Initial commit

.gitattributes

@@ -29,3 +29,4 @@ 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 +1,851 @@
+---
+language:
+- be
+- ca
+- es
+- fr
+- gl
+- it
+- itc
+- pt
+- ro
+- ru
+- rue
+- uk
+- xx
+- zle
+language_bcp47:
+- be
+- ca
+- es
+- fr
+- gl
+- it
+- itc
+- pt
+- ro
+- ru
+- rue
+- uk
+- zle
+
+tags:
+- translation
+- opus-mt-tc
+
+license: cc-by-4.0
+model-index:
+- name: opus-mt-tc-big-zle-itc
+  results:
+  - task:
+      name: Translation bel-cat
+      type: translation
+      args: bel-cat
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel cat devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 16.8
+       - name: chr-F
+         type: chrf
+         value: 0.48374
+  - task:
+      name: Translation bel-fra
+      type: translation
+      args: bel-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 19.4
+       - name: chr-F
+         type: chrf
+         value: 0.51278
+  - task:
+      name: Translation bel-glg
+      type: translation
+      args: bel-glg
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel glg devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.3
+       - name: chr-F
+         type: chrf
+         value: 0.45665
+  - task:
+      name: Translation bel-ita
+      type: translation
+      args: bel-ita
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel ita devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.6
+       - name: chr-F
+         type: chrf
+         value: 0.47204
+  - task:
+      name: Translation bel-por
+      type: translation
+      args: bel-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 17.3
+       - name: chr-F
+         type: chrf
+         value: 0.49561
+  - task:
+      name: Translation bel-ron
+      type: translation
+      args: bel-ron
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel ron devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.9
+       - name: chr-F
+         type: chrf
+         value: 0.46315
+  - task:
+      name: Translation bel-spa
+      type: translation
+      args: bel-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bel spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 15.3
+       - name: chr-F
+         type: chrf
+         value: 0.46011
+  - task:
+      name: Translation rus-ast
+      type: translation
+      args: rus-ast
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus ast devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.6
+       - name: chr-F
+         type: chrf
+         value: 0.45411
+  - task:
+      name: Translation rus-cat
+      type: translation
+      args: rus-cat
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus cat devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.3
+       - name: chr-F
+         type: chrf
+         value: 0.55262
+  - task:
+      name: Translation rus-fra
+      type: translation
+      args: rus-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.9
+       - name: chr-F
+         type: chrf
+         value: 0.59498
+  - task:
+      name: Translation rus-glg
+      type: translation
+      args: rus-glg
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus glg devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.5
+       - name: chr-F
+         type: chrf
+         value: 0.51668
+  - task:
+      name: Translation rus-ita
+      type: translation
+      args: rus-ita
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus ita devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.7
+       - name: chr-F
+         type: chrf
+         value: 0.52402
+  - task:
+      name: Translation rus-oci
+      type: translation
+      args: rus-oci
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus oci devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 12.9
+       - name: chr-F
+         type: chrf
+         value: 0.42301
+  - task:
+      name: Translation rus-por
+      type: translation
+      args: rus-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.4
+       - name: chr-F
+         type: chrf
+         value: 0.58045
+  - task:
+      name: Translation rus-ron
+      type: translation
+      args: rus-ron
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus ron devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.7
+       - name: chr-F
+         type: chrf
+         value: 0.52560
+  - task:
+      name: Translation rus-spa
+      type: translation
+      args: rus-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.8
+       - name: chr-F
+         type: chrf
+         value: 0.50622
+  - task:
+      name: Translation ukr-ast
+      type: translation
+      args: ukr-ast
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr ast devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 14.1
+       - name: chr-F
+         type: chrf
+         value: 0.45629
+  - task:
+      name: Translation ukr-cat
+      type: translation
+      args: ukr-cat
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr cat devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.5
+       - name: chr-F
+         type: chrf
+         value: 0.56383
+  - task:
+      name: Translation ukr-fra
+      type: translation
+      args: ukr-fra
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr fra devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 34.5
+       - name: chr-F
+         type: chrf
+         value: 0.60596
+  - task:
+      name: Translation ukr-glg
+      type: translation
+      args: ukr-glg
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr glg devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+       - name: chr-F
+         type: chrf
+         value: 0.52217
+  - task:
+      name: Translation ukr-ita
+      type: translation
+      args: ukr-ita
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr ita devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.0
+       - name: chr-F
+         type: chrf
+         value: 0.52610
+  - task:
+      name: Translation ukr-oci
+      type: translation
+      args: ukr-oci
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr oci devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 13.7
+       - name: chr-F
+         type: chrf
+         value: 0.42937
+  - task:
+      name: Translation ukr-por
+      type: translation
+      args: ukr-por
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr por devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 32.5
+       - name: chr-F
+         type: chrf
+         value: 0.59036
+  - task:
+      name: Translation ukr-ron
+      type: translation
+      args: ukr-ron
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr ron devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.0
+       - name: chr-F
+         type: chrf
+         value: 0.53883
+  - task:
+      name: Translation ukr-spa
+      type: translation
+      args: ukr-spa
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr spa devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.5
+       - name: chr-F
+         type: chrf
+         value: 0.51018
+  - task:
+      name: Translation bel-fra
+      type: translation
+      args: bel-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bel-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 49.1
+       - name: chr-F
+         type: chrf
+         value: 0.66784
+  - task:
+      name: Translation bel-ita
+      type: translation
+      args: bel-ita
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bel-ita
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 47.6
+       - name: chr-F
+         type: chrf
+         value: 0.64145
+  - task:
+      name: Translation bel-spa
+      type: translation
+      args: bel-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bel-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 46.9
+       - name: chr-F
+         type: chrf
+         value: 0.65485
+  - task:
+      name: Translation rus-fra
+      type: translation
+      args: rus-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.1
+       - name: chr-F
+         type: chrf
+         value: 0.68174
+  - task:
+      name: Translation rus-ita
+      type: translation
+      args: rus-ita
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-ita
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.7
+       - name: chr-F
+         type: chrf
+         value: 0.63277
+  - task:
+      name: Translation rus-por
+      type: translation
+      args: rus-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 42.6
+       - name: chr-F
+         type: chrf
+         value: 0.63606
+  - task:
+      name: Translation rus-ron
+      type: translation
+      args: rus-ron
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-ron
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 37.5
+       - name: chr-F
+         type: chrf
+         value: 0.60796
+  - task:
+      name: Translation rus-spa
+      type: translation
+      args: rus-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.3
+       - name: chr-F
+         type: chrf
+         value: 0.69108
+  - task:
+      name: Translation ukr-cat
+      type: translation
+      args: ukr-cat
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-cat
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.9
+       - name: chr-F
+         type: chrf
+         value: 0.69275
+  - task:
+      name: Translation ukr-fra
+      type: translation
+      args: ukr-fra
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.3
+       - name: chr-F
+         type: chrf
+         value: 0.67392
+  - task:
+      name: Translation ukr-ita
+      type: translation
+      args: ukr-ita
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-ita
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 49.6
+       - name: chr-F
+         type: chrf
+         value: 0.69157
+  - task:
+      name: Translation ukr-por
+      type: translation
+      args: ukr-por
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-por
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 45.0
+       - name: chr-F
+         type: chrf
+         value: 0.64722
+  - task:
+      name: Translation ukr-spa
+      type: translation
+      args: ukr-spa
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.7
+       - name: chr-F
+         type: chrf
+         value: 0.68409
+  - task:
+      name: Translation rus-fra
+      type: translation
+      args: rus-fra
+    dataset:
+      name: newstest2012
+      type: wmt-2012-news
+      args: rus-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.0
+       - name: chr-F
+         type: chrf
+         value: 0.53481
+  - task:
+      name: Translation rus-spa
+      type: translation
+      args: rus-spa
+    dataset:
+      name: newstest2012
+      type: wmt-2012-news
+      args: rus-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.7
+       - name: chr-F
+         type: chrf
+         value: 0.54814
+  - task:
+      name: Translation rus-fra
+      type: translation
+      args: rus-fra
+    dataset:
+      name: newstest2013
+      type: wmt-2013-news
+      args: rus-fra
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 29.0
+       - name: chr-F
+         type: chrf
+         value: 0.55745
+  - task:
+      name: Translation rus-spa
+      type: translation
+      args: rus-spa
+    dataset:
+      name: newstest2013
+      type: wmt-2013-news
+      args: rus-spa
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 31.5
+       - name: chr-F
+         type: chrf
+         value: 0.56582
+---
+# opus-mt-tc-big-zle-itc
+
+## 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 East Slavic languages (zle) to Italic languages (itc).
+
+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**: 2022-08-03
+- **License:** CC-BY-4.0
+- **Language(s):**  
+  - Source Language(s): bel rue rus ukr
+  - Target Language(s): cat fra glg ita lad_Latn por ron spa
+  - Valid Target Language Labels: >>cat<< >>fra<< >>glg<< >>ita<< >>lad_Latn<< >>por<< >>ron<< >>spa<<
+- **Original Model**: [opusTCv20210807_transformer-big_2022-08-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-itc/opusTCv20210807_transformer-big_2022-08-03.zip)
+- **Resources for more information:**
+  - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+  - More information about released models for this language pair: [OPUS-MT zle-itc README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-itc/README.md)
+  - [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/
+
+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. `>>cat<<`
+
+## 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 = [
+    ">>fra<< Вони не мої справжні батьки.",
+    ">>por<< Мне нужно в школу."
+]
+
+model_name = "pytorch-models/opus-mt-tc-big-zle-itc"
+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:
+#     Ce ne sont pas mes vrais parents.
+#     Tenho de ir para a escola.
+```
+
+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-big-zle-itc")
+print(pipe(">>fra<< Вони не мої справжні батьки."))
+
+# expected output: Ce ne sont pas mes vrais parents.
+```
+
+## Training
+
+- **Data**: opusTCv20210807 ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
+- **Pre-processing**: SentencePiece (spm32k,spm32k)
+- **Model Type:**  transformer-big
+- **Original MarianNMT Model**: [opusTCv20210807_transformer-big_2022-08-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-itc/opusTCv20210807_transformer-big_2022-08-03.zip)
+- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
+
+## Evaluation
+
+* test set translations: [opusTCv20210807_transformer-big_2022-08-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-itc/opusTCv20210807_transformer-big_2022-08-03.test.txt)
+* test set scores: [opusTCv20210807_transformer-big_2022-08-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-itc/opusTCv20210807_transformer-big_2022-08-03.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 |
+|----------|---------|-------|-------|-------|--------|
+| bel-fra | tatoeba-test-v2021-08-07 | 0.66784 | 49.1 | 283 | 2005 |
+| bel-ita | tatoeba-test-v2021-08-07 | 0.64145 | 47.6 | 264 | 1681 |
+| bel-spa | tatoeba-test-v2021-08-07 | 0.65485 | 46.9 | 205 | 1412 |
+| rus-fra | tatoeba-test-v2021-08-07 | 0.68174 | 52.1 | 11490 | 80579 |
+| rus-ita | tatoeba-test-v2021-08-07 | 0.63277 | 42.7 | 10045 | 71584 |
+| rus-por | tatoeba-test-v2021-08-07 | 0.63606 | 42.6 | 10000 | 74713 |
+| rus-ron | tatoeba-test-v2021-08-07 | 0.60796 | 37.5 | 782 | 4772 |
+| rus-spa | tatoeba-test-v2021-08-07 | 0.69108 | 51.3 | 10506 | 75246 |
+| ukr-cat | tatoeba-test-v2021-08-07 | 0.69275 | 52.9 | 456 | 2675 |
+| ukr-fra | tatoeba-test-v2021-08-07 | 0.67392 | 51.3 | 10035 | 63227 |
+| ukr-ita | tatoeba-test-v2021-08-07 | 0.69157 | 49.6 | 5000 | 27846 |
+| ukr-por | tatoeba-test-v2021-08-07 | 0.64722 | 45.0 | 3372 | 21315 |
+| ukr-spa | tatoeba-test-v2021-08-07 | 0.68409 | 50.7 | 10115 | 59284 |
+| bel-ast | flores101-devtest | 0.40942 | 8.7 | 1012 | 24572 |
+| bel-cat | flores101-devtest | 0.48374 | 16.8 | 1012 | 27304 |
+| bel-fra | flores101-devtest | 0.51278 | 19.4 | 1012 | 28343 |
+| bel-glg | flores101-devtest | 0.45665 | 15.3 | 1012 | 26582 |
+| bel-ita | flores101-devtest | 0.47204 | 14.6 | 1012 | 27306 |
+| bel-por | flores101-devtest | 0.49561 | 17.3 | 1012 | 26519 |
+| bel-ron | flores101-devtest | 0.46315 | 14.9 | 1012 | 26799 |
+| bel-spa | flores101-devtest | 0.46011 | 15.3 | 1012 | 29199 |
+| rus-ast | flores101-devtest | 0.45411 | 13.6 | 1012 | 24572 |
+| rus-cat | flores101-devtest | 0.55262 | 28.3 | 1012 | 27304 |
+| rus-fra | flores101-devtest | 0.59498 | 32.9 | 1012 | 28343 |
+| rus-glg | flores101-devtest | 0.51668 | 23.5 | 1012 | 26582 |
+| rus-ita | flores101-devtest | 0.52402 | 22.7 | 1012 | 27306 |
+| rus-oci | flores101-devtest | 0.42301 | 12.9 | 1012 | 27305 |
+| rus-por | flores101-devtest | 0.58045 | 31.4 | 1012 | 26519 |
+| rus-ron | flores101-devtest | 0.52560 | 24.7 | 1012 | 26799 |
+| rus-spa | flores101-devtest | 0.50622 | 21.8 | 1012 | 29199 |
+| ukr-ast | flores101-devtest | 0.45629 | 14.1 | 1012 | 24572 |
+| ukr-cat | flores101-devtest | 0.56383 | 29.5 | 1012 | 27304 |
+| ukr-fra | flores101-devtest | 0.60596 | 34.5 | 1012 | 28343 |
+| ukr-glg | flores101-devtest | 0.52217 | 24.2 | 1012 | 26582 |
+| ukr-ita | flores101-devtest | 0.52610 | 23.0 | 1012 | 27306 |
+| ukr-oci | flores101-devtest | 0.42937 | 13.7 | 1012 | 27305 |
+| ukr-por | flores101-devtest | 0.59036 | 32.5 | 1012 | 26519 |
+| ukr-ron | flores101-devtest | 0.53883 | 26.0 | 1012 | 26799 |
+| ukr-spa | flores101-devtest | 0.51018 | 22.5 | 1012 | 29199 |
+| rus-fra | newstest2012 | 0.53481 | 25.0 | 3003 | 78011 |
+| rus-spa | newstest2012 | 0.54814 | 28.7 | 3003 | 79006 |
+| rus-fra | newstest2013 | 0.55745 | 29.0 | 3000 | 70037 |
+| rus-spa | newstest2013 | 0.56582 | 31.5 | 3000 | 70528 |
+
+## Citation Information
+
+* Publications: [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.)
+
+```
+@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 [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
+
+## Model conversion info
+
+* transformers version: 4.16.2
+* OPUS-MT git hash: 8b9f0b0
+* port time: Fri Aug 12 15:10:16 EEST 2022
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,88 @@
+bel-ast	flores101-dev	0.40365	8.6	997	23232
+bel-cat	flores101-dev	0.48240	16.6	997	25962
+bel-fra	flores101-dev	0.51049	18.9	997	26706
+bel-glg	flores101-dev	0.45486	14.8	997	25265
+bel-ita	flores101-dev	0.47154	14.4	997	25840
+bel-oci	flores101-dev	0.36399	8.0	997	25819
+bel-por	flores101-dev	0.48961	16.7	997	25287
+bel-ron	flores101-dev	0.46522	15.0	997	25616
+bel-spa	flores101-dev	0.45442	15.1	997	27793
+rus-ast	flores101-dev	0.45122	13.9	997	23232
+rus-cat	flores101-dev	0.55398	27.5	997	25962
+rus-fra	flores101-dev	0.59981	33.5	997	26706
+rus-glg	flores101-dev	0.51495	23.4	997	25265
+rus-ita	flores101-dev	0.52531	22.8	997	25840
+rus-oci	flores101-dev	0.42042	13.0	997	25819
+rus-por	flores101-dev	0.57848	30.7	997	25287
+rus-ron	flores101-dev	0.53105	25.5	997	25616
+rus-spa	flores101-dev	0.50041	21.7	997	27793
+bel-ast	flores101-devtest	0.40942	8.7	1012	24572
+bel-cat	flores101-devtest	0.48374	16.8	1012	27304
+bel-fra	flores101-devtest	0.51278	19.4	1012	28343
+bel-glg	flores101-devtest	0.45665	15.3	1012	26582
+bel-ita	flores101-devtest	0.47204	14.6	1012	27306
+bel-oci	flores101-devtest	0.36646	8.1	1012	27305
+bel-por	flores101-devtest	0.49561	17.3	1012	26519
+bel-ron	flores101-devtest	0.46315	14.9	1012	26799
+bel-spa	flores101-devtest	0.46011	15.3	1012	29199
+rus-ast	flores101-devtest	0.45411	13.6	1012	24572
+rus-cat	flores101-devtest	0.55262	28.3	1012	27304
+rus-fra	flores101-devtest	0.59498	32.9	1012	28343
+rus-glg	flores101-devtest	0.51668	23.5	1012	26582
+rus-ita	flores101-devtest	0.52402	22.7	1012	27306
+rus-oci	flores101-devtest	0.42301	12.9	1012	27305
+rus-por	flores101-devtest	0.58045	31.4	1012	26519
+rus-ron	flores101-devtest	0.52560	24.7	1012	26799
+rus-spa	flores101-devtest	0.50622	21.8	1012	29199
+ukr-ast	flores101-devtest	0.45629	14.1	1012	24572
+ukr-cat	flores101-devtest	0.56383	29.5	1012	27304
+ukr-fra	flores101-devtest	0.60596	34.5	1012	28343
+ukr-glg	flores101-devtest	0.52217	24.2	1012	26582
+ukr-ita	flores101-devtest	0.52610	23.0	1012	27306
+ukr-oci	flores101-devtest	0.42937	13.7	1012	27305
+ukr-por	flores101-devtest	0.59036	32.5	1012	26519
+ukr-ron	flores101-devtest	0.53883	26.0	1012	26799
+ukr-spa	flores101-devtest	0.51018	22.5	1012	29199
+ukr-ast	flores101-dev	0.45607	14.4	997	23232
+ukr-cat	flores101-dev	0.55788	29.0	997	25962
+ukr-fra	flores101-dev	0.60418	35.1	997	26706
+ukr-glg	flores101-dev	0.51728	23.9	997	25265
+ukr-ita	flores101-dev	0.51952	21.8	997	25840
+ukr-oci	flores101-dev	0.42508	13.8	997	25819
+ukr-por	flores101-dev	0.58233	32.1	997	25287
+ukr-ron	flores101-dev	0.54171	26.5	997	25616
+ukr-spa	flores101-dev	0.50349	22.3	997	27793
+rus-fra	newstest2012	0.53481	25.0	3003	78011
+rus-spa	newstest2012	0.54814	28.7	3003	79006
+rus-fra	newstest2013	0.55745	29.0	3000	70037
+rus-spa	newstest2013	0.56582	31.5	3000	70528
+rus-fra	tatoeba-test-v2020-07-28	0.68104	52.3	10000	70132
+rus-ita	tatoeba-test-v2020-07-28	0.63269	42.7	10000	71254
+rus-ron	tatoeba-test-v2020-07-28	0.60630	37.4	782	4768
+rus-spa	tatoeba-test-v2020-07-28	0.69114	51.3	10000	71496
+ukr-cat	tatoeba-test-v2020-07-28	0.69272	52.9	455	2670
+ukr-fra	tatoeba-test-v2020-07-28	0.67370	51.3	10000	62877
+ukr-spa	tatoeba-test-v2020-07-28	0.68381	50.7	10000	58486
+bel-fra	tatoeba-test-v2021-03-30	0.66694	48.9	285	2017
+bel-ita	tatoeba-test-v2021-03-30	0.64279	47.8	265	1687
+bel-spa	tatoeba-test-v2021-03-30	0.65638	46.9	207	1432
+rus-fra	tatoeba-test-v2021-03-30	0.68151	52.3	10633	74451
+rus-ita	tatoeba-test-v2021-03-30	0.63285	42.7	10010	71323
+rus-ron	tatoeba-test-v2021-03-30	0.60882	37.5	794	4840
+rus-spa	tatoeba-test-v2021-03-30	0.69084	51.3	10272	73506
+ukr-cat	tatoeba-test-v2021-03-30	0.69260	52.9	457	2682
+ukr-fra	tatoeba-test-v2021-03-30	0.67395	51.4	10035	63101
+ukr-spa	tatoeba-test-v2021-03-30	0.68382	50.7	10027	58644
+bel-fra	tatoeba-test-v2021-08-07	0.66784	49.1	283	2005
+bel-ita	tatoeba-test-v2021-08-07	0.64145	47.6	264	1681
+bel-spa	tatoeba-test-v2021-08-07	0.65485	46.9	205	1412
+rus-fra	tatoeba-test-v2021-08-07	0.68174	52.1	11490	80579
+rus-ita	tatoeba-test-v2021-08-07	0.63277	42.7	10045	71584
+rus-por	tatoeba-test-v2021-08-07	0.63606	42.6	10000	74713
+rus-ron	tatoeba-test-v2021-08-07	0.60796	37.5	782	4772
+rus-spa	tatoeba-test-v2021-08-07	0.69108	51.3	10506	75246
+ukr-cat	tatoeba-test-v2021-08-07	0.69275	52.9	456	2675
+ukr-fra	tatoeba-test-v2021-08-07	0.67392	51.3	10035	63227
+ukr-ita	tatoeba-test-v2021-08-07	0.69157	49.6	5000	27846
+ukr-por	tatoeba-test-v2021-08-07	0.64722	45.0	3372	21315
+ukr-spa	tatoeba-test-v2021-08-07	0.68409	50.7	10115	59284

benchmark_translations.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59dfd9c7656714371a8b5bc21af1bf8e83a868af77d193c8aaec7de973cb9edb
+size 18874591

config.json

@@ -0,0 +1,45 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      61465
+    ]
+  ],
+  "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": 61465,
+  "decoder_vocab_size": 61466,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 26818,
+  "forced_eos_token_id": 26818,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 512,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 61465,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.18.0.dev0",
+  "use_cache": true,
+  "vocab_size": 61466
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ec9359673a61cb478e71d2c9ce4bbb9984d524a1bbe49b4c34930d02172cf5e
+size 604694083

source.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:627be4d20619494b4a628a7083b0cadf5eaa6612d19964b08597e6c43162337f
+size 1011490

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 sha256:3ae198e752ec69954b5cad0d2bcae687e2e899960424fb985778a3f11f4ab681
+size 814394

tokenizer_config.json

@@ -0,0 +1 @@
+{"source_lang": "zle", "target_lang": "itc", "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/opusTCv20210807_transformer-big_2022-08-03/zle-itc", "tokenizer_class": "MarianTokenizer"}