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 +1,391 @@
+---
+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-zle-zls
+  results:
+  - task:
+      name: Translation rus-bul
+      type: translation
+      args: rus-bul
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus bul devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 28.9
+  - task:
+      name: Translation rus-hrv
+      type: translation
+      args: rus-hrv
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus hrv devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.2
+  - task:
+      name: Translation rus-mkd
+      type: translation
+      args: rus-mkd
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus mkd devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.3
+  - task:
+      name: Translation rus-slv
+      type: translation
+      args: rus-slv
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus slv devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 23.1
+  - task:
+      name: Translation rus-srp_Cyrl
+      type: translation
+      args: rus-srp_Cyrl
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: rus srp_Cyrl devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.1
+  - task:
+      name: Translation ukr-bul
+      type: translation
+      args: ukr-bul
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr bul devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 30.8
+  - task:
+      name: Translation ukr-hrv
+      type: translation
+      args: ukr-hrv
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr hrv devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.6
+  - task:
+      name: Translation ukr-mkd
+      type: translation
+      args: ukr-mkd
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr mkd devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.2
+  - task:
+      name: Translation ukr-slv
+      type: translation
+      args: ukr-slv
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr slv devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 24.2
+  - task:
+      name: Translation ukr-srp_Cyrl
+      type: translation
+      args: ukr-srp_Cyrl
+    dataset:
+      name: flores101-devtest
+      type: flores_101
+      args: ukr srp_Cyrl devtest
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 26.2
+  - task:
+      name: Translation rus-bul
+      type: translation
+      args: rus-bul
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-bul
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 53.7
+  - task:
+      name: Translation rus-hbs
+      type: translation
+      args: rus-hbs
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-hbs
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 49.4
+  - task:
+      name: Translation rus-slv
+      type: translation
+      args: rus-slv
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-slv
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 21.5
+  - task:
+      name: Translation rus-srp_Cyrl
+      type: translation
+      args: rus-srp_Cyrl
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-srp_Cyrl
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 46.1
+  - task:
+      name: Translation rus-srp_Latn
+      type: translation
+      args: rus-srp_Latn
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: rus-srp_Latn
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 51.7
+  - task:
+      name: Translation ukr-bul
+      type: translation
+      args: ukr-bul
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-bul
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 61.3
+  - task:
+      name: Translation ukr-hbs
+      type: translation
+      args: ukr-hbs
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-hbs
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 52.1
+  - task:
+      name: Translation ukr-hrv
+      type: translation
+      args: ukr-hrv
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-hrv
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 50.1
+  - task:
+      name: Translation ukr-srp_Cyrl
+      type: translation
+      args: ukr-srp_Cyrl
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-srp_Cyrl
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 54.7
+  - task:
+      name: Translation ukr-srp_Latn
+      type: translation
+      args: ukr-srp_Latn
+    dataset:
+      name: tatoeba-test-v2021-08-07
+      type: tatoeba_mt
+      args: ukr-srp_Latn
+    metrics:
+       - name: BLEU
+         type: bleu
+         value: 53.4
+---
+# opus-mt-tc-big-zle-zls
+
+Neural machine translation model for translating from East Slavic languages (zle) to South Slavic languages (zls).
+
+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): bel rus ukr
+* target language(s): bul hbs hrv slv srp_Cyrl srp_Latn
+* valid target language labels: >>bul<< >>hbs<< >>hrv<< >>slv<< >>srp_Cyrl<< >>srp_Latn<<
+* 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/zle-zls/opusTCv20210807+bt_transformer-big_2022-03-23.zip)
+* more information released models: [OPUS-MT zle-zls README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-zls/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. `>>bul<<`
+
+## Usage
+
+A short example code:
+
+```python
+from transformers import MarianMTModel, MarianTokenizer
+
+src_text = [
+    ">>bul<< Новы каранавірус вельмі заразны.",
+    ">>srp_Latn<< Моє ім'я — Саллі."
+]
+
+model_name = "pytorch-models/opus-mt-tc-big-zle-zls"
+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:
+#     Короната е силно заразна.
+#     Zovem se Sali.
+```
+
+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-zls")
+print(pipe(">>bul<< Новы каранавірус вельмі заразны."))
+
+# expected output: Короната е силно заразна.
+```
+
+## Benchmarks
+
+* test set translations: [opusTCv20210807+bt_transformer-big_2022-03-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zls/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/zle-zls/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 |
+|----------|---------|-------|-------|-------|--------|
+| rus-bul | tatoeba-test-v2021-08-07 | 0.71515 | 53.7 | 1247 | 8272 |
+| rus-hbs | tatoeba-test-v2021-08-07 | 0.69192 | 49.4 | 2500 | 14736 |
+| rus-slv | tatoeba-test-v2021-08-07 | 0.38051 | 21.5 | 657 | 3969 |
+| rus-srp_Cyrl | tatoeba-test-v2021-08-07 | 0.66622 | 46.1 | 881 | 5407 |
+| rus-srp_Latn | tatoeba-test-v2021-08-07 | 0.70990 | 51.7 | 1483 | 8552 |
+| ukr-bul | tatoeba-test-v2021-08-07 | 0.77283 | 61.3 | 1020 | 5181 |
+| ukr-hbs | tatoeba-test-v2021-08-07 | 0.69401 | 52.1 | 942 | 5130 |
+| ukr-hrv | tatoeba-test-v2021-08-07 | 0.67202 | 50.1 | 389 | 2302 |
+| ukr-srp_Cyrl | tatoeba-test-v2021-08-07 | 0.70064 | 54.7 | 205 | 1112 |
+| ukr-srp_Latn | tatoeba-test-v2021-08-07 | 0.72405 | 53.4 | 348 | 1716 |
+| bel-bul | flores101-devtest | 0.49528 | 16.1 | 1012 | 24700 |
+| bel-hrv | flores101-devtest | 0.46308 | 12.4 | 1012 | 22423 |
+| bel-mkd | flores101-devtest | 0.48608 | 13.5 | 1012 | 24314 |
+| bel-slv | flores101-devtest | 0.44452 | 12.2 | 1012 | 23425 |
+| bel-srp_Cyrl | flores101-devtest | 0.44424 | 12.6 | 1012 | 23456 |
+| rus-bul | flores101-devtest | 0.58653 | 28.9 | 1012 | 24700 |
+| rus-hrv | flores101-devtest | 0.53494 | 23.2 | 1012 | 22423 |
+| rus-mkd | flores101-devtest | 0.55184 | 24.3 | 1012 | 24314 |
+| rus-slv | flores101-devtest | 0.52201 | 23.1 | 1012 | 23425 |
+| rus-srp_Cyrl | flores101-devtest | 0.53038 | 24.1 | 1012 | 23456 |
+| ukr-bul | flores101-devtest | 0.59625 | 30.8 | 1012 | 24700 |
+| ukr-hrv | flores101-devtest | 0.54530 | 24.6 | 1012 | 22423 |
+| ukr-mkd | flores101-devtest | 0.56822 | 26.2 | 1012 | 24314 |
+| ukr-slv | flores101-devtest | 0.53092 | 24.2 | 1012 | 23425 |
+| ukr-srp_Cyrl | flores101-devtest | 0.54618 | 26.2 | 1012 | 23456 |
+
+## 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 00:46:26 EET 2022
+* port machine: LM0-400-22516.local

benchmark_results.txt

@@ -0,0 +1,52 @@
+bel-bul	flores101-dev	0.49247	15.7	997	23520
+bel-hrv	flores101-dev	0.46000	11.9	997	21567
+bel-mkd	flores101-dev	0.47774	12.8	997	23159
+bel-slv	flores101-dev	0.44985	12.5	997	22448
+bel-srp_Cyrl	flores101-dev	0.44253	11.8	997	22384
+rus-bul	flores101-dev	0.57899	27.7	997	23520
+rus-hrv	flores101-dev	0.53388	23.0	997	21567
+rus-mkd	flores101-dev	0.54919	23.6	997	23159
+rus-slv	flores101-dev	0.53010	24.3	997	22448
+rus-srp_Cyrl	flores101-dev	0.53167	24.1	997	22384
+bel-bul	flores101-devtest	0.49528	16.1	1012	24700
+bel-hrv	flores101-devtest	0.46308	12.4	1012	22423
+bel-mkd	flores101-devtest	0.48608	13.5	1012	24314
+bel-slv	flores101-devtest	0.44452	12.2	1012	23425
+bel-srp_Cyrl	flores101-devtest	0.44424	12.6	1012	23456
+rus-bul	flores101-devtest	0.58653	28.9	1012	24700
+rus-hrv	flores101-devtest	0.53494	23.2	1012	22423
+rus-mkd	flores101-devtest	0.55184	24.3	1012	24314
+rus-slv	flores101-devtest	0.52201	23.1	1012	23425
+rus-srp_Cyrl	flores101-devtest	0.53038	24.1	1012	23456
+ukr-bul	flores101-devtest	0.59625	30.8	1012	24700
+ukr-hrv	flores101-devtest	0.54530	24.6	1012	22423
+ukr-mkd	flores101-devtest	0.56822	26.2	1012	24314
+ukr-slv	flores101-devtest	0.53092	24.2	1012	23425
+ukr-srp_Cyrl	flores101-devtest	0.54618	26.2	1012	23456
+ukr-bul	flores101-dev	0.59416	30.6	997	23520
+ukr-hrv	flores101-dev	0.53975	24.3	997	21567
+ukr-mkd	flores101-dev	0.55488	24.9	997	23159
+ukr-slv	flores101-dev	0.53045	24.5	997	22448
+ukr-srp_Cyrl	flores101-dev	0.54306	25.8	997	22384
+rus-slv	tatoeba-test-v2020-07-28	0.50977	34.4	378	2135
+ukr-hbs	tatoeba-test-v2020-07-28	0.69419	52.1	941	5128
+ukr-slv	tatoeba-test-v2020-07-28	0.29535	14.7	848	3823
+ukr-srp_Cyrl	tatoeba-test-v2020-07-28	0.70152	54.7	204	1110
+rus-slv	tatoeba-test-v2021-03-30	0.50384	33.9	447	2547
+ukr-bul	tatoeba-test-v2021-03-30	0.77339	61.4	1022	5192
+ukr-hbs	tatoeba-test-v2021-03-30	0.69451	52.1	953	5194
+ukr-hrv	tatoeba-test-v2021-03-30	0.67148	49.9	393	2330
+ukr-slv	tatoeba-test-v2021-03-30	0.29159	14.2	916	4141
+ukr-srp_Cyrl	tatoeba-test-v2021-03-30	0.70373	54.9	209	1131
+ukr-srp_Latn	tatoeba-test-v2021-03-30	0.72447	53.5	351	1733
+rus-bul	tatoeba-test-v2021-08-07	0.71515	53.7	1247	8272
+rus-hbs	tatoeba-test-v2021-08-07	0.69192	49.4	2500	14736
+rus-slv	tatoeba-test-v2021-08-07	0.38051	21.5	657	3969
+rus-srp_Cyrl	tatoeba-test-v2021-08-07	0.66622	46.1	881	5407
+rus-srp_Latn	tatoeba-test-v2021-08-07	0.70990	51.7	1483	8552
+ukr-bul	tatoeba-test-v2021-08-07	0.77283	61.3	1020	5181
+ukr-hbs	tatoeba-test-v2021-08-07	0.69401	52.1	942	5130
+ukr-hrv	tatoeba-test-v2021-08-07	0.67202	50.1	389	2302
+ukr-slv	tatoeba-test-v2021-08-07	0.28906	14.6	915	4267
+ukr-srp_Cyrl	tatoeba-test-v2021-08-07	0.70064	54.7	205	1112
+ukr-srp_Latn	tatoeba-test-v2021-08-07	0.72405	53.4	348	1716

benchmark_translations.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a45800559823cfaa0dd41a5deb8dd055b6144f5688b38f81de51b66c5557d22
+size 6486635

config.json

@@ -0,0 +1,45 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      57829
+    ]
+  ],
+  "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": 57829,
+  "decoder_vocab_size": 57830,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 11317,
+  "forced_eos_token_id": 11317,
+  "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": 57829,
+  "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": 57830
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3474e85e43ceb3c5f52d2aceeed6979bfd38340200073e31c724a713730ab45e
+size 589793795

source.spm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65b06b918b96b013d576aec6060f5ff70b65c38b986da107c06f3006638e07fc
+size 1008545

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:ae10d5dc2d9be8bf00def389730a37432fbc27c34b5404ee5fd547623778ef8e
+size 902152

tokenizer_config.json

@@ -0,0 +1 @@
+{"source_lang": "zle", "target_lang": "zls", "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+bt_transformer-big_2022-03-23/zle-zls", "tokenizer_class": "MarianTokenizer"}