Initial commit

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard 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 +1,387 @@
+---
+language:
+- be
+- bg
+- hr
+- ru
+- sh
+- sl
+- sr_Cyrl
+- sr_Latn
+- uk
+- zle
+- zls
+
+tags:
+- translation
+
+license: cc-by-4.0
+model-index:
+- name: opus-mt-tc-big-zls-zle
+  results:
+  - task:
+      name: Translation bul-rus
+      type: translation
+      args: bul-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bul rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.6
+  - task:
+      name: Translation bul-ukr
+      type: translation
+      args: bul-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: bul ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.9
+  - task:
+      name: Translation hrv-rus
+      type: translation
+      args: hrv-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hrv rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.5
+  - task:
+      name: Translation hrv-ukr
+      type: translation
+      args: hrv-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: hrv ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.9
+  - task:
+      name: Translation mkd-rus
+      type: translation
+      args: mkd-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: mkd rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.3
+  - task:
+      name: Translation mkd-ukr
+      type: translation
+      args: mkd-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: mkd ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.5
+  - task:
+      name: Translation slv-rus
+      type: translation
+      args: slv-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: slv rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 22.0
+  - task:
+      name: Translation slv-ukr
+      type: translation
+      args: slv-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: slv ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 20.2
+  - task:
+      name: Translation srp_Cyrl-rus
+      type: translation
+      args: srp_Cyrl-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: srp_Cyrl rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.7
+  - task:
+      name: Translation srp_Cyrl-ukr
+      type: translation
+      args: srp_Cyrl-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: srp_Cyrl ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.4
+  - task:
+      name: Translation bul-rus
+      type: translation
+      args: bul-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bul-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.6
+  - task:
+      name: Translation bul-ukr
+      type: translation
+      args: bul-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bul-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 53.3
+  - task:
+      name: Translation hbs-rus
+      type: translation
+      args: hbs-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hbs-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 58.5
+  - task:
+      name: Translation hbs-ukr
+      type: translation
+      args: hbs-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hbs-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.3
+  - task:
+      name: Translation hrv-ukr
+      type: translation
+      args: hrv-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: hrv-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.0
+  - task:
+      name: Translation slv-rus
+      type: translation
+      args: slv-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: slv-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 27.3
+  - task:
+      name: Translation srp_Cyrl-rus
+      type: translation
+      args: srp_Cyrl-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: srp_Cyrl-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 56.2
+  - task:
+      name: Translation srp_Cyrl-ukr
+      type: translation
+      args: srp_Cyrl-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: srp_Cyrl-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.8
+  - task:
+      name: Translation srp_Latn-rus
+      type: translation
+      args: srp_Latn-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: srp_Latn-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 60.1
+  - task:
+      name: Translation srp_Latn-ukr
+      type: translation
+      args: srp_Latn-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: srp_Latn-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 55.8
+---
+# opus-mt-tc-big-zls-zle
+
+Neural machine translation model for translating from South Slavic languages (zls) to East Slavic languages (zle).
+
+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).
+
+* 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",
+}
+```
+
+## Model info
+
+* Release: 2022-03-23
+* source language(s): bul hbs hrv slv srp_Cyrl srp_Latn
+* target language(s): bel rus ukr
+* valid target language labels: >>bel<< >>rus<< >>ukr<<
+* model: transformer-big
+* data: opusTCv20210807+bt ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
+* tokenization: SentencePiece (spm32k,spm32k)
+* original model: [opusTCv20210807+bt_transformer-big_2022-03-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zle/opusTCv20210807+bt_transformer-big_2022-03-23.zip)
+* more information released models: [OPUS-MT zls-zle README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-zle/README.md)
+* more information about the model: [MarianMT](https://huggingface.co/docs/transformers/model_doc/marian)
+
+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. `>>bel<<`
+
+## Usage
+
+A short example code:
+
+```python
+from transformers import MarianMTModel, MarianTokenizer
+
+src_text = [
+    ">>rus<< Gdje je brigadir?",
+    ">>ukr<< Zovem se Seli."
+]
+
+model_name = "pytorch-models/opus-mt-tc-big-zls-zle"
+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:
+#     Где бригадир?
+#     Мене звати Саллі.
+```
+
+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-zls-zle")
+print(pipe(">>rus<< Gdje je brigadir?"))
+
+# expected output: Где бригадир?
+```
+
+## Benchmarks
+
+* test set translations: [opusTCv20210807+bt_transformer-big_2022-03-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zle/opusTCv20210807+bt_transformer-big_2022-03-23.test.txt)
+* test set scores: [opusTCv20210807+bt_transformer-big_2022-03-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zle/opusTCv20210807+bt_transformer-big_2022-03-23.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 |
+|----------|---------|-------|-------|-------|--------|
+| bul-rus | tatoeba-test-v2021-08-07 | 0.71467 | 52.6 | 1247 | 7870 |
+| bul-ukr | tatoeba-test-v2021-08-07 | 0.71757 | 53.3 | 1020 | 4932 |
+| hbs-rus | tatoeba-test-v2021-08-07 | 0.74593 | 58.5 | 2500 | 14213 |
+| hbs-ukr | tatoeba-test-v2021-08-07 | 0.70244 | 52.3 | 942 | 4961 |
+| hrv-ukr | tatoeba-test-v2021-08-07 | 0.68931 | 50.0 | 389 | 2232 |
+| slv-rus | tatoeba-test-v2021-08-07 | 0.42255 | 27.3 | 657 | 4056 |
+| srp_Cyrl-rus | tatoeba-test-v2021-08-07 | 0.74112 | 56.2 | 881 | 5117 |
+| srp_Cyrl-ukr | tatoeba-test-v2021-08-07 | 0.68915 | 51.8 | 205 | 1061 |
+| srp_Latn-rus | tatoeba-test-v2021-08-07 | 0.75340 | 60.1 | 1483 | 8311 |
+| srp_Latn-ukr | tatoeba-test-v2021-08-07 | 0.73106 | 55.8 | 348 | 1668 |
+| bul-rus | flores101-devtest | 0.54226 | 24.6 | 1012 | 23295 |
+| bul-ukr | flores101-devtest | 0.53382 | 22.9 | 1012 | 22810 |
+| hrv-rus | flores101-devtest | 0.51726 | 23.5 | 1012 | 23295 |
+| hrv-ukr | flores101-devtest | 0.51011 | 21.9 | 1012 | 22810 |
+| mkd-bel | flores101-devtest | 0.40885 | 10.7 | 1012 | 24829 |
+| mkd-rus | flores101-devtest | 0.52509 | 24.3 | 1012 | 23295 |
+| mkd-ukr | flores101-devtest | 0.52021 | 22.5 | 1012 | 22810 |
+| slv-rus | flores101-devtest | 0.50349 | 22.0 | 1012 | 23295 |
+| slv-ukr | flores101-devtest | 0.49156 | 20.2 | 1012 | 22810 |
+| srp_Cyrl-rus | flores101-devtest | 0.53656 | 25.7 | 1012 | 23295 |
+| srp_Cyrl-ukr | flores101-devtest | 0.53623 | 24.4 | 1012 | 22810 |
+
+## 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: 1bdabf7
+* port time: Thu Mar 24 04:08:51 EET 2022
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,52 @@
+bul-bel	flores101-dev	0.26451	5.4	997	23996
+bul-rus	flores101-dev	0.53809	24.5	997	22657
+bul-ukr	flores101-dev	0.53201	23.0	997	21841
+hrv-bel	flores101-dev	0.37822	9.5	997	23996
+hrv-rus	flores101-dev	0.52434	24.3	997	22657
+hrv-ukr	flores101-dev	0.50238	21.3	997	21841
+mkd-bel	flores101-dev	0.39938	10.4	997	23996
+mkd-rus	flores101-dev	0.52767	24.4	997	22657
+mkd-ukr	flores101-dev	0.51569	22.3	997	21841
+slv-bel	flores101-dev	0.26023	5.2	997	23996
+slv-rus	flores101-dev	0.50334	22.5	997	22657
+slv-ukr	flores101-dev	0.48671	19.8	997	21841
+srp_Cyrl-bel	flores101-dev	0.28408	6.5	997	23996
+srp_Cyrl-rus	flores101-dev	0.54202	26.3	997	22657
+srp_Cyrl-ukr	flores101-dev	0.53277	23.9	997	21841
+bul-bel	flores101-devtest	0.26832	5.7	1012	24829
+bul-rus	flores101-devtest	0.54226	24.6	1012	23295
+bul-ukr	flores101-devtest	0.53382	22.9	1012	22810
+hrv-bel	flores101-devtest	0.38693	10.0	1012	24829
+hrv-rus	flores101-devtest	0.51726	23.5	1012	23295
+hrv-ukr	flores101-devtest	0.51011	21.9	1012	22810
+mkd-bel	flores101-devtest	0.40885	10.7	1012	24829
+mkd-rus	flores101-devtest	0.52509	24.3	1012	23295
+mkd-ukr	flores101-devtest	0.52021	22.5	1012	22810
+slv-bel	flores101-devtest	0.25656	5.3	1012	24829
+slv-rus	flores101-devtest	0.50349	22.0	1012	23295
+slv-ukr	flores101-devtest	0.49156	20.2	1012	22810
+srp_Cyrl-bel	flores101-devtest	0.27510	5.9	1012	24829
+srp_Cyrl-rus	flores101-devtest	0.53656	25.7	1012	23295
+srp_Cyrl-ukr	flores101-devtest	0.53623	24.4	1012	22810
+hbs-ukr	tatoeba-test-v2020-07-28	0.70273	52.3	941	4959
+slv-rus	tatoeba-test-v2020-07-28	0.55682	38.0	378	2101
+slv-ukr	tatoeba-test-v2020-07-28	0.33072	19.1	848	3906
+srp_Cyrl-ukr	tatoeba-test-v2020-07-28	0.69049	51.9	204	1059
+bul-ukr	tatoeba-test-v2021-03-30	0.71799	53.4	1022	4943
+hbs-ukr	tatoeba-test-v2021-03-30	0.70251	52.2	953	5022
+hrv-ukr	tatoeba-test-v2021-03-30	0.68797	49.8	393	2258
+slv-rus	tatoeba-test-v2021-03-30	0.54542	37.6	447	2514
+slv-ukr	tatoeba-test-v2021-03-30	0.32763	18.6	916	4237
+srp_Cyrl-ukr	tatoeba-test-v2021-03-30	0.69237	52.1	209	1081
+srp_Latn-ukr	tatoeba-test-v2021-03-30	0.73129	55.7	351	1683
+bul-rus	tatoeba-test-v2021-08-07	0.71467	52.6	1247	7870
+bul-ukr	tatoeba-test-v2021-08-07	0.71757	53.3	1020	4932
+hbs-rus	tatoeba-test-v2021-08-07	0.74593	58.5	2500	14213
+hbs-ukr	tatoeba-test-v2021-08-07	0.70244	52.3	942	4961
+hrv-ukr	tatoeba-test-v2021-08-07	0.68931	50.0	389	2232
+slv-rus	tatoeba-test-v2021-08-07	0.42255	27.3	657	4056
+slv-ukr	tatoeba-test-v2021-08-07	0.31873	16.2	915	4370
+srp_Cyrl-rus	tatoeba-test-v2021-08-07	0.74112	56.2	881	5117
+srp_Cyrl-ukr	tatoeba-test-v2021-08-07	0.68915	51.8	205	1061
+srp_Latn-rus	tatoeba-test-v2021-08-07	0.75340	60.1	1483	8311
+srp_Latn-ukr	tatoeba-test-v2021-08-07	0.73106	55.8	348	1668

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+}

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tokenizer_config.json

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