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.gitattributes

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README.md

@@ -0,0 +1,1587 @@
+---
+library_name: transformers
+language:
+- aa
+- am
+- ar
+- arc
+- bcw
+- byn
+- cop
+- daa
+- de
+- dsh
+- en
+- es
+- fr
+- gde
+- gnd
+- ha
+- hbo
+- he
+- hig
+- irk
+- jpa
+- kab
+- ker
+- kqp
+- ktb
+- kxc
+- lln
+- lme
+- meq
+- mfh
+- mfi
+- mfk
+- mif
+- mpg
+- mqb
+- mt
+- muy
+- oar
+- om
+- pbi
+- phn
+- pt
+- rif
+- sgw
+- shi
+- shy
+- so
+- sur
+- syc
+- syr
+- taq
+- thv
+- ti
+- tig
+- tmc
+- tmh
+- tmr
+- ttr
+- tzm
+- wal
+- xed
+- zgh
+
+tags:
+- translation
+- opus-mt-tc-bible
+
+license: apache-2.0
+model-index:
+- name: opus-mt-tc-bible-big-afa-deu_eng_fra_por_spa
+  results:
+  - task:
+      name: Translation acm-deu
+      type: translation
+      args: acm-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: acm-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.6
+       - name: chr-F
+         type: chrf
+         value: 0.48947
+  - task:
+      name: Translation acm-eng
+      type: translation
+      args: acm-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: acm-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.5
+       - name: chr-F
+         type: chrf
+         value: 0.56799
+  - task:
+      name: Translation acm-fra
+      type: translation
+      args: acm-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: acm-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.1
+       - name: chr-F
+         type: chrf
+         value: 0.53577
+  - task:
+      name: Translation acm-por
+      type: translation
+      args: acm-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: acm-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.9
+       - name: chr-F
+         type: chrf
+         value: 0.52441
+  - task:
+      name: Translation acm-spa
+      type: translation
+      args: acm-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: acm-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.2
+       - name: chr-F
+         type: chrf
+         value: 0.46985
+  - task:
+      name: Translation amh-deu
+      type: translation
+      args: amh-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: amh-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.6
+       - name: chr-F
+         type: chrf
+         value: 0.41553
+  - task:
+      name: Translation amh-eng
+      type: translation
+      args: amh-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: amh-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.5
+       - name: chr-F
+         type: chrf
+         value: 0.49333
+  - task:
+      name: Translation amh-fra
+      type: translation
+      args: amh-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: amh-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.8
+       - name: chr-F
+         type: chrf
+         value: 0.44890
+  - task:
+      name: Translation amh-por
+      type: translation
+      args: amh-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: amh-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.5
+       - name: chr-F
+         type: chrf
+         value: 0.43771
+  - task:
+      name: Translation amh-spa
+      type: translation
+      args: amh-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: amh-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.8
+       - name: chr-F
+         type: chrf
+         value: 0.39526
+  - task:
+      name: Translation apc-deu
+      type: translation
+      args: apc-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: apc-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.0
+       - name: chr-F
+         type: chrf
+         value: 0.47480
+  - task:
+      name: Translation apc-eng
+      type: translation
+      args: apc-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: apc-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.1
+       - name: chr-F
+         type: chrf
+         value: 0.56075
+  - task:
+      name: Translation apc-fra
+      type: translation
+      args: apc-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: apc-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.6
+       - name: chr-F
+         type: chrf
+         value: 0.52325
+  - task:
+      name: Translation apc-por
+      type: translation
+      args: apc-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: apc-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.9
+       - name: chr-F
+         type: chrf
+         value: 0.51055
+  - task:
+      name: Translation apc-spa
+      type: translation
+      args: apc-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: apc-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.2
+       - name: chr-F
+         type: chrf
+         value: 0.45634
+  - task:
+      name: Translation arz-deu
+      type: translation
+      args: arz-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: arz-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.45844
+  - task:
+      name: Translation arz-eng
+      type: translation
+      args: arz-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: arz-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.52534
+  - task:
+      name: Translation arz-fra
+      type: translation
+      args: arz-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: arz-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.50336
+  - task:
+      name: Translation arz-por
+      type: translation
+      args: arz-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: arz-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.0
+       - name: chr-F
+         type: chrf
+         value: 0.48741
+  - task:
+      name: Translation arz-spa
+      type: translation
+      args: arz-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: arz-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.8
+       - name: chr-F
+         type: chrf
+         value: 0.44516
+  - task:
+      name: Translation hau-eng
+      type: translation
+      args: hau-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hau-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.4
+       - name: chr-F
+         type: chrf
+         value: 0.48137
+  - task:
+      name: Translation hau-fra
+      type: translation
+      args: hau-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hau-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.2
+       - name: chr-F
+         type: chrf
+         value: 0.42981
+  - task:
+      name: Translation hau-por
+      type: translation
+      args: hau-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hau-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.7
+       - name: chr-F
+         type: chrf
+         value: 0.41385
+  - task:
+      name: Translation hau-spa
+      type: translation
+      args: hau-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: hau-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.7
+       - name: chr-F
+         type: chrf
+         value: 0.37800
+  - task:
+      name: Translation heb-deu
+      type: translation
+      args: heb-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: heb-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.8
+       - name: chr-F
+         type: chrf
+         value: 0.53482
+  - task:
+      name: Translation heb-eng
+      type: translation
+      args: heb-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: heb-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 38.0
+       - name: chr-F
+         type: chrf
+         value: 0.63368
+  - task:
+      name: Translation heb-fra
+      type: translation
+      args: heb-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: heb-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.6
+       - name: chr-F
+         type: chrf
+         value: 0.58417
+  - task:
+      name: Translation heb-por
+      type: translation
+      args: heb-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: heb-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.7
+       - name: chr-F
+         type: chrf
+         value: 0.57140
+  - task:
+      name: Translation kab-eng
+      type: translation
+      args: kab-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: kab-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.0
+       - name: chr-F
+         type: chrf
+         value: 0.32121
+  - task:
+      name: Translation mlt-eng
+      type: translation
+      args: mlt-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: mlt-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.1
+       - name: chr-F
+         type: chrf
+         value: 0.73415
+  - task:
+      name: Translation mlt-fra
+      type: translation
+      args: mlt-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: mlt-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.8
+       - name: chr-F
+         type: chrf
+         value: 0.61626
+  - task:
+      name: Translation mlt-spa
+      type: translation
+      args: mlt-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: mlt-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.50534
+  - task:
+      name: Translation som-eng
+      type: translation
+      args: som-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: som-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.42764
+  - task:
+      name: Translation som-fra
+      type: translation
+      args: som-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: som-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.4
+       - name: chr-F
+         type: chrf
+         value: 0.39536
+  - task:
+      name: Translation som-por
+      type: translation
+      args: som-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: som-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.39440
+  - task:
+      name: Translation som-spa
+      type: translation
+      args: som-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: som-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.0
+       - name: chr-F
+         type: chrf
+         value: 0.35321
+  - task:
+      name: Translation tir-eng
+      type: translation
+      args: tir-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tir-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.6
+       - name: chr-F
+         type: chrf
+         value: 0.37119
+  - task:
+      name: Translation amh-deu
+      type: translation
+      args: amh-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: amh deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.5
+       - name: chr-F
+         type: chrf
+         value: 0.39890
+  - task:
+      name: Translation amh-eng
+      type: translation
+      args: amh-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: amh eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.0
+       - name: chr-F
+         type: chrf
+         value: 0.47357
+  - task:
+      name: Translation amh-fra
+      type: translation
+      args: amh-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: amh fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.2
+       - name: chr-F
+         type: chrf
+         value: 0.43155
+  - task:
+      name: Translation amh-por
+      type: translation
+      args: amh-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: amh por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.1
+       - name: chr-F
+         type: chrf
+         value: 0.42109
+  - task:
+      name: Translation amh-spa
+      type: translation
+      args: amh-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: amh spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.5
+       - name: chr-F
+         type: chrf
+         value: 0.38003
+  - task:
+      name: Translation ara-deu
+      type: translation
+      args: ara-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ara deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.4
+       - name: chr-F
+         type: chrf
+         value: 0.51110
+  - task:
+      name: Translation ara-fra
+      type: translation
+      args: ara-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ara fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.7
+       - name: chr-F
+         type: chrf
+         value: 0.56934
+  - task:
+      name: Translation ara-por
+      type: translation
+      args: ara-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ara por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.2
+       - name: chr-F
+         type: chrf
+         value: 0.55727
+  - task:
+      name: Translation ara-spa
+      type: translation
+      args: ara-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ara spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.5
+       - name: chr-F
+         type: chrf
+         value: 0.48350
+  - task:
+      name: Translation hau-eng
+      type: translation
+      args: hau-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hau eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.6
+       - name: chr-F
+         type: chrf
+         value: 0.46804
+  - task:
+      name: Translation hau-fra
+      type: translation
+      args: hau-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hau fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.9
+       - name: chr-F
+         type: chrf
+         value: 0.41827
+  - task:
+      name: Translation hau-spa
+      type: translation
+      args: hau-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hau spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.5
+       - name: chr-F
+         type: chrf
+         value: 0.37201
+  - task:
+      name: Translation heb-eng
+      type: translation
+      args: heb-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: heb eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.6
+       - name: chr-F
+         type: chrf
+         value: 0.62422
+  - task:
+      name: Translation mlt-eng
+      type: translation
+      args: mlt-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: mlt eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 49.1
+       - name: chr-F
+         type: chrf
+         value: 0.72390
+  - task:
+      name: Translation mlt-fra
+      type: translation
+      args: mlt-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: mlt fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.7
+       - name: chr-F
+         type: chrf
+         value: 0.60840
+  - task:
+      name: Translation mlt-por
+      type: translation
+      args: mlt-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: mlt por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.8
+       - name: chr-F
+         type: chrf
+         value: 0.59863
+  - task:
+      name: Translation amh-eng
+      type: translation
+      args: amh-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: amh-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.0
+       - name: chr-F
+         type: chrf
+         value: 0.42042
+  - task:
+      name: Translation amh-fra
+      type: translation
+      args: amh-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: amh-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.8
+       - name: chr-F
+         type: chrf
+         value: 0.37274
+  - task:
+      name: Translation amh-spa
+      type: translation
+      args: amh-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: amh-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.1
+       - name: chr-F
+         type: chrf
+         value: 0.38306
+  - task:
+      name: Translation hau-eng
+      type: translation
+      args: hau-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hau-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.1
+       - name: chr-F
+         type: chrf
+         value: 0.50349
+  - task:
+      name: Translation hau-fra
+      type: translation
+      args: hau-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hau-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.8
+       - name: chr-F
+         type: chrf
+         value: 0.41837
+  - task:
+      name: Translation hau-por
+      type: translation
+      args: hau-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hau-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.3
+       - name: chr-F
+         type: chrf
+         value: 0.40851
+  - task:
+      name: Translation hau-spa
+      type: translation
+      args: hau-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: hau-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.5
+       - name: chr-F
+         type: chrf
+         value: 0.43376
+  - task:
+      name: Translation heb-deu
+      type: translation
+      args: heb-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: heb-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.7
+       - name: chr-F
+         type: chrf
+         value: 0.49482
+  - task:
+      name: Translation heb-eng
+      type: translation
+      args: heb-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: heb-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.3
+       - name: chr-F
+         type: chrf
+         value: 0.59241
+  - task:
+      name: Translation heb-fra
+      type: translation
+      args: heb-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: heb-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.0
+       - name: chr-F
+         type: chrf
+         value: 0.52180
+  - task:
+      name: Translation heb-por
+      type: translation
+      args: heb-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: heb-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.2
+       - name: chr-F
+         type: chrf
+         value: 0.51248
+  - task:
+      name: Translation mlt-spa
+      type: translation
+      args: mlt-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: mlt-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.9
+       - name: chr-F
+         type: chrf
+         value: 0.57078
+  - task:
+      name: Translation som-deu
+      type: translation
+      args: som-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: som-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.0
+       - name: chr-F
+         type: chrf
+         value: 0.39394
+  - task:
+      name: Translation som-eng
+      type: translation
+      args: som-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: som-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.3
+       - name: chr-F
+         type: chrf
+         value: 0.49187
+  - task:
+      name: Translation som-fra
+      type: translation
+      args: som-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: som-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.1
+       - name: chr-F
+         type: chrf
+         value: 0.41236
+  - task:
+      name: Translation som-por
+      type: translation
+      args: som-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: som-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.2
+       - name: chr-F
+         type: chrf
+         value: 0.41550
+  - task:
+      name: Translation som-spa
+      type: translation
+      args: som-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: som-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.6
+       - name: chr-F
+         type: chrf
+         value: 0.43278
+  - task:
+      name: Translation tir-eng
+      type: translation
+      args: tir-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tir-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.5
+       - name: chr-F
+         type: chrf
+         value: 0.37185
+  - task:
+      name: Translation tir-spa
+      type: translation
+      args: tir-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tir-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.2
+       - name: chr-F
+         type: chrf
+         value: 0.34985
+  - task:
+      name: Translation amh-eng
+      type: translation
+      args: amh-eng
+    dataset:
+      name: tatoeba-test-v2021-03-30
+      type: tatoeba_mt
+      args: amh-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 59.5
+       - name: chr-F
+         type: chrf
+         value: 0.70202
+  - task:
+      name: Translation ara-deu
+      type: translation
+      args: ara-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ara-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 41.7
+       - name: chr-F
+         type: chrf
+         value: 0.61039
+  - task:
+      name: Translation ara-eng
+      type: translation
+      args: ara-eng
+    dataset:
+      name: tatoeba-test-v2020-07-28
+      type: tatoeba_mt
+      args: ara-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.8
+       - name: chr-F
+         type: chrf
+         value: 0.60134
+  - task:
+      name: Translation ara-fra
+      type: translation
+      args: ara-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ara-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 38.8
+       - name: chr-F
+         type: chrf
+         value: 0.56120
+  - task:
+      name: Translation ara-spa
+      type: translation
+      args: ara-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ara-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 43.7
+       - name: chr-F
+         type: chrf
+         value: 0.62567
+  - task:
+      name: Translation heb-deu
+      type: translation
+      args: heb-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: heb-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.4
+       - name: chr-F
+         type: chrf
+         value: 0.63131
+  - task:
+      name: Translation heb-eng
+      type: translation
+      args: heb-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: heb-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 49.2
+       - name: chr-F
+         type: chrf
+         value: 0.64960
+  - task:
+      name: Translation heb-fra
+      type: translation
+      args: heb-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: heb-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 46.3
+       - name: chr-F
+         type: chrf
+         value: 0.64348
+  - task:
+      name: Translation heb-por
+      type: translation
+      args: heb-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: heb-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 43.2
+       - name: chr-F
+         type: chrf
+         value: 0.63350
+  - task:
+      name: Translation kab-eng
+      type: translation
+      args: kab-eng
+    dataset:
+      name: tatoeba-test-v2021-03-30
+      type: tatoeba_mt
+      args: kab-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.8
+       - name: chr-F
+         type: chrf
+         value: 0.44646
+  - task:
+      name: Translation kab-spa
+      type: translation
+      args: kab-spa
+    dataset:
+      name: tatoeba-test-v2020-07-28
+      type: tatoeba_mt
+      args: kab-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.4
+       - name: chr-F
+         type: chrf
+         value: 0.41526
+  - task:
+      name: Translation mlt-eng
+      type: translation
+      args: mlt-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: mlt-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.0
+       - name: chr-F
+         type: chrf
+         value: 0.66653
+  - task:
+      name: Translation multi-multi
+      type: translation
+      args: multi-multi
+    dataset:
+      name: tatoeba-test-v2020-07-28-v2023-09-26
+      type: tatoeba_mt
+      args: multi-multi
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.0
+       - name: chr-F
+         type: chrf
+         value: 0.51369
+  - task:
+      name: Translation hau-eng
+      type: translation
+      args: hau-eng
+    dataset:
+      name: newstest2021
+      type: wmt-2021-news
+      args: hau-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.5
+       - name: chr-F
+         type: chrf
+         value: 0.43744
+---
+# opus-mt-tc-bible-big-afa-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 Afro-Asiatic languages (afa) 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**: 2024-05-29
+- **License:** Apache-2.0
+- **Language(s):**  
+  - Source Language(s): aar acm afb amh apc ara arc arq arz bcw byn cop daa dsh gde gnd hau hbo heb hig irk jpa kab ker kqp ktb kxc lln lme meq mfh mfi mfk mif mlt mpg mqb muy oar orm pbi phn rif sgw shi shy som sur syc syr taq thv tig tir tmc tmh tmr ttr tzm wal xed zgh
+  - 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_2024-05-29.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.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/afa-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-29)
+  - [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 = [
+    ">>eng<< Anta i ak-d-yennan ur yerbiḥ ara Tom?",
+    ">>fra<< Iselman d aɣbalu axatar i wučči n yemdanen."
+]
+
+model_name = "pytorch-models/opus-mt-tc-bible-big-afa-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) )
+
+# expected output:
+#     Who told you that he didn't?
+#     L'eau est une source importante de nourriture pour les gens.
+```
+
+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-afa-deu_eng_fra_por_spa")
+print(pipe(">>eng<< Anta i ak-d-yennan ur yerbiḥ ara Tom?"))
+
+# expected output: Who told you that he didn't?
+```
+
+## 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_2024-05-29.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.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/afa-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-29)
+* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-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/afa-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 |
+|----------|---------|-------|-------|-------|--------|
+| ara-deu | tatoeba-test-v2021-08-07 | 0.61039 | 41.7 | 1209 | 8371 |
+| ara-eng | tatoeba-test-v2021-08-07 | 5.430 | 0.0 | 10305 | 76975 |
+| ara-fra | tatoeba-test-v2021-08-07 | 0.56120 | 38.8 | 1569 | 11066 |
+| ara-spa | tatoeba-test-v2021-08-07 | 0.62567 | 43.7 | 1511 | 9708 |
+| heb-deu | tatoeba-test-v2021-08-07 | 0.63131 | 42.4 | 3090 | 25101 |
+| heb-eng | tatoeba-test-v2021-08-07 | 0.64960 | 49.2 | 10519 | 77427 |
+| heb-fra | tatoeba-test-v2021-08-07 | 0.64348 | 46.3 | 3281 | 26123 |
+| heb-por | tatoeba-test-v2021-08-07 | 0.63350 | 43.2 | 719 | 5335 |
+| mlt-eng | tatoeba-test-v2021-08-07 | 0.66653 | 51.0 | 203 | 1165 |
+| amh-eng | flores101-devtest | 0.47357 | 21.0 | 1012 | 24721 |
+| amh-fra | flores101-devtest | 0.43155 | 16.2 | 1012 | 28343 |
+| amh-por | flores101-devtest | 0.42109 | 15.1 | 1012 | 26519 |
+| ara-deu | flores101-devtest | 0.51110 | 20.4 | 1012 | 25094 |
+| ara-fra | flores101-devtest | 0.56934 | 29.7 | 1012 | 28343 |
+| ara-por | flores101-devtest | 0.55727 | 28.2 | 1012 | 26519 |
+| ara-spa | flores101-devtest | 0.48350 | 19.5 | 1012 | 29199 |
+| hau-eng | flores101-devtest | 0.46804 | 21.6 | 1012 | 24721 |
+| hau-fra | flores101-devtest | 0.41827 | 15.9 | 1012 | 28343 |
+| heb-eng | flores101-devtest | 0.62422 | 36.6 | 1012 | 24721 |
+| mlt-eng | flores101-devtest | 0.72390 | 49.1 | 1012 | 24721 |
+| mlt-fra | flores101-devtest | 0.60840 | 34.7 | 1012 | 28343 |
+| mlt-por | flores101-devtest | 0.59863 | 31.8 | 1012 | 26519 |
+| acm-deu | flores200-devtest | 0.48947 | 17.6 | 1012 | 25094 |
+| acm-eng | flores200-devtest | 0.56799 | 28.5 | 1012 | 24721 |
+| acm-fra | flores200-devtest | 0.53577 | 26.1 | 1012 | 28343 |
+| acm-por | flores200-devtest | 0.52441 | 23.9 | 1012 | 26519 |
+| acm-spa | flores200-devtest | 0.46985 | 18.2 | 1012 | 29199 |
+| amh-deu | flores200-devtest | 0.41553 | 12.6 | 1012 | 25094 |
+| amh-eng | flores200-devtest | 0.49333 | 22.5 | 1012 | 24721 |
+| amh-fra | flores200-devtest | 0.44890 | 17.8 | 1012 | 28343 |
+| amh-por | flores200-devtest | 0.43771 | 16.5 | 1012 | 26519 |
+| apc-deu | flores200-devtest | 0.47480 | 16.0 | 1012 | 25094 |
+| apc-eng | flores200-devtest | 0.56075 | 28.1 | 1012 | 24721 |
+| apc-fra | flores200-devtest | 0.52325 | 24.6 | 1012 | 28343 |
+| apc-por | flores200-devtest | 0.51055 | 22.9 | 1012 | 26519 |
+| apc-spa | flores200-devtest | 0.45634 | 17.2 | 1012 | 29199 |
+| arz-deu | flores200-devtest | 0.45844 | 14.1 | 1012 | 25094 |
+| arz-eng | flores200-devtest | 0.52534 | 22.7 | 1012 | 24721 |
+| arz-fra | flores200-devtest | 0.50336 | 21.8 | 1012 | 28343 |
+| arz-por | flores200-devtest | 0.48741 | 20.0 | 1012 | 26519 |
+| arz-spa | flores200-devtest | 0.44516 | 15.8 | 1012 | 29199 |
+| hau-eng | flores200-devtest | 0.48137 | 23.4 | 1012 | 24721 |
+| hau-fra | flores200-devtest | 0.42981 | 17.2 | 1012 | 28343 |
+| hau-por | flores200-devtest | 0.41385 | 15.7 | 1012 | 26519 |
+| heb-deu | flores200-devtest | 0.53482 | 22.8 | 1012 | 25094 |
+| heb-eng | flores200-devtest | 0.63368 | 38.0 | 1012 | 24721 |
+| heb-fra | flores200-devtest | 0.58417 | 32.6 | 1012 | 28343 |
+| heb-por | flores200-devtest | 0.57140 | 30.7 | 1012 | 26519 |
+| mlt-eng | flores200-devtest | 0.73415 | 51.1 | 1012 | 24721 |
+| mlt-fra | flores200-devtest | 0.61626 | 35.8 | 1012 | 28343 |
+| mlt-spa | flores200-devtest | 0.50534 | 21.8 | 1012 | 29199 |
+| som-eng | flores200-devtest | 0.42764 | 17.7 | 1012 | 24721 |
+| tir-por | flores200-devtest | 2.931 | 0.0 | 1012 | 26519 |
+| hau-eng | newstest2021 | 0.43744 | 15.5 | 997 | 27372 |
+| amh-eng | ntrex128 | 0.42042 | 15.0 | 1997 | 47673 |
+| hau-eng | ntrex128 | 0.50349 | 26.1 | 1997 | 47673 |
+| hau-fra | ntrex128 | 0.41837 | 15.8 | 1997 | 53481 |
+| hau-por | ntrex128 | 0.40851 | 15.3 | 1997 | 51631 |
+| hau-spa | ntrex128 | 0.43376 | 18.5 | 1997 | 54107 |
+| heb-deu | ntrex128 | 0.49482 | 17.7 | 1997 | 48761 |
+| heb-eng | ntrex128 | 0.59241 | 31.3 | 1997 | 47673 |
+| heb-fra | ntrex128 | 0.52180 | 24.0 | 1997 | 53481 |
+| heb-por | ntrex128 | 0.51248 | 23.2 | 1997 | 51631 |
+| mlt-spa | ntrex128 | 0.57078 | 30.9 | 1997 | 54107 |
+| som-eng | ntrex128 | 0.49187 | 24.3 | 1997 | 47673 |
+| som-fra | ntrex128 | 0.41236 | 15.1 | 1997 | 53481 |
+| som-por | ntrex128 | 0.41550 | 15.2 | 1997 | 51631 |
+| som-spa | ntrex128 | 0.43278 | 17.6 | 1997 | 54107 |
+| tir-eng | tico19-test | 2.655 | 0.0 | 2100 | 56824 |
+
+## 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: a0ea3b3
+* port time: Mon Oct  7 16:01:48 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,129 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.51369	34.0	10000	74513
+amh-deu	flores101-devtest	0.39890	11.5	1012	25094
+amh-eng	flores101-devtest	0.47357	21.0	1012	24721
+amh-fra	flores101-devtest	0.43155	16.2	1012	28343
+amh-por	flores101-devtest	0.42109	15.1	1012	26519
+amh-spa	flores101-devtest	0.38003	11.5	1012	29199
+ara-deu	flores101-devtest	0.51110	20.4	1012	25094
+ara-fra	flores101-devtest	0.56934	29.7	1012	28343
+ara-por	flores101-devtest	0.55727	28.2	1012	26519
+ara-spa	flores101-devtest	0.48350	19.5	1012	29199
+hau-deu	flores101-devtest	0.30486	6.3	1012	25094
+hau-eng	flores101-devtest	0.46804	21.6	1012	24721
+hau-fra	flores101-devtest	0.41827	15.9	1012	28343
+hau-spa	flores101-devtest	0.37201	11.5	1012	29199
+heb-eng	flores101-devtest	0.62422	36.6	1012	24721
+mlt-eng	flores101-devtest	0.72390	49.1	1012	24721
+mlt-fra	flores101-devtest	0.60840	34.7	1012	28343
+mlt-por	flores101-devtest	0.59863	31.8	1012	26519
+orm-deu	flores101-devtest	0.28280	4.1	1012	25094
+orm-fra	flores101-devtest	0.28443	6.1	1012	28343
+orm-por	flores101-devtest	0.28741	5.9	1012	26519
+orm-spa	flores101-devtest	0.27579	5.3	1012	29199
+acm-deu	flores200-devtest	0.48947	17.6	1012	25094
+acm-eng	flores200-devtest	0.56799	28.5	1012	24721
+acm-fra	flores200-devtest	0.53577	26.1	1012	28343
+acm-por	flores200-devtest	0.52441	23.9	1012	26519
+acm-spa	flores200-devtest	0.46985	18.2	1012	29199
+amh-deu	flores200-devtest	0.41553	12.6	1012	25094
+amh-eng	flores200-devtest	0.49333	22.5	1012	24721
+amh-fra	flores200-devtest	0.44890	17.8	1012	28343
+amh-por	flores200-devtest	0.43771	16.5	1012	26519
+amh-spa	flores200-devtest	0.39526	12.8	1012	29199
+apc-deu	flores200-devtest	0.47480	16.0	1012	25094
+apc-eng	flores200-devtest	0.56075	28.1	1012	24721
+apc-fra	flores200-devtest	0.52325	24.6	1012	28343
+apc-por	flores200-devtest	0.51055	22.9	1012	26519
+apc-spa	flores200-devtest	0.45634	17.2	1012	29199
+ara-deu	flores200-devtest	4.103	0.9	1	21
+ara-eng	flores200-devtest	4.219	0.9	1	21
+ara-fra	flores200-devtest	3.444	0.6	1	24
+ara-por	flores200-devtest	4.490	0.8	1	22
+ara-spa	flores200-devtest	0.16385	0.0	1	23
+arz-deu	flores200-devtest	0.45844	14.1	1012	25094
+arz-eng	flores200-devtest	0.52534	22.7	1012	24721
+arz-fra	flores200-devtest	0.50336	21.8	1012	28343
+arz-por	flores200-devtest	0.48741	20.0	1012	26519
+arz-spa	flores200-devtest	0.44516	15.8	1012	29199
+hau-deu	flores200-devtest	0.31338	6.9	1012	25094
+hau-eng	flores200-devtest	0.48137	23.4	1012	24721
+hau-fra	flores200-devtest	0.42981	17.2	1012	28343
+hau-por	flores200-devtest	0.41385	15.7	1012	26519
+hau-spa	flores200-devtest	0.37800	11.7	1012	29199
+heb-deu	flores200-devtest	0.53482	22.8	1012	25094
+heb-eng	flores200-devtest	0.63368	38.0	1012	24721
+heb-fra	flores200-devtest	0.58417	32.6	1012	28343
+heb-por	flores200-devtest	0.57140	30.7	1012	26519
+kab-deu	flores200-devtest	0.29507	5.1	1012	25094
+kab-eng	flores200-devtest	0.32121	10.0	1012	24721
+kab-por	flores200-devtest	0.32076	9.0	1012	26519
+mlt-eng	flores200-devtest	0.73415	51.1	1012	24721
+mlt-fra	flores200-devtest	0.61626	35.8	1012	28343
+mlt-spa	flores200-devtest	0.50534	21.8	1012	29199
+som-deu	flores200-devtest	0.37017	9.7	1012	25094
+som-eng	flores200-devtest	0.42764	17.7	1012	24721
+som-fra	flores200-devtest	0.39536	14.4	1012	28343
+som-por	flores200-devtest	0.39440	14.1	1012	26519
+som-spa	flores200-devtest	0.35321	10.0	1012	29199
+tir-deu	flores200-devtest	0.33956	6.5	1012	25094
+tir-eng	flores200-devtest	0.37119	11.6	1012	24721
+tir-fra	flores200-devtest	0.35347	9.7	1012	28343
+tir-por	flores200-devtest	2.931	0.0	1012	26519
+tir-spa	flores200-devtest	0.32859	7.6	1012	29199
+hau-eng	newstest2021	0.43744	15.5	997	27372
+amh-deu	ntrex128	0.35473	7.8	1997	48761
+amh-eng	ntrex128	0.42042	15.0	1997	47673
+amh-fra	ntrex128	0.37274	10.8	1997	53481
+amh-por	ntrex128	0.36420	9.8	1997	51631
+amh-spa	ntrex128	0.38306	12.1	1997	54107
+hau-deu	ntrex128	0.31360	6.6	1997	48761
+hau-eng	ntrex128	0.50349	26.1	1997	47673
+hau-fra	ntrex128	0.41837	15.8	1997	53481
+hau-por	ntrex128	0.40851	15.3	1997	51631
+hau-spa	ntrex128	0.43376	18.5	1997	54107
+heb-deu	ntrex128	0.49482	17.7	1997	48761
+heb-eng	ntrex128	0.59241	31.3	1997	47673
+heb-fra	ntrex128	0.52180	24.0	1997	53481
+heb-por	ntrex128	0.51248	23.2	1997	51631
+mlt-spa	ntrex128	0.57078	30.9	1997	54107
+orm-deu	ntrex128	0.24414	3.7	1997	48761
+orm-eng	ntrex128	0.23820	4.7	1997	47673
+orm-por	ntrex128	0.24063	4.0	1997	51631
+shi-deu	ntrex128	0.20534	1.0	1997	48761
+shi-eng	ntrex128	0.22850	1.8	1997	47673
+shi-fra	ntrex128	0.22309	2.4	1997	53481
+shi-por	ntrex128	0.21646	1.9	1997	51631
+shi-spa	ntrex128	0.23162	2.8	1997	54107
+som-deu	ntrex128	0.39394	11.0	1997	48761
+som-eng	ntrex128	0.49187	24.3	1997	47673
+som-fra	ntrex128	0.41236	15.1	1997	53481
+som-por	ntrex128	0.41550	15.2	1997	51631
+som-spa	ntrex128	0.43278	17.6	1997	54107
+tir-deu	ntrex128	0.32512	6.2	1997	48761
+tir-eng	ntrex128	0.37185	12.5	1997	47673
+tir-fra	ntrex128	0.32879	8.6	1997	53481
+tir-por	ntrex128	0.33090	8.5	1997	51631
+tir-spa	ntrex128	0.34985	10.2	1997	54107
+ara-eng	tatoeba-test-v2020-07-28	0.60134	42.8	10000	73977
+arq-eng	tatoeba-test-v2020-07-28	0.23786	6.6	403	3059
+heb-eng	tatoeba-test-v2020-07-28	0.63689	47.7	10000	73560
+kab-spa	tatoeba-test-v2020-07-28	0.41526	23.4	212	1333
+amh-eng	tatoeba-test-v2021-03-30	0.70202	59.5	202	1055
+arq-eng	tatoeba-test-v2021-03-30	0.23812	6.7	405	3075
+kab-deu	tatoeba-test-v2021-03-30	0.35013	15.0	376	2425
+kab-eng	tatoeba-test-v2021-03-30	0.44646	27.8	11692	73688
+kab-fra	tatoeba-test-v2021-03-30	0.35443	16.8	11158	89678
+mlt-eng	tatoeba-test-v2021-03-30	0.66333	50.6	206	1183
+ara-deu	tatoeba-test-v2021-08-07	0.61039	41.7	1209	8371
+ara-eng	tatoeba-test-v2021-08-07	5.430	0.0	10305	76975
+ara-fra	tatoeba-test-v2021-08-07	0.56120	38.8	1569	11066
+ara-spa	tatoeba-test-v2021-08-07	0.62567	43.7	1511	9708
+arq-eng	tatoeba-test-v2021-08-07	0.24532	7.0	405	3075
+heb-deu	tatoeba-test-v2021-08-07	0.63131	42.4	3090	25101
+heb-eng	tatoeba-test-v2021-08-07	0.64960	49.2	10519	77427
+heb-fra	tatoeba-test-v2021-08-07	0.64348	46.3	3281	26123
+heb-por	tatoeba-test-v2021-08-07	0.63350	43.2	719	5335
+kab-spa	tatoeba-test-v2021-08-07	0.36828	18.2	883	6705
+mlt-eng	tatoeba-test-v2021-08-07	0.66653	51.0	203	1165
+ara-spa	tico19-test	0.23860	1.0	2100	66563
+tir-eng	tico19-test	2.655	0.0	2100	56824

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-afa-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": 61447,
+  "decoder_vocab_size": 61448,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 406,
+  "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": 61447,
+  "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": 61448
+}

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      61447
+    ]
+  ],
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+  "decoder_start_token_id": 61447,
+  "eos_token_id": 406,
+  "forced_eos_token_id": 406,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 61447,
+  "transformers_version": "4.45.1"
+}

model.safetensors

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pytorch_model.bin

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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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