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.gitattributes

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README.md

@@ -0,0 +1,1259 @@
+---
+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-fiu-deu_eng_fra_por_spa
+  results:
+  - task:
+      name: Translation est-deu
+      type: translation
+      args: est-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: est-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.3
+       - name: chr-F
+         type: chrf
+         value: 0.55825
+  - task:
+      name: Translation est-eng
+      type: translation
+      args: est-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: est-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.4
+       - name: chr-F
+         type: chrf
+         value: 0.62404
+  - task:
+      name: Translation est-fra
+      type: translation
+      args: est-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: est-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.7
+       - name: chr-F
+         type: chrf
+         value: 0.58580
+  - task:
+      name: Translation est-por
+      type: translation
+      args: est-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: est-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.3
+       - name: chr-F
+         type: chrf
+         value: 0.55070
+  - task:
+      name: Translation est-spa
+      type: translation
+      args: est-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: est-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.5
+       - name: chr-F
+         type: chrf
+         value: 0.50188
+  - task:
+      name: Translation fin-deu
+      type: translation
+      args: fin-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fin-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.0
+       - name: chr-F
+         type: chrf
+         value: 0.54281
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 33.1
+       - name: chr-F
+         type: chrf
+         value: 0.60642
+  - task:
+      name: Translation fin-fra
+      type: translation
+      args: fin-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fin-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.5
+       - name: chr-F
+         type: chrf
+         value: 0.57540
+  - task:
+      name: Translation fin-por
+      type: translation
+      args: fin-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fin-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.4
+       - name: chr-F
+         type: chrf
+         value: 0.55497
+  - task:
+      name: Translation fin-spa
+      type: translation
+      args: fin-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fin-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.4
+       - name: chr-F
+         type: chrf
+         value: 0.49847
+  - task:
+      name: Translation hun-deu
+      type: translation
+      args: hun-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hun-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.1
+       - name: chr-F
+         type: chrf
+         value: 0.55180
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hun-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.0
+       - name: chr-F
+         type: chrf
+         value: 0.61466
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hun-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.6
+       - name: chr-F
+         type: chrf
+         value: 0.57670
+  - task:
+      name: Translation hun-por
+      type: translation
+      args: hun-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hun-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.9
+       - name: chr-F
+         type: chrf
+         value: 0.56510
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hun-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.3
+       - name: chr-F
+         type: chrf
+         value: 0.49681
+  - task:
+      name: Translation est-deu
+      type: translation
+      args: est-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: est deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.7
+       - name: chr-F
+         type: chrf
+         value: 0.55353
+  - task:
+      name: Translation est-eng
+      type: translation
+      args: est-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: est eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.7
+       - name: chr-F
+         type: chrf
+         value: 0.61930
+  - task:
+      name: Translation est-fra
+      type: translation
+      args: est-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: est fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.3
+       - name: chr-F
+         type: chrf
+         value: 0.58199
+  - task:
+      name: Translation est-por
+      type: translation
+      args: est-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: est por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.5
+       - name: chr-F
+         type: chrf
+         value: 0.54388
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fin eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.2
+       - name: chr-F
+         type: chrf
+         value: 0.59914
+  - task:
+      name: Translation fin-por
+      type: translation
+      args: fin-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fin por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.1
+       - name: chr-F
+         type: chrf
+         value: 0.55156
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hun eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 33.5
+       - name: chr-F
+         type: chrf
+         value: 0.61198
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hun fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.8
+       - name: chr-F
+         type: chrf
+         value: 0.57776
+  - task:
+      name: Translation hun-por
+      type: translation
+      args: hun-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hun por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.4
+       - name: chr-F
+         type: chrf
+         value: 0.56263
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hun spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.7
+       - name: chr-F
+         type: chrf
+         value: 0.49140
+  - task:
+      name: Translation est-deu
+      type: translation
+      args: est-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: est-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.4
+       - name: chr-F
+         type: chrf
+         value: 0.51377
+  - task:
+      name: Translation est-eng
+      type: translation
+      args: est-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: est-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.9
+       - name: chr-F
+         type: chrf
+         value: 0.58358
+  - task:
+      name: Translation est-fra
+      type: translation
+      args: est-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: est-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.9
+       - name: chr-F
+         type: chrf
+         value: 0.52713
+  - task:
+      name: Translation est-por
+      type: translation
+      args: est-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: est-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.2
+       - name: chr-F
+         type: chrf
+         value: 0.50745
+  - task:
+      name: Translation est-spa
+      type: translation
+      args: est-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: est-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.5
+       - name: chr-F
+         type: chrf
+         value: 0.54304
+  - task:
+      name: Translation fin-deu
+      type: translation
+      args: fin-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fin-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.8
+       - name: chr-F
+         type: chrf
+         value: 0.50282
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.3
+       - name: chr-F
+         type: chrf
+         value: 0.55545
+  - task:
+      name: Translation fin-fra
+      type: translation
+      args: fin-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fin-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.9
+       - name: chr-F
+         type: chrf
+         value: 0.50946
+  - task:
+      name: Translation fin-por
+      type: translation
+      args: fin-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fin-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.3
+       - name: chr-F
+         type: chrf
+         value: 0.50404
+  - task:
+      name: Translation fin-spa
+      type: translation
+      args: fin-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fin-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.5
+       - name: chr-F
+         type: chrf
+         value: 0.52641
+  - task:
+      name: Translation hun-deu
+      type: translation
+      args: hun-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hun-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.49322
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hun-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.3
+       - name: chr-F
+         type: chrf
+         value: 0.52964
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hun-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.49800
+  - task:
+      name: Translation hun-por
+      type: translation
+      args: hun-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hun-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.5
+       - name: chr-F
+         type: chrf
+         value: 0.48941
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hun-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+       - name: chr-F
+         type: chrf
+         value: 0.51123
+  - task:
+      name: Translation est-deu
+      type: translation
+      args: est-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: est-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 53.9
+       - name: chr-F
+         type: chrf
+         value: 0.69451
+  - task:
+      name: Translation est-eng
+      type: translation
+      args: est-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: est-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 58.2
+       - name: chr-F
+         type: chrf
+         value: 0.72437
+  - task:
+      name: Translation fin-deu
+      type: translation
+      args: fin-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fin-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 47.3
+       - name: chr-F
+         type: chrf
+         value: 0.66025
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 53.7
+       - name: chr-F
+         type: chrf
+         value: 0.69685
+  - task:
+      name: Translation fin-fra
+      type: translation
+      args: fin-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fin-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.3
+       - name: chr-F
+         type: chrf
+         value: 0.65900
+  - task:
+      name: Translation fin-por
+      type: translation
+      args: fin-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fin-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 54.0
+       - name: chr-F
+         type: chrf
+         value: 0.72250
+  - task:
+      name: Translation fin-spa
+      type: translation
+      args: fin-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fin-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.1
+       - name: chr-F
+         type: chrf
+         value: 0.69600
+  - task:
+      name: Translation hun-deu
+      type: translation
+      args: hun-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hun-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 41.1
+       - name: chr-F
+         type: chrf
+         value: 0.62418
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hun-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.7
+       - name: chr-F
+         type: chrf
+         value: 0.65626
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hun-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.3
+       - name: chr-F
+         type: chrf
+         value: 0.66840
+  - task:
+      name: Translation hun-por
+      type: translation
+      args: hun-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hun-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 43.1
+       - name: chr-F
+         type: chrf
+         value: 0.65281
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hun-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.7
+       - name: chr-F
+         type: chrf
+         value: 0.67467
+  - 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: 44.6
+       - name: chr-F
+         type: chrf
+         value: 0.63895
+  - task:
+      name: Translation hun-deu
+      type: translation
+      args: hun-deu
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: hun-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.0
+       - name: chr-F
+         type: chrf
+         value: 0.50164
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: hun-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.4
+       - name: chr-F
+         type: chrf
+         value: 0.49802
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: hun-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.6
+       - name: chr-F
+         type: chrf
+         value: 0.51012
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: newstest2008
+      type: wmt-2008-news
+      args: hun-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.3
+       - name: chr-F
+         type: chrf
+         value: 0.50719
+  - task:
+      name: Translation hun-deu
+      type: translation
+      args: hun-deu
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: hun-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.49902
+  - task:
+      name: Translation hun-eng
+      type: translation
+      args: hun-eng
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: hun-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.3
+       - name: chr-F
+         type: chrf
+         value: 0.50950
+  - task:
+      name: Translation hun-fra
+      type: translation
+      args: hun-fra
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: hun-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.6
+       - name: chr-F
+         type: chrf
+         value: 0.50742
+  - task:
+      name: Translation hun-spa
+      type: translation
+      args: hun-spa
+    dataset:
+      name: newstest2009
+      type: wmt-2009-news
+      args: hun-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.2
+       - name: chr-F
+         type: chrf
+         value: 0.50788
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: newstest2015
+      type: wmt-2015-news
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.0
+       - name: chr-F
+         type: chrf
+         value: 0.55249
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: newstest2016
+      type: wmt-2016-news
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.7
+       - name: chr-F
+         type: chrf
+         value: 0.57961
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: newstest2017
+      type: wmt-2017-news
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 33.2
+       - name: chr-F
+         type: chrf
+         value: 0.59973
+  - task:
+      name: Translation est-eng
+      type: translation
+      args: est-eng
+    dataset:
+      name: newstest2018
+      type: wmt-2018-news
+      args: est-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.5
+       - name: chr-F
+         type: chrf
+         value: 0.59190
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: newstest2018
+      type: wmt-2018-news
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+       - name: chr-F
+         type: chrf
+         value: 0.52373
+  - task:
+      name: Translation fin-eng
+      type: translation
+      args: fin-eng
+    dataset:
+      name: newstest2019
+      type: wmt-2019-news
+      args: fin-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.3
+       - name: chr-F
+         type: chrf
+         value: 0.57079
+---
+# opus-mt-tc-bible-big-fiu-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 Finno-Ugrian languages (fiu) 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): chm est fin fkv hun izh koi kom kpv krl liv mdf mrj myv sma sme smn udm vep vot vro
+  - 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/fiu-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/fiu-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-fiu-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-fiu-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/fiu-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/fiu-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/fiu-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/fiu-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 |
+|----------|---------|-------|-------|-------|--------|
+| est-deu | tatoeba-test-v2021-08-07 | 0.69451 | 53.9 | 244 | 1611 |
+| est-eng | tatoeba-test-v2021-08-07 | 0.72437 | 58.2 | 1359 | 8811 |
+| fin-deu | tatoeba-test-v2021-08-07 | 0.66025 | 47.3 | 2647 | 19163 |
+| fin-eng | tatoeba-test-v2021-08-07 | 0.69685 | 53.7 | 10690 | 80552 |
+| fin-fra | tatoeba-test-v2021-08-07 | 0.65900 | 48.3 | 1920 | 12193 |
+| fin-por | tatoeba-test-v2021-08-07 | 0.72250 | 54.0 | 477 | 3021 |
+| fin-spa | tatoeba-test-v2021-08-07 | 0.69600 | 52.1 | 2513 | 16912 |
+| hun-deu | tatoeba-test-v2021-08-07 | 0.62418 | 41.1 | 15342 | 127344 |
+| hun-eng | tatoeba-test-v2021-08-07 | 0.65626 | 48.7 | 13037 | 94699 |
+| hun-fra | tatoeba-test-v2021-08-07 | 0.66840 | 50.3 | 2494 | 16914 |
+| hun-por | tatoeba-test-v2021-08-07 | 0.65281 | 43.1 | 2500 | 16563 |
+| hun-spa | tatoeba-test-v2021-08-07 | 0.67467 | 48.7 | 2500 | 16670 |
+| est-deu | flores101-devtest | 0.55353 | 25.7 | 1012 | 25094 |
+| est-eng | flores101-devtest | 0.61930 | 34.7 | 1012 | 24721 |
+| est-fra | flores101-devtest | 0.58199 | 31.3 | 1012 | 28343 |
+| est-por | flores101-devtest | 0.54388 | 26.5 | 1012 | 26519 |
+| fin-eng | flores101-devtest | 0.59914 | 32.2 | 1012 | 24721 |
+| fin-por | flores101-devtest | 0.55156 | 27.1 | 1012 | 26519 |
+| hun-eng | flores101-devtest | 0.61198 | 33.5 | 1012 | 24721 |
+| hun-fra | flores101-devtest | 0.57776 | 30.8 | 1012 | 28343 |
+| hun-por | flores101-devtest | 0.56263 | 28.4 | 1012 | 26519 |
+| hun-spa | flores101-devtest | 0.49140 | 20.7 | 1012 | 29199 |
+| est-deu | flores200-devtest | 0.55825 | 26.3 | 1012 | 25094 |
+| est-eng | flores200-devtest | 0.62404 | 35.4 | 1012 | 24721 |
+| est-fra | flores200-devtest | 0.58580 | 31.7 | 1012 | 28343 |
+| est-por | flores200-devtest | 0.55070 | 27.3 | 1012 | 26519 |
+| est-spa | flores200-devtest | 0.50188 | 21.5 | 1012 | 29199 |
+| fin-deu | flores200-devtest | 0.54281 | 24.0 | 1012 | 25094 |
+| fin-eng | flores200-devtest | 0.60642 | 33.1 | 1012 | 24721 |
+| fin-fra | flores200-devtest | 0.57540 | 30.5 | 1012 | 28343 |
+| fin-por | flores200-devtest | 0.55497 | 27.4 | 1012 | 26519 |
+| fin-spa | flores200-devtest | 0.49847 | 21.4 | 1012 | 29199 |
+| hun-deu | flores200-devtest | 0.55180 | 25.1 | 1012 | 25094 |
+| hun-eng | flores200-devtest | 0.61466 | 34.0 | 1012 | 24721 |
+| hun-fra | flores200-devtest | 0.57670 | 30.6 | 1012 | 28343 |
+| hun-por | flores200-devtest | 0.56510 | 28.9 | 1012 | 26519 |
+| hun-spa | flores200-devtest | 0.49681 | 21.3 | 1012 | 29199 |
+| hun-deu | newssyscomb2009 | 0.49819 | 17.9 | 502 | 11271 |
+| hun-eng | newssyscomb2009 | 0.52063 | 24.4 | 502 | 11818 |
+| hun-fra | newssyscomb2009 | 0.51589 | 22.0 | 502 | 12331 |
+| hun-spa | newssyscomb2009 | 0.51508 | 22.7 | 502 | 12503 |
+| hun-deu | newstest2008 | 0.50164 | 19.0 | 2051 | 47447 |
+| hun-eng | newstest2008 | 0.49802 | 20.4 | 2051 | 49380 |
+| hun-fra | newstest2008 | 0.51012 | 21.6 | 2051 | 52685 |
+| hun-spa | newstest2008 | 0.50719 | 22.3 | 2051 | 52586 |
+| hun-deu | newstest2009 | 0.49902 | 18.6 | 2525 | 62816 |
+| hun-eng | newstest2009 | 0.50950 | 22.3 | 2525 | 65399 |
+| hun-fra | newstest2009 | 0.50742 | 21.6 | 2525 | 69263 |
+| hun-spa | newstest2009 | 0.50788 | 22.2 | 2525 | 68111 |
+| fin-eng | newstest2015 | 0.55249 | 27.0 | 1370 | 27270 |
+| fin-eng | newstest2016 | 0.57961 | 30.7 | 3000 | 62945 |
+| fin-eng | newstest2017 | 0.59973 | 33.2 | 3002 | 61846 |
+| est-eng | newstest2018 | 0.59190 | 31.5 | 2000 | 45405 |
+| fin-eng | newstest2018 | 0.52373 | 24.4 | 3000 | 62325 |
+| fin-eng | newstest2019 | 0.57079 | 30.3 | 1996 | 36215 |
+| fin-eng | newstestB2017 | 0.56420 | 28.9 | 3002 | 61846 |
+| est-deu | ntrex128 | 0.51377 | 21.4 | 1997 | 48761 |
+| est-eng | ntrex128 | 0.58358 | 29.9 | 1997 | 47673 |
+| est-fra | ntrex128 | 0.52713 | 24.9 | 1997 | 53481 |
+| est-por | ntrex128 | 0.50745 | 22.2 | 1997 | 51631 |
+| est-spa | ntrex128 | 0.54304 | 27.5 | 1997 | 54107 |
+| fin-deu | ntrex128 | 0.50282 | 19.8 | 1997 | 48761 |
+| fin-eng | ntrex128 | 0.55545 | 26.3 | 1997 | 47673 |
+| fin-fra | ntrex128 | 0.50946 | 22.9 | 1997 | 53481 |
+| fin-por | ntrex128 | 0.50404 | 21.3 | 1997 | 51631 |
+| fin-spa | ntrex128 | 0.52641 | 25.5 | 1997 | 54107 |
+| hun-deu | ntrex128 | 0.49322 | 18.5 | 1997 | 48761 |
+| hun-eng | ntrex128 | 0.52964 | 23.3 | 1997 | 47673 |
+| hun-fra | ntrex128 | 0.49800 | 21.8 | 1997 | 53481 |
+| hun-por | ntrex128 | 0.48941 | 20.5 | 1997 | 51631 |
+| hun-spa | ntrex128 | 0.51123 | 24.2 | 1997 | 54107 |
+
+## Citation Information
+
+* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+
+```bibtex
+@article{tiedemann2023democratizing,
+  title={Democratizing neural machine translation with {OPUS-MT}},
+  author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
+  journal={Language Resources and Evaluation},
+  number={58},
+  pages={713--755},
+  year={2023},
+  publisher={Springer Nature},
+  issn={1574-0218},
+  doi={10.1007/s10579-023-09704-w}
+}
+
+@inproceedings{tiedemann-thottingal-2020-opus,
+    title = "{OPUS}-{MT} {--} Building open translation services for the World",
+    author = {Tiedemann, J{\"o}rg  and Thottingal, Santhosh},
+    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Lisboa, Portugal",
+    publisher = "European Association for Machine Translation",
+    url = "https://aclanthology.org/2020.eamt-1.61",
+    pages = "479--480",
+}
+
+@inproceedings{tiedemann-2020-tatoeba,
+    title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
+    author = {Tiedemann, J{\"o}rg},
+    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.wmt-1.139",
+    pages = "1174--1182",
+}
+```
+
+## Acknowledgements
+
+The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/).
+
+## Model conversion info
+
+* transformers version: 4.45.1
+* OPUS-MT git hash: 0882077
+* port time: Tue Oct  8 10:53:49 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,85 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.63895	44.6	10000	77412
+est-deu	flores101-devtest	0.55353	25.7	1012	25094
+est-eng	flores101-devtest	0.61930	34.7	1012	24721
+est-fra	flores101-devtest	0.58199	31.3	1012	28343
+est-por	flores101-devtest	0.54388	26.5	1012	26519
+fin-eng	flores101-devtest	0.59914	32.2	1012	24721
+fin-por	flores101-devtest	0.55156	27.1	1012	26519
+hun-eng	flores101-devtest	0.61198	33.5	1012	24721
+hun-fra	flores101-devtest	0.57776	30.8	1012	28343
+hun-por	flores101-devtest	0.56263	28.4	1012	26519
+hun-spa	flores101-devtest	0.49140	20.7	1012	29199
+est-deu	flores200-devtest	0.55825	26.3	1012	25094
+est-eng	flores200-devtest	0.62404	35.4	1012	24721
+est-fra	flores200-devtest	0.58580	31.7	1012	28343
+est-por	flores200-devtest	0.55070	27.3	1012	26519
+est-spa	flores200-devtest	0.50188	21.5	1012	29199
+fin-deu	flores200-devtest	0.54281	24.0	1012	25094
+fin-eng	flores200-devtest	0.60642	33.1	1012	24721
+fin-fra	flores200-devtest	0.57540	30.5	1012	28343
+fin-por	flores200-devtest	0.55497	27.4	1012	26519
+fin-spa	flores200-devtest	0.49847	21.4	1012	29199
+hun-deu	flores200-devtest	0.55180	25.1	1012	25094
+hun-eng	flores200-devtest	0.61466	34.0	1012	24721
+hun-fra	flores200-devtest	0.57670	30.6	1012	28343
+hun-por	flores200-devtest	0.56510	28.9	1012	26519
+hun-spa	flores200-devtest	0.49681	21.3	1012	29199
+hun-deu	newssyscomb2009	0.49819	17.9	502	11271
+hun-eng	newssyscomb2009	0.52063	24.4	502	11818
+hun-fra	newssyscomb2009	0.51589	22.0	502	12331
+hun-spa	newssyscomb2009	0.51508	22.7	502	12503
+hun-deu	newstest2008	0.50164	19.0	2051	47447
+hun-eng	newstest2008	0.49802	20.4	2051	49380
+hun-fra	newstest2008	0.51012	21.6	2051	52685
+hun-spa	newstest2008	0.50719	22.3	2051	52586
+hun-deu	newstest2009	0.49902	18.6	2525	62816
+hun-eng	newstest2009	0.50950	22.3	2525	65399
+hun-fra	newstest2009	0.50742	21.6	2525	69263
+hun-spa	newstest2009	0.50788	22.2	2525	68111
+fin-eng	newstest2015	0.55249	27.0	1370	27270
+fin-eng	newstest2016	0.57961	30.7	3000	62945
+fin-eng	newstest2017	0.59973	33.2	3002	61846
+est-eng	newstest2018	0.59190	31.5	2000	45405
+fin-eng	newstest2018	0.52373	24.4	3000	62325
+fin-eng	newstest2019	0.57079	30.3	1996	36215
+fin-eng	newstestB2017	0.56420	28.9	3002	61846
+est-deu	ntrex128	0.51377	21.4	1997	48761
+est-eng	ntrex128	0.58358	29.9	1997	47673
+est-fra	ntrex128	0.52713	24.9	1997	53481
+est-por	ntrex128	0.50745	22.2	1997	51631
+est-spa	ntrex128	0.54304	27.5	1997	54107
+fin-deu	ntrex128	0.50282	19.8	1997	48761
+fin-eng	ntrex128	0.55545	26.3	1997	47673
+fin-fra	ntrex128	0.50946	22.9	1997	53481
+fin-por	ntrex128	0.50404	21.3	1997	51631
+fin-spa	ntrex128	0.52641	25.5	1997	54107
+hun-deu	ntrex128	0.49322	18.5	1997	48761
+hun-eng	ntrex128	0.52964	23.3	1997	47673
+hun-fra	ntrex128	0.49800	21.8	1997	53481
+hun-por	ntrex128	0.48941	20.5	1997	51631
+hun-spa	ntrex128	0.51123	24.2	1997	54107
+est-deu	tatoeba-test-v2020-07-28	0.67936	51.8	217	1390
+fin-eng	tatoeba-test-v2020-07-28	0.69200	53.1	10000	74651
+fin-fra	tatoeba-test-v2020-07-28	0.65899	48.2	1930	12229
+fin-spa	tatoeba-test-v2020-07-28	0.69327	51.4	2500	16828
+hun-deu	tatoeba-test-v2020-07-28	0.62890	41.9	10000	81699
+hun-eng	tatoeba-test-v2020-07-28	0.67153	51.1	10000	69326
+hun-fra	tatoeba-test-v2020-07-28	0.66663	49.9	2500	16940
+fin-deu	tatoeba-test-v2021-03-30	0.65542	46.9	4984	36070
+fin-eng	tatoeba-test-v2021-03-30	0.69200	53.1	10186	76206
+fin-spa	tatoeba-test-v2021-03-30	0.69377	51.5	4999	33655
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+hun-eng	tatoeba-test-v2021-03-30	0.65658	49.0	11904	85120
+hun-fra	tatoeba-test-v2021-03-30	0.66663	49.9	2500	16940
+est-deu	tatoeba-test-v2021-08-07	0.69451	53.9	244	1611
+est-eng	tatoeba-test-v2021-08-07	0.72437	58.2	1359	8811
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+fin-eng	tatoeba-test-v2021-08-07	0.69685	53.7	10690	80552
+fin-fra	tatoeba-test-v2021-08-07	0.65900	48.3	1920	12193
+fin-por	tatoeba-test-v2021-08-07	0.72250	54.0	477	3021
+fin-spa	tatoeba-test-v2021-08-07	0.69600	52.1	2513	16912
+hun-deu	tatoeba-test-v2021-08-07	0.62418	41.1	15342	127344
+hun-eng	tatoeba-test-v2021-08-07	0.65626	48.7	13037	94699
+hun-fra	tatoeba-test-v2021-08-07	0.66840	50.3	2494	16914
+hun-por	tatoeba-test-v2021-08-07	0.65281	43.1	2500	16563
+hun-spa	tatoeba-test-v2021-08-07	0.67467	48.7	2500	16670

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-fiu-deu_eng_fra_por_spa",
+  "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": 59381,
+  "decoder_vocab_size": 59382,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 618,
+  "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": 59381,
+  "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": 59382
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      59381
+    ]
+  ],
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+  "decoder_start_token_id": 59381,
+  "eos_token_id": 618,
+  "forced_eos_token_id": 618,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59381,
+  "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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+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

target.spm

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tokenizer_config.json

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+{"source_lang": "fiu", "target_lang": "deu+eng+fra+por+spa", "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/fiu-deu+eng+fra+por+spa", "tokenizer_class": "MarianTokenizer"}