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README.md

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+---
+language:
+- be
+- ru
+- uk
+- zle
+
+tags:
+- translation
+
+license: cc-by-4.0
+model-index:
+- name: opus-mt-tc-big-zle-zle
+  results:
+  - task:
+      name: Translation rus-ukr
+      type: translation
+      args: rus-ukr
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus ukr devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 25.5
+  - task:
+      name: Translation ukr-rus
+      type: translation
+      args: ukr-rus
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr rus devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.3
+  - task:
+      name: Translation bel-rus
+      type: translation
+      args: bel-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bel-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 68.6
+  - task:
+      name: Translation bel-ukr
+      type: translation
+      args: bel-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: bel-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 65.5
+  - task:
+      name: Translation rus-bel
+      type: translation
+      args: rus-bel
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-bel
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.3
+  - task:
+      name: Translation rus-ukr
+      type: translation
+      args: rus-ukr
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-ukr
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 70.1
+  - task:
+      name: Translation ukr-bel
+      type: translation
+      args: ukr-bel
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-bel
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 58.9
+  - task:
+      name: Translation ukr-rus
+      type: translation
+      args: ukr-rus
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-rus
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 75.7
+---
+# opus-mt-tc-big-zle-zle
+
+Neural machine translation model for translating from East Slavic languages (zle) 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: 2022-03-07
+* source language(s): bel rus ukr
+* 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_2022-03-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opusTCv20210807+bt_transformer-big_2022-03-07.zip)
+* more information released models: [OPUS-MT zle-zle README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-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 = [
+    ">>ukr<< Кот мёртвый.",
+    ">>bel<< Джон живе в Нью-Йорку."
+]
+
+model_name = "pytorch-models/opus-mt-tc-big-zle-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:
+#     Кіт мертвий.
+#     Джон жыве ў Нью-Йорку.
+```
+
+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-zle")
+print(pipe(">>ukr<< Кот мёртвый."))
+
+# expected output: Кіт мертвий.
+```
+
+## Benchmarks
+
+* test set translations: [opusTCv20210807+bt_transformer-big_2022-03-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opusTCv20210807+bt_transformer-big_2022-03-07.test.txt)
+* test set scores: [opusTCv20210807+bt_transformer-big_2022-03-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opusTCv20210807+bt_transformer-big_2022-03-07.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-rus | tatoeba-test-v2021-08-07 | 0.82526 | 68.6 | 2500 | 18895 |
+| bel-ukr | tatoeba-test-v2021-08-07 | 0.81036 | 65.5 | 2355 | 15179 |
+| rus-bel | tatoeba-test-v2021-08-07 | 0.66943 | 50.3 | 2500 | 18756 |
+| rus-ukr | tatoeba-test-v2021-08-07 | 0.83639 | 70.1 | 10000 | 60212 |
+| ukr-bel | tatoeba-test-v2021-08-07 | 0.75368 | 58.9 | 2355 | 15175 |
+| ukr-rus | tatoeba-test-v2021-08-07 | 0.86806 | 75.7 | 10000 | 60387 |
+| bel-rus | flores101-devtest | 0.47960 | 14.5 | 1012 | 23295 |
+| bel-ukr | flores101-devtest | 0.47335 | 12.8 | 1012 | 22810 |
+| rus-ukr | flores101-devtest | 0.55287 | 25.5 | 1012 | 22810 |
+| ukr-rus | flores101-devtest | 0.56224 | 28.3 | 1012 | 23295 |
+
+## 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 00:15:39 EET 2022
+* port machine: LM0-400-22516.local

benchmark_results.txt

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+bel-rus	flores101-dev	0.47944	13.8	997	22657
+bel-ukr	flores101-dev	0.47149	12.2	997	21841
+rus-bel	flores101-dev	0.31702	8.0	997	23996
+rus-ukr	flores101-dev	0.54870	24.7	997	21841
+bel-rus	flores101-devtest	0.47960	14.5	1012	23295
+bel-ukr	flores101-devtest	0.47335	12.8	1012	22810
+rus-bel	flores101-devtest	0.31398	8.4	1012	24829
+rus-ukr	flores101-devtest	0.55287	25.5	1012	22810
+ukr-bel	flores101-devtest	0.37165	10.6	1012	24829
+ukr-rus	flores101-devtest	0.56224	28.3	1012	23295
+ukr-bel	flores101-dev	0.37071	10.0	997	23996
+ukr-rus	flores101-dev	0.55575	27.4	997	22657
+bel-rus	tatoeba-test-v2020-07-28	0.82526	68.6	2500	18895
+bel-ukr	tatoeba-test-v2020-07-28	0.81036	65.5	2355	15179
+rus-bel	tatoeba-test-v2020-07-28	0.66942	50.3	2500	18756
+rus-ukr	tatoeba-test-v2020-07-28	0.83639	70.1	10000	60212
+ukr-bel	tatoeba-test-v2020-07-28	0.75362	58.9	2355	15175
+ukr-rus	tatoeba-test-v2020-07-28	0.86806	75.7	10000	60387
+bel-rus	tatoeba-test-v2021-03-30	0.82526	68.6	2500	18895
+bel-ukr	tatoeba-test-v2021-03-30	0.81036	65.5	2355	15179
+rus-bel	tatoeba-test-v2021-03-30	0.66942	50.3	2500	18756
+rus-ukr	tatoeba-test-v2021-03-30	0.83639	70.1	10000	60212
+ukr-bel	tatoeba-test-v2021-03-30	0.75362	58.9	2355	15175
+ukr-rus	tatoeba-test-v2021-03-30	0.86806	75.7	10000	60387
+bel-rus	tatoeba-test-v2021-08-07	0.82526	68.6	2500	18895
+bel-ukr	tatoeba-test-v2021-08-07	0.81036	65.5	2355	15179
+rus-bel	tatoeba-test-v2021-08-07	0.66943	50.3	2500	18756
+rus-ukr	tatoeba-test-v2021-08-07	0.83639	70.1	10000	60212
+ukr-bel	tatoeba-test-v2021-08-07	0.75368	58.9	2355	15175
+ukr-rus	tatoeba-test-v2021-08-07	0.86806	75.7	10000	60387

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+  "scale_embedding": true,
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+  "static_position_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.18.0.dev0",
+  "use_cache": true,
+  "vocab_size": 36263
+}

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tokenizer_config.json

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