upstream-archive byte-perfect snapshot of Helsinki-NLP/opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa (ADR-039 Phase D)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.spm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,1357 @@
+---
+library_name: transformers
+language:
+- bal
+- de
+- diq
+- en
+- es
+- fa
+- fr
+- glk
+- jdt
+- ku
+- lrc
+- mzn
+- os
+- pal
+- ps
+- pt
+- tg
+- tly
+- zza
+language_bcp47:
+- ku_Latn
+
+tags:
+- translation
+- opus-mt-tc-bible
+
+license: apache-2.0
+model-index:
+- name: opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa
+  results:
+  - task:
+      name: Translation ckb-deu
+      type: translation
+      args: ckb-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: ckb-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.7
+       - name: chr-F
+         type: chrf
+         value: 0.40369
+  - task:
+      name: Translation ckb-eng
+      type: translation
+      args: ckb-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: ckb-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.5
+       - name: chr-F
+         type: chrf
+         value: 0.48447
+  - task:
+      name: Translation ckb-fra
+      type: translation
+      args: ckb-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: ckb-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.1
+       - name: chr-F
+         type: chrf
+         value: 0.44026
+  - task:
+      name: Translation ckb-por
+      type: translation
+      args: ckb-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: ckb-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.4
+       - name: chr-F
+         type: chrf
+         value: 0.43192
+  - task:
+      name: Translation ckb-spa
+      type: translation
+      args: ckb-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: ckb-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.7
+       - name: chr-F
+         type: chrf
+         value: 0.38880
+  - task:
+      name: Translation kmr-eng
+      type: translation
+      args: kmr-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: kmr-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.4
+       - name: chr-F
+         type: chrf
+         value: 0.37372
+  - task:
+      name: Translation pes-deu
+      type: translation
+      args: pes-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: pes-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.5
+       - name: chr-F
+         type: chrf
+         value: 0.51542
+  - task:
+      name: Translation pes-eng
+      type: translation
+      args: pes-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: pes-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.9
+       - name: chr-F
+         type: chrf
+         value: 0.61372
+  - task:
+      name: Translation pes-fra
+      type: translation
+      args: pes-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: pes-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.2
+       - name: chr-F
+         type: chrf
+         value: 0.56347
+  - task:
+      name: Translation pes-por
+      type: translation
+      args: pes-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: pes-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.5
+       - name: chr-F
+         type: chrf
+         value: 0.55676
+  - task:
+      name: Translation pes-spa
+      type: translation
+      args: pes-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: pes-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.8
+       - name: chr-F
+         type: chrf
+         value: 0.48334
+  - task:
+      name: Translation prs-deu
+      type: translation
+      args: prs-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: prs-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.2
+       - name: chr-F
+         type: chrf
+         value: 0.50562
+  - task:
+      name: Translation prs-eng
+      type: translation
+      args: prs-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: prs-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.1
+       - name: chr-F
+         type: chrf
+         value: 0.60716
+  - task:
+      name: Translation prs-fra
+      type: translation
+      args: prs-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: prs-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.8
+       - name: chr-F
+         type: chrf
+         value: 0.54769
+  - task:
+      name: Translation prs-por
+      type: translation
+      args: prs-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: prs-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.2
+       - name: chr-F
+         type: chrf
+         value: 0.54073
+  - task:
+      name: Translation prs-spa
+      type: translation
+      args: prs-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: prs-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.46850
+  - task:
+      name: Translation tgk-deu
+      type: translation
+      args: tgk-deu
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tgk-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.2
+       - name: chr-F
+         type: chrf
+         value: 0.43115
+  - task:
+      name: Translation tgk-eng
+      type: translation
+      args: tgk-eng
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tgk-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.6
+       - name: chr-F
+         type: chrf
+         value: 0.53705
+  - task:
+      name: Translation tgk-fra
+      type: translation
+      args: tgk-fra
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tgk-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.7
+       - name: chr-F
+         type: chrf
+         value: 0.48902
+  - task:
+      name: Translation tgk-por
+      type: translation
+      args: tgk-por
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tgk-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.7
+       - name: chr-F
+         type: chrf
+         value: 0.48519
+  - task:
+      name: Translation tgk-spa
+      type: translation
+      args: tgk-spa
+    dataset:
+      name: flores200-devtest
+      type: flores200-devtest
+      args: tgk-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.7
+       - name: chr-F
+         type: chrf
+         value: 0.43563
+  - task:
+      name: Translation ckb-deu
+      type: translation
+      args: ckb-deu
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ckb deu devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.6
+       - name: chr-F
+         type: chrf
+         value: 0.40117
+  - task:
+      name: Translation ckb-eng
+      type: translation
+      args: ckb-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ckb eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.6
+       - name: chr-F
+         type: chrf
+         value: 0.48321
+  - task:
+      name: Translation ckb-fra
+      type: translation
+      args: ckb-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ckb fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.2
+       - name: chr-F
+         type: chrf
+         value: 0.44260
+  - task:
+      name: Translation ckb-por
+      type: translation
+      args: ckb-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ckb por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.2
+       - name: chr-F
+         type: chrf
+         value: 0.43179
+  - task:
+      name: Translation fas-eng
+      type: translation
+      args: fas-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: fas eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.4
+       - name: chr-F
+         type: chrf
+         value: 0.61134
+  - task:
+      name: Translation pus-eng
+      type: translation
+      args: pus-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: pus eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.49556
+  - task:
+      name: Translation pus-fra
+      type: translation
+      args: pus-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: pus fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.8
+       - name: chr-F
+         type: chrf
+         value: 0.45248
+  - task:
+      name: Translation tgk-eng
+      type: translation
+      args: tgk-eng
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: tgk eng devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.4
+       - name: chr-F
+         type: chrf
+         value: 0.53630
+  - task:
+      name: Translation tgk-fra
+      type: translation
+      args: tgk-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: tgk fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.0
+       - name: chr-F
+         type: chrf
+         value: 0.49084
+  - task:
+      name: Translation tgk-spa
+      type: translation
+      args: tgk-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: tgk spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.5
+       - name: chr-F
+         type: chrf
+         value: 0.43524
+  - task:
+      name: Translation fas-deu
+      type: translation
+      args: fas-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fas-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.7
+       - name: chr-F
+         type: chrf
+         value: 0.47408
+  - task:
+      name: Translation fas-eng
+      type: translation
+      args: fas-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fas-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.4
+       - name: chr-F
+         type: chrf
+         value: 0.55350
+  - task:
+      name: Translation fas-fra
+      type: translation
+      args: fas-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fas-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.1
+       - name: chr-F
+         type: chrf
+         value: 0.50311
+  - task:
+      name: Translation fas-por
+      type: translation
+      args: fas-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fas-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.1
+       - name: chr-F
+         type: chrf
+         value: 0.48005
+  - task:
+      name: Translation fas-spa
+      type: translation
+      args: fas-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: fas-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.6
+       - name: chr-F
+         type: chrf
+         value: 0.50973
+  - task:
+      name: Translation kmr-eng
+      type: translation
+      args: kmr-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: kmr-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.8
+       - name: chr-F
+         type: chrf
+         value: 0.38189
+  - task:
+      name: Translation prs-deu
+      type: translation
+      args: prs-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: prs-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.9
+       - name: chr-F
+         type: chrf
+         value: 0.45191
+  - task:
+      name: Translation prs-eng
+      type: translation
+      args: prs-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: prs-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.6
+       - name: chr-F
+         type: chrf
+         value: 0.54761
+  - task:
+      name: Translation prs-fra
+      type: translation
+      args: prs-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: prs-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.9
+       - name: chr-F
+         type: chrf
+         value: 0.47819
+  - task:
+      name: Translation prs-por
+      type: translation
+      args: prs-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: prs-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.4
+       - name: chr-F
+         type: chrf
+         value: 0.46241
+  - task:
+      name: Translation prs-spa
+      type: translation
+      args: prs-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: prs-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.4
+       - name: chr-F
+         type: chrf
+         value: 0.48712
+  - task:
+      name: Translation pus-eng
+      type: translation
+      args: pus-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: pus-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.4
+       - name: chr-F
+         type: chrf
+         value: 0.43901
+  - task:
+      name: Translation pus-fra
+      type: translation
+      args: pus-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: pus-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.4
+       - name: chr-F
+         type: chrf
+         value: 0.39661
+  - task:
+      name: Translation pus-por
+      type: translation
+      args: pus-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: pus-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 11.4
+       - name: chr-F
+         type: chrf
+         value: 0.38694
+  - task:
+      name: Translation pus-spa
+      type: translation
+      args: pus-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: pus-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.40812
+  - task:
+      name: Translation tgk_Cyrl-deu
+      type: translation
+      args: tgk_Cyrl-deu
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tgk_Cyrl-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 10.7
+       - name: chr-F
+         type: chrf
+         value: 0.38740
+  - task:
+      name: Translation tgk_Cyrl-eng
+      type: translation
+      args: tgk_Cyrl-eng
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tgk_Cyrl-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 18.6
+       - name: chr-F
+         type: chrf
+         value: 0.46839
+  - task:
+      name: Translation tgk_Cyrl-fra
+      type: translation
+      args: tgk_Cyrl-fra
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tgk_Cyrl-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.1
+       - name: chr-F
+         type: chrf
+         value: 0.42569
+  - task:
+      name: Translation tgk_Cyrl-por
+      type: translation
+      args: tgk_Cyrl-por
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tgk_Cyrl-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.7
+       - name: chr-F
+         type: chrf
+         value: 0.41632
+  - task:
+      name: Translation tgk_Cyrl-spa
+      type: translation
+      args: tgk_Cyrl-spa
+    dataset:
+      name: ntrex128
+      type: ntrex128
+      args: tgk_Cyrl-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.8
+       - name: chr-F
+         type: chrf
+         value: 0.43763
+  - task:
+      name: Translation fas-deu
+      type: translation
+      args: fas-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fas-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.1
+       - name: chr-F
+         type: chrf
+         value: 0.59737
+  - task:
+      name: Translation fas-eng
+      type: translation
+      args: fas-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fas-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 35.8
+       - name: chr-F
+         type: chrf
+         value: 0.59871
+  - task:
+      name: Translation fas-fra
+      type: translation
+      args: fas-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: fas-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 36.3
+       - name: chr-F
+         type: chrf
+         value: 0.58095
+  - task:
+      name: Translation kur_Latn-deu
+      type: translation
+      args: kur_Latn-deu
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: kur_Latn-deu
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.9
+       - name: chr-F
+         type: chrf
+         value: 0.40276
+  - 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: 0.56042
+  - task:
+      name: Translation pes-eng
+      type: translation
+      args: pes-eng
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: pes-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.3
+       - name: chr-F
+         type: chrf
+         value: 0.60717
+  - task:
+      name: Translation ckb-eng
+      type: translation
+      args: ckb-eng
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: ckb-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 40.1
+       - name: chr-F
+         type: chrf
+         value: 0.61905
+  - task:
+      name: Translation ckb-fra
+      type: translation
+      args: ckb-fra
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: ckb-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.7
+       - name: chr-F
+         type: chrf
+         value: 0.45070
+  - task:
+      name: Translation ckb-por
+      type: translation
+      args: ckb-por
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: ckb-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.9
+       - name: chr-F
+         type: chrf
+         value: 0.49617
+  - task:
+      name: Translation ckb-spa
+      type: translation
+      args: ckb-spa
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: ckb-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.9
+       - name: chr-F
+         type: chrf
+         value: 0.50543
+  - task:
+      name: Translation fas-eng
+      type: translation
+      args: fas-eng
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fas-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 37.3
+       - name: chr-F
+         type: chrf
+         value: 0.64016
+  - task:
+      name: Translation fas-fra
+      type: translation
+      args: fas-fra
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fas-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.1
+       - name: chr-F
+         type: chrf
+         value: 0.53319
+  - task:
+      name: Translation fas-por
+      type: translation
+      args: fas-por
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fas-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.6
+       - name: chr-F
+         type: chrf
+         value: 0.58008
+  - task:
+      name: Translation fas-spa
+      type: translation
+      args: fas-spa
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: fas-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 33.3
+       - name: chr-F
+         type: chrf
+         value: 0.59239
+  - task:
+      name: Translation prs-eng
+      type: translation
+      args: prs-eng
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: prs-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.8
+       - name: chr-F
+         type: chrf
+         value: 0.61702
+  - task:
+      name: Translation prs-fra
+      type: translation
+      args: prs-fra
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: prs-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.0
+       - name: chr-F
+         type: chrf
+         value: 0.51218
+  - task:
+      name: Translation prs-por
+      type: translation
+      args: prs-por
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: prs-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.6
+       - name: chr-F
+         type: chrf
+         value: 0.55888
+  - task:
+      name: Translation prs-spa
+      type: translation
+      args: prs-spa
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: prs-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.1
+       - name: chr-F
+         type: chrf
+         value: 0.57494
+  - task:
+      name: Translation pus-eng
+      type: translation
+      args: pus-eng
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: pus-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.1
+       - name: chr-F
+         type: chrf
+         value: 0.57586
+  - task:
+      name: Translation pus-fra
+      type: translation
+      args: pus-fra
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: pus-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.2
+       - name: chr-F
+         type: chrf
+         value: 0.46091
+  - task:
+      name: Translation pus-por
+      type: translation
+      args: pus-por
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: pus-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.1
+       - name: chr-F
+         type: chrf
+         value: 0.51033
+  - task:
+      name: Translation pus-spa
+      type: translation
+      args: pus-spa
+    dataset:
+      name: tico19-test
+      type: tico19-test
+      args: pus-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.9
+       - name: chr-F
+         type: chrf
+         value: 0.51857
+  - task:
+      name: Translation pus-eng
+      type: translation
+      args: pus-eng
+    dataset:
+      name: newstest2020
+      type: wmt-2020-news
+      args: pus-eng
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.1
+       - name: chr-F
+         type: chrf
+         value: 0.37487
+---
+# opus-mt-tc-bible-big-ira-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 Iranian languages (ira) to unknown (deu+eng+fra+por+spa).
+
+This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
+**Model Description:**
+- **Developed by:** Language Technology Research Group at the University of Helsinki
+- **Model Type:** Translation (transformer-big)
+- **Release**: 2024-05-30
+- **License:** Apache-2.0
+- **Language(s):**  
+  - Source Language(s): bal ckb diq fas glk jdt kmr kur lrc mzn oss pal pes prs pus sdh tgk tly zza
+  - Target Language(s): deu eng fra por spa
+  - Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<<
+- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ira-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
+- **Resources for more information:**
+  -  [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/ira-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
+  - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+  - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
+  - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/)
+  - [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1)
+  - [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/)
+
+This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>deu<<`
+
+## Uses
+
+This model can be used for translation and text-to-text generation.
+
+## Risks, Limitations and Biases
+
+**CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.**
+
+Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
+
+## How to Get Started With the Model
+
+A short example code:
+
+```python
+from transformers import MarianMTModel, MarianTokenizer
+
+src_text = [
+    ">>deu<< Replace this with text in an accepted source language.",
+    ">>spa<< This is the second sentence."
+]
+
+model_name = "pytorch-models/opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
+
+for t in translated:
+    print( tokenizer.decode(t, skip_special_tokens=True) )
+```
+
+You can also use OPUS-MT models with the transformers pipelines, for example:
+
+```python
+from transformers import pipeline
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-ira-deu_eng_fra_por_spa")
+print(pipe(">>deu<< Replace this with text in an accepted source language."))
+```
+
+## Training
+
+- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
+- **Pre-processing**: SentencePiece (spm32k,spm32k)
+- **Model Type:**  transformer-big
+- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ira-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
+- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+
+## Evaluation
+
+* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/ira-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
+* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ira-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/ira-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 |
+|----------|---------|-------|-------|-------|--------|
+| fas-deu | tatoeba-test-v2021-08-07 | 0.59737 | 36.1 | 3185 | 25590 |
+| fas-eng | tatoeba-test-v2021-08-07 | 0.59871 | 35.8 | 3762 | 31480 |
+| fas-fra | tatoeba-test-v2021-08-07 | 0.58095 | 36.3 | 376 | 3377 |
+| kur_Latn-deu | tatoeba-test-v2021-08-07 | 0.40276 | 24.9 | 223 | 1323 |
+| pes-eng | tatoeba-test-v2021-08-07 | 0.60717 | 42.3 | 3757 | 31411 |
+| ckb-deu | flores101-devtest | 0.40117 | 11.6 | 1012 | 25094 |
+| ckb-eng | flores101-devtest | 0.48321 | 21.6 | 1012 | 24721 |
+| ckb-fra | flores101-devtest | 0.44260 | 17.2 | 1012 | 28343 |
+| ckb-por | flores101-devtest | 0.43179 | 16.2 | 1012 | 26519 |
+| fas-eng | flores101-devtest | 0.61134 | 34.4 | 1012 | 24721 |
+| pus-eng | flores101-devtest | 0.49556 | 22.7 | 1012 | 24721 |
+| pus-fra | flores101-devtest | 0.45248 | 17.8 | 1012 | 28343 |
+| tgk-eng | flores101-devtest | 0.53630 | 25.4 | 1012 | 24721 |
+| tgk-fra | flores101-devtest | 0.49084 | 21.0 | 1012 | 28343 |
+| tgk-spa | flores101-devtest | 0.43524 | 15.5 | 1012 | 29199 |
+| ckb-deu | flores200-devtest | 0.40369 | 11.7 | 1012 | 25094 |
+| ckb-eng | flores200-devtest | 0.48447 | 21.5 | 1012 | 24721 |
+| ckb-fra | flores200-devtest | 0.44026 | 17.1 | 1012 | 28343 |
+| ckb-por | flores200-devtest | 0.43192 | 16.4 | 1012 | 26519 |
+| pes-deu | flores200-devtest | 0.51542 | 21.5 | 1012 | 25094 |
+| pes-eng | flores200-devtest | 0.61372 | 34.9 | 1012 | 24721 |
+| pes-fra | flores200-devtest | 0.56347 | 29.2 | 1012 | 28343 |
+| pes-por | flores200-devtest | 0.55676 | 28.5 | 1012 | 26519 |
+| pes-spa | flores200-devtest | 0.48334 | 19.8 | 1012 | 29199 |
+| prs-deu | flores200-devtest | 0.50562 | 21.2 | 1012 | 25094 |
+| prs-eng | flores200-devtest | 0.60716 | 35.1 | 1012 | 24721 |
+| prs-fra | flores200-devtest | 0.54769 | 27.8 | 1012 | 28343 |
+| prs-por | flores200-devtest | 0.54073 | 27.2 | 1012 | 26519 |
+| prs-spa | flores200-devtest | 0.46850 | 18.6 | 1012 | 29199 |
+| tgk-deu | flores200-devtest | 0.43115 | 14.2 | 1012 | 25094 |
+| tgk-eng | flores200-devtest | 0.53705 | 25.6 | 1012 | 24721 |
+| tgk-fra | flores200-devtest | 0.48902 | 20.7 | 1012 | 28343 |
+| tgk-por | flores200-devtest | 0.48519 | 20.7 | 1012 | 26519 |
+| tgk-spa | flores200-devtest | 0.43563 | 15.7 | 1012 | 29199 |
+| fas-deu | ntrex128 | 0.47408 | 16.7 | 1997 | 48761 |
+| fas-eng | ntrex128 | 0.55350 | 26.4 | 1997 | 47673 |
+| fas-fra | ntrex128 | 0.50311 | 22.1 | 1997 | 53481 |
+| fas-por | ntrex128 | 0.48005 | 19.1 | 1997 | 51631 |
+| fas-spa | ntrex128 | 0.50973 | 23.6 | 1997 | 54107 |
+| prs-deu | ntrex128 | 0.45191 | 14.9 | 1997 | 48761 |
+| prs-eng | ntrex128 | 0.54761 | 26.6 | 1997 | 47673 |
+| prs-fra | ntrex128 | 0.47819 | 19.9 | 1997 | 53481 |
+| prs-por | ntrex128 | 0.46241 | 17.4 | 1997 | 51631 |
+| prs-spa | ntrex128 | 0.48712 | 21.4 | 1997 | 54107 |
+| pus-eng | ntrex128 | 0.43901 | 17.4 | 1997 | 47673 |
+| pus-spa | ntrex128 | 0.40812 | 14.1 | 1997 | 54107 |
+| tgk_Cyrl-eng | ntrex128 | 0.46839 | 18.6 | 1997 | 47673 |
+| tgk_Cyrl-fra | ntrex128 | 0.42569 | 15.1 | 1997 | 53481 |
+| tgk_Cyrl-por | ntrex128 | 0.41632 | 13.7 | 1997 | 51631 |
+| tgk_Cyrl-spa | ntrex128 | 0.43763 | 16.8 | 1997 | 54107 |
+| ckb-eng | tico19-test | 0.61905 | 40.1 | 2100 | 56315 |
+| ckb-fra | tico19-test | 0.45070 | 19.7 | 2100 | 64661 |
+| ckb-por | tico19-test | 0.49617 | 22.9 | 2100 | 62729 |
+| ckb-spa | tico19-test | 0.50543 | 24.9 | 2100 | 66563 |
+| fas-eng | tico19-test | 0.64016 | 37.3 | 2100 | 56315 |
+| fas-fra | tico19-test | 0.53319 | 26.1 | 2100 | 64661 |
+| fas-por | tico19-test | 0.58008 | 30.6 | 2100 | 62729 |
+| fas-spa | tico19-test | 0.59239 | 33.3 | 2100 | 66563 |
+| prs-eng | tico19-test | 0.61702 | 34.8 | 2100 | 56824 |
+| prs-fra | tico19-test | 0.51218 | 24.0 | 2100 | 64661 |
+| prs-por | tico19-test | 0.55888 | 28.6 | 2100 | 62729 |
+| prs-spa | tico19-test | 0.57494 | 31.1 | 2100 | 66563 |
+| pus-eng | tico19-test | 0.57586 | 32.1 | 2100 | 56315 |
+| pus-fra | tico19-test | 0.46091 | 19.2 | 2100 | 64661 |
+| pus-por | tico19-test | 0.51033 | 24.1 | 2100 | 62729 |
+| pus-spa | tico19-test | 0.51857 | 25.9 | 2100 | 66563 |
+
+## Citation Information
+
+* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+
+```bibtex
+@article{tiedemann2023democratizing,
+  title={Democratizing neural machine translation with {OPUS-MT}},
+  author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
+  journal={Language Resources and Evaluation},
+  number={58},
+  pages={713--755},
+  year={2023},
+  publisher={Springer Nature},
+  issn={1574-0218},
+  doi={10.1007/s10579-023-09704-w}
+}
+
+@inproceedings{tiedemann-thottingal-2020-opus,
+    title = "{OPUS}-{MT} {--} Building open translation services for the World",
+    author = {Tiedemann, J{\"o}rg  and Thottingal, Santhosh},
+    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Lisboa, Portugal",
+    publisher = "European Association for Machine Translation",
+    url = "https://aclanthology.org/2020.eamt-1.61",
+    pages = "479--480",
+}
+
+@inproceedings{tiedemann-2020-tatoeba,
+    title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
+    author = {Tiedemann, J{\"o}rg},
+    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.wmt-1.139",
+    pages = "1174--1182",
+}
+```
+
+## Acknowledgements
+
+The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/).
+
+## Model conversion info
+
+* transformers version: 4.45.1
+* OPUS-MT git hash: 0882077
+* port time: Tue Oct  8 11:54:09 EEST 2024
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,89 @@
+multi-multi	tatoeba-test-v2020-07-28-v2023-09-26	0.56042	34.0	8920	71316
+ckb-deu	flores101-devtest	0.40117	11.6	1012	25094
+ckb-eng	flores101-devtest	0.48321	21.6	1012	24721
+ckb-fra	flores101-devtest	0.44260	17.2	1012	28343
+ckb-por	flores101-devtest	0.43179	16.2	1012	26519
+fas-eng	flores101-devtest	0.61134	34.4	1012	24721
+pus-eng	flores101-devtest	0.49556	22.7	1012	24721
+pus-fra	flores101-devtest	0.45248	17.8	1012	28343
+tgk-eng	flores101-devtest	0.53630	25.4	1012	24721
+tgk-fra	flores101-devtest	0.49084	21.0	1012	28343
+tgk-spa	flores101-devtest	0.43524	15.5	1012	29199
+ckb-deu	flores200-devtest	0.40369	11.7	1012	25094
+ckb-eng	flores200-devtest	0.48447	21.5	1012	24721
+ckb-fra	flores200-devtest	0.44026	17.1	1012	28343
+ckb-por	flores200-devtest	0.43192	16.4	1012	26519
+ckb-spa	flores200-devtest	0.38880	11.7	1012	29199
+kmr-deu	flores200-devtest	0.32168	6.7	1012	25094
+kmr-eng	flores200-devtest	0.37372	12.4	1012	24721
+kmr-fra	flores200-devtest	0.33796	8.6	1012	28343
+kmr-por	flores200-devtest	0.33604	9.6	1012	26519
+kmr-spa	flores200-devtest	0.32062	7.7	1012	29199
+pes-deu	flores200-devtest	0.51542	21.5	1012	25094
+pes-eng	flores200-devtest	0.61372	34.9	1012	24721
+pes-fra	flores200-devtest	0.56347	29.2	1012	28343
+pes-por	flores200-devtest	0.55676	28.5	1012	26519
+pes-spa	flores200-devtest	0.48334	19.8	1012	29199
+prs-deu	flores200-devtest	0.50562	21.2	1012	25094
+prs-eng	flores200-devtest	0.60716	35.1	1012	24721
+prs-fra	flores200-devtest	0.54769	27.8	1012	28343
+prs-por	flores200-devtest	0.54073	27.2	1012	26519
+prs-spa	flores200-devtest	0.46850	18.6	1012	29199
+tgk-deu	flores200-devtest	0.43115	14.2	1012	25094
+tgk-eng	flores200-devtest	0.53705	25.6	1012	24721
+tgk-fra	flores200-devtest	0.48902	20.7	1012	28343
+tgk-por	flores200-devtest	0.48519	20.7	1012	26519
+tgk-spa	flores200-devtest	0.43563	15.7	1012	29199
+pus-eng	newstest2020	0.37487	13.1	2719	53382
+fas-deu	ntrex128	0.47408	16.7	1997	48761
+fas-eng	ntrex128	0.55350	26.4	1997	47673
+fas-fra	ntrex128	0.50311	22.1	1997	53481
+fas-por	ntrex128	0.48005	19.1	1997	51631
+fas-spa	ntrex128	0.50973	23.6	1997	54107
+kmr-deu	ntrex128	0.32165	6.8	1997	48761
+kmr-eng	ntrex128	0.38189	12.8	1997	47673
+kmr-fra	ntrex128	0.34023	9.6	1997	53481
+kmr-por	ntrex128	0.33306	8.6	1997	51631
+kmr-spa	ntrex128	0.000	0.0	1997	0
+prs-deu	ntrex128	0.45191	14.9	1997	48761
+prs-eng	ntrex128	0.54761	26.6	1997	47673
+prs-fra	ntrex128	0.47819	19.9	1997	53481
+prs-por	ntrex128	0.46241	17.4	1997	51631
+prs-spa	ntrex128	0.48712	21.4	1997	54107
+pus-deu	ntrex128	0.38295	9.8	1997	48761
+pus-eng	ntrex128	0.43901	17.4	1997	47673
+pus-fra	ntrex128	0.39661	12.4	1997	53481
+pus-por	ntrex128	0.38694	11.4	1997	51631
+pus-spa	ntrex128	0.40812	14.1	1997	54107
+tgk_Cyrl-deu	ntrex128	0.38740	10.7	1997	48761
+tgk_Cyrl-eng	ntrex128	0.46839	18.6	1997	47673
+tgk_Cyrl-fra	ntrex128	0.42569	15.1	1997	53481
+tgk_Cyrl-por	ntrex128	0.41632	13.7	1997	51631
+tgk_Cyrl-spa	ntrex128	0.43763	16.8	1997	54107
+zza-eng	tatoeba-test-v2020-07-28	0.12456	0.9	523	3120
+fas-fra	tatoeba-test-v2021-03-30	0.58236	36.6	383	3442
+pes-eng	tatoeba-test-v2021-03-30	0.60756	42.8	3763	31439
+zza-eng	tatoeba-test-v2021-03-30	0.12511	0.9	533	3182
+fas-deu	tatoeba-test-v2021-08-07	0.59737	36.1	3185	25590
+fas-eng	tatoeba-test-v2021-08-07	0.59871	35.8	3762	31480
+fas-fra	tatoeba-test-v2021-08-07	0.58095	36.3	376	3377
+kur_Latn-deu	tatoeba-test-v2021-08-07	0.40276	24.9	223	1323
+kur_Latn-eng	tatoeba-test-v2021-08-07	0.000	0.0	290	0
+pes-eng	tatoeba-test-v2021-08-07	0.60717	42.3	3757	31411
+zza-eng	tatoeba-test-v2021-08-07	0.12989	1.4	529	3162
+ckb-eng	tico19-test	0.61905	40.1	2100	56315
+ckb-fra	tico19-test	0.45070	19.7	2100	64661
+ckb-por	tico19-test	0.49617	22.9	2100	62729
+ckb-spa	tico19-test	0.50543	24.9	2100	66563
+fas-eng	tico19-test	0.64016	37.3	2100	56315
+fas-fra	tico19-test	0.53319	26.1	2100	64661
+fas-por	tico19-test	0.58008	30.6	2100	62729
+fas-spa	tico19-test	0.59239	33.3	2100	66563
+prs-eng	tico19-test	0.61702	34.8	2100	56824
+prs-fra	tico19-test	0.51218	24.0	2100	64661
+prs-por	tico19-test	0.55888	28.6	2100	62729
+prs-spa	tico19-test	0.57494	31.1	2100	66563
+pus-eng	tico19-test	0.57586	32.1	2100	56315
+pus-fra	tico19-test	0.46091	19.2	2100	64661
+pus-por	tico19-test	0.51033	24.1	2100	62729
+pus-spa	tico19-test	0.51857	25.9	2100	66563

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "pytorch-models/opus-mt-tc-bible-big-ira-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": 60955,
+  "decoder_vocab_size": 60956,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 502,
+  "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": 60955,
+  "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": 60956
+}

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      60955
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 60955,
+  "eos_token_id": 502,
+  "forced_eos_token_id": 502,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 60955,
+  "transformers_version": "4.45.1"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c117d5020ee76ac9dc8a996fcc9ab44e4210691a6f5b83674f752dfa761324c9
+size 955378720

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:767745f4e5c174d2c27fb50d75640a289794b2c053825a4ccf77d439133c58df
+size 955429957

source.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:467f88a72be71e523bca01c4ffd970d3466ff3d405b91c6e12f607570ed06dba
+size 885588

special_tokens_map.json

@@ -0,0 +1 @@
+{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

target.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac3b523a6d0e93e46954b126e38bc2fbb9dd285fb312c3fdc8b319fddc3d299a
+size 803985

tokenizer_config.json

@@ -0,0 +1 @@
+{"source_lang": "ira", "target_lang": "deu+eng+fra+por+spa", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "special_tokens_map_file": null, "name_or_path": "marian-models/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30/ira-deu+eng+fra+por+spa", "tokenizer_class": "MarianTokenizer"}