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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,1770 @@
+---
+library_name: transformers
+language:
+- da
+- de
+- en
+- es
+- fo
+- fr
+- is
+- nb
+- nn
+- no
+- non
+- pt
+- sv
+
+tags:
+- translation
+- opus-mt-tc-bible
+
+license: apache-2.0
+model-index:
+- name: opus-mt-tc-bible-big-gmq-deu_eng_fra_por_spa
+  results:
+  - task:
+      name: Translation dan-deu
+      type: translation
+      args: dan-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: dan-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.3
+       - name: chr-F
+         type: chrf
+         value: 0.60897
+  - task:
+      name: Translation dan-eng
+      type: translation
+      args: dan-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: dan-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.2
+       - name: chr-F
+         type: chrf
+         value: 0.71641
+  - task:
+      name: Translation dan-fra
+      type: translation
+      args: dan-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: dan-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 38.9
+       - name: chr-F
+         type: chrf
+         value: 0.63777
+  - task:
+      name: Translation dan-por
+      type: translation
+      args: dan-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: dan-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.7
+       - name: chr-F
+         type: chrf
+         value: 0.62302
+  - task:
+      name: Translation dan-spa
+      type: translation
+      args: dan-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: dan-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+       - name: chr-F
+         type: chrf
+         value: 0.52803
+  - task:
+      name: Translation fao-deu
+      type: translation
+      args: fao-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fao-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.0
+       - name: chr-F
+         type: chrf
+         value: 0.41184
+  - task:
+      name: Translation fao-eng
+      type: translation
+      args: fao-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fao-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.43308
+  - task:
+      name: Translation fao-fra
+      type: translation
+      args: fao-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fao-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.7
+       - name: chr-F
+         type: chrf
+         value: 0.39253
+  - task:
+      name: Translation fao-por
+      type: translation
+      args: fao-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fao-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.0
+       - name: chr-F
+         type: chrf
+         value: 0.42649
+  - task:
+      name: Translation fao-spa
+      type: translation
+      args: fao-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fao-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.38131
+  - task:
+      name: Translation isl-deu
+      type: translation
+      args: isl-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: isl-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.51165
+  - task:
+      name: Translation isl-eng
+      type: translation
+      args: isl-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: isl-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.2
+       - name: chr-F
+         type: chrf
+         value: 0.57745
+  - task:
+      name: Translation isl-fra
+      type: translation
+      args: isl-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: isl-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.6
+       - name: chr-F
+         type: chrf
+         value: 0.54210
+  - task:
+      name: Translation isl-por
+      type: translation
+      args: isl-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: isl-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.1
+       - name: chr-F
+         type: chrf
+         value: 0.52479
+  - task:
+      name: Translation isl-spa
+      type: translation
+      args: isl-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: isl-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.2
+       - name: chr-F
+         type: chrf
+         value: 0.46837
+  - task:
+      name: Translation nno-deu
+      type: translation
+      args: nno-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nno-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.2
+       - name: chr-F
+         type: chrf
+         value: 0.58054
+  - task:
+      name: Translation nno-eng
+      type: translation
+      args: nno-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nno-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 45.0
+       - name: chr-F
+         type: chrf
+         value: 0.69114
+  - task:
+      name: Translation nno-fra
+      type: translation
+      args: nno-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nno-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.0
+       - name: chr-F
+         type: chrf
+         value: 0.61334
+  - task:
+      name: Translation nno-por
+      type: translation
+      args: nno-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nno-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.1
+       - name: chr-F
+         type: chrf
+         value: 0.60055
+  - task:
+      name: Translation nno-spa
+      type: translation
+      args: nno-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nno-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.8
+       - name: chr-F
+         type: chrf
+         value: 0.51190
+  - task:
+      name: Translation nob-deu
+      type: translation
+      args: nob-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nob-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.6
+       - name: chr-F
+         type: chrf
+         value: 0.57023
+  - task:
+      name: Translation nob-eng
+      type: translation
+      args: nob-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nob-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 43.1
+       - name: chr-F
+         type: chrf
+         value: 0.67540
+  - task:
+      name: Translation nob-fra
+      type: translation
+      args: nob-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nob-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.2
+       - name: chr-F
+         type: chrf
+         value: 0.60568
+  - task:
+      name: Translation nob-por
+      type: translation
+      args: nob-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nob-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.8
+       - name: chr-F
+         type: chrf
+         value: 0.59466
+  - task:
+      name: Translation nob-spa
+      type: translation
+      args: nob-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: nob-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.4
+       - name: chr-F
+         type: chrf
+         value: 0.51138
+  - task:
+      name: Translation swe-deu
+      type: translation
+      args: swe-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: swe-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.6
+       - name: chr-F
+         type: chrf
+         value: 0.60630
+  - task:
+      name: Translation swe-eng
+      type: translation
+      args: swe-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: swe-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.1
+       - name: chr-F
+         type: chrf
+         value: 0.70584
+  - task:
+      name: Translation swe-fra
+      type: translation
+      args: swe-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: swe-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 39.1
+       - name: chr-F
+         type: chrf
+         value: 0.63608
+  - task:
+      name: Translation swe-por
+      type: translation
+      args: swe-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: swe-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.4
+       - name: chr-F
+         type: chrf
+         value: 0.62046
+  - task:
+      name: Translation swe-spa
+      type: translation
+      args: swe-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: swe-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.9
+       - name: chr-F
+         type: chrf
+         value: 0.52328
+  - task:
+      name: Translation dan-eng
+      type: translation
+      args: dan-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: dan eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 47.6
+       - name: chr-F
+         type: chrf
+         value: 0.71193
+  - task:
+      name: Translation dan-fra
+      type: translation
+      args: dan-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: dan fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 38.1
+       - name: chr-F
+         type: chrf
+         value: 0.63349
+  - task:
+      name: Translation dan-por
+      type: translation
+      args: dan-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: dan por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.2
+       - name: chr-F
+         type: chrf
+         value: 0.62063
+  - task:
+      name: Translation dan-spa
+      type: translation
+      args: dan-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: dan spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+       - name: chr-F
+         type: chrf
+         value: 0.52557
+  - task:
+      name: Translation isl-deu
+      type: translation
+      args: isl-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: isl deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.2
+       - name: chr-F
+         type: chrf
+         value: 0.50581
+  - task:
+      name: Translation isl-eng
+      type: translation
+      args: isl-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: isl eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.6
+       - name: chr-F
+         type: chrf
+         value: 0.57294
+  - task:
+      name: Translation isl-por
+      type: translation
+      args: isl-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: isl por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.8
+       - name: chr-F
+         type: chrf
+         value: 0.52192
+  - task:
+      name: Translation isl-spa
+      type: translation
+      args: isl-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: isl spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.46364
+  - task:
+      name: Translation nob-eng
+      type: translation
+      args: nob-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: nob eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.6
+       - name: chr-F
+         type: chrf
+         value: 0.67120
+  - task:
+      name: Translation nob-fra
+      type: translation
+      args: nob-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: nob fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 33.9
+       - name: chr-F
+         type: chrf
+         value: 0.60289
+  - task:
+      name: Translation nob-spa
+      type: translation
+      args: nob-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: nob spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.9
+       - name: chr-F
+         type: chrf
+         value: 0.50848
+  - task:
+      name: Translation swe-deu
+      type: translation
+      args: swe-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: swe deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.2
+       - name: chr-F
+         type: chrf
+         value: 0.60306
+  - task:
+      name: Translation swe-eng
+      type: translation
+      args: swe-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: swe eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 47.9
+       - name: chr-F
+         type: chrf
+         value: 0.70404
+  - task:
+      name: Translation swe-por
+      type: translation
+      args: swe-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: swe por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.7
+       - name: chr-F
+         type: chrf
+         value: 0.61418
+  - task:
+      name: Translation dan-deu
+      type: translation
+      args: dan-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: dan-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.3
+       - name: chr-F
+         type: chrf
+         value: 0.54229
+  - task:
+      name: Translation dan-eng
+      type: translation
+      args: dan-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: dan-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 38.7
+       - name: chr-F
+         type: chrf
+         value: 0.63083
+  - task:
+      name: Translation dan-fra
+      type: translation
+      args: dan-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: dan-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.2
+       - name: chr-F
+         type: chrf
+         value: 0.54088
+  - task:
+      name: Translation dan-por
+      type: translation
+      args: dan-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: dan-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.0
+       - name: chr-F
+         type: chrf
+         value: 0.53626
+  - task:
+      name: Translation dan-spa
+      type: translation
+      args: dan-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: dan-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.8
+       - name: chr-F
+         type: chrf
+         value: 0.56217
+  - task:
+      name: Translation fao-deu
+      type: translation
+      args: fao-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fao-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.4
+       - name: chr-F
+         type: chrf
+         value: 0.41701
+  - task:
+      name: Translation fao-eng
+      type: translation
+      args: fao-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fao-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.3
+       - name: chr-F
+         type: chrf
+         value: 0.47105
+  - task:
+      name: Translation fao-fra
+      type: translation
+      args: fao-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fao-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.3
+       - name: chr-F
+         type: chrf
+         value: 0.40070
+  - task:
+      name: Translation fao-por
+      type: translation
+      args: fao-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fao-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.0
+       - name: chr-F
+         type: chrf
+         value: 0.42005
+  - task:
+      name: Translation fao-spa
+      type: translation
+      args: fao-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fao-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.5
+       - name: chr-F
+         type: chrf
+         value: 0.44085
+  - task:
+      name: Translation isl-deu
+      type: translation
+      args: isl-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: isl-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.5
+       - name: chr-F
+         type: chrf
+         value: 0.49932
+  - task:
+      name: Translation isl-eng
+      type: translation
+      args: isl-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: isl-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.7
+       - name: chr-F
+         type: chrf
+         value: 0.56856
+  - task:
+      name: Translation isl-fra
+      type: translation
+      args: isl-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: isl-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.6
+       - name: chr-F
+         type: chrf
+         value: 0.51998
+  - task:
+      name: Translation isl-por
+      type: translation
+      args: isl-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: isl-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.7
+       - name: chr-F
+         type: chrf
+         value: 0.49903
+  - task:
+      name: Translation isl-spa
+      type: translation
+      args: isl-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: isl-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.1
+       - name: chr-F
+         type: chrf
+         value: 0.53171
+  - task:
+      name: Translation nno-deu
+      type: translation
+      args: nno-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nno-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+       - name: chr-F
+         type: chrf
+         value: 0.53000
+  - task:
+      name: Translation nno-eng
+      type: translation
+      args: nno-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nno-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.9
+       - name: chr-F
+         type: chrf
+         value: 0.65866
+  - task:
+      name: Translation nno-fra
+      type: translation
+      args: nno-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nno-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.5
+       - name: chr-F
+         type: chrf
+         value: 0.54339
+  - task:
+      name: Translation nno-por
+      type: translation
+      args: nno-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nno-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.3
+       - name: chr-F
+         type: chrf
+         value: 0.53242
+  - task:
+      name: Translation nno-spa
+      type: translation
+      args: nno-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nno-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.4
+       - name: chr-F
+         type: chrf
+         value: 0.55889
+  - task:
+      name: Translation nob-deu
+      type: translation
+      args: nob-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nob-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.8
+       - name: chr-F
+         type: chrf
+         value: 0.55549
+  - task:
+      name: Translation nob-eng
+      type: translation
+      args: nob-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nob-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 40.9
+       - name: chr-F
+         type: chrf
+         value: 0.65580
+  - task:
+      name: Translation nob-fra
+      type: translation
+      args: nob-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nob-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.2
+       - name: chr-F
+         type: chrf
+         value: 0.56187
+  - task:
+      name: Translation nob-por
+      type: translation
+      args: nob-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nob-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.6
+       - name: chr-F
+         type: chrf
+         value: 0.54392
+  - task:
+      name: Translation nob-spa
+      type: translation
+      args: nob-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: nob-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.6
+       - name: chr-F
+         type: chrf
+         value: 0.57998
+  - task:
+      name: Translation swe-deu
+      type: translation
+      args: swe-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: swe-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.7
+       - name: chr-F
+         type: chrf
+         value: 0.55549
+  - task:
+      name: Translation swe-eng
+      type: translation
+      args: swe-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: swe-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.2
+       - name: chr-F
+         type: chrf
+         value: 0.66348
+  - task:
+      name: Translation swe-fra
+      type: translation
+      args: swe-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: swe-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.0
+       - name: chr-F
+         type: chrf
+         value: 0.56310
+  - task:
+      name: Translation swe-por
+      type: translation
+      args: swe-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: swe-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.8
+       - name: chr-F
+         type: chrf
+         value: 0.54965
+  - task:
+      name: Translation swe-spa
+      type: translation
+      args: swe-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: swe-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.8
+       - name: chr-F
+         type: chrf
+         value: 0.58035
+  - task:
+      name: Translation dan-deu
+      type: translation
+      args: dan-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: dan-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 56.7
+       - name: chr-F
+         type: chrf
+         value: 0.74460
+  - task:
+      name: Translation dan-eng
+      type: translation
+      args: dan-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: dan-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 64.3
+       - name: chr-F
+         type: chrf
+         value: 0.77233
+  - task:
+      name: Translation dan-fra
+      type: translation
+      args: dan-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: dan-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 60.8
+       - name: chr-F
+         type: chrf
+         value: 0.76425
+  - task:
+      name: Translation dan-por
+      type: translation
+      args: dan-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: dan-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 60.0
+       - name: chr-F
+         type: chrf
+         value: 0.77248
+  - task:
+      name: Translation dan-spa
+      type: translation
+      args: dan-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: dan-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 54.9
+       - name: chr-F
+         type: chrf
+         value: 0.72567
+  - task:
+      name: Translation fao-eng
+      type: translation
+      args: fao-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fao-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 39.6
+       - name: chr-F
+         type: chrf
+         value: 0.54571
+  - task:
+      name: Translation isl-deu
+      type: translation
+      args: isl-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: isl-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.4
+       - name: chr-F
+         type: chrf
+         value: 0.68535
+  - task:
+      name: Translation isl-eng
+      type: translation
+      args: isl-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: isl-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.7
+       - name: chr-F
+         type: chrf
+         value: 0.67066
+  - task:
+      name: Translation isl-spa
+      type: translation
+      args: isl-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: isl-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 48.5
+       - name: chr-F
+         type: chrf
+         value: 0.65659
+  - 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: 58.2
+       - name: chr-F
+         type: chrf
+         value: 0.73325
+  - task:
+      name: Translation nno-eng
+      type: translation
+      args: nno-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nno-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.5
+       - name: chr-F
+         type: chrf
+         value: 0.69415
+  - task:
+      name: Translation nob-deu
+      type: translation
+      args: nob-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nob-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.5
+       - name: chr-F
+         type: chrf
+         value: 0.69862
+  - task:
+      name: Translation nob-eng
+      type: translation
+      args: nob-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nob-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 59.2
+       - name: chr-F
+         type: chrf
+         value: 0.72912
+  - task:
+      name: Translation nob-fra
+      type: translation
+      args: nob-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nob-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.5
+       - name: chr-F
+         type: chrf
+         value: 0.71392
+  - task:
+      name: Translation nob-spa
+      type: translation
+      args: nob-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nob-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.1
+       - name: chr-F
+         type: chrf
+         value: 0.73300
+  - task:
+      name: Translation nor-deu
+      type: translation
+      args: nor-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nor-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.7
+       - name: chr-F
+         type: chrf
+         value: 0.69923
+  - task:
+      name: Translation nor-eng
+      type: translation
+      args: nor-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nor-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 58.8
+       - name: chr-F
+         type: chrf
+         value: 0.72587
+  - task:
+      name: Translation nor-fra
+      type: translation
+      args: nor-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nor-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.1
+       - name: chr-F
+         type: chrf
+         value: 0.73052
+  - task:
+      name: Translation nor-por
+      type: translation
+      args: nor-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nor-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 45.4
+       - name: chr-F
+         type: chrf
+         value: 0.67948
+  - task:
+      name: Translation nor-spa
+      type: translation
+      args: nor-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: nor-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.3
+       - name: chr-F
+         type: chrf
+         value: 0.73320
+  - task:
+      name: Translation swe-deu
+      type: translation
+      args: swe-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: swe-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.4
+       - name: chr-F
+         type: chrf
+         value: 0.71816
+  - task:
+      name: Translation swe-eng
+      type: translation
+      args: swe-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: swe-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 64.8
+       - name: chr-F
+         type: chrf
+         value: 0.76648
+  - task:
+      name: Translation swe-fra
+      type: translation
+      args: swe-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: swe-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 57.4
+       - name: chr-F
+         type: chrf
+         value: 0.72847
+  - task:
+      name: Translation swe-por
+      type: translation
+      args: swe-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: swe-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.3
+       - name: chr-F
+         type: chrf
+         value: 0.70554
+  - task:
+      name: Translation swe-spa
+      type: translation
+      args: swe-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: swe-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 54.3
+       - name: chr-F
+         type: chrf
+         value: 0.70926
+  - task:
+      name: Translation isl-eng
+      type: translation
+      args: isl-eng
+    dataset:
+      name: newstest2021
+      type: wmt-2021-news
+      args: isl-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.4
+       - name: chr-F
+         type: chrf
+         value: 0.56364
+---
+# opus-mt-tc-bible-big-gmq-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 North Germanic languages (gmq) 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): dan fao isl nno nob non nor swe
+  - 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/gmq-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/gmq-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-gmq-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-gmq-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/gmq-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/gmq-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/gmq-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/gmq-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 |
+|----------|---------|-------|-------|-------|--------|
+| dan-deu | tatoeba-test-v2021-08-07 | 0.74460 | 56.7 | 9998 | 76055 |
+| dan-eng | tatoeba-test-v2021-08-07 | 0.77233 | 64.3 | 10795 | 79684 |
+| dan-fra | tatoeba-test-v2021-08-07 | 0.76425 | 60.8 | 1731 | 11882 |
+| dan-por | tatoeba-test-v2021-08-07 | 0.77248 | 60.0 | 873 | 5360 |
+| dan-spa | tatoeba-test-v2021-08-07 | 0.72567 | 54.9 | 5000 | 35528 |
+| fao-eng | tatoeba-test-v2021-08-07 | 0.54571 | 39.6 | 294 | 1984 |
+| isl-deu | tatoeba-test-v2021-08-07 | 0.68535 | 51.4 | 969 | 6279 |
+| isl-eng | tatoeba-test-v2021-08-07 | 0.67066 | 51.7 | 2503 | 19788 |
+| isl-spa | tatoeba-test-v2021-08-07 | 0.65659 | 48.5 | 238 | 1229 |
+| nno-eng | tatoeba-test-v2021-08-07 | 0.69415 | 55.5 | 460 | 3524 |
+| nob-deu | tatoeba-test-v2021-08-07 | 0.69862 | 50.5 | 3525 | 33592 |
+| nob-eng | tatoeba-test-v2021-08-07 | 0.72912 | 59.2 | 4539 | 36823 |
+| nob-fra | tatoeba-test-v2021-08-07 | 0.71392 | 52.5 | 323 | 2269 |
+| nob-spa | tatoeba-test-v2021-08-07 | 0.73300 | 55.1 | 885 | 6866 |
+| nor-deu | tatoeba-test-v2021-08-07 | 0.69923 | 50.7 | 3651 | 34575 |
+| nor-eng | tatoeba-test-v2021-08-07 | 0.72587 | 58.8 | 5000 | 40355 |
+| nor-fra | tatoeba-test-v2021-08-07 | 0.73052 | 55.1 | 477 | 3213 |
+| nor-por | tatoeba-test-v2021-08-07 | 0.67948 | 45.4 | 481 | 4182 |
+| nor-spa | tatoeba-test-v2021-08-07 | 0.73320 | 55.3 | 960 | 7311 |
+| swe-deu | tatoeba-test-v2021-08-07 | 0.71816 | 55.4 | 3410 | 23494 |
+| swe-eng | tatoeba-test-v2021-08-07 | 0.76648 | 64.8 | 10362 | 68513 |
+| swe-fra | tatoeba-test-v2021-08-07 | 0.72847 | 57.4 | 1407 | 9580 |
+| swe-por | tatoeba-test-v2021-08-07 | 0.70554 | 50.3 | 320 | 2032 |
+| swe-spa | tatoeba-test-v2021-08-07 | 0.70926 | 54.3 | 1351 | 8235 |
+| dan-eng | flores101-devtest | 0.71193 | 47.6 | 1012 | 24721 |
+| dan-fra | flores101-devtest | 0.63349 | 38.1 | 1012 | 28343 |
+| dan-por | flores101-devtest | 0.62063 | 36.2 | 1012 | 26519 |
+| dan-spa | flores101-devtest | 0.52557 | 24.2 | 1012 | 29199 |
+| isl-deu | flores101-devtest | 0.50581 | 22.2 | 1012 | 25094 |
+| isl-eng | flores101-devtest | 0.57294 | 31.6 | 1012 | 24721 |
+| isl-por | flores101-devtest | 0.52192 | 25.8 | 1012 | 26519 |
+| isl-spa | flores101-devtest | 0.46364 | 18.5 | 1012 | 29199 |
+| nob-eng | flores101-devtest | 0.67120 | 42.6 | 1012 | 24721 |
+| nob-fra | flores101-devtest | 0.60289 | 33.9 | 1012 | 28343 |
+| nob-spa | flores101-devtest | 0.50848 | 21.9 | 1012 | 29199 |
+| swe-deu | flores101-devtest | 0.60306 | 32.2 | 1012 | 25094 |
+| swe-eng | flores101-devtest | 0.70404 | 47.9 | 1012 | 24721 |
+| swe-por | flores101-devtest | 0.61418 | 35.7 | 1012 | 26519 |
+| dan-deu | flores200-devtest | 0.60897 | 32.3 | 1012 | 25094 |
+| dan-eng | flores200-devtest | 0.71641 | 48.2 | 1012 | 24721 |
+| dan-fra | flores200-devtest | 0.63777 | 38.9 | 1012 | 28343 |
+| dan-por | flores200-devtest | 0.62302 | 36.7 | 1012 | 26519 |
+| dan-spa | flores200-devtest | 0.52803 | 24.4 | 1012 | 29199 |
+| fao-deu | flores200-devtest | 0.41184 | 16.0 | 1012 | 25094 |
+| fao-eng | flores200-devtest | 0.43308 | 21.2 | 1012 | 24721 |
+| fao-por | flores200-devtest | 0.42649 | 19.0 | 1012 | 26519 |
+| isl-deu | flores200-devtest | 0.51165 | 22.7 | 1012 | 25094 |
+| isl-eng | flores200-devtest | 0.57745 | 32.2 | 1012 | 24721 |
+| isl-fra | flores200-devtest | 0.54210 | 27.6 | 1012 | 28343 |
+| isl-por | flores200-devtest | 0.52479 | 26.1 | 1012 | 26519 |
+| isl-spa | flores200-devtest | 0.46837 | 19.2 | 1012 | 29199 |
+| nno-deu | flores200-devtest | 0.58054 | 29.2 | 1012 | 25094 |
+| nno-eng | flores200-devtest | 0.69114 | 45.0 | 1012 | 24721 |
+| nno-fra | flores200-devtest | 0.61334 | 36.0 | 1012 | 28343 |
+| nno-por | flores200-devtest | 0.60055 | 34.1 | 1012 | 26519 |
+| nno-spa | flores200-devtest | 0.51190 | 22.8 | 1012 | 29199 |
+| nob-deu | flores200-devtest | 0.57023 | 27.6 | 1012 | 25094 |
+| nob-eng | flores200-devtest | 0.67540 | 43.1 | 1012 | 24721 |
+| nob-fra | flores200-devtest | 0.60568 | 34.2 | 1012 | 28343 |
+| nob-por | flores200-devtest | 0.59466 | 32.8 | 1012 | 26519 |
+| nob-spa | flores200-devtest | 0.51138 | 22.4 | 1012 | 29199 |
+| swe-deu | flores200-devtest | 0.60630 | 32.6 | 1012 | 25094 |
+| swe-eng | flores200-devtest | 0.70584 | 48.1 | 1012 | 24721 |
+| swe-fra | flores200-devtest | 0.63608 | 39.1 | 1012 | 28343 |
+| swe-por | flores200-devtest | 0.62046 | 36.4 | 1012 | 26519 |
+| swe-spa | flores200-devtest | 0.52328 | 23.9 | 1012 | 29199 |
+| isl-eng | newstest2021 | 0.56364 | 32.4 | 1000 | 22529 |
+| dan-deu | ntrex128 | 0.54229 | 25.3 | 1997 | 48761 |
+| dan-eng | ntrex128 | 0.63083 | 38.7 | 1997 | 47673 |
+| dan-fra | ntrex128 | 0.54088 | 26.2 | 1997 | 53481 |
+| dan-por | ntrex128 | 0.53626 | 27.0 | 1997 | 51631 |
+| dan-spa | ntrex128 | 0.56217 | 30.8 | 1997 | 54107 |
+| fao-deu | ntrex128 | 0.41701 | 16.4 | 1997 | 48761 |
+| fao-eng | ntrex128 | 0.47105 | 25.3 | 1997 | 47673 |
+| fao-fra | ntrex128 | 0.40070 | 16.3 | 1997 | 53481 |
+| fao-por | ntrex128 | 0.42005 | 18.0 | 1997 | 51631 |
+| fao-spa | ntrex128 | 0.44085 | 20.5 | 1997 | 54107 |
+| isl-deu | ntrex128 | 0.49932 | 20.5 | 1997 | 48761 |
+| isl-eng | ntrex128 | 0.56856 | 29.7 | 1997 | 47673 |
+| isl-fra | ntrex128 | 0.51998 | 24.6 | 1997 | 53481 |
+| isl-por | ntrex128 | 0.49903 | 21.7 | 1997 | 51631 |
+| isl-spa | ntrex128 | 0.53171 | 27.1 | 1997 | 54107 |
+| nno-deu | ntrex128 | 0.53000 | 24.4 | 1997 | 48761 |
+| nno-eng | ntrex128 | 0.65866 | 42.9 | 1997 | 47673 |
+| nno-fra | ntrex128 | 0.54339 | 27.5 | 1997 | 53481 |
+| nno-por | ntrex128 | 0.53242 | 26.3 | 1997 | 51631 |
+| nno-spa | ntrex128 | 0.55889 | 30.4 | 1997 | 54107 |
+| nob-deu | ntrex128 | 0.55549 | 26.8 | 1997 | 48761 |
+| nob-eng | ntrex128 | 0.65580 | 40.9 | 1997 | 47673 |
+| nob-fra | ntrex128 | 0.56187 | 29.2 | 1997 | 53481 |
+| nob-por | ntrex128 | 0.54392 | 26.6 | 1997 | 51631 |
+| nob-spa | ntrex128 | 0.57998 | 32.6 | 1997 | 54107 |
+| swe-deu | ntrex128 | 0.55549 | 26.7 | 1997 | 48761 |
+| swe-eng | ntrex128 | 0.66348 | 42.2 | 1997 | 47673 |
+| swe-fra | ntrex128 | 0.56310 | 29.0 | 1997 | 53481 |
+| swe-por | ntrex128 | 0.54965 | 27.8 | 1997 | 51631 |
+| swe-spa | ntrex128 | 0.58035 | 32.8 | 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 11:11:37 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,114 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.73325	58.2	10000	75607
+dan-eng	flores101-devtest	0.71193	47.6	1012	24721
+dan-fra	flores101-devtest	0.63349	38.1	1012	28343
+dan-por	flores101-devtest	0.62063	36.2	1012	26519
+dan-spa	flores101-devtest	0.52557	24.2	1012	29199
+isl-deu	flores101-devtest	0.50581	22.2	1012	25094
+isl-eng	flores101-devtest	0.57294	31.6	1012	24721
+isl-por	flores101-devtest	0.52192	25.8	1012	26519
+isl-spa	flores101-devtest	0.46364	18.5	1012	29199
+nob-eng	flores101-devtest	0.67120	42.6	1012	24721
+nob-fra	flores101-devtest	0.60289	33.9	1012	28343
+nob-spa	flores101-devtest	0.50848	21.9	1012	29199
+swe-deu	flores101-devtest	0.60306	32.2	1012	25094
+swe-eng	flores101-devtest	0.70404	47.9	1012	24721
+swe-por	flores101-devtest	0.61418	35.7	1012	26519
+dan-deu	flores200-devtest	0.60897	32.3	1012	25094
+dan-eng	flores200-devtest	0.71641	48.2	1012	24721
+dan-fra	flores200-devtest	0.63777	38.9	1012	28343
+dan-por	flores200-devtest	0.62302	36.7	1012	26519
+dan-spa	flores200-devtest	0.52803	24.4	1012	29199
+fao-deu	flores200-devtest	0.41184	16.0	1012	25094
+fao-eng	flores200-devtest	0.43308	21.2	1012	24721
+fao-fra	flores200-devtest	0.39253	16.7	1012	28343
+fao-por	flores200-devtest	0.42649	19.0	1012	26519
+fao-spa	flores200-devtest	0.38131	14.1	1012	29199
+isl-deu	flores200-devtest	0.51165	22.7	1012	25094
+isl-eng	flores200-devtest	0.57745	32.2	1012	24721
+isl-fra	flores200-devtest	0.54210	27.6	1012	28343
+isl-por	flores200-devtest	0.52479	26.1	1012	26519
+isl-spa	flores200-devtest	0.46837	19.2	1012	29199
+nno-deu	flores200-devtest	0.58054	29.2	1012	25094
+nno-eng	flores200-devtest	0.69114	45.0	1012	24721
+nno-fra	flores200-devtest	0.61334	36.0	1012	28343
+nno-por	flores200-devtest	0.60055	34.1	1012	26519
+nno-spa	flores200-devtest	0.51190	22.8	1012	29199
+nob-deu	flores200-devtest	0.57023	27.6	1012	25094
+nob-eng	flores200-devtest	0.67540	43.1	1012	24721
+nob-fra	flores200-devtest	0.60568	34.2	1012	28343
+nob-por	flores200-devtest	0.59466	32.8	1012	26519
+nob-spa	flores200-devtest	0.51138	22.4	1012	29199
+swe-deu	flores200-devtest	0.60630	32.6	1012	25094
+swe-eng	flores200-devtest	0.70584	48.1	1012	24721
+swe-fra	flores200-devtest	0.63608	39.1	1012	28343
+swe-por	flores200-devtest	0.62046	36.4	1012	26519
+swe-spa	flores200-devtest	0.52328	23.9	1012	29199
+isl-eng	newstest2021	0.56364	32.4	1000	22529
+dan-deu	ntrex128	0.54229	25.3	1997	48761
+dan-eng	ntrex128	0.63083	38.7	1997	47673
+dan-fra	ntrex128	0.54088	26.2	1997	53481
+dan-por	ntrex128	0.53626	27.0	1997	51631
+dan-spa	ntrex128	0.56217	30.8	1997	54107
+fao-deu	ntrex128	0.41701	16.4	1997	48761
+fao-eng	ntrex128	0.47105	25.3	1997	47673
+fao-fra	ntrex128	0.40070	16.3	1997	53481
+fao-por	ntrex128	0.42005	18.0	1997	51631
+fao-spa	ntrex128	0.44085	20.5	1997	54107
+isl-deu	ntrex128	0.49932	20.5	1997	48761
+isl-eng	ntrex128	0.56856	29.7	1997	47673
+isl-fra	ntrex128	0.51998	24.6	1997	53481
+isl-por	ntrex128	0.49903	21.7	1997	51631
+isl-spa	ntrex128	0.53171	27.1	1997	54107
+nno-deu	ntrex128	0.53000	24.4	1997	48761
+nno-eng	ntrex128	0.65866	42.9	1997	47673
+nno-fra	ntrex128	0.54339	27.5	1997	53481
+nno-por	ntrex128	0.53242	26.3	1997	51631
+nno-spa	ntrex128	0.55889	30.4	1997	54107
+nob-deu	ntrex128	0.55549	26.8	1997	48761
+nob-eng	ntrex128	0.65580	40.9	1997	47673
+nob-fra	ntrex128	0.56187	29.2	1997	53481
+nob-por	ntrex128	0.54392	26.6	1997	51631
+nob-spa	ntrex128	0.57998	32.6	1997	54107
+swe-deu	ntrex128	0.55549	26.7	1997	48761
+swe-eng	ntrex128	0.66348	42.2	1997	47673
+swe-fra	ntrex128	0.56310	29.0	1997	53481
+swe-por	ntrex128	0.54965	27.8	1997	51631
+swe-spa	ntrex128	0.58035	32.8	1997	54107
+dan-por	tatoeba-test-v2020-07-28	0.77269	59.5	871	5351
+isl-deu	tatoeba-test-v2020-07-28	0.68031	50.7	968	6265
+isl-eng	tatoeba-test-v2020-07-28	0.66455	50.9	2500	19763
+nor-fra	tatoeba-test-v2020-07-28	0.72725	54.7	476	3205
+swe-eng	tatoeba-test-v2020-07-28	0.76394	64.6	10000	66002
+swe-fra	tatoeba-test-v2020-07-28	0.72733	57.4	1409	9585
+swe-por	tatoeba-test-v2020-07-28	0.70316	50.5	299	1878
+dan-eng	tatoeba-test-v2021-03-30	0.76859	63.9	10437	76848
+isl-spa	tatoeba-test-v2021-03-30	0.66227	48.1	239	1233
+nob-spa	tatoeba-test-v2021-03-30	0.73521	55.5	894	6934
+nor-por	tatoeba-test-v2021-03-30	0.67766	44.9	487	4251
+nor-spa	tatoeba-test-v2021-03-30	0.73479	55.7	970	7387
+swe-eng	tatoeba-test-v2021-03-30	0.76410	64.6	10151	67008
+swe-por	tatoeba-test-v2021-03-30	0.70525	50.6	319	1996
+dan-deu	tatoeba-test-v2021-08-07	0.74460	56.7	9998	76055
+dan-eng	tatoeba-test-v2021-08-07	0.77233	64.3	10795	79684
+dan-fra	tatoeba-test-v2021-08-07	0.76425	60.8	1731	11882
+dan-por	tatoeba-test-v2021-08-07	0.77248	60.0	873	5360
+dan-spa	tatoeba-test-v2021-08-07	0.72567	54.9	5000	35528
+fao-eng	tatoeba-test-v2021-08-07	0.54571	39.6	294	1984
+isl-deu	tatoeba-test-v2021-08-07	0.68535	51.4	969	6279
+isl-eng	tatoeba-test-v2021-08-07	0.67066	51.7	2503	19788
+isl-spa	tatoeba-test-v2021-08-07	0.65659	48.5	238	1229
+nno-eng	tatoeba-test-v2021-08-07	0.69415	55.5	460	3524
+nob-deu	tatoeba-test-v2021-08-07	0.69862	50.5	3525	33592
+nob-eng	tatoeba-test-v2021-08-07	0.72912	59.2	4539	36823
+nob-fra	tatoeba-test-v2021-08-07	0.71392	52.5	323	2269
+nob-spa	tatoeba-test-v2021-08-07	0.73300	55.1	885	6866
+nor-deu	tatoeba-test-v2021-08-07	0.69923	50.7	3651	34575
+nor-eng	tatoeba-test-v2021-08-07	0.72587	58.8	5000	40355
+nor-fra	tatoeba-test-v2021-08-07	0.73052	55.1	477	3213
+nor-por	tatoeba-test-v2021-08-07	0.67948	45.4	481	4182
+nor-spa	tatoeba-test-v2021-08-07	0.73320	55.3	960	7311
+swe-deu	tatoeba-test-v2021-08-07	0.71816	55.4	3410	23494
+swe-eng	tatoeba-test-v2021-08-07	0.76648	64.8	10362	68513
+swe-fra	tatoeba-test-v2021-08-07	0.72847	57.4	1407	9580
+swe-por	tatoeba-test-v2021-08-07	0.70554	50.3	320	2032
+swe-spa	tatoeba-test-v2021-08-07	0.70926	54.3	1351	8235

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-gmq-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": 56159,
+  "decoder_vocab_size": 56160,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 588,
+  "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": 56159,
+  "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": 56160
+}

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      56159
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 56159,
+  "eos_token_id": 588,
+  "forced_eos_token_id": 588,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 56159,
+  "transformers_version": "4.45.1"
+}

model.safetensors

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+size 935715120

pytorch_model.bin

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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

@@ -0,0 +1 @@
+{"source_lang": "gmq", "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/gmq-deu+eng+fra+por+spa", "tokenizer_class": "MarianTokenizer"}