
+         value: 0.50401
+  - task:
+      name: Translation spa-hun
+      type: translation
+      args: spa-hun
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.4
+       - name: chr-F
+         type: chrf
+         value: 0.49444
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: eng fin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.9
+       - name: chr-F
+         type: chrf
+         value: 0.57265
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fra hun devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.52691
+  - task:
+      name: Translation por-fin
+      type: translation
+      args: por-fin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: por fin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.53772
+  - task:
+      name: Translation por-hun
+      type: translation
+      args: por-hun
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: por hun devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.53275
+  - task:
+      name: Translation spa-est
+      type: translation
+      args: spa-est
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: spa est devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.2
+       - name: chr-F
+         type: chrf
+         value: 0.50142
+  - task:
+      name: Translation spa-fin
+      type: translation
+      args: spa-fin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: spa fin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.7
+       - name: chr-F
+         type: chrf
+         value: 0.50401
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstestALL2016
+      type: newstestALL2016
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.3
+       - name: chr-F
+         type: chrf
+         value: 0.57934
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstestALL2017
+      type: newstestALL2017
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.5
+       - name: chr-F
+         type: chrf
+         value: 0.60204
+  - task:
+      name: Translation deu-est
+      type: translation
+      args: deu-est
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.51761
+  - task:
+      name: Translation deu-fin
+      type: translation
+      args: deu-fin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.5
+       - name: chr-F
+         type: chrf
+         value: 0.50759
+  - task:
+      name: Translation deu-hun
+      type: translation
+      args: deu-hun
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.6
+       - name: chr-F
+         type: chrf
+         value: 0.46171
+  - task:
+      name: Translation eng-est
+      type: translation
+      args: eng-est
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+       - name: chr-F
+         type: chrf
+         value: 0.57099
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.53413
+  - task:
+      name: Translation eng-hun
+      type: translation
+      args: eng-hun
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.6
+       - name: chr-F
+         type: chrf
+         value: 0.47342
+  - task:
+      name: Translation fra-est
+      type: translation
+      args: fra-est
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fra-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.50712
+  - task:
+      name: Translation fra-fin
+      type: translation
+      args: fra-fin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fra-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.2
+       - name: chr-F
+         type: chrf
+         value: 0.49215
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fra-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.9
+       - name: chr-F
+         type: chrf
+         value: 0.44873
+  - task:
+      name: Translation por-est
+      type: translation
+      args: por-est
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.1
+       - name: chr-F
+         type: chrf
+         value: 0.48098
+  - task:
+      name: Translation por-fin
+      type: translation
+      args: por-fin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.0
+       - name: chr-F
+         type: chrf
+         value: 0.50875
+  - task:
+      name: Translation por-hun
+      type: translation
+      args: por-hun
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.5
+       - name: chr-F
+         type: chrf
+         value: 0.45817
+  - task:
+      name: Translation spa-est
+      type: translation
+      args: spa-est
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.52158
+  - task:
+      name: Translation spa-fin
+      type: translation
+      args: spa-fin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.2
+       - name: chr-F
+         type: chrf
+         value: 0.50947
+  - task:
+      name: Translation spa-hun
+      type: translation
+      args: spa-hun
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.1
+       - name: chr-F
+         type: chrf
+         value: 0.46051
+  - task:
+      name: Translation deu-est
+      type: translation
+      args: deu-est
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: deu-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 57.8
+       - name: chr-F
+         type: chrf
+         value: 0.76586
+  - task:
+      name: Translation deu-fin
+      type: translation
+      args: deu-fin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: deu-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 40.7
+       - name: chr-F
+         type: chrf
+         value: 0.64286
+  - task:
+      name: Translation deu-hun
+      type: translation
+      args: deu-hun
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: deu-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.2
+       - name: chr-F
+         type: chrf
+         value: 0.57007
+  - task:
+      name: Translation eng-est
+      type: translation
+      args: eng-est
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: eng-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.6
+       - name: chr-F
+         type: chrf
+         value: 0.69134
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 37.6
+       - name: chr-F
+         type: chrf
+         value: 0.62482
+  - task:
+      name: Translation eng-hun
+      type: translation
+      args: eng-hun
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: eng-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.9
+       - name: chr-F
+         type: chrf
+         value: 0.59750
+  - task:
+      name: Translation fra-fin
+      type: translation
+      args: fra-fin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fra-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 45.0
+       - name: chr-F
+         type: chrf
+         value: 0.65723
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fra-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 40.6
+       - name: chr-F
+         type: chrf
+         value: 0.63096
+  - 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: 32.8
+       - name: chr-F
+         type: chrf
+         value: 0.58505
+  - task:
+      name: Translation por-fin
+      type: translation
+      args: por-fin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: por-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 58.1
+       - name: chr-F
+         type: chrf
+         value: 0.76811
+  - task:
+      name: Translation por-hun
+      type: translation
+      args: por-hun
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: por-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.5
+       - name: chr-F
+         type: chrf
+         value: 0.64930
+  - task:
+      name: Translation spa-fin
+      type: translation
+      args: spa-fin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: spa-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 43.4
+       - name: chr-F
+         type: chrf
+         value: 0.66220
+  - task:
+      name: Translation spa-hun
+      type: translation
+      args: spa-hun
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: spa-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.0
+       - name: chr-F
+         type: chrf
+         value: 0.63596
+  - task:
+      name: Translation deu-hun
+      type: translation
+      args: deu-hun
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: deu-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.2
+       - name: chr-F
+         type: chrf
+         value: 0.48855
+  - task:
+      name: Translation eng-hun
+      type: translation
+      args: eng-hun
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: eng-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.9
+       - name: chr-F
+         type: chrf
+         value: 0.47636
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: fra-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.48598
+  - task:
+      name: Translation spa-hun
+      type: translation
+      args: spa-hun
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: spa-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.1
+       - name: chr-F
+         type: chrf
+         value: 0.47888
+  - task:
+      name: Translation deu-hun
+      type: translation
+      args: deu-hun
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: deu-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.1
+       - name: chr-F
+         type: chrf
+         value: 0.48692
+  - task:
+      name: Translation eng-hun
+      type: translation
+      args: eng-hun
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: eng-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.4
+       - name: chr-F
+         type: chrf
+         value: 0.49507
+  - task:
+      name: Translation fra-hun
+      type: translation
+      args: fra-hun
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: fra-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.48961
+  - task:
+      name: Translation spa-hun
+      type: translation
+      args: spa-hun
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: spa-hun
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.1
+       - name: chr-F
+         type: chrf
+         value: 0.48496
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstest2015
+      type: wmt-2015-news
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.8
+       - name: chr-F
+         type: chrf
+         value: 0.56896
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstest2016
+      type: wmt-2016-news
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.3
+       - name: chr-F
+         type: chrf
+         value: 0.57934
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstest2017
+      type: wmt-2017-news
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.5
+       - name: chr-F
+         type: chrf
+         value: 0.60204
+  - task:
+      name: Translation eng-est
+      type: translation
+      args: eng-est
+    dataset:
+      name: newstest2018
+      type: wmt-2018-news
+      args: eng-est
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.8
+       - name: chr-F
+         type: chrf
+         value: 0.56276
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstest2018
+      type: wmt-2018-news
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.4
+       - name: chr-F
+         type: chrf
+         value: 0.52953
+  - task:
+      name: Translation eng-fin
+      type: translation
+      args: eng-fin
+    dataset:
+      name: newstest2019
+      type: wmt-2019-news
+      args: eng-fin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+       - name: chr-F
+         type: chrf
+         value: 0.55882
+---
+# opus-mt-tc-bible-big-deu_eng_fra_por_spa-fiu
+
+## 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 Finno-Ugrian languages (fiu).
+
+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): chm est fin fkv hun izh koi kom kpv krl liv mdf mrj myv sma sme smn udm vep vot vro
+  - Valid Target Language Labels: >>chm<< >>est<< >>fin<< >>fit<< >>fkv<< >>fkv_Latn<< >>hun<< >>izh<< >>kca<< >>koi<< >>kom<< >>kpv<< >>krl<< >>liv<< >>liv_Latn<< >>mdf<< >>mns<< >>mrj<< >>myv<< >>olo<< >>sia<< >>sjd<< >>sje<< >>sjk<< >>sjt<< >>sju<< >>sma<< >>sme<< >>smj<< >>smn<< >>sms<< >>udm<< >>vep<< >>vot<< >>vot_Latn<< >>vro<<
+- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-fiu/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-fiu/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. `>>chm<<`
+
+## 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 = [
+    ">>chm<< Replace this with text in an accepted source language.",
+    ">>vro<< This is the second sentence."
+]
+
+model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-fiu"
+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-fiu")
+print(pipe(">>chm<< 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-fiu/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-fiu/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-fiu/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-fiu/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-est | tatoeba-test-v2021-08-07 | 0.76586 | 57.8 | 244 | 1413 |
+| deu-fin | tatoeba-test-v2021-08-07 | 0.64286 | 40.7 | 2647 | 15024 |
+| deu-hun | tatoeba-test-v2021-08-07 | 0.57007 | 31.2 | 15342 | 105152 |
+| eng-est | tatoeba-test-v2021-08-07 | 0.69134 | 50.6 | 1359 | 7992 |
+| eng-fin | tatoeba-test-v2021-08-07 | 0.62482 | 37.6 | 10690 | 65122 |
+| eng-hun | tatoeba-test-v2021-08-07 | 0.59750 | 35.9 | 13037 | 79562 |
+| fra-fin | tatoeba-test-v2021-08-07 | 0.65723 | 45.0 | 1920 | 9730 |
+| fra-hun | tatoeba-test-v2021-08-07 | 0.63096 | 40.6 | 2494 | 13753 |
+| por-fin | tatoeba-test-v2021-08-07 | 0.76811 | 58.1 | 477 | 2379 |
+| por-hun | tatoeba-test-v2021-08-07 | 0.64930 | 42.5 | 2500 | 14063 |
+| spa-fin | tatoeba-test-v2021-08-07 | 0.66220 | 43.4 | 2513 | 14131 |
+| spa-hun | tatoeba-test-v2021-08-07 | 0.63596 | 42.0 | 2500 | 14599 |
+| eng-fin | flores101-devtest | 0.57265 | 21.9 | 1012 | 18781 |
+| fra-hun | flores101-devtest | 0.52691 | 21.2 | 1012 | 22183 |
+| por-fin | flores101-devtest | 0.53772 | 18.6 | 1012 | 18781 |
+| por-hun | flores101-devtest | 0.53275 | 21.8 | 1012 | 22183 |
+| spa-est | flores101-devtest | 0.50142 | 15.2 | 1012 | 19788 |
+| spa-fin | flores101-devtest | 0.50401 | 13.7 | 1012 | 18781 |
+| deu-est | flores200-devtest | 0.55333 | 21.2 | 1012 | 19788 |
+| deu-fin | flores200-devtest | 0.54020 | 18.3 | 1012 | 18781 |
+| deu-hun | flores200-devtest | 0.53579 | 22.0 | 1012 | 22183 |
+| eng-est | flores200-devtest | 0.59496 | 26.1 | 1012 | 19788 |
+| eng-fin | flores200-devtest | 0.57811 | 23.1 | 1012 | 18781 |
+| eng-hun | flores200-devtest | 0.57670 | 26.7 | 1012 | 22183 |
+| fra-est | flores200-devtest | 0.54442 | 21.2 | 1012 | 19788 |
+| fra-fin | flores200-devtest | 0.53768 | 18.5 | 1012 | 18781 |
+| fra-hun | flores200-devtest | 0.52691 | 21.2 | 1012 | 22183 |
+| por-est | flores200-devtest | 0.48227 | 15.6 | 1012 | 19788 |
+| por-fin | flores200-devtest | 0.53772 | 18.6 | 1012 | 18781 |
+| por-hun | flores200-devtest | 0.53275 | 21.8 | 1012 | 22183 |
+| spa-est | flores200-devtest | 0.50142 | 15.2 | 1012 | 19788 |
+| spa-fin | flores200-devtest | 0.50401 | 13.7 | 1012 | 18781 |
+| spa-hun | flores200-devtest | 0.49444 | 16.4 | 1012 | 22183 |
+| deu-hun | newssyscomb2009 | 0.49607 | 18.1 | 502 | 9733 |
+| eng-hun | newssyscomb2009 | 0.50580 | 18.3 | 502 | 9733 |
+| fra-hun | newssyscomb2009 | 0.49415 | 17.8 | 502 | 9733 |
+| spa-hun | newssyscomb2009 | 0.48559 | 16.9 | 502 | 9733 |
+| deu-hun | newstest2008 | 0.48855 | 17.2 | 2051 | 41875 |
+| eng-hun | newstest2008 | 0.47636 | 15.9 | 2051 | 41875 |
+| fra-hun | newstest2008 | 0.48598 | 17.7 | 2051 | 41875 |
+| spa-hun | newstest2008 | 0.47888 | 17.1 | 2051 | 41875 |
+| deu-hun | newstest2009 | 0.48692 | 18.1 | 2525 | 54965 |
+| eng-hun | newstest2009 | 0.49507 | 18.4 | 2525 | 54965 |
+| fra-hun | newstest2009 | 0.48961 | 18.6 | 2525 | 54965 |
+| spa-hun | newstest2009 | 0.48496 | 18.1 | 2525 | 54965 |
+| eng-fin | newstest2015 | 0.56896 | 22.8 | 1370 | 19735 |
+| eng-fin | newstest2016 | 0.57934 | 24.3 | 3000 | 47678 |
+| eng-fin | newstest2017 | 0.60204 | 26.5 | 3002 | 45269 |
+| eng-est | newstest2018 | 0.56276 | 23.8 | 2000 | 36269 |
+| eng-fin | newstest2018 | 0.52953 | 17.4 | 3000 | 44836 |
+| eng-fin | newstest2019 | 0.55882 | 24.2 | 1997 | 38369 |
+| eng-fin | newstestALL2016 | 0.57934 | 24.3 | 3000 | 47678 |
+| eng-fin | newstestALL2017 | 0.60204 | 26.5 | 3002 | 45269 |
+| eng-fin | newstestB2016 | 0.54388 | 19.9 | 3000 | 45766 |
+| eng-fin | newstestB2017 | 0.56369 | 22.6 | 3002 | 45506 |
+| deu-est | ntrex128 | 0.51761 | 18.6 | 1997 | 38420 |
+| deu-fin | ntrex128 | 0.50759 | 15.5 | 1997 | 35701 |
+| deu-hun | ntrex128 | 0.46171 | 15.6 | 1997 | 44462 |
+| eng-est | ntrex128 | 0.57099 | 24.4 | 1997 | 38420 |
+| eng-fin | ntrex128 | 0.53413 | 18.5 | 1997 | 35701 |
+| eng-hun | ntrex128 | 0.47342 | 16.6 | 1997 | 44462 |
+| fra-est | ntrex128 | 0.50712 | 17.7 | 1997 | 38420 |
+| fra-fin | ntrex128 | 0.49215 | 14.2 | 1997 | 35701 |
+| fra-hun | ntrex128 | 0.44873 | 14.9 | 1997 | 44462 |
+| por-est | ntrex128 | 0.48098 | 15.1 | 1997 | 38420 |
+| por-fin | ntrex128 | 0.50875 | 15.0 | 1997 | 35701 |
+| por-hun | ntrex128 | 0.45817 | 15.5 | 1997 | 44462 |
+| spa-est | ntrex128 | 0.52158 | 18.5 | 1997 | 38420 |
+| spa-fin | ntrex128 | 0.50947 | 15.2 | 1997 | 35701 |
+| spa-hun | ntrex128 | 0.46051 | 16.1 | 1997 | 44462 |
+
+## 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 09:01:19 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,87 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.58505	32.8	10000	63462
+deu-est	flores101-devtest	0.11132	0.0	1012	19788
+deu-fin	flores101-devtest	0.11744	0.0	1012	18781
+deu-hun	flores101-devtest	0.10072	0.0	1012	22183
+eng-est	flores101-devtest	0.13248	0.0	1012	19788
+eng-fin	flores101-devtest	0.57265	21.9	1012	18781
+fra-hun	flores101-devtest	0.52691	21.2	1012	22183
+por-fin	flores101-devtest	0.53772	18.6	1012	18781
+por-hun	flores101-devtest	0.53275	21.8	1012	22183
+spa-est	flores101-devtest	0.50142	15.2	1012	19788
+spa-fin	flores101-devtest	0.50401	13.7	1012	18781
+deu-est	flores200-devtest	0.55333	21.2	1012	19788
+deu-fin	flores200-devtest	0.54020	18.3	1012	18781
+deu-hun	flores200-devtest	0.53579	22.0	1012	22183
+eng-est	flores200-devtest	0.59496	26.1	1012	19788
+eng-fin	flores200-devtest	0.57811	23.1	1012	18781
+eng-hun	flores200-devtest	0.57670	26.7	1012	22183
+fra-est	flores200-devtest	0.54442	21.2	1012	19788
+fra-fin	flores200-devtest	0.53768	18.5	1012	18781
+fra-hun	flores200-devtest	0.52691	21.2	1012	22183
+por-est	flores200-devtest	0.48227	15.6	1012	19788
+por-fin	flores200-devtest	0.53772	18.6	1012	18781
+por-hun	flores200-devtest	0.53275	21.8	1012	22183
+spa-est	flores200-devtest	0.50142	15.2	1012	19788
+spa-fin	flores200-devtest	0.50401	13.7	1012	18781
+spa-hun	flores200-devtest	0.49444	16.4	1012	22183
+deu-hun	newssyscomb2009	0.49607	18.1	502	9733
+eng-hun	newssyscomb2009	0.50580	18.3	502	9733
+fra-hun	newssyscomb2009	0.49415	17.8	502	9733
+spa-hun	newssyscomb2009	0.48559	16.9	502	9733
+deu-hun	newstest2008	0.48855	17.2	2051	41875
+eng-hun	newstest2008	0.47636	15.9	2051	41875
+fra-hun	newstest2008	0.48598	17.7	2051	41875
+spa-hun	newstest2008	0.47888	17.1	2051	41875
+deu-hun	newstest2009	0.48692	18.1	2525	54965
+eng-hun	newstest2009	0.49507	18.4	2525	54965
+fra-hun	newstest2009	0.48961	18.6	2525	54965
+spa-hun	newstest2009	0.48496	18.1	2525	54965
+eng-fin	newstest2015	0.56896	22.8	1370	19735
+eng-fin	newstest2016	0.57934	24.3	3000	47678
+eng-fin	newstest2017	0.60204	26.5	3002	45269
+eng-est	newstest2018	0.56276	23.8	2000	36269
+eng-fin	newstest2018	0.52953	17.4	3000	44836
+eng-fin	newstest2019	0.55882	24.2	1997	38369
+eng-fin	newstestALL2016	0.57934	24.3	3000	47678
+eng-fin	newstestALL2017	0.60204	26.5	3002	45269
+eng-fin	newstestB2016	0.54388	19.9	3000	45766
+eng-fin	newstestB2017	0.56369	22.6	3002	45506
+deu-est	ntrex128	0.51761	18.6	1997	38420
+deu-fin	ntrex128	0.50759	15.5	1997	35701
+deu-hun	ntrex128	0.46171	15.6	1997	44462
+eng-est	ntrex128	0.57099	24.4	1997	38420
+eng-fin	ntrex128	0.53413	18.5	1997	35701
+eng-hun	ntrex128	0.47342	16.6	1997	44462
+fra-est	ntrex128	0.50712	17.7	1997	38420
+fra-fin	ntrex128	0.49215	14.2	1997	35701
+fra-hun	ntrex128	0.44873	14.9	1997	44462
+por-est	ntrex128	0.48098	15.1	1997	38420
+por-fin	ntrex128	0.50875	15.0	1997	35701
+por-hun	ntrex128	0.45817	15.5	1997	44462
+spa-est	ntrex128	0.52158	18.5	1997	38420
+spa-fin	ntrex128	0.50947	15.2	1997	35701
+spa-hun	ntrex128	0.46051	16.1	1997	44462
+deu-est	tatoeba-test-v2020-07-28	0.75521	56.8	217	1222
+eng-fin	tatoeba-test-v2020-07-28	0.62409	37.7	10000	60517
+fra-hun	tatoeba-test-v2020-07-28	0.63130	40.7	2500	13775
+spa-fin	tatoeba-test-v2020-07-28	0.66142	43.3	2500	14057
+deu-est	tatoeba-test-v2021-03-30	0.75277	56.0	222	1250
+deu-fin	tatoeba-test-v2021-03-30	0.64132	40.6	4984	28220
+deu-hun	tatoeba-test-v2021-03-30	0.57297	31.5	12232	84799
+eng-fin	tatoeba-test-v2021-03-30	0.62443	37.7	10186	61736
+fra-fin	tatoeba-test-v2021-03-30	0.65711	45.0	1930	9764
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+por-fin	tatoeba-test-v2021-03-30	0.76823	58.2	482	2399
+spa-fin	tatoeba-test-v2021-03-30	0.66187	43.3	4999	28123
+deu-est	tatoeba-test-v2021-08-07	0.76586	57.8	244	1413
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+deu-hun	tatoeba-test-v2021-08-07	0.57007	31.2	15342	105152
+eng-est	tatoeba-test-v2021-08-07	0.69134	50.6	1359	7992
+eng-fin	tatoeba-test-v2021-08-07	0.62482	37.6	10690	65122
+eng-hun	tatoeba-test-v2021-08-07	0.59750	35.9	13037	79562
+fra-fin	tatoeba-test-v2021-08-07	0.65723	45.0	1920	9730
+fra-hun	tatoeba-test-v2021-08-07	0.63096	40.6	2494	13753
+por-fin	tatoeba-test-v2021-08-07	0.76811	58.1	477	2379
+por-hun	tatoeba-test-v2021-08-07	0.64930	42.5	2500	14063
+spa-fin	tatoeba-test-v2021-08-07	0.66220	43.4	2513	14131
+spa-hun	tatoeba-test-v2021-08-07	0.63596	42.0	2500	14599

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-fiu",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 59391,
+  "decoder_vocab_size": 59392,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 628,
+  "forced_eos_token_id": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": null,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
+  "normalize_embedding": false,
+  "num_beams": null,
+  "num_hidden_layers": 6,
+  "pad_token_id": 59391,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "use_cache": true,
+  "vocab_size": 59392
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      59391
+    ]
+  ],
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+  "decoder_start_token_id": 59391,
+  "eos_token_id": 628,
+  "forced_eos_token_id": 628,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59391,
+  "transformers_version": "4.45.1"
+}

model.safetensors

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pytorch_model.bin

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source.spm

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special_tokens_map.json

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target.spm

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tokenizer_config.json

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+{"source_lang": "deu+eng+fra+por+spa", "target_lang": "fiu", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "special_tokens_map_file": null, "name_or_path": "marian-models/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30/deu+eng+fra+por+spa-fiu", "tokenizer_class": "MarianTokenizer"}