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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+*.spm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,1506 @@
+---
+library_name: transformers
+language:
+- anp
+- as
+- awa
+- bho
+- bn
+- bpy
+- de
+- dv
+- en
+- es
+- fr
+- gbm
+- gu
+- hi
+- hif
+- hne
+- hns
+- kok
+- ks
+- lah
+- mag
+- mai
+- mr
+- ne
+- or
+- pa
+- pi
+- pt
+- rhg
+- rmy
+- rom
+- sa
+- sd
+- si
+- skr
+- syl
+- ur
+
+tags:
+- translation
+- opus-mt-tc-bible
+
+license: apache-2.0
+model-index:
+- name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-inc
+  results:
+  - task:
+      name: Translation deu-ben
+      type: translation
+      args: deu-ben
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.3
+       - name: chr-F
+         type: chrf
+         value: 0.44696
+  - task:
+      name: Translation deu-guj
+      type: translation
+      args: deu-guj
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.0
+       - name: chr-F
+         type: chrf
+         value: 0.40939
+  - task:
+      name: Translation deu-hin
+      type: translation
+      args: deu-hin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.48864
+  - task:
+      name: Translation deu-hne
+      type: translation
+      args: deu-hne
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-hne
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.2
+       - name: chr-F
+         type: chrf
+         value: 0.43166
+  - task:
+      name: Translation deu-mag
+      type: translation
+      args: deu-mag
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-mag
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.2
+       - name: chr-F
+         type: chrf
+         value: 0.43058
+  - task:
+      name: Translation deu-pan
+      type: translation
+      args: deu-pan
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.5
+       - name: chr-F
+         type: chrf
+         value: 0.36795
+  - task:
+      name: Translation deu-urd
+      type: translation
+      args: deu-urd
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: deu-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.3
+       - name: chr-F
+         type: chrf
+         value: 0.41167
+  - task:
+      name: Translation eng-ben
+      type: translation
+      args: eng-ben
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.52088
+  - task:
+      name: Translation eng-bho
+      type: translation
+      args: eng-bho
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-bho
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.6
+       - name: chr-F
+         type: chrf
+         value: 0.37333
+  - task:
+      name: Translation eng-guj
+      type: translation
+      args: eng-guj
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.2
+       - name: chr-F
+         type: chrf
+         value: 0.54758
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.4
+       - name: chr-F
+         type: chrf
+         value: 0.58825
+  - task:
+      name: Translation eng-hne
+      type: translation
+      args: eng-hne
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-hne
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.1
+       - name: chr-F
+         type: chrf
+         value: 0.46144
+  - task:
+      name: Translation eng-mag
+      type: translation
+      args: eng-mag
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-mag
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.9
+       - name: chr-F
+         type: chrf
+         value: 0.50291
+  - task:
+      name: Translation eng-mar
+      type: translation
+      args: eng-mar
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-mar
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.6
+       - name: chr-F
+         type: chrf
+         value: 0.49344
+  - task:
+      name: Translation eng-pan
+      type: translation
+      args: eng-pan
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.4
+       - name: chr-F
+         type: chrf
+         value: 0.45635
+  - task:
+      name: Translation eng-sin
+      type: translation
+      args: eng-sin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-sin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.8
+       - name: chr-F
+         type: chrf
+         value: 0.45683
+  - task:
+      name: Translation eng-urd
+      type: translation
+      args: eng-urd
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: eng-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.6
+       - name: chr-F
+         type: chrf
+         value: 0.48224
+  - task:
+      name: Translation fra-ben
+      type: translation
+      args: fra-ben
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.1
+       - name: chr-F
+         type: chrf
+         value: 0.44486
+  - task:
+      name: Translation fra-guj
+      type: translation
+      args: fra-guj
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.2
+       - name: chr-F
+         type: chrf
+         value: 0.41021
+  - task:
+      name: Translation fra-hin
+      type: translation
+      args: fra-hin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.48632
+  - task:
+      name: Translation fra-hne
+      type: translation
+      args: fra-hne
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-hne
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.8
+       - name: chr-F
+         type: chrf
+         value: 0.42777
+  - task:
+      name: Translation fra-mag
+      type: translation
+      args: fra-mag
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-mag
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.3
+       - name: chr-F
+         type: chrf
+         value: 0.42725
+  - task:
+      name: Translation fra-pan
+      type: translation
+      args: fra-pan
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.6
+       - name: chr-F
+         type: chrf
+         value: 0.36902
+  - task:
+      name: Translation fra-urd
+      type: translation
+      args: fra-urd
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: fra-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.6
+       - name: chr-F
+         type: chrf
+         value: 0.40901
+  - task:
+      name: Translation por-ben
+      type: translation
+      args: por-ben
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.7
+       - name: chr-F
+         type: chrf
+         value: 0.43877
+  - task:
+      name: Translation por-guj
+      type: translation
+      args: por-guj
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.9
+       - name: chr-F
+         type: chrf
+         value: 0.38225
+  - task:
+      name: Translation por-hin
+      type: translation
+      args: por-hin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.9
+       - name: chr-F
+         type: chrf
+         value: 0.50121
+  - task:
+      name: Translation por-hne
+      type: translation
+      args: por-hne
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-hne
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.42270
+  - task:
+      name: Translation por-mag
+      type: translation
+      args: por-mag
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-mag
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.7
+       - name: chr-F
+         type: chrf
+         value: 0.42146
+  - task:
+      name: Translation por-urd
+      type: translation
+      args: por-urd
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: por-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.5
+       - name: chr-F
+         type: chrf
+         value: 0.41225
+  - task:
+      name: Translation spa-hin
+      type: translation
+      args: spa-hin
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.4
+       - name: chr-F
+         type: chrf
+         value: 0.43977
+  - task:
+      name: Translation spa-hne
+      type: translation
+      args: spa-hne
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-hne
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.8
+       - name: chr-F
+         type: chrf
+         value: 0.39555
+  - task:
+      name: Translation spa-mag
+      type: translation
+      args: spa-mag
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-mag
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.1
+       - name: chr-F
+         type: chrf
+         value: 0.39621
+  - task:
+      name: Translation spa-urd
+      type: translation
+      args: spa-urd
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: spa-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.8
+       - name: chr-F
+         type: chrf
+         value: 0.37993
+  - task:
+      name: Translation deu-ben
+      type: translation
+      args: deu-ben
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: deu ben devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.8
+       - name: chr-F
+         type: chrf
+         value: 0.44269
+  - task:
+      name: Translation deu-hin
+      type: translation
+      args: deu-hin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: deu hin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.9
+       - name: chr-F
+         type: chrf
+         value: 0.48314
+  - task:
+      name: Translation eng-ben
+      type: translation
+      args: eng-ben
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: eng ben devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.4
+       - name: chr-F
+         type: chrf
+         value: 0.51768
+  - task:
+      name: Translation eng-guj
+      type: translation
+      args: eng-guj
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: eng guj devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.54325
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: eng hin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.1
+       - name: chr-F
+         type: chrf
+         value: 0.58472
+  - task:
+      name: Translation fra-ben
+      type: translation
+      args: fra-ben
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fra ben devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.1
+       - name: chr-F
+         type: chrf
+         value: 0.44304
+  - task:
+      name: Translation fra-hin
+      type: translation
+      args: fra-hin
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fra hin devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.5
+       - name: chr-F
+         type: chrf
+         value: 0.48245
+  - task:
+      name: Translation deu-hin
+      type: translation
+      args: deu-hin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.0
+       - name: chr-F
+         type: chrf
+         value: 0.43252
+  - task:
+      name: Translation deu-pan
+      type: translation
+      args: deu-pan
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.2
+       - name: chr-F
+         type: chrf
+         value: 0.36448
+  - task:
+      name: Translation deu-urd
+      type: translation
+      args: deu-urd
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: deu-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.8
+       - name: chr-F
+         type: chrf
+         value: 0.41844
+  - task:
+      name: Translation eng-ben
+      type: translation
+      args: eng-ben
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.3
+       - name: chr-F
+         type: chrf
+         value: 0.52381
+  - task:
+      name: Translation eng-guj
+      type: translation
+      args: eng-guj
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.2
+       - name: chr-F
+         type: chrf
+         value: 0.49386
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.4
+       - name: chr-F
+         type: chrf
+         value: 0.52696
+  - task:
+      name: Translation eng-mar
+      type: translation
+      args: eng-mar
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-mar
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.8
+       - name: chr-F
+         type: chrf
+         value: 0.45244
+  - task:
+      name: Translation eng-pan
+      type: translation
+      args: eng-pan
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.5
+       - name: chr-F
+         type: chrf
+         value: 0.46534
+  - task:
+      name: Translation eng-sin
+      type: translation
+      args: eng-sin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-sin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.5
+       - name: chr-F
+         type: chrf
+         value: 0.44124
+  - task:
+      name: Translation eng-urd
+      type: translation
+      args: eng-urd
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: eng-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.4
+       - name: chr-F
+         type: chrf
+         value: 0.50060
+  - task:
+      name: Translation fra-hin
+      type: translation
+      args: fra-hin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fra-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.4
+       - name: chr-F
+         type: chrf
+         value: 0.42777
+  - task:
+      name: Translation fra-urd
+      type: translation
+      args: fra-urd
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fra-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.3
+       - name: chr-F
+         type: chrf
+         value: 0.41229
+  - task:
+      name: Translation por-ben
+      type: translation
+      args: por-ben
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.1
+       - name: chr-F
+         type: chrf
+         value: 0.44134
+  - task:
+      name: Translation por-hin
+      type: translation
+      args: por-hin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.43461
+  - task:
+      name: Translation por-urd
+      type: translation
+      args: por-urd
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: por-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.5
+       - name: chr-F
+         type: chrf
+         value: 0.41777
+  - task:
+      name: Translation spa-ben
+      type: translation
+      args: spa-ben
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.6
+       - name: chr-F
+         type: chrf
+         value: 0.45329
+  - task:
+      name: Translation spa-hin
+      type: translation
+      args: spa-hin
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.9
+       - name: chr-F
+         type: chrf
+         value: 0.43747
+  - task:
+      name: Translation spa-pan
+      type: translation
+      args: spa-pan
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-pan
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.2
+       - name: chr-F
+         type: chrf
+         value: 0.36716
+  - task:
+      name: Translation spa-urd
+      type: translation
+      args: spa-urd
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: spa-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.6
+       - name: chr-F
+         type: chrf
+         value: 0.41929
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: eng-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.1
+       - name: chr-F
+         type: chrf
+         value: 0.52587
+  - task:
+      name: Translation eng-mar
+      type: translation
+      args: eng-mar
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: eng-mar
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+       - name: chr-F
+         type: chrf
+         value: 0.52516
+  - 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: 21.9
+       - name: chr-F
+         type: chrf
+         value: 0.49252
+  - task:
+      name: Translation eng-ben
+      type: translation
+      args: eng-ben
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: eng-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.51850
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: eng-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 41.9
+       - name: chr-F
+         type: chrf
+         value: 0.62999
+  - task:
+      name: Translation eng-mar
+      type: translation
+      args: eng-mar
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: eng-mar
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.0
+       - name: chr-F
+         type: chrf
+         value: 0.45968
+  - task:
+      name: Translation eng-nep
+      type: translation
+      args: eng-nep
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: eng-nep
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.7
+       - name: chr-F
+         type: chrf
+         value: 0.54373
+  - task:
+      name: Translation eng-urd
+      type: translation
+      args: eng-urd
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: eng-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.7
+       - name: chr-F
+         type: chrf
+         value: 0.50920
+  - task:
+      name: Translation fra-hin
+      type: translation
+      args: fra-hin
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fra-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.6
+       - name: chr-F
+         type: chrf
+         value: 0.48666
+  - task:
+      name: Translation fra-nep
+      type: translation
+      args: fra-nep
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fra-nep
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.0
+       - name: chr-F
+         type: chrf
+         value: 0.41414
+  - task:
+      name: Translation fra-urd
+      type: translation
+      args: fra-urd
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fra-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.4
+       - name: chr-F
+         type: chrf
+         value: 0.39479
+  - task:
+      name: Translation por-ben
+      type: translation
+      args: por-ben
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: por-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.7
+       - name: chr-F
+         type: chrf
+         value: 0.45609
+  - task:
+      name: Translation por-hin
+      type: translation
+      args: por-hin
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: por-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.2
+       - name: chr-F
+         type: chrf
+         value: 0.55530
+  - task:
+      name: Translation por-nep
+      type: translation
+      args: por-nep
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: por-nep
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.4
+       - name: chr-F
+         type: chrf
+         value: 0.47698
+  - task:
+      name: Translation por-urd
+      type: translation
+      args: por-urd
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: por-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.6
+       - name: chr-F
+         type: chrf
+         value: 0.44747
+  - task:
+      name: Translation spa-ben
+      type: translation
+      args: spa-ben
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: spa-ben
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.3
+       - name: chr-F
+         type: chrf
+         value: 0.46418
+  - task:
+      name: Translation spa-hin
+      type: translation
+      args: spa-hin
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: spa-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.0
+       - name: chr-F
+         type: chrf
+         value: 0.55526
+  - task:
+      name: Translation spa-mar
+      type: translation
+      args: spa-mar
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: spa-mar
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.0
+       - name: chr-F
+         type: chrf
+         value: 0.41189
+  - task:
+      name: Translation spa-nep
+      type: translation
+      args: spa-nep
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: spa-nep
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.1
+       - name: chr-F
+         type: chrf
+         value: 0.47414
+  - task:
+      name: Translation spa-urd
+      type: translation
+      args: spa-urd
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: spa-urd
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.6
+       - name: chr-F
+         type: chrf
+         value: 0.44788
+  - task:
+      name: Translation eng-hin
+      type: translation
+      args: eng-hin
+    dataset:
+      name: newstest2014
+      type: wmt-2014-news
+      args: eng-hin
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.0
+       - name: chr-F
+         type: chrf
+         value: 0.51541
+  - task:
+      name: Translation eng-guj
+      type: translation
+      args: eng-guj
+    dataset:
+      name: newstest2019
+      type: wmt-2019-news
+      args: eng-guj
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.7
+       - name: chr-F
+         type: chrf
+         value: 0.57815
+---
+# opus-mt-tc-bible-big-deu_eng_fra_por_spa-inc
+
+## Table of Contents
+- [Model Details](#model-details)
+- [Uses](#uses)
+- [Risks, Limitations and Biases](#risks-limitations-and-biases)
+- [How to Get Started With the Model](#how-to-get-started-with-the-model)
+- [Training](#training)
+- [Evaluation](#evaluation)
+- [Citation Information](#citation-information)
+- [Acknowledgements](#acknowledgements)
+
+## Model Details
+
+Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to Indic languages (inc).
+
+This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
+**Model Description:**
+- **Developed by:** Language Technology Research Group at the University of Helsinki
+- **Model Type:** Translation (transformer-big)
+- **Release**: 2024-05-30
+- **License:** Apache-2.0
+- **Language(s):**  
+  - Source Language(s): deu eng fra por spa
+  - Target Language(s): anp asm awa ben bho bpy div dty gbm guj hif hin hne hns kas kok lah mag mai mar nep npi ori pan pli rhg rmy rom san sin skr snd syl urd
+  - Valid Target Language Labels: >>aee<< >>aeq<< >>anp<< >>anr<< >>asm<< >>awa<< >>bdv<< >>ben<< >>bfb<< >>bfy<< >>bfz<< >>bgc<< >>bgd<< >>bge<< >>bgw<< >>bha<< >>bhb<< >>bhd<< >>bhe<< >>bhi<< >>bho<< >>bht<< >>bhu<< >>bjj<< >>bkk<< >>bmj<< >>bns<< >>bpx<< >>bpy<< >>bra<< >>btv<< >>ccp<< >>cdh<< >>cdi<< >>cdj<< >>cih<< >>clh<< >>ctg<< >>dcc<< >>dhn<< >>dho<< >>div<< >>dmk<< >>dml<< >>doi<< >>dry<< >>dty<< >>dub<< >>duh<< >>dwz<< >>emx<< >>gas<< >>gbk<< >>gbl<< >>gbm<< >>gdx<< >>ggg<< >>ghr<< >>gig<< >>gjk<< >>glh<< >>gra<< >>guj<< >>gwc<< >>gwf<< >>gwt<< >>haj<< >>hca<< >>hif<< >>hif_Latn<< >>hii<< >>hin<< >>hin_Latn<< >>hlb<< >>hne<< >>hns<< >>jdg<< >>jml<< >>jnd<< >>jns<< >>kas<< >>kas_Arab<< >>kas_Deva<< >>kbu<< >>keq<< >>key<< >>kfr<< >>kfs<< >>kft<< >>kfu<< >>kfv<< >>kfx<< >>kfy<< >>khn<< >>khw<< >>kjo<< >>kls<< >>kok<< >>kra<< >>ksy<< >>kvx<< >>kxp<< >>kyw<< >>lah<< >>lbm<< >>lhl<< >>lmn<< >>lss<< >>luv<< >>mag<< >>mai<< >>mar<< >>mby<< >>mjl<< >>mjz<< >>mkb<< >>mke<< >>mki<< >>mvy<< >>mwr<< >>nag<< >>nep<< >>nhh<< >>nli<< >>nlx<< >>noe<< >>noi<< >>npi<< >>odk<< >>omr<< >>ori<< >>ort<< >>pan<< >>pan_Guru<< >>paq<< >>pcl<< >>pgg<< >>phd<< >>phl<< >>pli<< >>plk<< >>plp<< >>pmh<< >>psh<< >>psi<< >>psu<< >>pwr<< >>raj<< >>rei<< >>rhg<< >>rhg_Latn<< >>rjs<< >>rkt<< >>rmi<< >>rmq<< >>rmt<< >>rmy<< >>rom<< >>rtw<< >>san<< >>san_Deva<< >>saz<< >>sbn<< >>sck<< >>scl<< >>sdg<< >>sdr<< >>shd<< >>sin<< >>sjp<< >>skr<< >>smm<< >>smv<< >>snd<< >>snd_Arab<< >>soi<< >>srx<< >>ssi<< >>sts<< >>syl<< >>syl_Sylo<< >>tdb<< >>the<< >>thl<< >>thq<< >>thr<< >>tkb<< >>tkt<< >>tnv<< >>tra<< >>trw<< >>urd<< >>ush<< >>vaa<< >>vah<< >>vas<< >>vav<< >>ved<< >>vgr<< >>wsv<< >>wtm<< >>xka<< >>xxx<<
+- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-inc/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
+- **Resources for more information:**
+  -  [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-inc/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. `>>anp<<`
+
+## 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 = [
+    ">>anp<< Replace this with text in an accepted source language.",
+    ">>urd<< This is the second sentence."
+]
+
+model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-inc"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
+
+for t in translated:
+    print( tokenizer.decode(t, skip_special_tokens=True) )
+```
+
+You can also use OPUS-MT models with the transformers pipelines, for example:
+
+```python
+from transformers import pipeline
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-inc")
+print(pipe(">>anp<< Replace this with text in an accepted source language."))
+```
+
+## Training
+
+- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
+- **Pre-processing**: SentencePiece (spm32k,spm32k)
+- **Model Type:**  transformer-big
+- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-inc/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
+- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+
+## Evaluation
+
+* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-inc/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
+* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-inc/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt)
+* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-inc/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt)
+* benchmark results: [benchmark_results.txt](benchmark_results.txt)
+* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
+
+| langpair | testset | chr-F | BLEU  | #sent | #words |
+|----------|---------|-------|-------|-------|--------|
+| eng-ben | tatoeba-test-v2021-08-07 | 0.48316 | 18.1 | 2500 | 11654 |
+| eng-hin | tatoeba-test-v2021-08-07 | 0.52587 | 28.1 | 5000 | 32904 |
+| eng-mar | tatoeba-test-v2021-08-07 | 0.52516 | 24.2 | 10396 | 61140 |
+| eng-urd | tatoeba-test-v2021-08-07 | 0.46228 | 18.8 | 1663 | 12155 |
+| deu-ben | flores101-devtest | 0.44269 | 10.8 | 1012 | 21155 |
+| deu-hin | flores101-devtest | 0.48314 | 21.9 | 1012 | 27743 |
+| eng-ben | flores101-devtest | 0.51768 | 17.4 | 1012 | 21155 |
+| eng-guj | flores101-devtest | 0.54325 | 22.7 | 1012 | 23840 |
+| eng-hin | flores101-devtest | 0.58472 | 34.1 | 1012 | 27743 |
+| fra-ben | flores101-devtest | 0.44304 | 11.1 | 1012 | 21155 |
+| fra-hin | flores101-devtest | 0.48245 | 22.5 | 1012 | 27743 |
+| deu-ben | flores200-devtest | 0.44696 | 11.3 | 1012 | 21155 |
+| deu-guj | flores200-devtest | 0.40939 | 12.0 | 1012 | 23840 |
+| deu-hin | flores200-devtest | 0.48864 | 22.7 | 1012 | 27743 |
+| deu-hne | flores200-devtest | 0.43166 | 14.2 | 1012 | 26582 |
+| deu-mag | flores200-devtest | 0.43058 | 14.2 | 1012 | 26516 |
+| deu-urd | flores200-devtest | 0.41167 | 14.3 | 1012 | 28098 |
+| eng-ben | flores200-devtest | 0.52088 | 17.7 | 1012 | 21155 |
+| eng-guj | flores200-devtest | 0.54758 | 23.2 | 1012 | 23840 |
+| eng-hin | flores200-devtest | 0.58825 | 34.4 | 1012 | 27743 |
+| eng-hne | flores200-devtest | 0.46144 | 19.1 | 1012 | 26582 |
+| eng-mag | flores200-devtest | 0.50291 | 21.9 | 1012 | 26516 |
+| eng-mar | flores200-devtest | 0.49344 | 15.6 | 1012 | 21810 |
+| eng-pan | flores200-devtest | 0.45635 | 18.4 | 1012 | 27451 |
+| eng-sin | flores200-devtest | 0.45683 | 11.8 | 1012 | 23278 |
+| eng-urd | flores200-devtest | 0.48224 | 20.6 | 1012 | 28098 |
+| fra-ben | flores200-devtest | 0.44486 | 11.1 | 1012 | 21155 |
+| fra-guj | flores200-devtest | 0.41021 | 12.2 | 1012 | 23840 |
+| fra-hin | flores200-devtest | 0.48632 | 22.7 | 1012 | 27743 |
+| fra-hne | flores200-devtest | 0.42777 | 13.8 | 1012 | 26582 |
+| fra-mag | flores200-devtest | 0.42725 | 14.3 | 1012 | 26516 |
+| fra-urd | flores200-devtest | 0.40901 | 13.6 | 1012 | 28098 |
+| por-ben | flores200-devtest | 0.43877 | 10.7 | 1012 | 21155 |
+| por-hin | flores200-devtest | 0.50121 | 23.9 | 1012 | 27743 |
+| por-hne | flores200-devtest | 0.42270 | 14.1 | 1012 | 26582 |
+| por-mag | flores200-devtest | 0.42146 | 13.7 | 1012 | 26516 |
+| por-san | flores200-devtest | 9.879 | 0.4 | 1012 | 18253 |
+| por-urd | flores200-devtest | 0.41225 | 14.5 | 1012 | 28098 |
+| spa-ben | flores200-devtest | 0.42040 | 8.8 | 1012 | 21155 |
+| spa-hin | flores200-devtest | 0.43977 | 16.4 | 1012 | 27743 |
+| eng-hin | newstest2014 | 0.51541 | 24.0 | 2507 | 60872 |
+| eng-guj | newstest2019 | 0.57815 | 25.7 | 998 | 21924 |
+| deu-ben | ntrex128 | 0.44384 | 9.9 | 1997 | 40095 |
+| deu-hin | ntrex128 | 0.43252 | 17.0 | 1997 | 55219 |
+| deu-urd | ntrex128 | 0.41844 | 14.8 | 1997 | 54259 |
+| eng-ben | ntrex128 | 0.52381 | 17.3 | 1997 | 40095 |
+| eng-guj | ntrex128 | 0.49386 | 17.2 | 1997 | 45335 |
+| eng-hin | ntrex128 | 0.52696 | 27.4 | 1997 | 55219 |
+| eng-mar | ntrex128 | 0.45244 | 10.8 | 1997 | 42375 |
+| eng-nep | ntrex128 | 0.43339 | 8.8 | 1997 | 40570 |
+| eng-pan | ntrex128 | 0.46534 | 19.5 | 1997 | 54355 |
+| eng-sin | ntrex128 | 0.44124 | 10.5 | 1997 | 44429 |
+| eng-urd | ntrex128 | 0.50060 | 22.4 | 1997 | 54259 |
+| fra-ben | ntrex128 | 0.42857 | 9.4 | 1997 | 40095 |
+| fra-hin | ntrex128 | 0.42777 | 17.4 | 1997 | 55219 |
+| fra-urd | ntrex128 | 0.41229 | 14.3 | 1997 | 54259 |
+| por-ben | ntrex128 | 0.44134 | 10.1 | 1997 | 40095 |
+| por-hin | ntrex128 | 0.43461 | 17.7 | 1997 | 55219 |
+| por-urd | ntrex128 | 0.41777 | 14.5 | 1997 | 54259 |
+| spa-ben | ntrex128 | 0.45329 | 10.6 | 1997 | 40095 |
+| spa-hin | ntrex128 | 0.43747 | 17.9 | 1997 | 55219 |
+| spa-urd | ntrex128 | 0.41929 | 14.6 | 1997 | 54259 |
+| eng-ben | tico19-test | 0.51850 | 18.6 | 2100 | 51695 |
+| eng-hin | tico19-test | 0.62999 | 41.9 | 2100 | 62680 |
+| eng-mar | tico19-test | 0.45968 | 13.0 | 2100 | 50872 |
+| eng-nep | tico19-test | 0.54373 | 18.7 | 2100 | 48363 |
+| eng-urd | tico19-test | 0.50920 | 21.7 | 2100 | 65312 |
+| fra-hin | tico19-test | 0.48666 | 25.6 | 2100 | 62680 |
+| fra-nep | tico19-test | 0.41414 | 10.0 | 2100 | 48363 |
+| por-ben | tico19-test | 0.45609 | 12.7 | 2100 | 51695 |
+| por-hin | tico19-test | 0.55530 | 31.2 | 2100 | 62680 |
+| por-mar | tico19-test | 0.40344 | 9.7 | 2100 | 50872 |
+| por-nep | tico19-test | 0.47698 | 12.4 | 2100 | 48363 |
+| por-urd | tico19-test | 0.44747 | 15.6 | 2100 | 65312 |
+| spa-ben | tico19-test | 0.46418 | 13.3 | 2100 | 51695 |
+| spa-hin | tico19-test | 0.55526 | 31.0 | 2100 | 62680 |
+| spa-mar | tico19-test | 0.41189 | 10.0 | 2100 | 50872 |
+| spa-nep | tico19-test | 0.47414 | 12.1 | 2100 | 48363 |
+| spa-urd | tico19-test | 0.44788 | 15.6 | 2100 | 65312 |
+
+## 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 10:09:07 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,176 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.49252	21.9	10000	60042
+deu-ben	flores101-devtest	0.44269	10.8	1012	21155
+deu-hin	flores101-devtest	0.48314	21.9	1012	27743
+deu-mar	flores101-devtest	0.39479	9.2	1012	21810
+deu-npi	flores101-devtest	0.15099	0.2	1012	19762
+eng-ben	flores101-devtest	0.51768	17.4	1012	21155
+eng-guj	flores101-devtest	0.54325	22.7	1012	23840
+eng-hin	flores101-devtest	0.58472	34.1	1012	27743
+fra-ben	flores101-devtest	0.44304	11.1	1012	21155
+fra-hin	flores101-devtest	0.48245	22.5	1012	27743
+fra-npi	flores101-devtest	0.12216	0.2	1012	19762
+spa-guj	flores101-devtest	0.37550	8.3	1012	23840
+deu-asm	flores200-devtest	0.23161	2.6	1012	21028
+deu-awa	flores200-devtest	0.26194	5.0	1012	26642
+deu-ben	flores200-devtest	0.44696	11.3	1012	21155
+deu-bho	flores200-devtest	0.34690	8.8	1012	27914
+deu-guj	flores200-devtest	0.40939	12.0	1012	23840
+deu-hin	flores200-devtest	0.48864	22.7	1012	27743
+deu-hne	flores200-devtest	0.43166	14.2	1012	26582
+deu-kas_Arab	flores200-devtest	0.16579	0.5	1012	23514
+deu-kas_Deva	flores200-devtest	0.12989	0.6	1012	26371
+deu-mag	flores200-devtest	0.43058	14.2	1012	26516
+deu-mai	flores200-devtest	0.38967	8.1	1012	25999
+deu-mar	flores200-devtest	0.39856	9.3	1012	21810
+deu-npi	flores200-devtest	0.12740	0.2	1012	19762
+deu-pan	flores200-devtest	0.36795	10.5	1012	27451
+deu-san	flores200-devtest	0.12652	0.5	1012	18253
+deu-sin	flores200-devtest	0.37977	7.2	1012	23278
+deu-urd	flores200-devtest	0.41167	14.3	1012	28098
+eng-asm	flores200-devtest	0.36298	6.1	1012	21028
+eng-awa	flores200-devtest	0.17420	2.7	1012	26642
+eng-ben	flores200-devtest	0.52088	17.7	1012	21155
+eng-bho	flores200-devtest	0.37333	11.6	1012	27914
+eng-guj	flores200-devtest	0.54758	23.2	1012	23840
+eng-hin	flores200-devtest	0.58825	34.4	1012	27743
+eng-hne	flores200-devtest	0.46144	19.1	1012	26582
+eng-kas_Arab	flores200-devtest	0.12804	0.5	1012	23514
+eng-kas_Deva	flores200-devtest	0.14226	1.0	1012	26371
+eng-mag	flores200-devtest	0.50291	21.9	1012	26516
+eng-mai	flores200-devtest	0.39362	9.7	1012	25999
+eng-mar	flores200-devtest	0.49344	15.6	1012	21810
+eng-npi	flores200-devtest	0.18868	0.3	1012	19762
+eng-pan	flores200-devtest	0.45635	18.4	1012	27451
+eng-san	flores200-devtest	0.13260	0.8	1012	18253
+eng-sin	flores200-devtest	0.45683	11.8	1012	23278
+eng-urd	flores200-devtest	0.48224	20.6	1012	28098
+fra-asm	flores200-devtest	0.24043	2.7	1012	21028
+fra-awa	flores200-devtest	0.26156	4.9	1012	26642
+fra-ben	flores200-devtest	0.44486	11.1	1012	21155
+fra-bho	flores200-devtest	0.34441	9.0	1012	27914
+fra-guj	flores200-devtest	0.41021	12.2	1012	23840
+fra-hin	flores200-devtest	0.48632	22.7	1012	27743
+fra-hne	flores200-devtest	0.42777	13.8	1012	26582
+fra-kas_Arab	flores200-devtest	0.16142	0.4	1012	23514
+fra-kas_Deva	flores200-devtest	0.12849	0.7	1012	26371
+fra-mag	flores200-devtest	0.42725	14.3	1012	26516
+fra-mai	flores200-devtest	0.39179	8.5	1012	25999
+fra-mar	flores200-devtest	0.38985	9.5	1012	21810
+fra-npi	flores200-devtest	0.12358	0.1	1012	19762
+fra-pan	flores200-devtest	0.36902	10.6	1012	27451
+fra-san	flores200-devtest	0.10558	0.3	1012	18253
+fra-sin	flores200-devtest	0.38581	7.3	1012	23278
+fra-urd	flores200-devtest	0.40901	13.6	1012	28098
+por-asm	flores200-devtest	0.25566	3.1	1012	21028
+por-awa	flores200-devtest	0.23673	4.0	1012	26642
+por-ben	flores200-devtest	0.43877	10.7	1012	21155
+por-bho	flores200-devtest	0.34736	9.2	1012	27914
+por-guj	flores200-devtest	0.38225	10.9	1012	23840
+por-hin	flores200-devtest	0.50121	23.9	1012	27743
+por-hne	flores200-devtest	0.42270	14.1	1012	26582
+por-kas_Arab	flores200-devtest	0.15653	0.4	1012	23514
+por-kas_Deva	flores200-devtest	0.12836	0.7	1012	26371
+por-mag	flores200-devtest	0.42146	13.7	1012	26516
+por-mai	flores200-devtest	0.38341	7.7	1012	25999
+por-mar	flores200-devtest	0.37814	8.6	1012	21810
+por-npi	flores200-devtest	0.12482	0.1	1012	19762
+por-pan	flores200-devtest	0.34711	9.2	1012	27451
+por-san	flores200-devtest	9.879	0.4	1012	18253
+por-sin	flores200-devtest	0.38140	7.4	1012	23278
+por-urd	flores200-devtest	0.41225	14.5	1012	28098
+spa-asm	flores200-devtest	0.24228	2.1	1012	21028
+spa-awa	flores200-devtest	0.24287	3.8	1012	26642
+spa-ben	flores200-devtest	0.42040	8.8	1012	21155
+spa-bho	flores200-devtest	0.33628	8.0	1012	27914
+spa-guj	flores200-devtest	0.37414	8.1	1012	23840
+spa-hin	flores200-devtest	0.43977	16.4	1012	27743
+spa-hne	flores200-devtest	0.39555	10.8	1012	26582
+spa-kas_Arab	flores200-devtest	0.15572	0.4	1012	23514
+spa-kas_Deva	flores200-devtest	0.12956	0.6	1012	26371
+spa-mag	flores200-devtest	0.39621	11.1	1012	26516
+spa-mai	flores200-devtest	0.36462	6.4	1012	25999
+spa-mar	flores200-devtest	0.35370	6.5	1012	21810
+spa-npi	flores200-devtest	0.12237	0.1	1012	19762
+spa-pan	flores200-devtest	0.33808	7.6	1012	27451
+spa-san	flores200-devtest	0.11964	0.3	1012	18253
+spa-sin	flores200-devtest	0.36322	5.9	1012	23278
+spa-urd	flores200-devtest	0.37993	10.8	1012	28098
+eng-hin	newstest2014	0.51541	24.0	2507	60872
+eng-guj	newstest2019	0.57815	25.7	998	21924
+deu-ben	ntrex128	0.44384	9.9	1997	40095
+deu-div	ntrex128	0.18948	0.0	1997	37802
+deu-guj	ntrex128	0.38060	8.8	1997	45335
+deu-hin	ntrex128	0.43252	17.0	1997	55219
+deu-mar	ntrex128	0.36605	6.3	1997	42375
+deu-nep	ntrex128	0.36728	5.4	1997	40570
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+spa-nep	tico19-test	0.47414	12.1	2100	48363
+spa-urd	tico19-test	0.44788	15.6	2100	65312

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-inc",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
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+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
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+  "dropout": 0.1,
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+  "encoder_layers": 6,
+  "eos_token_id": 512,
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+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": null,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
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+  "num_hidden_layers": 6,
+  "pad_token_id": 61905,
+  "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": 61906
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bad_words_ids": [
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+      61905
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+  "transformers_version": "4.45.1"
+}

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special_tokens_map.json

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target.spm

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tokenizer_config.json

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