Datasets:

ftopal
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huggingface-models-embeddings

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train · 241k rows

sha null	last_modified null	library_name stringclasses 154 values	text stringlengths 1 900k	metadata stringlengths 2 348k	pipeline_tag stringclasses 45 values	id stringlengths 5 122	tags sequencelengths 1 1.84k	created_at stringlengths 25 25	arxiv sequencelengths 0 201	languages sequencelengths 0 1.83k	tags_str stringlengths 17 9.34k	text_str stringlengths 0 389k	text_lists sequencelengths 0 722	processed_texts sequencelengths 1 723	tokens_length sequencelengths 1 723	input_texts sequencelengths 1 61	embeddings sequencelengths 768 768
null	null	transformers	### opus-mt-iso-sv * source languages: iso * target languages: sv * OPUS readme: [iso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.sv \| 25.0 \| 0.430 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-iso-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-sv * source languages: iso * target languages: sv * OPUS readme: iso-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.430	[ "### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.430" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.430" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### ita-ara * source group: Italian * target group: Arabic * OPUS readme: [ita-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md) * model: transformer * source language(s): ita * target language(s): ara * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.ara \| 21.9 \| 0.517 \| ### System Info: - hf_name: ita-ara - source_languages: ita - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ar'] - src_constituents: {'ita'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt - src_alpha3: ita - tgt_alpha3: ara - short_pair: it-ar - chrF2_score: 0.517 - bleu: 21.9 - brevity_penalty: 0.95 - ref_len: 1161.0 - src_name: Italian - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: it - tgt_alpha2: ar - prefer_old: False - long_pair: ita-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ar"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-ar	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-ara * source group: Italian * target group: Arabic * OPUS readme: ita-ara * model: transformer * source language(s): ita * target language(s): ara * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.9, chr-F: 0.517 ### System Info: * hf\_name: ita-ara * source\_languages: ita * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ar'] * src\_constituents: {'ita'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: ara * short\_pair: it-ar * chrF2\_score: 0.517 * bleu: 21.9 * brevity\_penalty: 0.95 * ref\_len: 1161.0 * src\_name: Italian * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: it * tgt\_alpha2: ar * prefer\_old: False * long\_pair: ita-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ita-ara\n* source\\_languages: ita\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ar']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ara\n* short\\_pair: it-ar\n* chrF2\\_score: 0.517\n* bleu: 21.9\n* brevity\\_penalty: 0.95\n* ref\\_len: 1161.0\n* src\\_name: Italian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ita-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ita-ara\n* source\\_languages: ita\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ar']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ara\n* short\\_pair: it-ar\n* chrF2\\_score: 0.517\n* bleu: 21.9\n* brevity\\_penalty: 0.95\n* ref\\_len: 1161.0\n* src\\_name: Italian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ita-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 115, 435 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517" ]	[ -0.10135532915592194, 0.06101307272911072, -0.003326375037431717, 0.05447622016072273, 0.05113215371966362, 0.05495109409093857, 0.15556548535823822, 0.1435590386390686, -0.01029023714363575, -0.03216748684644699, 0.0867191031575203, 0.04781186953186989, 0.0786222293972969, 0.12368364632129669, -0.006436137482523918, -0.14595796167850494, 0.044158268719911575, 0.010296178050339222, -0.08166134357452393, 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null	null	transformers	### ita-bul * source group: Italian * target group: Bulgarian * OPUS readme: [ita-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md) * model: transformer * source language(s): ita * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.bul \| 47.9 \| 0.664 \| ### System Info: - hf_name: ita-bul - source_languages: ita - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'bg'] - src_constituents: {'ita'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt - src_alpha3: ita - tgt_alpha3: bul - short_pair: it-bg - chrF2_score: 0.664 - bleu: 47.9 - brevity_penalty: 0.961 - ref_len: 16512.0 - src_name: Italian - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: it - tgt_alpha2: bg - prefer_old: False - long_pair: ita-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "bg"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-bg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-bul * source group: Italian * target group: Bulgarian * OPUS readme: ita-bul * model: transformer * source language(s): ita * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 47.9, chr-F: 0.664 ### System Info: * hf\_name: ita-bul * source\_languages: ita * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'bg'] * src\_constituents: {'ita'} * tgt\_constituents: {'bul', 'bul\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: bul * short\_pair: it-bg * chrF2\_score: 0.664 * bleu: 47.9 * brevity\_penalty: 0.961 * ref\_len: 16512.0 * src\_name: Italian * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: it * tgt\_alpha2: bg * prefer\_old: False * long\_pair: ita-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664", "### System Info:\n\n\n* hf\\_name: ita-bul\n* source\\_languages: ita\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'bg']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: bul\n* short\\_pair: it-bg\n* chrF2\\_score: 0.664\n* bleu: 47.9\n* brevity\\_penalty: 0.961\n* ref\\_len: 16512.0\n* src\\_name: Italian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ita-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664", "### System Info:\n\n\n* hf\\_name: ita-bul\n* source\\_languages: ita\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'bg']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: bul\n* short\\_pair: it-bg\n* chrF2\\_score: 0.664\n* bleu: 47.9\n* brevity\\_penalty: 0.961\n* ref\\_len: 16512.0\n* src\\_name: Italian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ita-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 117, 399 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664" ]	[ -0.09312737733125687, 0.0332382470369339, -0.0032655757386237383, 0.05542821064591408, 0.08193472772836685, 0.05668887868523598, 0.14115189015865326, 0.12741892039775848, 0.04522057995200157, -0.0015415705274790525, 0.07860542088747025, 0.03607899695634842, 0.04050638526678085, 0.12160183489322662, -0.015222813934087753, -0.1637410968542099, 0.05177166312932968, 0.02598418854176998, -0.11473259329795837, 0.12839578092098236, 0.08431825041770935, -0.0027511545922607183, 0.08897188305854797, -0.056341737508773804, -0.013806412927806377, 0.12340502440929413, 0.00874715019017458, 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null	null	transformers	### ita-cat * source group: Italian * target group: Catalan * OPUS readme: [ita-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md) * model: transformer-align * source language(s): ita * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.cat \| 52.5 \| 0.706 \| ### System Info: - hf_name: ita-cat - source_languages: ita - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ca'] - src_constituents: {'ita'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt - src_alpha3: ita - tgt_alpha3: cat - short_pair: it-ca - chrF2_score: 0.706 - bleu: 52.5 - brevity_penalty: 0.993 - ref_len: 2074.0 - src_name: Italian - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: it - tgt_alpha2: ca - prefer_old: False - long_pair: ita-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ca"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-ca	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-cat * source group: Italian * target group: Catalan * OPUS readme: ita-cat * model: transformer-align * source language(s): ita * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.5, chr-F: 0.706 ### System Info: * hf\_name: ita-cat * source\_languages: ita * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ca'] * src\_constituents: {'ita'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: cat * short\_pair: it-ca * chrF2\_score: 0.706 * bleu: 52.5 * brevity\_penalty: 0.993 * ref\_len: 2074.0 * src\_name: Italian * tgt\_name: Catalan * train\_date: 2020-06-16 * src\_alpha2: it * tgt\_alpha2: ca * prefer\_old: False * long\_pair: ita-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706", "### System Info:\n\n\n* hf\\_name: ita-cat\n* source\\_languages: ita\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: cat\n* short\\_pair: it-ca\n* chrF2\\_score: 0.706\n* bleu: 52.5\n* brevity\\_penalty: 0.993\n* ref\\_len: 2074.0\n* src\\_name: Italian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ita-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706", "### System Info:\n\n\n* hf\\_name: ita-cat\n* source\\_languages: ita\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: cat\n* short\\_pair: it-ca\n* chrF2\\_score: 0.706\n* bleu: 52.5\n* brevity\\_penalty: 0.993\n* ref\\_len: 2074.0\n* src\\_name: Italian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ita-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 387 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706" ]	[ -0.12031468749046326, 0.11187778413295746, -0.00263502961024642, 0.04687122628092766, 0.05313744395971298, 0.05210966244339943, 0.07022411376237869, 0.16641521453857422, 0.06571036577224731, 0.002067401073873043, 0.05254886671900749, 0.11070452630519867, 0.0829850435256958, 0.07882539182901382, -0.01835484616458416, -0.1462593674659729, 0.07697377353906631, 0.04883386939764023, -0.04137898609042168, 0.13429822027683258, 0.08379977941513062, 0.01423177495598793, 0.09305010735988617, -0.03228425607085228, -0.02089681662619114, 0.0828891322016716, -0.011678960174322128, -0.08412206172943115, 0.04620800167322159, 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null	null	transformers	### opus-mt-it-de * source languages: it * target languages: de * OPUS readme: [it-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.de \| 49.4 \| 0.678 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-de * source languages: it * target languages: de * OPUS readme: it-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.4, chr-F: 0.678	[ "### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.4, chr-F: 0.678" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.4, chr-F: 0.678" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-it-en * source languages: it * target languages: en * OPUS readme: [it-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.it.en \| 35.3 \| 0.600 \| \| newstest2009.it.en \| 34.0 \| 0.594 \| \| Tatoeba.it.en \| 70.9 \| 0.808 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-en * source languages: it * target languages: en * OPUS readme: it-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.3, chr-F: 0.600 testset: URL, BLEU: 34.0, chr-F: 0.594 testset: URL, BLEU: 70.9, chr-F: 0.808	[ "### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]	[ 61, 136 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]	[ -0.13691087067127228, 0.12062782794237137, -0.0054759681224823, 0.07162473350763321, 0.03320849686861038, 0.01731366664171219, 0.0704839900135994, 0.1466876119375229, 0.008271506987512112, 0.010202434845268726, 0.13580119609832764, 0.10696472972631454, 0.009850392118096352, 0.1450275182723999, -0.0657263696193695, -0.0968242883682251, 0.016472915187478065, 0.06297770887613297, -0.0555456168949604, 0.16058243811130524, 0.08084771037101746, -0.02310037612915039, 0.0812482237815857, -0.05675598606467247, -0.040985558182001114, 0.08491755276918411, 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null	null	transformers	### ita-epo * source group: Italian * target group: Esperanto * OPUS readme: [ita-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md) * model: transformer-align * source language(s): ita * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.epo \| 28.2 \| 0.500 \| ### System Info: - hf_name: ita-epo - source_languages: ita - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'eo'] - src_constituents: {'ita'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt - src_alpha3: ita - tgt_alpha3: epo - short_pair: it-eo - chrF2_score: 0.5 - bleu: 28.2 - brevity_penalty: 0.9570000000000001 - ref_len: 67846.0 - src_name: Italian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: it - tgt_alpha2: eo - prefer_old: False - long_pair: ita-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "eo"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-epo * source group: Italian * target group: Esperanto * OPUS readme: ita-epo * model: transformer-align * source language(s): ita * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.2, chr-F: 0.500 ### System Info: * hf\_name: ita-epo * source\_languages: ita * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'eo'] * src\_constituents: {'ita'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: epo * short\_pair: it-eo * chrF2\_score: 0.5 * bleu: 28.2 * brevity\_penalty: 0.9570000000000001 * ref\_len: 67846.0 * src\_name: Italian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: it * tgt\_alpha2: eo * prefer\_old: False * long\_pair: ita-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500", "### System Info:\n\n\n* hf\\_name: ita-epo\n* source\\_languages: ita\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'eo']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: epo\n* short\\_pair: it-eo\n* chrF2\\_score: 0.5\n* bleu: 28.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 67846.0\n* src\\_name: Italian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ita-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500", "### System Info:\n\n\n* hf\\_name: ita-epo\n* source\\_languages: ita\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'eo']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: epo\n* short\\_pair: it-eo\n* chrF2\\_score: 0.5\n* bleu: 28.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 67846.0\n* src\\_name: Italian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ita-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 396 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500" ]	[ -0.09841214865446091, 0.07696990668773651, -0.004206941928714514, 0.05543188005685806, 0.0743739902973175, 0.05679398775100708, 0.10467411577701569, 0.1552276611328125, 0.027858566492795944, -0.0064889672212302685, 0.06824422627687454, 0.1015797033905983, 0.058940161019563675, 0.17751994729042053, -0.03850735351443291, -0.21085958182811737, 0.045060690492391586, 0.06940999627113342, -0.06450970470905304, 0.11485998332500458, 0.09767111390829086, -0.003313134890049696, 0.10566657781600952, -0.014002273790538311, -0.010458441451191902, 0.1244644895195961, 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null	null	transformers	### opus-mt-it-es * source languages: it * target languages: es * OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.es \| 61.2 \| 0.761 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-es * source languages: it * target languages: es * OPUS readme: it-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 61.2, chr-F: 0.761	[ "### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 61.2, chr-F: 0.761" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 61.2, chr-F: 0.761" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-it-fr * source languages: it * target languages: fr * OPUS readme: [it-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.fr \| 67.9 \| 0.792 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-fr * source languages: it * target languages: fr * OPUS readme: it-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 67.9, chr-F: 0.792	[ "### opus-mt-it-fr\n\n\n* source languages: it\n* target languages: fr\n* OPUS readme: it-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 67.9, chr-F: 0.792" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-fr\n\n\n* source languages: it\n* target languages: fr\n* OPUS readme: it-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 67.9, chr-F: 0.792" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-fr\n\n\n* source languages: it\n* target languages: fr\n* OPUS readme: it-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### ita-isl * source group: Italian * target group: Icelandic * OPUS readme: [ita-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-isl/README.md) * model: transformer-align * source language(s): ita * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.isl \| 28.6 \| 0.524 \| ### System Info: - hf_name: ita-isl - source_languages: ita - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'is'] - src_constituents: {'ita'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.test.txt - src_alpha3: ita - tgt_alpha3: isl - short_pair: it-is - chrF2_score: 0.524 - bleu: 28.6 - brevity_penalty: 0.972 - ref_len: 1459.0 - src_name: Italian - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: it - tgt_alpha2: is - prefer_old: False - long_pair: ita-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "is"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-is	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "is" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-isl * source group: Italian * target group: Icelandic * OPUS readme: ita-isl * model: transformer-align * source language(s): ita * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.6, chr-F: 0.524 ### System Info: * hf\_name: ita-isl * source\_languages: ita * target\_languages: isl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'is'] * src\_constituents: {'ita'} * tgt\_constituents: {'isl'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: isl * short\_pair: it-is * chrF2\_score: 0.524 * bleu: 28.6 * brevity\_penalty: 0.972 * ref\_len: 1459.0 * src\_name: Italian * tgt\_name: Icelandic * train\_date: 2020-06-17 * src\_alpha2: it * tgt\_alpha2: is * prefer\_old: False * long\_pair: ita-isl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-isl\n\n\n* source group: Italian\n* target group: Icelandic\n* OPUS readme: ita-isl\n* model: transformer-align\n* source language(s): ita\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.524", "### System Info:\n\n\n* hf\\_name: ita-isl\n* source\\_languages: ita\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'is']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: isl\n* short\\_pair: it-is\n* chrF2\\_score: 0.524\n* bleu: 28.6\n* brevity\\_penalty: 0.972\n* ref\\_len: 1459.0\n* src\\_name: Italian\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: ita-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-isl\n\n\n* source group: Italian\n* target group: Icelandic\n* OPUS readme: ita-isl\n* model: transformer-align\n* source language(s): ita\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.524", "### System Info:\n\n\n* hf\\_name: ita-isl\n* source\\_languages: ita\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'is']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: isl\n* short\\_pair: it-is\n* chrF2\\_score: 0.524\n* bleu: 28.6\n* brevity\\_penalty: 0.972\n* ref\\_len: 1459.0\n* src\\_name: Italian\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: ita-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 394 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-isl\n\n\n* source group: Italian\n* target group: Icelandic\n* OPUS readme: ita-isl\n* model: transformer-align\n* source language(s): ita\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.524" ]	[ -0.1069856584072113, 0.030242059379816055, -0.0029256055131554604, 0.08005250990390778, 0.0337032750248909, 0.05144660547375679, 0.1012510135769844, 0.16262808442115784, 0.04210082069039345, -0.002045396249741316, 0.08361613750457764, 0.07693114876747131, 0.05995498225092888, 0.10901249945163727, -0.02702934667468071, -0.1647733598947525, 0.06307720392942429, 0.033415671437978745, -0.05069960281252861, 0.15366868674755096, 0.09429088234901428, 0.01998175121843815, 0.08938370645046234, -0.04951440170407295, -0.016396507620811462, 0.08225883543491364, 0.01620963215827942, -0.07747228443622589, 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null	null	transformers	### ita-lit * source group: Italian * target group: Lithuanian * OPUS readme: [ita-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md) * model: transformer-align * source language(s): ita * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.lit \| 38.1 \| 0.652 \| ### System Info: - hf_name: ita-lit - source_languages: ita - target_languages: lit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'lt'] - src_constituents: {'ita'} - tgt_constituents: {'lit'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt - src_alpha3: ita - tgt_alpha3: lit - short_pair: it-lt - chrF2_score: 0.652 - bleu: 38.1 - brevity_penalty: 0.9590000000000001 - ref_len: 1321.0 - src_name: Italian - tgt_name: Lithuanian - train_date: 2020-06-17 - src_alpha2: it - tgt_alpha2: lt - prefer_old: False - long_pair: ita-lit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "lt"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-lt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "lt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "lt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-lit * source group: Italian * target group: Lithuanian * OPUS readme: ita-lit * model: transformer-align * source language(s): ita * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 38.1, chr-F: 0.652 ### System Info: * hf\_name: ita-lit * source\_languages: ita * target\_languages: lit * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'lt'] * src\_constituents: {'ita'} * tgt\_constituents: {'lit'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: lit * short\_pair: it-lt * chrF2\_score: 0.652 * bleu: 38.1 * brevity\_penalty: 0.9590000000000001 * ref\_len: 1321.0 * src\_name: Italian * tgt\_name: Lithuanian * train\_date: 2020-06-17 * src\_alpha2: it * tgt\_alpha2: lt * prefer\_old: False * long\_pair: ita-lit * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-lit\n\n\n* source group: Italian\n* target group: Lithuanian\n* OPUS readme: ita-lit\n* model: transformer-align\n* source language(s): ita\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.1, chr-F: 0.652", "### System Info:\n\n\n* hf\\_name: ita-lit\n* source\\_languages: ita\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'lt']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: lit\n* short\\_pair: it-lt\n* chrF2\\_score: 0.652\n* bleu: 38.1\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1321.0\n* src\\_name: Italian\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: ita-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-lit\n\n\n* source group: Italian\n* target group: Lithuanian\n* OPUS readme: ita-lit\n* model: transformer-align\n* source language(s): ita\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.1, chr-F: 0.652", "### System Info:\n\n\n* hf\\_name: ita-lit\n* source\\_languages: ita\n* target\\_languages: lit\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'lt']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'lit'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: lit\n* short\\_pair: it-lt\n* chrF2\\_score: 0.652\n* bleu: 38.1\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1321.0\n* src\\_name: Italian\n* tgt\\_name: Lithuanian\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: lt\n* prefer\\_old: False\n* long\\_pair: ita-lit\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 121, 392 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-lit\n\n\n* source group: Italian\n* target group: Lithuanian\n* OPUS readme: ita-lit\n* model: transformer-align\n* source language(s): ita\n* target language(s): lit\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.1, chr-F: 0.652" ]	[ -0.10620857775211334, 0.030584663152694702, -0.0032386549282819033, 0.06524471938610077, 0.05199934169650078, 0.06462586671113968, 0.1219048872590065, 0.1609313040971756, 0.026172002777457237, -0.01062454842031002, 0.06095699220895767, 0.06815174221992493, 0.039088983088731766, 0.10729397088289261, -0.018346624448895454, -0.15717123448848724, 0.05774475261569023, 0.04318734258413315, -0.09274066239595413, 0.13046731054782867, 0.07980526238679886, 0.01624840497970581, 0.09182661026716232, -0.05752810463309288, -0.02651093527674675, 0.10287578403949738, 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null	null	transformers	### ita-msa * source group: Italian * target group: Malay (macrolanguage) * OPUS readme: [ita-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md) * model: transformer-align * source language(s): ita * target language(s): ind zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.msa \| 26.0 \| 0.536 \| ### System Info: - hf_name: ita-msa - source_languages: ita - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ms'] - src_constituents: {'ita'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt - src_alpha3: ita - tgt_alpha3: msa - short_pair: it-ms - chrF2_score: 0.536 - bleu: 26.0 - brevity_penalty: 0.9209999999999999 - ref_len: 2765.0 - src_name: Italian - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: it - tgt_alpha2: ms - prefer_old: False - long_pair: ita-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ms"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-ms	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "ms" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-msa * source group: Italian * target group: Malay (macrolanguage) * OPUS readme: ita-msa * model: transformer-align * source language(s): ita * target language(s): ind zsm\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.0, chr-F: 0.536 ### System Info: * hf\_name: ita-msa * source\_languages: ita * target\_languages: msa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ms'] * src\_constituents: {'ita'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: msa * short\_pair: it-ms * chrF2\_score: 0.536 * bleu: 26.0 * brevity\_penalty: 0.9209999999999999 * ref\_len: 2765.0 * src\_name: Italian * tgt\_name: Malay (macrolanguage) * train\_date: 2020-06-17 * src\_alpha2: it * tgt\_alpha2: ms * prefer\_old: False * long\_pair: ita-msa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-msa\n\n\n* source group: Italian\n* target group: Malay (macrolanguage)\n* OPUS readme: ita-msa\n* model: transformer-align\n* source language(s): ita\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.536", "### System Info:\n\n\n* hf\\_name: ita-msa\n* source\\_languages: ita\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ms']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: msa\n* short\\_pair: it-ms\n* chrF2\\_score: 0.536\n* bleu: 26.0\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2765.0\n* src\\_name: Italian\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: ita-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-msa\n\n\n* source group: Italian\n* target group: Malay (macrolanguage)\n* OPUS readme: ita-msa\n* model: transformer-align\n* source language(s): ita\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.536", "### System Info:\n\n\n* hf\\_name: ita-msa\n* source\\_languages: ita\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ms']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: msa\n* short\\_pair: it-ms\n* chrF2\\_score: 0.536\n* bleu: 26.0\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2765.0\n* src\\_name: Italian\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: ita-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 162, 436 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-msa\n\n\n* source group: Italian\n* target group: Malay (macrolanguage)\n* OPUS readme: ita-msa\n* model: transformer-align\n* source language(s): ita\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.536" ]	[ -0.08214453607797623, -0.029466716572642326, -0.00535564124584198, 0.015544738620519638, 0.034068211913108826, 0.011959226801991463, 0.07324188202619553, 0.14169389009475708, -0.06029967591166496, 0.02952599711716175, 0.09327903389930725, 0.048697326332330704, 0.06921792030334473, 0.11572545766830444, -0.06285978853702545, -0.16460566222667694, 0.039629869163036346, 0.05156676843762398, 0.01056823879480362, 0.14666633307933807, 0.10540609806776047, 0.00758836604654789, 0.1042923703789711, -0.04353325068950653, -0.06011585146188736, 0.09667501598596573, 0.021426385268568993, -0.07103243470191956, 0.04499679431319237, 0.06330440193414688, 0.03927908092737198, 0.049521367996931076, -0.010294351726770401, 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null	null	transformers	### opus-mt-it-sv * source languages: it * target languages: sv * OPUS readme: [it-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.sv \| 56.0 \| 0.707 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-sv * source languages: it * target languages: sv * OPUS readme: it-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 56.0, chr-F: 0.707	[ "### opus-mt-it-sv\n\n\n* source languages: it\n* target languages: sv\n* OPUS readme: it-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.0, chr-F: 0.707" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-sv\n\n\n* source languages: it\n* target languages: sv\n* OPUS readme: it-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.0, chr-F: 0.707" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-sv\n\n\n* source languages: it\n* target languages: sv\n* OPUS readme: it-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### ita-ukr * source group: Italian * target group: Ukrainian * OPUS readme: [ita-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ukr/README.md) * model: transformer-align * source language(s): ita * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.ukr \| 45.9 \| 0.657 \| ### System Info: - hf_name: ita-ukr - source_languages: ita - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'uk'] - src_constituents: {'ita'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.test.txt - src_alpha3: ita - tgt_alpha3: ukr - short_pair: it-uk - chrF2_score: 0.657 - bleu: 45.9 - brevity_penalty: 0.9890000000000001 - ref_len: 25353.0 - src_name: Italian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: it - tgt_alpha2: uk - prefer_old: False - long_pair: ita-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "uk"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-ukr * source group: Italian * target group: Ukrainian * OPUS readme: ita-ukr * model: transformer-align * source language(s): ita * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.9, chr-F: 0.657 ### System Info: * hf\_name: ita-ukr * source\_languages: ita * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'uk'] * src\_constituents: {'ita'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: ukr * short\_pair: it-uk * chrF2\_score: 0.657 * bleu: 45.9 * brevity\_penalty: 0.9890000000000001 * ref\_len: 25353.0 * src\_name: Italian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: it * tgt\_alpha2: uk * prefer\_old: False * long\_pair: ita-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-ukr\n\n\n* source group: Italian\n* target group: Ukrainian\n* OPUS readme: ita-ukr\n* model: transformer-align\n* source language(s): ita\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.9, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: ita-ukr\n* source\\_languages: ita\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'uk']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ukr\n* short\\_pair: it-uk\n* chrF2\\_score: 0.657\n* bleu: 45.9\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 25353.0\n* src\\_name: Italian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ita-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-ukr\n\n\n* source group: Italian\n* target group: Ukrainian\n* OPUS readme: ita-ukr\n* model: transformer-align\n* source language(s): ita\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.9, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: ita-ukr\n* source\\_languages: ita\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'uk']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ukr\n* short\\_pair: it-uk\n* chrF2\\_score: 0.657\n* bleu: 45.9\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 25353.0\n* src\\_name: Italian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ita-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 395 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-ukr\n\n\n* source group: Italian\n* target group: Ukrainian\n* OPUS readme: ita-ukr\n* model: transformer-align\n* source language(s): ita\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.9, chr-F: 0.657" ]	[ -0.09790944308042526, 0.012771294452250004, -0.003468866692855954, 0.04180111363530159, 0.0711626335978508, 0.0685892403125763, 0.1348295956850052, 0.14471562206745148, 0.0495658740401268, 0.0034473948180675507, 0.08228889852762222, 0.05906824395060539, 0.03575624153017998, 0.11689018458127975, 0.007520073093473911, -0.1908886432647705, 0.07430487871170044, 0.02784939482808113, -0.10177446901798248, 0.1275865137577057, 0.10234321653842926, -0.006268777884542942, 0.08914165198802948, -0.03770328685641289, -0.02909405343234539, 0.10111987590789795, 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null	null	transformers	### ita-vie * source group: Italian * target group: Vietnamese * OPUS readme: [ita-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-vie/README.md) * model: transformer-align * source language(s): ita * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.vie \| 36.2 \| 0.535 \| ### System Info: - hf_name: ita-vie - source_languages: ita - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'vi'] - src_constituents: {'ita'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.test.txt - src_alpha3: ita - tgt_alpha3: vie - short_pair: it-vi - chrF2_score: 0.535 - bleu: 36.2 - brevity_penalty: 1.0 - ref_len: 2144.0 - src_name: Italian - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: it - tgt_alpha2: vi - prefer_old: False - long_pair: ita-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "vi"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-it-vi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "vi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-vie * source group: Italian * target group: Vietnamese * OPUS readme: ita-vie * model: transformer-align * source language(s): ita * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.2, chr-F: 0.535 ### System Info: * hf\_name: ita-vie * source\_languages: ita * target\_languages: vie * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'vi'] * src\_constituents: {'ita'} * tgt\_constituents: {'vie', 'vie\_Hani'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: vie * short\_pair: it-vi * chrF2\_score: 0.535 * bleu: 36.2 * brevity\_penalty: 1.0 * ref\_len: 2144.0 * src\_name: Italian * tgt\_name: Vietnamese * train\_date: 2020-06-17 * src\_alpha2: it * tgt\_alpha2: vi * prefer\_old: False * long\_pair: ita-vie * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-vie\n\n\n* source group: Italian\n* target group: Vietnamese\n* OPUS readme: ita-vie\n* model: transformer-align\n* source language(s): ita\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.535", "### System Info:\n\n\n* hf\\_name: ita-vie\n* source\\_languages: ita\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'vi']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: vie\n* short\\_pair: it-vi\n* chrF2\\_score: 0.535\n* bleu: 36.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 2144.0\n* src\\_name: Italian\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: ita-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-vie\n\n\n* source group: Italian\n* target group: Vietnamese\n* OPUS readme: ita-vie\n* model: transformer-align\n* source language(s): ita\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.535", "### System Info:\n\n\n* hf\\_name: ita-vie\n* source\\_languages: ita\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'vi']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: vie\n* short\\_pair: it-vi\n* chrF2\\_score: 0.535\n* bleu: 36.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 2144.0\n* src\\_name: Italian\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: it\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: ita-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 393 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-vie\n\n\n* source group: Italian\n* target group: Vietnamese\n* OPUS readme: ita-vie\n* model: transformer-align\n* source language(s): ita\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.2, chr-F: 0.535" ]	[ -0.08558639883995056, 0.06270889192819595, -0.0030880074482411146, 0.0560147687792778, 0.05977053940296173, 0.0289499182254076, 0.08683625608682632, 0.16259995102882385, -0.0014951996272429824, -0.006520489696413279, 0.05528191104531288, 0.06477972865104675, 0.06394616514444351, 0.11545973271131516, -0.022941529750823975, -0.1856723129749298, 0.07287183403968811, 0.06728144735097885, -0.051242291927337646, 0.1348753571510315, 0.08387836813926697, -0.001483633415773511, 0.1327451765537262, -0.01400273572653532, -0.014518596231937408, 0.09377072006464005, 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null	null	transformers	### itc-eng * source group: Italic languages * target group: English * OPUS readme: [itc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md) * model: transformer * source language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2016-enro-roneng.ron.eng \| 36.5 \| 0.628 \| \| newsdiscussdev2015-enfr-fraeng.fra.eng \| 30.9 \| 0.561 \| \| newsdiscusstest2015-enfr-fraeng.fra.eng \| 35.5 \| 0.590 \| \| newssyscomb2009-fraeng.fra.eng \| 29.2 \| 0.560 \| \| newssyscomb2009-itaeng.ita.eng \| 32.2 \| 0.583 \| \| newssyscomb2009-spaeng.spa.eng \| 29.3 \| 0.563 \| \| news-test2008-fraeng.fra.eng \| 25.2 \| 0.531 \| \| news-test2008-spaeng.spa.eng \| 26.3 \| 0.539 \| \| newstest2009-fraeng.fra.eng \| 28.5 \| 0.555 \| \| newstest2009-itaeng.ita.eng \| 31.6 \| 0.578 \| \| newstest2009-spaeng.spa.eng \| 28.7 \| 0.558 \| \| newstest2010-fraeng.fra.eng \| 29.7 \| 0.571 \| \| newstest2010-spaeng.spa.eng \| 32.8 \| 0.593 \| \| newstest2011-fraeng.fra.eng \| 30.9 \| 0.580 \| \| newstest2011-spaeng.spa.eng \| 31.8 \| 0.582 \| \| newstest2012-fraeng.fra.eng \| 31.1 \| 0.576 \| \| newstest2012-spaeng.spa.eng \| 35.0 \| 0.604 \| \| newstest2013-fraeng.fra.eng \| 31.7 \| 0.573 \| \| newstest2013-spaeng.spa.eng \| 32.4 \| 0.589 \| \| newstest2014-fren-fraeng.fra.eng \| 34.0 \| 0.606 \| \| newstest2016-enro-roneng.ron.eng \| 34.8 \| 0.608 \| \| Tatoeba-test.arg-eng.arg.eng \| 41.5 \| 0.528 \| \| Tatoeba-test.ast-eng.ast.eng \| 36.0 \| 0.519 \| \| Tatoeba-test.cat-eng.cat.eng \| 53.7 \| 0.696 \| \| Tatoeba-test.cos-eng.cos.eng \| 56.5 \| 0.640 \| \| Tatoeba-test.egl-eng.egl.eng \| 4.6 \| 0.217 \| \| Tatoeba-test.ext-eng.ext.eng \| 39.1 \| 0.547 \| \| Tatoeba-test.fra-eng.fra.eng \| 53.4 \| 0.688 \| \| Tatoeba-test.frm-eng.frm.eng \| 22.3 \| 0.409 \| \| Tatoeba-test.gcf-eng.gcf.eng \| 18.7 \| 0.308 \| \| Tatoeba-test.glg-eng.glg.eng \| 54.8 \| 0.701 \| \| Tatoeba-test.hat-eng.hat.eng \| 42.6 \| 0.583 \| \| Tatoeba-test.ita-eng.ita.eng \| 64.8 \| 0.767 \| \| Tatoeba-test.lad-eng.lad.eng \| 14.4 \| 0.433 \| \| Tatoeba-test.lat-eng.lat.eng \| 19.5 \| 0.390 \| \| Tatoeba-test.lij-eng.lij.eng \| 8.9 \| 0.280 \| \| Tatoeba-test.lld-eng.lld.eng \| 17.4 \| 0.331 \| \| Tatoeba-test.lmo-eng.lmo.eng \| 10.8 \| 0.306 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 66.0 \| 0.820 \| \| Tatoeba-test.msa-eng.msa.eng \| 40.8 \| 0.590 \| \| Tatoeba-test.multi.eng \| 47.6 \| 0.634 \| \| Tatoeba-test.mwl-eng.mwl.eng \| 41.3 \| 0.707 \| \| Tatoeba-test.oci-eng.oci.eng \| 20.3 \| 0.401 \| \| Tatoeba-test.pap-eng.pap.eng \| 53.9 \| 0.642 \| \| Tatoeba-test.pms-eng.pms.eng \| 12.2 \| 0.334 \| \| Tatoeba-test.por-eng.por.eng \| 59.3 \| 0.734 \| \| Tatoeba-test.roh-eng.roh.eng \| 17.7 \| 0.420 \| \| Tatoeba-test.ron-eng.ron.eng \| 54.5 \| 0.697 \| \| Tatoeba-test.scn-eng.scn.eng \| 40.0 \| 0.443 \| \| Tatoeba-test.spa-eng.spa.eng \| 55.9 \| 0.712 \| \| Tatoeba-test.vec-eng.vec.eng \| 11.2 \| 0.304 \| \| Tatoeba-test.wln-eng.wln.eng \| 20.9 \| 0.360 \| ### System Info: - hf_name: itc-eng - source_languages: itc - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en'] - src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt - src_alpha3: itc - tgt_alpha3: eng - short_pair: itc-en - chrF2_score: 0.634 - bleu: 47.6 - brevity_penalty: 0.981 - ref_len: 77633.0 - src_name: Italic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: itc - tgt_alpha2: en - prefer_old: False - long_pair: itc-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-itc-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### itc-eng * source group: Italic languages * target group: English * OPUS readme: itc-eng * model: transformer * source language(s): arg ast cat cos egl ext fra frm\_Latn gcf\_Latn glg hat ind ita lad lad\_Latn lat\_Latn lij lld\_Latn lmo max\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\_Latn vec wln zlm\_Latn zsm\_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.5, chr-F: 0.628 testset: URL, BLEU: 30.9, chr-F: 0.561 testset: URL, BLEU: 35.5, chr-F: 0.590 testset: URL, BLEU: 29.2, chr-F: 0.560 testset: URL, BLEU: 32.2, chr-F: 0.583 testset: URL, BLEU: 29.3, chr-F: 0.563 testset: URL, BLEU: 25.2, chr-F: 0.531 testset: URL, BLEU: 26.3, chr-F: 0.539 testset: URL, BLEU: 28.5, chr-F: 0.555 testset: URL, BLEU: 31.6, chr-F: 0.578 testset: URL, BLEU: 28.7, chr-F: 0.558 testset: URL, BLEU: 29.7, chr-F: 0.571 testset: URL, BLEU: 32.8, chr-F: 0.593 testset: URL, BLEU: 30.9, chr-F: 0.580 testset: URL, BLEU: 31.8, chr-F: 0.582 testset: URL, BLEU: 31.1, chr-F: 0.576 testset: URL, BLEU: 35.0, chr-F: 0.604 testset: URL, BLEU: 31.7, chr-F: 0.573 testset: URL, BLEU: 32.4, chr-F: 0.589 testset: URL, BLEU: 34.0, chr-F: 0.606 testset: URL, BLEU: 34.8, chr-F: 0.608 testset: URL, BLEU: 41.5, chr-F: 0.528 testset: URL, BLEU: 36.0, chr-F: 0.519 testset: URL, BLEU: 53.7, chr-F: 0.696 testset: URL, BLEU: 56.5, chr-F: 0.640 testset: URL, BLEU: 4.6, chr-F: 0.217 testset: URL, BLEU: 39.1, chr-F: 0.547 testset: URL, BLEU: 53.4, chr-F: 0.688 testset: URL, BLEU: 22.3, chr-F: 0.409 testset: URL, BLEU: 18.7, chr-F: 0.308 testset: URL, BLEU: 54.8, chr-F: 0.701 testset: URL, BLEU: 42.6, chr-F: 0.583 testset: URL, BLEU: 64.8, chr-F: 0.767 testset: URL, BLEU: 14.4, chr-F: 0.433 testset: URL, BLEU: 19.5, chr-F: 0.390 testset: URL, BLEU: 8.9, chr-F: 0.280 testset: URL, BLEU: 17.4, chr-F: 0.331 testset: URL, BLEU: 10.8, chr-F: 0.306 testset: URL, BLEU: 66.0, chr-F: 0.820 testset: URL, BLEU: 40.8, chr-F: 0.590 testset: URL, BLEU: 47.6, chr-F: 0.634 testset: URL, BLEU: 41.3, chr-F: 0.707 testset: URL, BLEU: 20.3, chr-F: 0.401 testset: URL, BLEU: 53.9, chr-F: 0.642 testset: URL, BLEU: 12.2, chr-F: 0.334 testset: URL, BLEU: 59.3, chr-F: 0.734 testset: URL, BLEU: 17.7, chr-F: 0.420 testset: URL, BLEU: 54.5, chr-F: 0.697 testset: URL, BLEU: 40.0, chr-F: 0.443 testset: URL, BLEU: 55.9, chr-F: 0.712 testset: URL, BLEU: 11.2, chr-F: 0.304 testset: URL, BLEU: 20.9, chr-F: 0.360 ### System Info: * hf\_name: itc-eng * source\_languages: itc * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en'] * src\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\_Latn', 'lad\_Latn', 'pcd', 'lat\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'lld\_Latn', 'min', 'tmw\_Latn', 'cos', 'wln', 'zlm\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\_Latn', 'frm\_Latn', 'scn', 'mfe'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: itc * tgt\_alpha3: eng * short\_pair: itc-en * chrF2\_score: 0.634 * bleu: 47.6 * brevity\_penalty: 0.981 * ref\_len: 77633.0 * src\_name: Italic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: itc * tgt\_alpha2: en * prefer\_old: False * long\_pair: itc-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### itc-eng\n\n\n* source group: Italic languages\n* target group: English\n* OPUS readme: itc-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.5, chr-F: 0.628\ntestset: URL, BLEU: 30.9, chr-F: 0.561\ntestset: URL, BLEU: 35.5, chr-F: 0.590\ntestset: URL, BLEU: 29.2, chr-F: 0.560\ntestset: URL, BLEU: 32.2, chr-F: 0.583\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 25.2, chr-F: 0.531\ntestset: URL, BLEU: 26.3, chr-F: 0.539\ntestset: URL, BLEU: 28.5, chr-F: 0.555\ntestset: URL, BLEU: 31.6, chr-F: 0.578\ntestset: URL, BLEU: 28.7, chr-F: 0.558\ntestset: URL, BLEU: 29.7, chr-F: 0.571\ntestset: URL, BLEU: 32.8, chr-F: 0.593\ntestset: URL, BLEU: 30.9, chr-F: 0.580\ntestset: URL, BLEU: 31.8, chr-F: 0.582\ntestset: URL, BLEU: 31.1, chr-F: 0.576\ntestset: URL, BLEU: 35.0, chr-F: 0.604\ntestset: URL, BLEU: 31.7, chr-F: 0.573\ntestset: URL, BLEU: 32.4, chr-F: 0.589\ntestset: URL, BLEU: 34.0, chr-F: 0.606\ntestset: URL, BLEU: 34.8, chr-F: 0.608\ntestset: URL, BLEU: 41.5, chr-F: 0.528\ntestset: URL, BLEU: 36.0, chr-F: 0.519\ntestset: URL, BLEU: 53.7, chr-F: 0.696\ntestset: URL, BLEU: 56.5, chr-F: 0.640\ntestset: URL, BLEU: 4.6, chr-F: 0.217\ntestset: URL, BLEU: 39.1, chr-F: 0.547\ntestset: URL, BLEU: 53.4, chr-F: 0.688\ntestset: URL, BLEU: 22.3, chr-F: 0.409\ntestset: URL, BLEU: 18.7, chr-F: 0.308\ntestset: URL, BLEU: 54.8, chr-F: 0.701\ntestset: URL, BLEU: 42.6, chr-F: 0.583\ntestset: URL, BLEU: 64.8, chr-F: 0.767\ntestset: URL, BLEU: 14.4, chr-F: 0.433\ntestset: URL, BLEU: 19.5, chr-F: 0.390\ntestset: URL, BLEU: 8.9, chr-F: 0.280\ntestset: URL, BLEU: 17.4, chr-F: 0.331\ntestset: URL, BLEU: 10.8, chr-F: 0.306\ntestset: URL, BLEU: 66.0, chr-F: 0.820\ntestset: URL, BLEU: 40.8, chr-F: 0.590\ntestset: URL, BLEU: 47.6, chr-F: 0.634\ntestset: URL, BLEU: 41.3, chr-F: 0.707\ntestset: URL, BLEU: 20.3, chr-F: 0.401\ntestset: URL, BLEU: 53.9, chr-F: 0.642\ntestset: URL, BLEU: 12.2, chr-F: 0.334\ntestset: URL, BLEU: 59.3, chr-F: 0.734\ntestset: URL, BLEU: 17.7, chr-F: 0.420\ntestset: URL, BLEU: 54.5, chr-F: 0.697\ntestset: URL, BLEU: 40.0, chr-F: 0.443\ntestset: URL, BLEU: 55.9, chr-F: 0.712\ntestset: URL, BLEU: 11.2, chr-F: 0.304\ntestset: URL, BLEU: 20.9, chr-F: 0.360", "### System Info:\n\n\n* hf\\_name: itc-eng\n* source\\_languages: itc\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: itc\n* tgt\\_alpha3: eng\n* short\\_pair: itc-en\n* chrF2\\_score: 0.634\n* bleu: 47.6\n* brevity\\_penalty: 0.981\n* ref\\_len: 77633.0\n* src\\_name: Italic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: itc\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: itc-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### itc-eng\n\n\n* source group: Italic languages\n* target group: English\n* OPUS readme: itc-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.5, chr-F: 0.628\ntestset: URL, BLEU: 30.9, chr-F: 0.561\ntestset: URL, BLEU: 35.5, chr-F: 0.590\ntestset: URL, BLEU: 29.2, chr-F: 0.560\ntestset: URL, BLEU: 32.2, chr-F: 0.583\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 25.2, chr-F: 0.531\ntestset: URL, BLEU: 26.3, chr-F: 0.539\ntestset: URL, BLEU: 28.5, chr-F: 0.555\ntestset: URL, BLEU: 31.6, chr-F: 0.578\ntestset: URL, BLEU: 28.7, chr-F: 0.558\ntestset: URL, BLEU: 29.7, chr-F: 0.571\ntestset: URL, BLEU: 32.8, chr-F: 0.593\ntestset: URL, BLEU: 30.9, chr-F: 0.580\ntestset: URL, BLEU: 31.8, chr-F: 0.582\ntestset: URL, BLEU: 31.1, chr-F: 0.576\ntestset: URL, BLEU: 35.0, chr-F: 0.604\ntestset: URL, BLEU: 31.7, chr-F: 0.573\ntestset: URL, BLEU: 32.4, chr-F: 0.589\ntestset: URL, BLEU: 34.0, chr-F: 0.606\ntestset: URL, BLEU: 34.8, chr-F: 0.608\ntestset: URL, BLEU: 41.5, chr-F: 0.528\ntestset: URL, BLEU: 36.0, chr-F: 0.519\ntestset: URL, BLEU: 53.7, chr-F: 0.696\ntestset: URL, BLEU: 56.5, chr-F: 0.640\ntestset: URL, BLEU: 4.6, chr-F: 0.217\ntestset: URL, BLEU: 39.1, chr-F: 0.547\ntestset: URL, BLEU: 53.4, chr-F: 0.688\ntestset: URL, BLEU: 22.3, chr-F: 0.409\ntestset: URL, BLEU: 18.7, chr-F: 0.308\ntestset: URL, BLEU: 54.8, chr-F: 0.701\ntestset: URL, BLEU: 42.6, chr-F: 0.583\ntestset: URL, BLEU: 64.8, chr-F: 0.767\ntestset: URL, BLEU: 14.4, chr-F: 0.433\ntestset: URL, BLEU: 19.5, chr-F: 0.390\ntestset: URL, BLEU: 8.9, chr-F: 0.280\ntestset: URL, BLEU: 17.4, chr-F: 0.331\ntestset: URL, BLEU: 10.8, chr-F: 0.306\ntestset: URL, BLEU: 66.0, chr-F: 0.820\ntestset: URL, BLEU: 40.8, chr-F: 0.590\ntestset: URL, BLEU: 47.6, chr-F: 0.634\ntestset: URL, BLEU: 41.3, chr-F: 0.707\ntestset: URL, BLEU: 20.3, chr-F: 0.401\ntestset: URL, BLEU: 53.9, chr-F: 0.642\ntestset: URL, BLEU: 12.2, chr-F: 0.334\ntestset: URL, BLEU: 59.3, chr-F: 0.734\ntestset: URL, BLEU: 17.7, chr-F: 0.420\ntestset: URL, BLEU: 54.5, chr-F: 0.697\ntestset: URL, BLEU: 40.0, chr-F: 0.443\ntestset: URL, BLEU: 55.9, chr-F: 0.712\ntestset: URL, BLEU: 11.2, chr-F: 0.304\ntestset: URL, BLEU: 20.9, chr-F: 0.360", "### System Info:\n\n\n* hf\\_name: itc-eng\n* source\\_languages: itc\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: itc\n* tgt\\_alpha3: eng\n* short\\_pair: itc-en\n* chrF2\\_score: 0.634\n* bleu: 47.6\n* brevity\\_penalty: 0.981\n* ref\\_len: 77633.0\n* src\\_name: Italic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: itc\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: itc-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 93, 1117, 684 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "passage: ### itc-eng\n\n\n* source group: Italic languages\n* target group: English\n* OPUS readme: itc-eng\n* model: transformer\n* source language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.5, chr-F: 0.628\ntestset: URL, BLEU: 30.9, chr-F: 0.561\ntestset: URL, BLEU: 35.5, chr-F: 0.590\ntestset: URL, BLEU: 29.2, chr-F: 0.560\ntestset: URL, BLEU: 32.2, chr-F: 0.583\ntestset: URL, BLEU: 29.3, chr-F: 0.563\ntestset: URL, BLEU: 25.2, chr-F: 0.531\ntestset: URL, BLEU: 26.3, chr-F: 0.539\ntestset: URL, BLEU: 28.5, chr-F: 0.555\ntestset: URL, BLEU: 31.6, chr-F: 0.578\ntestset: URL, BLEU: 28.7, chr-F: 0.558\ntestset: URL, BLEU: 29.7, chr-F: 0.571\ntestset: URL, BLEU: 32.8, chr-F: 0.593\ntestset: URL, BLEU: 30.9, chr-F: 0.580\ntestset: URL, BLEU: 31.8, chr-F: 0.582\ntestset: URL, BLEU: 31.1, chr-F: 0.576\ntestset: URL, BLEU: 35.0, chr-F: 0.604\ntestset: URL, BLEU: 31.7, chr-F: 0.573\ntestset: URL, BLEU: 32.4, chr-F: 0.589\ntestset: URL, BLEU: 34.0, chr-F: 0.606\ntestset: URL, BLEU: 34.8, chr-F: 0.608\ntestset: URL, BLEU: 41.5, chr-F: 0.528\ntestset: URL, BLEU: 36.0, chr-F: 0.519\ntestset: URL, BLEU: 53.7, chr-F: 0.696\ntestset: URL, BLEU: 56.5, chr-F: 0.640\ntestset: URL, BLEU: 4.6, chr-F: 0.217\ntestset: URL, BLEU: 39.1, chr-F: 0.547\ntestset: URL, BLEU: 53.4, chr-F: 0.688\ntestset: URL, BLEU: 22.3, chr-F: 0.409\ntestset: URL, BLEU: 18.7, chr-F: 0.308\ntestset: URL, BLEU: 54.8, chr-F: 0.701\ntestset: URL, BLEU: 42.6, chr-F: 0.583\ntestset: URL, BLEU: 64.8, chr-F: 0.767\ntestset: URL, BLEU: 14.4, chr-F: 0.433\ntestset: URL, BLEU: 19.5, chr-F: 0.390\ntestset: URL, BLEU: 8.9, chr-F: 0.280\ntestset: URL, BLEU: 17.4, chr-F: 0.331\ntestset: URL, BLEU: 10.8, chr-F: 0.306\ntestset: URL, BLEU: 66.0, chr-F: 0.820\ntestset: URL, BLEU: 40.8, chr-F: 0.590\ntestset: URL, BLEU: 47.6, chr-F: 0.634\ntestset: URL, BLEU: 41.3, chr-F: 0.707\ntestset: URL, BLEU: 20.3, chr-F: 0.401\ntestset: URL, BLEU: 53.9, chr-F: 0.642\ntestset: URL, BLEU: 12.2, chr-F: 0.334\ntestset: URL, BLEU: 59.3, chr-F: 0.734\ntestset: URL, BLEU: 17.7, chr-F: 0.420\ntestset: URL, BLEU: 54.5, chr-F: 0.697\ntestset: URL, BLEU: 40.0, chr-F: 0.443\ntestset: URL, BLEU: 55.9, chr-F: 0.712\ntestset: URL, BLEU: 11.2, chr-F: 0.304\ntestset: URL, BLEU: 20.9, chr-F: 0.360" ]	[ -0.1061769425868988, 0.04926268011331558, -0.008326840586960316, 0.0452243834733963, -0.010989638045430183, 0.06710882484912872, 0.08563682436943054, 0.13540154695510864, 0.04388924315571785, 0.05336679145693779, 0.13379935920238495, 0.09473392367362976, 0.02844938635826111, 0.08769245445728302, -0.036093082278966904, -0.11072827875614166, -0.0020759832113981247, 0.01027023047208786, -0.10962440073490143, 0.11792849004268646, 0.06291162222623825, -0.017171969637274742, 0.06591926515102386, -0.06248075142502785, 0.028817888349294662, 0.01703817769885063, 0.009470860473811626, 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null	null	transformers	### itc-itc * source group: Italic languages * target group: Italic languages * OPUS readme: [itc-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md) * model: transformer * source language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn * target language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip) * test set translations: [opus-2020-07-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt) * test set scores: [opus-2020-07-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.arg-fra.arg.fra \| 40.8 \| 0.501 \| \| Tatoeba-test.arg-spa.arg.spa \| 59.9 \| 0.739 \| \| Tatoeba-test.ast-fra.ast.fra \| 45.4 \| 0.628 \| \| Tatoeba-test.ast-por.ast.por \| 100.0 \| 1.000 \| \| Tatoeba-test.ast-spa.ast.spa \| 46.8 \| 0.636 \| \| Tatoeba-test.cat-fra.cat.fra \| 51.6 \| 0.689 \| \| Tatoeba-test.cat-ita.cat.ita \| 49.2 \| 0.699 \| \| Tatoeba-test.cat-por.cat.por \| 48.0 \| 0.688 \| \| Tatoeba-test.cat-ron.cat.ron \| 35.4 \| 0.719 \| \| Tatoeba-test.cat-spa.cat.spa \| 69.0 \| 0.826 \| \| Tatoeba-test.cos-fra.cos.fra \| 22.3 \| 0.383 \| \| Tatoeba-test.cos-pms.cos.pms \| 3.4 \| 0.199 \| \| Tatoeba-test.egl-fra.egl.fra \| 9.5 \| 0.283 \| \| Tatoeba-test.egl-ita.egl.ita \| 3.0 \| 0.206 \| \| Tatoeba-test.egl-spa.egl.spa \| 3.7 \| 0.194 \| \| Tatoeba-test.fra-arg.fra.arg \| 3.8 \| 0.090 \| \| Tatoeba-test.fra-ast.fra.ast \| 25.9 \| 0.457 \| \| Tatoeba-test.fra-cat.fra.cat \| 42.2 \| 0.637 \| \| Tatoeba-test.fra-cos.fra.cos \| 3.3 \| 0.185 \| \| Tatoeba-test.fra-egl.fra.egl \| 2.2 \| 0.120 \| \| Tatoeba-test.fra-frm.fra.frm \| 1.0 \| 0.191 \| \| Tatoeba-test.fra-gcf.fra.gcf \| 0.2 \| 0.099 \| \| Tatoeba-test.fra-glg.fra.glg \| 40.5 \| 0.625 \| \| Tatoeba-test.fra-hat.fra.hat \| 22.6 \| 0.472 \| \| Tatoeba-test.fra-ita.fra.ita \| 46.7 \| 0.679 \| \| Tatoeba-test.fra-lad.fra.lad \| 15.9 \| 0.345 \| \| Tatoeba-test.fra-lat.fra.lat \| 2.9 \| 0.247 \| \| Tatoeba-test.fra-lij.fra.lij \| 1.0 \| 0.201 \| \| Tatoeba-test.fra-lld.fra.lld \| 1.1 \| 0.257 \| \| Tatoeba-test.fra-lmo.fra.lmo \| 1.2 \| 0.241 \| \| Tatoeba-test.fra-msa.fra.msa \| 0.4 \| 0.111 \| \| Tatoeba-test.fra-oci.fra.oci \| 7.3 \| 0.322 \| \| Tatoeba-test.fra-pap.fra.pap \| 69.8 \| 0.912 \| \| Tatoeba-test.fra-pcd.fra.pcd \| 0.6 \| 0.144 \| \| Tatoeba-test.fra-pms.fra.pms \| 1.0 \| 0.181 \| \| Tatoeba-test.fra-por.fra.por \| 39.7 \| 0.619 \| \| Tatoeba-test.fra-roh.fra.roh \| 5.7 \| 0.286 \| \| Tatoeba-test.fra-ron.fra.ron \| 36.4 \| 0.591 \| \| Tatoeba-test.fra-scn.fra.scn \| 2.1 \| 0.101 \| \| Tatoeba-test.fra-spa.fra.spa \| 47.5 \| 0.670 \| \| Tatoeba-test.fra-srd.fra.srd \| 2.8 \| 0.306 \| \| Tatoeba-test.fra-vec.fra.vec \| 3.0 \| 0.345 \| \| Tatoeba-test.fra-wln.fra.wln \| 3.5 \| 0.212 \| \| Tatoeba-test.frm-fra.frm.fra \| 11.4 \| 0.472 \| \| Tatoeba-test.gcf-fra.gcf.fra \| 7.1 \| 0.267 \| \| Tatoeba-test.gcf-lad.gcf.lad \| 0.0 \| 0.170 \| \| Tatoeba-test.gcf-por.gcf.por \| 0.0 \| 0.230 \| \| Tatoeba-test.gcf-spa.gcf.spa \| 13.4 \| 0.314 \| \| Tatoeba-test.glg-fra.glg.fra \| 54.7 \| 0.702 \| \| Tatoeba-test.glg-ita.glg.ita \| 40.1 \| 0.661 \| \| Tatoeba-test.glg-por.glg.por \| 57.6 \| 0.748 \| \| Tatoeba-test.glg-spa.glg.spa \| 70.0 \| 0.817 \| \| Tatoeba-test.hat-fra.hat.fra \| 14.2 \| 0.419 \| \| Tatoeba-test.hat-spa.hat.spa \| 17.9 \| 0.449 \| \| Tatoeba-test.ita-cat.ita.cat \| 51.0 \| 0.693 \| \| Tatoeba-test.ita-egl.ita.egl \| 1.1 \| 0.114 \| \| Tatoeba-test.ita-fra.ita.fra \| 58.2 \| 0.727 \| \| Tatoeba-test.ita-glg.ita.glg \| 41.7 \| 0.652 \| \| Tatoeba-test.ita-lad.ita.lad \| 17.5 \| 0.419 \| \| Tatoeba-test.ita-lat.ita.lat \| 7.1 \| 0.294 \| \| Tatoeba-test.ita-lij.ita.lij \| 1.0 \| 0.208 \| \| Tatoeba-test.ita-msa.ita.msa \| 0.9 \| 0.115 \| \| Tatoeba-test.ita-oci.ita.oci \| 12.3 \| 0.378 \| \| Tatoeba-test.ita-pms.ita.pms \| 1.6 \| 0.182 \| \| Tatoeba-test.ita-por.ita.por \| 44.8 \| 0.665 \| \| Tatoeba-test.ita-ron.ita.ron \| 43.3 \| 0.653 \| \| Tatoeba-test.ita-spa.ita.spa \| 56.6 \| 0.733 \| \| Tatoeba-test.ita-vec.ita.vec \| 2.0 \| 0.187 \| \| Tatoeba-test.lad-fra.lad.fra \| 30.4 \| 0.458 \| \| Tatoeba-test.lad-gcf.lad.gcf \| 0.0 \| 0.163 \| \| Tatoeba-test.lad-ita.lad.ita \| 12.3 \| 0.426 \| \| Tatoeba-test.lad-lat.lad.lat \| 1.6 \| 0.178 \| \| Tatoeba-test.lad-por.lad.por \| 8.8 \| 0.394 \| \| Tatoeba-test.lad-ron.lad.ron \| 78.3 \| 0.717 \| \| Tatoeba-test.lad-spa.lad.spa \| 28.3 \| 0.531 \| \| Tatoeba-test.lat-fra.lat.fra \| 9.4 \| 0.300 \| \| Tatoeba-test.lat-ita.lat.ita \| 20.0 \| 0.421 \| \| Tatoeba-test.lat-lad.lat.lad \| 3.8 \| 0.173 \| \| Tatoeba-test.lat-por.lat.por \| 13.0 \| 0.354 \| \| Tatoeba-test.lat-ron.lat.ron \| 14.0 \| 0.358 \| \| Tatoeba-test.lat-spa.lat.spa \| 21.8 \| 0.436 \| \| Tatoeba-test.lij-fra.lij.fra \| 13.8 \| 0.346 \| \| Tatoeba-test.lij-ita.lij.ita \| 14.7 \| 0.442 \| \| Tatoeba-test.lld-fra.lld.fra \| 18.8 \| 0.428 \| \| Tatoeba-test.lld-spa.lld.spa \| 11.1 \| 0.377 \| \| Tatoeba-test.lmo-fra.lmo.fra \| 11.0 \| 0.329 \| \| Tatoeba-test.msa-fra.msa.fra \| 0.8 \| 0.129 \| \| Tatoeba-test.msa-ita.msa.ita \| 1.1 \| 0.138 \| \| Tatoeba-test.msa-msa.msa.msa \| 19.1 \| 0.453 \| \| Tatoeba-test.msa-pap.msa.pap \| 0.0 \| 0.037 \| \| Tatoeba-test.msa-por.msa.por \| 2.4 \| 0.155 \| \| Tatoeba-test.msa-ron.msa.ron \| 1.2 \| 0.129 \| \| Tatoeba-test.msa-spa.msa.spa \| 1.0 \| 0.139 \| \| Tatoeba-test.multi.multi \| 40.8 \| 0.599 \| \| Tatoeba-test.mwl-por.mwl.por \| 35.4 \| 0.561 \| \| Tatoeba-test.oci-fra.oci.fra \| 24.5 \| 0.467 \| \| Tatoeba-test.oci-ita.oci.ita \| 23.3 \| 0.493 \| \| Tatoeba-test.oci-spa.oci.spa \| 26.1 \| 0.505 \| \| Tatoeba-test.pap-fra.pap.fra \| 31.0 \| 0.629 \| \| Tatoeba-test.pap-msa.pap.msa \| 0.0 \| 0.051 \| \| Tatoeba-test.pcd-fra.pcd.fra \| 13.8 \| 0.381 \| \| Tatoeba-test.pcd-spa.pcd.spa \| 2.6 \| 0.227 \| \| Tatoeba-test.pms-cos.pms.cos \| 3.4 \| 0.217 \| \| Tatoeba-test.pms-fra.pms.fra \| 13.4 \| 0.347 \| \| Tatoeba-test.pms-ita.pms.ita \| 13.0 \| 0.373 \| \| Tatoeba-test.pms-spa.pms.spa \| 13.1 \| 0.374 \| \| Tatoeba-test.por-ast.por.ast \| 100.0 \| 1.000 \| \| Tatoeba-test.por-cat.por.cat \| 45.1 \| 0.673 \| \| Tatoeba-test.por-fra.por.fra \| 52.5 \| 0.698 \| \| Tatoeba-test.por-gcf.por.gcf \| 16.0 \| 0.128 \| \| Tatoeba-test.por-glg.por.glg \| 57.5 \| 0.750 \| \| Tatoeba-test.por-ita.por.ita \| 50.1 \| 0.710 \| \| Tatoeba-test.por-lad.por.lad \| 15.7 \| 0.341 \| \| Tatoeba-test.por-lat.por.lat \| 11.1 \| 0.362 \| \| Tatoeba-test.por-msa.por.msa \| 2.4 \| 0.136 \| \| Tatoeba-test.por-mwl.por.mwl \| 30.5 \| 0.559 \| \| Tatoeba-test.por-roh.por.roh \| 0.0 \| 0.132 \| \| Tatoeba-test.por-ron.por.ron \| 40.0 \| 0.632 \| \| Tatoeba-test.por-spa.por.spa \| 58.6 \| 0.756 \| \| Tatoeba-test.roh-fra.roh.fra \| 23.1 \| 0.564 \| \| Tatoeba-test.roh-por.roh.por \| 21.4 \| 0.347 \| \| Tatoeba-test.roh-spa.roh.spa \| 19.8 \| 0.489 \| \| Tatoeba-test.ron-cat.ron.cat \| 59.5 \| 0.854 \| \| Tatoeba-test.ron-fra.ron.fra \| 47.4 \| 0.647 \| \| Tatoeba-test.ron-ita.ron.ita \| 45.7 \| 0.683 \| \| Tatoeba-test.ron-lad.ron.lad \| 44.2 \| 0.712 \| \| Tatoeba-test.ron-lat.ron.lat \| 14.8 \| 0.449 \| \| Tatoeba-test.ron-msa.ron.msa \| 1.2 \| 0.098 \| \| Tatoeba-test.ron-por.ron.por \| 42.7 \| 0.650 \| \| Tatoeba-test.ron-spa.ron.spa \| 50.4 \| 0.686 \| \| Tatoeba-test.scn-fra.scn.fra \| 2.4 \| 0.180 \| \| Tatoeba-test.scn-spa.scn.spa \| 5.1 \| 0.212 \| \| Tatoeba-test.spa-arg.spa.arg \| 10.8 \| 0.267 \| \| Tatoeba-test.spa-ast.spa.ast \| 24.6 \| 0.514 \| \| Tatoeba-test.spa-cat.spa.cat \| 61.6 \| 0.783 \| \| Tatoeba-test.spa-egl.spa.egl \| 2.2 \| 0.106 \| \| Tatoeba-test.spa-fra.spa.fra \| 51.1 \| 0.683 \| \| Tatoeba-test.spa-gcf.spa.gcf \| 7.8 \| 0.067 \| \| Tatoeba-test.spa-glg.spa.glg \| 62.8 \| 0.776 \| \| Tatoeba-test.spa-hat.spa.hat \| 16.6 \| 0.398 \| \| Tatoeba-test.spa-ita.spa.ita \| 51.8 \| 0.718 \| \| Tatoeba-test.spa-lad.spa.lad \| 14.6 \| 0.393 \| \| Tatoeba-test.spa-lat.spa.lat \| 21.5 \| 0.486 \| \| Tatoeba-test.spa-lld.spa.lld \| 2.0 \| 0.222 \| \| Tatoeba-test.spa-msa.spa.msa \| 0.8 \| 0.113 \| \| Tatoeba-test.spa-oci.spa.oci \| 10.3 \| 0.377 \| \| Tatoeba-test.spa-pcd.spa.pcd \| 0.9 \| 0.115 \| \| Tatoeba-test.spa-pms.spa.pms \| 1.5 \| 0.194 \| \| Tatoeba-test.spa-por.spa.por \| 49.4 \| 0.698 \| \| Tatoeba-test.spa-roh.spa.roh \| 4.6 \| 0.261 \| \| Tatoeba-test.spa-ron.spa.ron \| 39.1 \| 0.618 \| \| Tatoeba-test.spa-scn.spa.scn \| 2.0 \| 0.113 \| \| Tatoeba-test.spa-wln.spa.wln \| 8.7 \| 0.295 \| \| Tatoeba-test.srd-fra.srd.fra \| 6.7 \| 0.369 \| \| Tatoeba-test.vec-fra.vec.fra \| 59.9 \| 0.608 \| \| Tatoeba-test.vec-ita.vec.ita \| 14.2 \| 0.405 \| \| Tatoeba-test.wln-fra.wln.fra \| 8.9 \| 0.344 \| \| Tatoeba-test.wln-spa.wln.spa \| 9.6 \| 0.298 \| ### System Info: - hf_name: itc-itc - source_languages: itc - target_languages: itc - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc'] - src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt - src_alpha3: itc - tgt_alpha3: itc - short_pair: itc-itc - chrF2_score: 0.599 - bleu: 40.8 - brevity_penalty: 0.968 - ref_len: 77448.0 - src_name: Italic languages - tgt_name: Italic languages - train_date: 2020-07-07 - src_alpha2: itc - tgt_alpha2: itc - prefer_old: False - long_pair: itc-itc - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-itc-itc	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### itc-itc * source group: Italic languages * target group: Italic languages * OPUS readme: itc-itc * model: transformer * source language(s): arg ast bjn cat cos egl fra frm\_Latn gcf\_Latn glg hat ind ita lad lad\_Latn lat\_Grek lat\_Latn lij lld\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\_Latn * target language(s): arg ast bjn cat cos egl fra frm\_Latn gcf\_Latn glg hat ind ita lad lad\_Latn lat\_Grek lat\_Latn lij lld\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.8, chr-F: 0.501 testset: URL, BLEU: 59.9, chr-F: 0.739 testset: URL, BLEU: 45.4, chr-F: 0.628 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 46.8, chr-F: 0.636 testset: URL, BLEU: 51.6, chr-F: 0.689 testset: URL, BLEU: 49.2, chr-F: 0.699 testset: URL, BLEU: 48.0, chr-F: 0.688 testset: URL, BLEU: 35.4, chr-F: 0.719 testset: URL, BLEU: 69.0, chr-F: 0.826 testset: URL, BLEU: 22.3, chr-F: 0.383 testset: URL, BLEU: 3.4, chr-F: 0.199 testset: URL, BLEU: 9.5, chr-F: 0.283 testset: URL, BLEU: 3.0, chr-F: 0.206 testset: URL, BLEU: 3.7, chr-F: 0.194 testset: URL, BLEU: 3.8, chr-F: 0.090 testset: URL, BLEU: 25.9, chr-F: 0.457 testset: URL, BLEU: 42.2, chr-F: 0.637 testset: URL, BLEU: 3.3, chr-F: 0.185 testset: URL, BLEU: 2.2, chr-F: 0.120 testset: URL, BLEU: 1.0, chr-F: 0.191 testset: URL, BLEU: 0.2, chr-F: 0.099 testset: URL, BLEU: 40.5, chr-F: 0.625 testset: URL, BLEU: 22.6, chr-F: 0.472 testset: URL, BLEU: 46.7, chr-F: 0.679 testset: URL, BLEU: 15.9, chr-F: 0.345 testset: URL, BLEU: 2.9, chr-F: 0.247 testset: URL, BLEU: 1.0, chr-F: 0.201 testset: URL, BLEU: 1.1, chr-F: 0.257 testset: URL, BLEU: 1.2, chr-F: 0.241 testset: URL, BLEU: 0.4, chr-F: 0.111 testset: URL, BLEU: 7.3, chr-F: 0.322 testset: URL, BLEU: 69.8, chr-F: 0.912 testset: URL, BLEU: 0.6, chr-F: 0.144 testset: URL, BLEU: 1.0, chr-F: 0.181 testset: URL, BLEU: 39.7, chr-F: 0.619 testset: URL, BLEU: 5.7, chr-F: 0.286 testset: URL, BLEU: 36.4, chr-F: 0.591 testset: URL, BLEU: 2.1, chr-F: 0.101 testset: URL, BLEU: 47.5, chr-F: 0.670 testset: URL, BLEU: 2.8, chr-F: 0.306 testset: URL, BLEU: 3.0, chr-F: 0.345 testset: URL, BLEU: 3.5, chr-F: 0.212 testset: URL, BLEU: 11.4, chr-F: 0.472 testset: URL, BLEU: 7.1, chr-F: 0.267 testset: URL, BLEU: 0.0, chr-F: 0.170 testset: URL, BLEU: 0.0, chr-F: 0.230 testset: URL, BLEU: 13.4, chr-F: 0.314 testset: URL, BLEU: 54.7, chr-F: 0.702 testset: URL, BLEU: 40.1, chr-F: 0.661 testset: URL, BLEU: 57.6, chr-F: 0.748 testset: URL, BLEU: 70.0, chr-F: 0.817 testset: URL, BLEU: 14.2, chr-F: 0.419 testset: URL, BLEU: 17.9, chr-F: 0.449 testset: URL, BLEU: 51.0, chr-F: 0.693 testset: URL, BLEU: 1.1, chr-F: 0.114 testset: URL, BLEU: 58.2, chr-F: 0.727 testset: URL, BLEU: 41.7, chr-F: 0.652 testset: URL, BLEU: 17.5, chr-F: 0.419 testset: URL, BLEU: 7.1, chr-F: 0.294 testset: URL, BLEU: 1.0, chr-F: 0.208 testset: URL, BLEU: 0.9, chr-F: 0.115 testset: URL, BLEU: 12.3, chr-F: 0.378 testset: URL, BLEU: 1.6, chr-F: 0.182 testset: URL, BLEU: 44.8, chr-F: 0.665 testset: URL, BLEU: 43.3, chr-F: 0.653 testset: URL, BLEU: 56.6, chr-F: 0.733 testset: URL, BLEU: 2.0, chr-F: 0.187 testset: URL, BLEU: 30.4, chr-F: 0.458 testset: URL, BLEU: 0.0, chr-F: 0.163 testset: URL, BLEU: 12.3, chr-F: 0.426 testset: URL, BLEU: 1.6, chr-F: 0.178 testset: URL, BLEU: 8.8, chr-F: 0.394 testset: URL, BLEU: 78.3, chr-F: 0.717 testset: URL, BLEU: 28.3, chr-F: 0.531 testset: URL, BLEU: 9.4, chr-F: 0.300 testset: URL, BLEU: 20.0, chr-F: 0.421 testset: URL, BLEU: 3.8, chr-F: 0.173 testset: URL, BLEU: 13.0, chr-F: 0.354 testset: URL, BLEU: 14.0, chr-F: 0.358 testset: URL, BLEU: 21.8, chr-F: 0.436 testset: URL, BLEU: 13.8, chr-F: 0.346 testset: URL, BLEU: 14.7, chr-F: 0.442 testset: URL, BLEU: 18.8, chr-F: 0.428 testset: URL, BLEU: 11.1, chr-F: 0.377 testset: URL, BLEU: 11.0, chr-F: 0.329 testset: URL, BLEU: 0.8, chr-F: 0.129 testset: URL, BLEU: 1.1, chr-F: 0.138 testset: URL, BLEU: 19.1, chr-F: 0.453 testset: URL, BLEU: 0.0, chr-F: 0.037 testset: URL, BLEU: 2.4, chr-F: 0.155 testset: URL, BLEU: 1.2, chr-F: 0.129 testset: URL, BLEU: 1.0, chr-F: 0.139 testset: URL, BLEU: 40.8, chr-F: 0.599 testset: URL, BLEU: 35.4, chr-F: 0.561 testset: URL, BLEU: 24.5, chr-F: 0.467 testset: URL, BLEU: 23.3, chr-F: 0.493 testset: URL, BLEU: 26.1, chr-F: 0.505 testset: URL, BLEU: 31.0, chr-F: 0.629 testset: URL, BLEU: 0.0, chr-F: 0.051 testset: URL, BLEU: 13.8, chr-F: 0.381 testset: URL, BLEU: 2.6, chr-F: 0.227 testset: URL, BLEU: 3.4, chr-F: 0.217 testset: URL, BLEU: 13.4, chr-F: 0.347 testset: URL, BLEU: 13.0, chr-F: 0.373 testset: URL, BLEU: 13.1, chr-F: 0.374 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 45.1, chr-F: 0.673 testset: URL, BLEU: 52.5, chr-F: 0.698 testset: URL, BLEU: 16.0, chr-F: 0.128 testset: URL, BLEU: 57.5, chr-F: 0.750 testset: URL, BLEU: 50.1, chr-F: 0.710 testset: URL, BLEU: 15.7, chr-F: 0.341 testset: URL, BLEU: 11.1, chr-F: 0.362 testset: URL, BLEU: 2.4, chr-F: 0.136 testset: URL, BLEU: 30.5, chr-F: 0.559 testset: URL, BLEU: 0.0, chr-F: 0.132 testset: URL, BLEU: 40.0, chr-F: 0.632 testset: URL, BLEU: 58.6, chr-F: 0.756 testset: URL, BLEU: 23.1, chr-F: 0.564 testset: URL, BLEU: 21.4, chr-F: 0.347 testset: URL, BLEU: 19.8, chr-F: 0.489 testset: URL, BLEU: 59.5, chr-F: 0.854 testset: URL, BLEU: 47.4, chr-F: 0.647 testset: URL, BLEU: 45.7, chr-F: 0.683 testset: URL, BLEU: 44.2, chr-F: 0.712 testset: URL, BLEU: 14.8, chr-F: 0.449 testset: URL, BLEU: 1.2, chr-F: 0.098 testset: URL, BLEU: 42.7, chr-F: 0.650 testset: URL, BLEU: 50.4, chr-F: 0.686 testset: URL, BLEU: 2.4, chr-F: 0.180 testset: URL, BLEU: 5.1, chr-F: 0.212 testset: URL, BLEU: 10.8, chr-F: 0.267 testset: URL, BLEU: 24.6, chr-F: 0.514 testset: URL, BLEU: 61.6, chr-F: 0.783 testset: URL, BLEU: 2.2, chr-F: 0.106 testset: URL, BLEU: 51.1, chr-F: 0.683 testset: URL, BLEU: 7.8, chr-F: 0.067 testset: URL, BLEU: 62.8, chr-F: 0.776 testset: URL, BLEU: 16.6, chr-F: 0.398 testset: URL, BLEU: 51.8, chr-F: 0.718 testset: URL, BLEU: 14.6, chr-F: 0.393 testset: URL, BLEU: 21.5, chr-F: 0.486 testset: URL, BLEU: 2.0, chr-F: 0.222 testset: URL, BLEU: 0.8, chr-F: 0.113 testset: URL, BLEU: 10.3, chr-F: 0.377 testset: URL, BLEU: 0.9, chr-F: 0.115 testset: URL, BLEU: 1.5, chr-F: 0.194 testset: URL, BLEU: 49.4, chr-F: 0.698 testset: URL, BLEU: 4.6, chr-F: 0.261 testset: URL, BLEU: 39.1, chr-F: 0.618 testset: URL, BLEU: 2.0, chr-F: 0.113 testset: URL, BLEU: 8.7, chr-F: 0.295 testset: URL, BLEU: 6.7, chr-F: 0.369 testset: URL, BLEU: 59.9, chr-F: 0.608 testset: URL, BLEU: 14.2, chr-F: 0.405 testset: URL, BLEU: 8.9, chr-F: 0.344 testset: URL, BLEU: 9.6, chr-F: 0.298 ### System Info: * hf\_name: itc-itc * source\_languages: itc * target\_languages: itc * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc'] * src\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\_Latn', 'lad\_Latn', 'pcd', 'lat\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'lld\_Latn', 'min', 'tmw\_Latn', 'cos', 'wln', 'zlm\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\_Latn', 'frm\_Latn', 'scn', 'mfe'} * tgt\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\_Latn', 'lad\_Latn', 'pcd', 'lat\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'lld\_Latn', 'min', 'tmw\_Latn', 'cos', 'wln', 'zlm\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\_Latn', 'frm\_Latn', 'scn', 'mfe'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: itc * tgt\_alpha3: itc * short\_pair: itc-itc * chrF2\_score: 0.599 * bleu: 40.8 * brevity\_penalty: 0.968 * ref\_len: 77448.0 * src\_name: Italic languages * tgt\_name: Italic languages * train\_date: 2020-07-07 * src\_alpha2: itc * tgt\_alpha2: itc * prefer\_old: False * long\_pair: itc-itc * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### itc-itc\n\n\n* source group: Italic languages\n* target group: Italic languages\n* OPUS readme: itc-itc\n* model: transformer\n* source language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* target language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.8, chr-F: 0.501\ntestset: URL, BLEU: 59.9, chr-F: 0.739\ntestset: URL, BLEU: 45.4, chr-F: 0.628\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 46.8, chr-F: 0.636\ntestset: URL, BLEU: 51.6, chr-F: 0.689\ntestset: URL, BLEU: 49.2, chr-F: 0.699\ntestset: URL, BLEU: 48.0, chr-F: 0.688\ntestset: URL, BLEU: 35.4, chr-F: 0.719\ntestset: URL, BLEU: 69.0, chr-F: 0.826\ntestset: URL, BLEU: 22.3, chr-F: 0.383\ntestset: URL, BLEU: 3.4, chr-F: 0.199\ntestset: URL, BLEU: 9.5, chr-F: 0.283\ntestset: URL, BLEU: 3.0, chr-F: 0.206\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 3.8, chr-F: 0.090\ntestset: URL, BLEU: 25.9, chr-F: 0.457\ntestset: URL, BLEU: 42.2, chr-F: 0.637\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 2.2, chr-F: 0.120\ntestset: URL, BLEU: 1.0, chr-F: 0.191\ntestset: URL, BLEU: 0.2, chr-F: 0.099\ntestset: URL, BLEU: 40.5, chr-F: 0.625\ntestset: URL, BLEU: 22.6, chr-F: 0.472\ntestset: URL, BLEU: 46.7, chr-F: 0.679\ntestset: URL, BLEU: 15.9, chr-F: 0.345\ntestset: URL, BLEU: 2.9, chr-F: 0.247\ntestset: URL, BLEU: 1.0, chr-F: 0.201\ntestset: URL, BLEU: 1.1, chr-F: 0.257\ntestset: URL, BLEU: 1.2, chr-F: 0.241\ntestset: URL, BLEU: 0.4, chr-F: 0.111\ntestset: URL, BLEU: 7.3, chr-F: 0.322\ntestset: URL, BLEU: 69.8, chr-F: 0.912\ntestset: URL, BLEU: 0.6, chr-F: 0.144\ntestset: URL, BLEU: 1.0, chr-F: 0.181\ntestset: URL, BLEU: 39.7, chr-F: 0.619\ntestset: URL, BLEU: 5.7, chr-F: 0.286\ntestset: URL, BLEU: 36.4, chr-F: 0.591\ntestset: URL, BLEU: 2.1, chr-F: 0.101\ntestset: URL, BLEU: 47.5, chr-F: 0.670\ntestset: URL, BLEU: 2.8, chr-F: 0.306\ntestset: URL, BLEU: 3.0, chr-F: 0.345\ntestset: URL, BLEU: 3.5, chr-F: 0.212\ntestset: URL, BLEU: 11.4, chr-F: 0.472\ntestset: URL, BLEU: 7.1, chr-F: 0.267\ntestset: URL, BLEU: 0.0, chr-F: 0.170\ntestset: URL, BLEU: 0.0, chr-F: 0.230\ntestset: URL, BLEU: 13.4, chr-F: 0.314\ntestset: URL, BLEU: 54.7, chr-F: 0.702\ntestset: URL, BLEU: 40.1, chr-F: 0.661\ntestset: URL, BLEU: 57.6, chr-F: 0.748\ntestset: URL, BLEU: 70.0, chr-F: 0.817\ntestset: URL, BLEU: 14.2, chr-F: 0.419\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 51.0, chr-F: 0.693\ntestset: URL, BLEU: 1.1, chr-F: 0.114\ntestset: URL, BLEU: 58.2, chr-F: 0.727\ntestset: URL, BLEU: 41.7, chr-F: 0.652\ntestset: URL, BLEU: 17.5, chr-F: 0.419\ntestset: URL, BLEU: 7.1, chr-F: 0.294\ntestset: URL, BLEU: 1.0, chr-F: 0.208\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 12.3, chr-F: 0.378\ntestset: URL, BLEU: 1.6, chr-F: 0.182\ntestset: URL, BLEU: 44.8, chr-F: 0.665\ntestset: URL, BLEU: 43.3, chr-F: 0.653\ntestset: URL, BLEU: 56.6, chr-F: 0.733\ntestset: URL, BLEU: 2.0, chr-F: 0.187\ntestset: URL, BLEU: 30.4, chr-F: 0.458\ntestset: URL, BLEU: 0.0, chr-F: 0.163\ntestset: URL, BLEU: 12.3, chr-F: 0.426\ntestset: URL, BLEU: 1.6, chr-F: 0.178\ntestset: URL, BLEU: 8.8, chr-F: 0.394\ntestset: URL, BLEU: 78.3, chr-F: 0.717\ntestset: URL, BLEU: 28.3, chr-F: 0.531\ntestset: URL, BLEU: 9.4, chr-F: 0.300\ntestset: URL, BLEU: 20.0, chr-F: 0.421\ntestset: URL, BLEU: 3.8, chr-F: 0.173\ntestset: URL, BLEU: 13.0, chr-F: 0.354\ntestset: URL, BLEU: 14.0, chr-F: 0.358\ntestset: URL, BLEU: 21.8, chr-F: 0.436\ntestset: URL, BLEU: 13.8, chr-F: 0.346\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 18.8, chr-F: 0.428\ntestset: URL, BLEU: 11.1, chr-F: 0.377\ntestset: URL, BLEU: 11.0, chr-F: 0.329\ntestset: URL, BLEU: 0.8, chr-F: 0.129\ntestset: URL, BLEU: 1.1, chr-F: 0.138\ntestset: URL, BLEU: 19.1, chr-F: 0.453\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 2.4, chr-F: 0.155\ntestset: URL, BLEU: 1.2, chr-F: 0.129\ntestset: URL, BLEU: 1.0, chr-F: 0.139\ntestset: URL, BLEU: 40.8, chr-F: 0.599\ntestset: URL, BLEU: 35.4, chr-F: 0.561\ntestset: URL, BLEU: 24.5, chr-F: 0.467\ntestset: URL, BLEU: 23.3, chr-F: 0.493\ntestset: URL, BLEU: 26.1, chr-F: 0.505\ntestset: URL, BLEU: 31.0, chr-F: 0.629\ntestset: URL, BLEU: 0.0, chr-F: 0.051\ntestset: URL, BLEU: 13.8, chr-F: 0.381\ntestset: URL, BLEU: 2.6, chr-F: 0.227\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 13.4, chr-F: 0.347\ntestset: URL, BLEU: 13.0, chr-F: 0.373\ntestset: URL, BLEU: 13.1, chr-F: 0.374\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 45.1, chr-F: 0.673\ntestset: URL, BLEU: 52.5, chr-F: 0.698\ntestset: URL, BLEU: 16.0, chr-F: 0.128\ntestset: URL, BLEU: 57.5, chr-F: 0.750\ntestset: URL, BLEU: 50.1, chr-F: 0.710\ntestset: URL, BLEU: 15.7, chr-F: 0.341\ntestset: URL, BLEU: 11.1, chr-F: 0.362\ntestset: URL, BLEU: 2.4, chr-F: 0.136\ntestset: URL, BLEU: 30.5, chr-F: 0.559\ntestset: URL, BLEU: 0.0, chr-F: 0.132\ntestset: URL, BLEU: 40.0, chr-F: 0.632\ntestset: URL, BLEU: 58.6, chr-F: 0.756\ntestset: URL, BLEU: 23.1, chr-F: 0.564\ntestset: URL, BLEU: 21.4, chr-F: 0.347\ntestset: URL, BLEU: 19.8, chr-F: 0.489\ntestset: URL, BLEU: 59.5, chr-F: 0.854\ntestset: URL, BLEU: 47.4, chr-F: 0.647\ntestset: URL, BLEU: 45.7, chr-F: 0.683\ntestset: URL, BLEU: 44.2, chr-F: 0.712\ntestset: URL, BLEU: 14.8, chr-F: 0.449\ntestset: URL, BLEU: 1.2, chr-F: 0.098\ntestset: URL, BLEU: 42.7, chr-F: 0.650\ntestset: URL, BLEU: 50.4, chr-F: 0.686\ntestset: URL, BLEU: 2.4, chr-F: 0.180\ntestset: URL, BLEU: 5.1, chr-F: 0.212\ntestset: URL, BLEU: 10.8, chr-F: 0.267\ntestset: URL, BLEU: 24.6, chr-F: 0.514\ntestset: URL, BLEU: 61.6, chr-F: 0.783\ntestset: URL, BLEU: 2.2, chr-F: 0.106\ntestset: URL, BLEU: 51.1, chr-F: 0.683\ntestset: URL, BLEU: 7.8, chr-F: 0.067\ntestset: URL, BLEU: 62.8, chr-F: 0.776\ntestset: URL, BLEU: 16.6, chr-F: 0.398\ntestset: URL, BLEU: 51.8, chr-F: 0.718\ntestset: URL, BLEU: 14.6, chr-F: 0.393\ntestset: URL, BLEU: 21.5, chr-F: 0.486\ntestset: URL, BLEU: 2.0, chr-F: 0.222\ntestset: URL, BLEU: 0.8, chr-F: 0.113\ntestset: URL, BLEU: 10.3, chr-F: 0.377\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 1.5, chr-F: 0.194\ntestset: URL, BLEU: 49.4, chr-F: 0.698\ntestset: URL, BLEU: 4.6, chr-F: 0.261\ntestset: URL, BLEU: 39.1, chr-F: 0.618\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 8.7, chr-F: 0.295\ntestset: URL, BLEU: 6.7, chr-F: 0.369\ntestset: URL, BLEU: 59.9, chr-F: 0.608\ntestset: URL, BLEU: 14.2, chr-F: 0.405\ntestset: URL, BLEU: 8.9, chr-F: 0.344\ntestset: URL, BLEU: 9.6, chr-F: 0.298", "### System Info:\n\n\n* hf\\_name: itc-itc\n* source\\_languages: itc\n* target\\_languages: itc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: itc\n* tgt\\_alpha3: itc\n* short\\_pair: itc-itc\n* chrF2\\_score: 0.599\n* bleu: 40.8\n* brevity\\_penalty: 0.968\n* ref\\_len: 77448.0\n* src\\_name: Italic languages\n* tgt\\_name: Italic languages\n* train\\_date: 2020-07-07\n* src\\_alpha2: itc\n* tgt\\_alpha2: itc\n* prefer\\_old: False\n* long\\_pair: itc-itc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### itc-itc\n\n\n* source group: Italic languages\n* target group: Italic languages\n* OPUS readme: itc-itc\n* model: transformer\n* source language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* target language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.8, chr-F: 0.501\ntestset: URL, BLEU: 59.9, chr-F: 0.739\ntestset: URL, BLEU: 45.4, chr-F: 0.628\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 46.8, chr-F: 0.636\ntestset: URL, BLEU: 51.6, chr-F: 0.689\ntestset: URL, BLEU: 49.2, chr-F: 0.699\ntestset: URL, BLEU: 48.0, chr-F: 0.688\ntestset: URL, BLEU: 35.4, chr-F: 0.719\ntestset: URL, BLEU: 69.0, chr-F: 0.826\ntestset: URL, BLEU: 22.3, chr-F: 0.383\ntestset: URL, BLEU: 3.4, chr-F: 0.199\ntestset: URL, BLEU: 9.5, chr-F: 0.283\ntestset: URL, BLEU: 3.0, chr-F: 0.206\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 3.8, chr-F: 0.090\ntestset: URL, BLEU: 25.9, chr-F: 0.457\ntestset: URL, BLEU: 42.2, chr-F: 0.637\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 2.2, chr-F: 0.120\ntestset: URL, BLEU: 1.0, chr-F: 0.191\ntestset: URL, BLEU: 0.2, chr-F: 0.099\ntestset: URL, BLEU: 40.5, chr-F: 0.625\ntestset: URL, BLEU: 22.6, chr-F: 0.472\ntestset: URL, BLEU: 46.7, chr-F: 0.679\ntestset: URL, BLEU: 15.9, chr-F: 0.345\ntestset: URL, BLEU: 2.9, chr-F: 0.247\ntestset: URL, BLEU: 1.0, chr-F: 0.201\ntestset: URL, BLEU: 1.1, chr-F: 0.257\ntestset: URL, BLEU: 1.2, chr-F: 0.241\ntestset: URL, BLEU: 0.4, chr-F: 0.111\ntestset: URL, BLEU: 7.3, chr-F: 0.322\ntestset: URL, BLEU: 69.8, chr-F: 0.912\ntestset: URL, BLEU: 0.6, chr-F: 0.144\ntestset: URL, BLEU: 1.0, chr-F: 0.181\ntestset: URL, BLEU: 39.7, chr-F: 0.619\ntestset: URL, BLEU: 5.7, chr-F: 0.286\ntestset: URL, BLEU: 36.4, chr-F: 0.591\ntestset: URL, BLEU: 2.1, chr-F: 0.101\ntestset: URL, BLEU: 47.5, chr-F: 0.670\ntestset: URL, BLEU: 2.8, chr-F: 0.306\ntestset: URL, BLEU: 3.0, chr-F: 0.345\ntestset: URL, BLEU: 3.5, chr-F: 0.212\ntestset: URL, BLEU: 11.4, chr-F: 0.472\ntestset: URL, BLEU: 7.1, chr-F: 0.267\ntestset: URL, BLEU: 0.0, chr-F: 0.170\ntestset: URL, BLEU: 0.0, chr-F: 0.230\ntestset: URL, BLEU: 13.4, chr-F: 0.314\ntestset: URL, BLEU: 54.7, chr-F: 0.702\ntestset: URL, BLEU: 40.1, chr-F: 0.661\ntestset: URL, BLEU: 57.6, chr-F: 0.748\ntestset: URL, BLEU: 70.0, chr-F: 0.817\ntestset: URL, BLEU: 14.2, chr-F: 0.419\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 51.0, chr-F: 0.693\ntestset: URL, BLEU: 1.1, chr-F: 0.114\ntestset: URL, BLEU: 58.2, chr-F: 0.727\ntestset: URL, BLEU: 41.7, chr-F: 0.652\ntestset: URL, BLEU: 17.5, chr-F: 0.419\ntestset: URL, BLEU: 7.1, chr-F: 0.294\ntestset: URL, BLEU: 1.0, chr-F: 0.208\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 12.3, chr-F: 0.378\ntestset: URL, BLEU: 1.6, chr-F: 0.182\ntestset: URL, BLEU: 44.8, chr-F: 0.665\ntestset: URL, BLEU: 43.3, chr-F: 0.653\ntestset: URL, BLEU: 56.6, chr-F: 0.733\ntestset: URL, BLEU: 2.0, chr-F: 0.187\ntestset: URL, BLEU: 30.4, chr-F: 0.458\ntestset: URL, BLEU: 0.0, chr-F: 0.163\ntestset: URL, BLEU: 12.3, chr-F: 0.426\ntestset: URL, BLEU: 1.6, chr-F: 0.178\ntestset: URL, BLEU: 8.8, chr-F: 0.394\ntestset: URL, BLEU: 78.3, chr-F: 0.717\ntestset: URL, BLEU: 28.3, chr-F: 0.531\ntestset: URL, BLEU: 9.4, chr-F: 0.300\ntestset: URL, BLEU: 20.0, chr-F: 0.421\ntestset: URL, BLEU: 3.8, chr-F: 0.173\ntestset: URL, BLEU: 13.0, chr-F: 0.354\ntestset: URL, BLEU: 14.0, chr-F: 0.358\ntestset: URL, BLEU: 21.8, chr-F: 0.436\ntestset: URL, BLEU: 13.8, chr-F: 0.346\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 18.8, chr-F: 0.428\ntestset: URL, BLEU: 11.1, chr-F: 0.377\ntestset: URL, BLEU: 11.0, chr-F: 0.329\ntestset: URL, BLEU: 0.8, chr-F: 0.129\ntestset: URL, BLEU: 1.1, chr-F: 0.138\ntestset: URL, BLEU: 19.1, chr-F: 0.453\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 2.4, chr-F: 0.155\ntestset: URL, BLEU: 1.2, chr-F: 0.129\ntestset: URL, BLEU: 1.0, chr-F: 0.139\ntestset: URL, BLEU: 40.8, chr-F: 0.599\ntestset: URL, BLEU: 35.4, chr-F: 0.561\ntestset: URL, BLEU: 24.5, chr-F: 0.467\ntestset: URL, BLEU: 23.3, chr-F: 0.493\ntestset: URL, BLEU: 26.1, chr-F: 0.505\ntestset: URL, BLEU: 31.0, chr-F: 0.629\ntestset: URL, BLEU: 0.0, chr-F: 0.051\ntestset: URL, BLEU: 13.8, chr-F: 0.381\ntestset: URL, BLEU: 2.6, chr-F: 0.227\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 13.4, chr-F: 0.347\ntestset: URL, BLEU: 13.0, chr-F: 0.373\ntestset: URL, BLEU: 13.1, chr-F: 0.374\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 45.1, chr-F: 0.673\ntestset: URL, BLEU: 52.5, chr-F: 0.698\ntestset: URL, BLEU: 16.0, chr-F: 0.128\ntestset: URL, BLEU: 57.5, chr-F: 0.750\ntestset: URL, BLEU: 50.1, chr-F: 0.710\ntestset: URL, BLEU: 15.7, chr-F: 0.341\ntestset: URL, BLEU: 11.1, chr-F: 0.362\ntestset: URL, BLEU: 2.4, chr-F: 0.136\ntestset: URL, BLEU: 30.5, chr-F: 0.559\ntestset: URL, BLEU: 0.0, chr-F: 0.132\ntestset: URL, BLEU: 40.0, chr-F: 0.632\ntestset: URL, BLEU: 58.6, chr-F: 0.756\ntestset: URL, BLEU: 23.1, chr-F: 0.564\ntestset: URL, BLEU: 21.4, chr-F: 0.347\ntestset: URL, BLEU: 19.8, chr-F: 0.489\ntestset: URL, BLEU: 59.5, chr-F: 0.854\ntestset: URL, BLEU: 47.4, chr-F: 0.647\ntestset: URL, BLEU: 45.7, chr-F: 0.683\ntestset: URL, BLEU: 44.2, chr-F: 0.712\ntestset: URL, BLEU: 14.8, chr-F: 0.449\ntestset: URL, BLEU: 1.2, chr-F: 0.098\ntestset: URL, BLEU: 42.7, chr-F: 0.650\ntestset: URL, BLEU: 50.4, chr-F: 0.686\ntestset: URL, BLEU: 2.4, chr-F: 0.180\ntestset: URL, BLEU: 5.1, chr-F: 0.212\ntestset: URL, BLEU: 10.8, chr-F: 0.267\ntestset: URL, BLEU: 24.6, chr-F: 0.514\ntestset: URL, BLEU: 61.6, chr-F: 0.783\ntestset: URL, BLEU: 2.2, chr-F: 0.106\ntestset: URL, BLEU: 51.1, chr-F: 0.683\ntestset: URL, BLEU: 7.8, chr-F: 0.067\ntestset: URL, BLEU: 62.8, chr-F: 0.776\ntestset: URL, BLEU: 16.6, chr-F: 0.398\ntestset: URL, BLEU: 51.8, chr-F: 0.718\ntestset: URL, BLEU: 14.6, chr-F: 0.393\ntestset: URL, BLEU: 21.5, chr-F: 0.486\ntestset: URL, BLEU: 2.0, chr-F: 0.222\ntestset: URL, BLEU: 0.8, chr-F: 0.113\ntestset: URL, BLEU: 10.3, chr-F: 0.377\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 1.5, chr-F: 0.194\ntestset: URL, BLEU: 49.4, chr-F: 0.698\ntestset: URL, BLEU: 4.6, chr-F: 0.261\ntestset: URL, BLEU: 39.1, chr-F: 0.618\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 8.7, chr-F: 0.295\ntestset: URL, BLEU: 6.7, chr-F: 0.369\ntestset: URL, BLEU: 59.9, chr-F: 0.608\ntestset: URL, BLEU: 14.2, chr-F: 0.405\ntestset: URL, BLEU: 8.9, chr-F: 0.344\ntestset: URL, BLEU: 9.6, chr-F: 0.298", "### System Info:\n\n\n* hf\\_name: itc-itc\n* source\\_languages: itc\n* target\\_languages: itc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']\n* src\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* tgt\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: itc\n* tgt\\_alpha3: itc\n* short\\_pair: itc-itc\n* chrF2\\_score: 0.599\n* bleu: 40.8\n* brevity\\_penalty: 0.968\n* ref\\_len: 77448.0\n* src\\_name: Italic languages\n* tgt\\_name: Italic languages\n* train\\_date: 2020-07-07\n* src\\_alpha2: itc\n* tgt\\_alpha2: itc\n* prefer\\_old: False\n* long\\_pair: itc-itc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 91, 3035, 914 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "passage: ### itc-itc\n\n\n* source group: Italic languages\n* target group: Italic languages\n* OPUS readme: itc-itc\n* model: transformer\n* source language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* target language(s): arg ast bjn cat cos egl fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Grek lat\\_Latn lij lld\\_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.8, chr-F: 0.501\ntestset: URL, BLEU: 59.9, chr-F: 0.739\ntestset: URL, BLEU: 45.4, chr-F: 0.628\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 46.8, chr-F: 0.636\ntestset: URL, BLEU: 51.6, chr-F: 0.689\ntestset: URL, BLEU: 49.2, chr-F: 0.699\ntestset: URL, BLEU: 48.0, chr-F: 0.688\ntestset: URL, BLEU: 35.4, chr-F: 0.719\ntestset: URL, BLEU: 69.0, chr-F: 0.826\ntestset: URL, BLEU: 22.3, chr-F: 0.383\ntestset: URL, BLEU: 3.4, chr-F: 0.199\ntestset: URL, BLEU: 9.5, chr-F: 0.283\ntestset: URL, BLEU: 3.0, chr-F: 0.206\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 3.8, chr-F: 0.090\ntestset: URL, BLEU: 25.9, chr-F: 0.457\ntestset: URL, BLEU: 42.2, chr-F: 0.637\ntestset: URL, BLEU: 3.3, chr-F: 0.185\ntestset: URL, BLEU: 2.2, chr-F: 0.120\ntestset: URL, BLEU: 1.0, chr-F: 0.191\ntestset: URL, BLEU: 0.2, chr-F: 0.099\ntestset: URL, BLEU: 40.5, chr-F: 0.625\ntestset: URL, BLEU: 22.6, chr-F: 0.472\ntestset: URL, BLEU: 46.7, chr-F: 0.679\ntestset: URL, BLEU: 15.9, chr-F: 0.345\ntestset: URL, BLEU: 2.9, chr-F: 0.247\ntestset: URL, BLEU: 1.0, chr-F: 0.201\ntestset: URL, BLEU: 1.1, chr-F: 0.257\ntestset: URL, BLEU: 1.2, chr-F: 0.241\ntestset: URL, BLEU: 0.4, chr-F: 0.111\ntestset: URL, BLEU: 7.3, chr-F: 0.322\ntestset: URL, BLEU: 69.8, chr-F: 0.912\ntestset: URL, BLEU: 0.6, chr-F: 0.144\ntestset: URL, BLEU: 1.0, chr-F: 0.181\ntestset: URL, BLEU: 39.7, chr-F: 0.619\ntestset: URL, BLEU: 5.7, chr-F: 0.286\ntestset: URL, BLEU: 36.4, chr-F: 0.591\ntestset: URL, BLEU: 2.1, chr-F: 0.101\ntestset: URL, BLEU: 47.5, chr-F: 0.670\ntestset: URL, BLEU: 2.8, chr-F: 0.306\ntestset: URL, BLEU: 3.0, chr-F: 0.345\ntestset: URL, BLEU: 3.5, chr-F: 0.212\ntestset: URL, BLEU: 11.4, chr-F: 0.472\ntestset: URL, BLEU: 7.1, chr-F: 0.267\ntestset: URL, BLEU: 0.0, chr-F: 0.170\ntestset: URL, BLEU: 0.0, chr-F: 0.230\ntestset: URL, BLEU: 13.4, chr-F: 0.314\ntestset: URL, BLEU: 54.7, chr-F: 0.702\ntestset: URL, BLEU: 40.1, chr-F: 0.661\ntestset: URL, BLEU: 57.6, chr-F: 0.748\ntestset: URL, BLEU: 70.0, chr-F: 0.817\ntestset: URL, BLEU: 14.2, chr-F: 0.419\ntestset: URL, BLEU: 17.9, chr-F: 0.449\ntestset: URL, BLEU: 51.0, chr-F: 0.693\ntestset: URL, BLEU: 1.1, chr-F: 0.114\ntestset: URL, BLEU: 58.2, chr-F: 0.727\ntestset: URL, BLEU: 41.7, chr-F: 0.652\ntestset: URL, BLEU: 17.5, chr-F: 0.419\ntestset: URL, BLEU: 7.1, chr-F: 0.294\ntestset: URL, BLEU: 1.0, chr-F: 0.208\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 12.3, chr-F: 0.378\ntestset: URL, BLEU: 1.6, chr-F: 0.182\ntestset: URL, BLEU: 44.8, chr-F: 0.665\ntestset: URL, BLEU: 43.3, chr-F: 0.653\ntestset: URL, BLEU: 56.6, chr-F: 0.733\ntestset: URL, BLEU: 2.0, chr-F: 0.187\ntestset: URL, BLEU: 30.4, chr-F: 0.458\ntestset: URL, BLEU: 0.0, chr-F: 0.163\ntestset: URL, BLEU: 12.3, chr-F: 0.426\ntestset: URL, BLEU: 1.6, chr-F: 0.178\ntestset: URL, BLEU: 8.8, chr-F: 0.394\ntestset: URL, BLEU: 78.3, chr-F: 0.717\ntestset: URL, BLEU: 28.3, chr-F: 0.531\ntestset: URL, BLEU: 9.4, chr-F: 0.300\ntestset: URL, BLEU: 20.0, chr-F: 0.421\ntestset: URL, BLEU: 3.8, chr-F: 0.173\ntestset: URL, BLEU: 13.0, chr-F: 0.354\ntestset: URL, BLEU: 14.0, chr-F: 0.358\ntestset: URL, BLEU: 21.8, chr-F: 0.436\ntestset: URL, BLEU: 13.8, chr-F: 0.346\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 18.8, chr-F: 0.428\ntestset: URL, BLEU: 11.1, chr-F: 0.377\ntestset: URL, BLEU: 11.0, chr-F: 0.329\ntestset: URL, BLEU: 0.8, chr-F: 0.129\ntestset: URL, BLEU: 1.1, chr-F: 0.138\ntestset: URL, BLEU: 19.1, chr-F: 0.453\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 2.4, chr-F: 0.155\ntestset: URL, BLEU: 1.2, chr-F: 0.129\ntestset: URL, BLEU: 1.0, chr-F: 0.139\ntestset: URL, BLEU: 40.8, chr-F: 0.599\ntestset: URL, BLEU: 35.4, chr-F: 0.561\ntestset: URL, BLEU: 24.5, chr-F: 0.467\ntestset: URL, BLEU: 23.3, chr-F: 0.493\ntestset: URL, BLEU: 26.1, chr-F: 0.505\ntestset: URL, BLEU: 31.0, chr-F: 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null	null	transformers	### jpn-ara * source group: Japanese * target group: Arabic * OPUS readme: [jpn-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md) * model: transformer-align * source language(s): jpn_Hani jpn_Hira jpn_Kana * target language(s): acm apc ara arq arz * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.ara \| 11.6 \| 0.394 \| ### System Info: - hf_name: jpn-ara - source_languages: jpn - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'ar'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: ara - short_pair: ja-ar - chrF2_score: 0.39399999999999996 - bleu: 11.6 - brevity_penalty: 1.0 - ref_len: 7089.0 - src_name: Japanese - tgt_name: Arabic - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: ar - prefer_old: False - long_pair: jpn-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "ar"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-ar	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-ara * source group: Japanese * target group: Arabic * OPUS readme: jpn-ara * model: transformer-align * source language(s): jpn\_Hani jpn\_Hira jpn\_Kana * target language(s): acm apc ara arq arz * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 11.6, chr-F: 0.394 ### System Info: * hf\_name: jpn-ara * source\_languages: jpn * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'ar'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: ara * short\_pair: ja-ar * chrF2\_score: 0.39399999999999996 * bleu: 11.6 * brevity\_penalty: 1.0 * ref\_len: 7089.0 * src\_name: Japanese * tgt\_name: Arabic * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: ar * prefer\_old: False * long\_pair: jpn-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-ara\n\n\n* source group: Japanese\n* target group: Arabic\n* OPUS readme: jpn-ara\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): acm apc ara arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.6, chr-F: 0.394", "### System Info:\n\n\n* hf\\_name: jpn-ara\n* source\\_languages: jpn\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ar']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: ara\n* short\\_pair: ja-ar\n* chrF2\\_score: 0.39399999999999996\n* bleu: 11.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 7089.0\n* src\\_name: Japanese\n* tgt\\_name: Arabic\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: jpn-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-ara\n\n\n* source group: Japanese\n* target group: Arabic\n* OPUS readme: jpn-ara\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): acm apc ara arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.6, chr-F: 0.394", "### System Info:\n\n\n* hf\\_name: jpn-ara\n* source\\_languages: jpn\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ar']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: ara\n* short\\_pair: ja-ar\n* chrF2\\_score: 0.39399999999999996\n* bleu: 11.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 7089.0\n* src\\_name: Japanese\n* tgt\\_name: Arabic\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: jpn-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 178, 514 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-ara\n\n\n* source group: Japanese\n* target group: Arabic\n* OPUS readme: jpn-ara\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): acm apc ara arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.6, chr-F: 0.394" ]	[ -0.10429821908473969, 0.14368711411952972, -0.004253070335835218, 0.037698350846767426, 0.053456246852874756, 0.016614723950624466, 0.11523593217134476, 0.14999514818191528, 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null	null	transformers	### jpn-bul * source group: Japanese * target group: Bulgarian * OPUS readme: [jpn-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md) * model: transformer-align * source language(s): jpn jpn_Hani jpn_Hira jpn_Kana * target language(s): bul * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.bul \| 20.2 \| 0.422 \| ### System Info: - hf_name: jpn-bul - source_languages: jpn - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'bg'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: bul - short_pair: ja-bg - chrF2_score: 0.42200000000000004 - bleu: 20.2 - brevity_penalty: 0.9570000000000001 - ref_len: 2346.0 - src_name: Japanese - tgt_name: Bulgarian - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: bg - prefer_old: False - long_pair: jpn-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "bg"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-bg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-bul * source group: Japanese * target group: Bulgarian * OPUS readme: jpn-bul * model: transformer-align * source language(s): jpn jpn\_Hani jpn\_Hira jpn\_Kana * target language(s): bul * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.2, chr-F: 0.422 ### System Info: * hf\_name: jpn-bul * source\_languages: jpn * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'bg'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'bul', 'bul\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: bul * short\_pair: ja-bg * chrF2\_score: 0.42200000000000004 * bleu: 20.2 * brevity\_penalty: 0.9570000000000001 * ref\_len: 2346.0 * src\_name: Japanese * tgt\_name: Bulgarian * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: bg * prefer\_old: False * long\_pair: jpn-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-bul\n\n\n* source group: Japanese\n* target group: Bulgarian\n* OPUS readme: jpn-bul\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): bul\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.422", "### System Info:\n\n\n* hf\\_name: jpn-bul\n* source\\_languages: jpn\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'bg']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: bul\n* short\\_pair: ja-bg\n* chrF2\\_score: 0.42200000000000004\n* bleu: 20.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 2346.0\n* src\\_name: Japanese\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: jpn-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-bul\n\n\n* source group: Japanese\n* target group: Bulgarian\n* OPUS readme: jpn-bul\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): bul\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.422", "### System Info:\n\n\n* hf\\_name: jpn-bul\n* source\\_languages: jpn\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'bg']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: bul\n* short\\_pair: ja-bg\n* chrF2\\_score: 0.42200000000000004\n* bleu: 20.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 2346.0\n* src\\_name: Japanese\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: jpn-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 148, 480 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-bul\n\n\n* source group: Japanese\n* target group: Bulgarian\n* OPUS readme: jpn-bul\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): bul\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.422" ]	[ -0.07739080488681793, 0.08244581520557404, -0.0045228153467178345, 0.01997043937444687, 0.11254213750362396, 0.008459445089101791, 0.12842996418476105, 0.11352020502090454, 0.01103515550494194, 0.04854258522391319, 0.11302664875984192, 0.05867660790681839, 0.04247666150331497, 0.16242066025733948, -0.03373188525438309, -0.2328549176454544, 0.08168722689151764, 0.06172618642449379, -0.08965662121772766, 0.13503284752368927, 0.1113118976354599, -0.0655214935541153, 0.07239238172769547, 0.0022760990541428328, -0.067945696413517, 0.06853356957435608, 0.00628462852910161, -0.09974271804094315, 0.05754272639751434, 0.09670455753803253, 0.02476547658443451, 0.0462510921061039, -0.020482100546360016, -0.18640106916427612, 0.010561998933553696, -0.006438249256461859, -0.052672866731882095, 0.02845069020986557, 0.10666545480489731, -0.020340222865343094, 0.17426586151123047, -0.10866973549127579, 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null	null	transformers	### jpn-dan * source group: Japanese * target group: Danish * OPUS readme: [jpn-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md) * model: transformer-align * source language(s): jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.dan \| 43.2 \| 0.590 \| ### System Info: - hf_name: jpn-dan - source_languages: jpn - target_languages: dan - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'da'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'dan'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: dan - short_pair: ja-da - chrF2_score: 0.59 - bleu: 43.2 - brevity_penalty: 0.972 - ref_len: 5823.0 - src_name: Japanese - tgt_name: Danish - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: da - prefer_old: False - long_pair: jpn-dan - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "da"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-da	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "da", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "da" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-dan * source group: Japanese * target group: Danish * OPUS readme: jpn-dan * model: transformer-align * source language(s): jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 43.2, chr-F: 0.590 ### System Info: * hf\_name: jpn-dan * source\_languages: jpn * target\_languages: dan * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'da'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'dan'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: dan * short\_pair: ja-da * chrF2\_score: 0.59 * bleu: 43.2 * brevity\_penalty: 0.972 * ref\_len: 5823.0 * src\_name: Japanese * tgt\_name: Danish * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: da * prefer\_old: False * long\_pair: jpn-dan * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-dan\n\n\n* source group: Japanese\n* target group: Danish\n* OPUS readme: jpn-dan\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.2, chr-F: 0.590", "### System Info:\n\n\n* hf\\_name: jpn-dan\n* source\\_languages: jpn\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'da']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'dan'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: dan\n* short\\_pair: ja-da\n* chrF2\\_score: 0.59\n* bleu: 43.2\n* brevity\\_penalty: 0.972\n* ref\\_len: 5823.0\n* src\\_name: Japanese\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: jpn-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-dan\n\n\n* source group: Japanese\n* target group: Danish\n* OPUS readme: jpn-dan\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.2, chr-F: 0.590", "### System Info:\n\n\n* hf\\_name: jpn-dan\n* source\\_languages: jpn\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'da']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'dan'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: dan\n* short\\_pair: ja-da\n* chrF2\\_score: 0.59\n* bleu: 43.2\n* brevity\\_penalty: 0.972\n* ref\\_len: 5823.0\n* src\\_name: Japanese\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: jpn-dan\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 159, 461 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-dan\n\n\n* source group: Japanese\n* target group: Danish\n* OPUS readme: jpn-dan\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): dan\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.2, chr-F: 0.590" ]	[ 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null	null	transformers	### opus-mt-ja-de * source languages: ja * target languages: de * OPUS readme: [ja-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.de \| 30.1 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-de * source languages: ja * target languages: de * OPUS readme: ja-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.1, chr-F: 0.518	[ "### opus-mt-ja-de\n\n\n* source languages: ja\n* target languages: de\n* OPUS readme: ja-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.1, chr-F: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-de\n\n\n* source languages: ja\n* target languages: de\n* OPUS readme: ja-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.1, chr-F: 0.518" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-de\n\n\n* source languages: ja\n* target languages: de\n* OPUS readme: ja-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ja-en * source languages: ja * target languages: en * OPUS readme: [ja-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.en \| 41.7 \| 0.589 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-en * source languages: ja * target languages: en * OPUS readme: ja-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.7, chr-F: 0.589	[ "### opus-mt-ja-en\n\n\n* source languages: ja\n* target languages: en\n* OPUS readme: ja-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.7, chr-F: 0.589" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-en\n\n\n* source languages: ja\n* target languages: en\n* OPUS readme: ja-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.7, chr-F: 0.589" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-en\n\n\n* source languages: ja\n* target languages: en\n* OPUS readme: ja-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ja-es * source languages: ja * target languages: es * OPUS readme: [ja-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.es \| 34.6 \| 0.553 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-es * source languages: ja * target languages: es * OPUS readme: ja-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.6, chr-F: 0.553	[ "### opus-mt-ja-es\n\n\n* source languages: ja\n* target languages: es\n* OPUS readme: ja-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.553" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-es\n\n\n* source languages: ja\n* target languages: es\n* OPUS readme: ja-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.553" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-es\n\n\n* source languages: ja\n* target languages: es\n* OPUS readme: ja-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ja-fi * source languages: ja * target languages: fi * OPUS readme: [ja-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.fi \| 21.2 \| 0.448 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-fi * source languages: ja * target languages: fi * OPUS readme: ja-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.2, chr-F: 0.448	[ "### opus-mt-ja-fi\n\n\n* source languages: ja\n* target languages: fi\n* OPUS readme: ja-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.448" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-fi\n\n\n* source languages: ja\n* target languages: fi\n* OPUS readme: ja-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.2, chr-F: 0.448" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-fi\n\n\n* source languages: ja\n* target languages: fi\n* OPUS readme: ja-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ja-fr * source languages: ja * target languages: fr * OPUS readme: [ja-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.fr \| 33.6 \| 0.534 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-fr * source languages: ja * target languages: fr * OPUS readme: ja-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 33.6, chr-F: 0.534	[ "### opus-mt-ja-fr\n\n\n* source languages: ja\n* target languages: fr\n* OPUS readme: ja-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.6, chr-F: 0.534" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-fr\n\n\n* source languages: ja\n* target languages: fr\n* OPUS readme: ja-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.6, chr-F: 0.534" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-fr\n\n\n* source languages: ja\n* target languages: fr\n* OPUS readme: ja-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### jpn-heb * source group: Japanese * target group: Hebrew * OPUS readme: [jpn-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md) * model: transformer-align * source language(s): jpn_Hani jpn_Hira jpn_Kana * target language(s): heb * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.heb \| 20.2 \| 0.397 \| ### System Info: - hf_name: jpn-heb - source_languages: jpn - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'he'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'heb'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: heb - short_pair: ja-he - chrF2_score: 0.397 - bleu: 20.2 - brevity_penalty: 1.0 - ref_len: 1598.0 - src_name: Japanese - tgt_name: Hebrew - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: he - prefer_old: False - long_pair: jpn-heb - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "he"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-he	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "he" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-heb * source group: Japanese * target group: Hebrew * OPUS readme: jpn-heb * model: transformer-align * source language(s): jpn\_Hani jpn\_Hira jpn\_Kana * target language(s): heb * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.2, chr-F: 0.397 ### System Info: * hf\_name: jpn-heb * source\_languages: jpn * target\_languages: heb * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'he'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'heb'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: heb * short\_pair: ja-he * chrF2\_score: 0.397 * bleu: 20.2 * brevity\_penalty: 1.0 * ref\_len: 1598.0 * src\_name: Japanese * tgt\_name: Hebrew * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: he * prefer\_old: False * long\_pair: jpn-heb * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-heb\n\n\n* source group: Japanese\n* target group: Hebrew\n* OPUS readme: jpn-heb\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): heb\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.397", "### System Info:\n\n\n* hf\\_name: jpn-heb\n* source\\_languages: jpn\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'he']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'heb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: heb\n* short\\_pair: ja-he\n* chrF2\\_score: 0.397\n* bleu: 20.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 1598.0\n* src\\_name: Japanese\n* tgt\\_name: Hebrew\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* long\\_pair: jpn-heb\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-heb\n\n\n* source group: Japanese\n* target group: Hebrew\n* OPUS readme: jpn-heb\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): heb\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.397", "### System Info:\n\n\n* hf\\_name: jpn-heb\n* source\\_languages: jpn\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'he']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'heb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: heb\n* short\\_pair: ja-he\n* chrF2\\_score: 0.397\n* bleu: 20.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 1598.0\n* src\\_name: Japanese\n* tgt\\_name: Hebrew\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* long\\_pair: jpn-heb\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 144, 461 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-heb\n\n\n* source group: Japanese\n* target group: Hebrew\n* OPUS readme: jpn-heb\n* model: transformer-align\n* source language(s): jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): heb\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.397" ]	[ -0.08120604604482651, 0.11152766644954681, -0.0022261503618210554, 0.010131055489182472, 0.06419346481561661, 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null	null	transformers	### jpn-hun * source group: Japanese * target group: Hungarian * OPUS readme: [jpn-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md) * model: transformer-align * source language(s): jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Yiii * target language(s): hun * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.hun \| 12.2 \| 0.364 \| ### System Info: - hf_name: jpn-hun - source_languages: jpn - target_languages: hun - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'hu'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'hun'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: hun - short_pair: ja-hu - chrF2_score: 0.364 - bleu: 12.2 - brevity_penalty: 1.0 - ref_len: 18625.0 - src_name: Japanese - tgt_name: Hungarian - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: hu - prefer_old: False - long_pair: jpn-hun - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "hu"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-hu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "hu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-hun * source group: Japanese * target group: Hungarian * OPUS readme: jpn-hun * model: transformer-align * source language(s): jpn\_Bopo jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Yiii * target language(s): hun * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 12.2, chr-F: 0.364 ### System Info: * hf\_name: jpn-hun * source\_languages: jpn * target\_languages: hun * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'hu'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'hun'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: hun * short\_pair: ja-hu * chrF2\_score: 0.364 * bleu: 12.2 * brevity\_penalty: 1.0 * ref\_len: 18625.0 * src\_name: Japanese * tgt\_name: Hungarian * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: hu * prefer\_old: False * long\_pair: jpn-hun * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-hun\n\n\n* source group: Japanese\n* target group: Hungarian\n* OPUS readme: jpn-hun\n* model: transformer-align\n* source language(s): jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.2, chr-F: 0.364", "### System Info:\n\n\n* hf\\_name: jpn-hun\n* source\\_languages: jpn\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'hu']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'hun'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: hun\n* short\\_pair: ja-hu\n* chrF2\\_score: 0.364\n* bleu: 12.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 18625.0\n* src\\_name: Japanese\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: jpn-hun\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-hun\n\n\n* source group: Japanese\n* target group: Hungarian\n* OPUS readme: jpn-hun\n* model: transformer-align\n* source language(s): jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.2, chr-F: 0.364", "### System Info:\n\n\n* hf\\_name: jpn-hun\n* source\\_languages: jpn\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'hu']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'hun'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: hun\n* short\\_pair: ja-hu\n* chrF2\\_score: 0.364\n* bleu: 12.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 18625.0\n* src\\_name: Japanese\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: jpn-hun\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 159, 459 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-hun\n\n\n* source group: Japanese\n* target group: Hungarian\n* OPUS readme: jpn-hun\n* model: transformer-align\n* source language(s): jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.2, chr-F: 0.364" ]	[ -0.07655761390924454, 0.10325419902801514, -0.0038249364588409662, 0.02525881491601467, 0.08444974571466446, 0.008413774892687798, 0.10825168341398239, 0.138335719704628, -0.007127221208065748, 0.04960889741778374, 0.06610241532325745, 0.05157392472028732, 0.08263254165649414, 0.12481095641851425, -0.054868634790182114, -0.2337937355041504, 0.08914383500814438, 0.04211500659584999, -0.028056353330612183, 0.10571170598268509, 0.0911363810300827, -0.026722749695181847, 0.0957847610116005, -0.01354562770575285, -0.048544056713581085, 0.043338943272829056, -0.011277942918241024, -0.09565512835979462, 0.05559573695063591, 0.06976349651813507, 0.03222529962658882, 0.05016428604722023, -0.010008832439780235, -0.17343023419380188, 0.011350293643772602, 0.00490963039919734, -0.02879287116229534, 0.01742306724190712, 0.07306947559118271, 0.007477176375687122, 0.2128610908985138, -0.09284957498311996, 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null	null	transformers	### jpn-ita * source group: Japanese * target group: Italian * OPUS readme: [jpn-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md) * model: transformer-align * source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.ita \| 22.8 \| 0.460 \| ### System Info: - hf_name: jpn-ita - source_languages: jpn - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'it'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: ita - short_pair: ja-it - chrF2_score: 0.46 - bleu: 22.8 - brevity_penalty: 0.9540000000000001 - ref_len: 21500.0 - src_name: Japanese - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: it - prefer_old: False - long_pair: jpn-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "it"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-it	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-ita * source group: Japanese * target group: Italian * OPUS readme: jpn-ita * model: transformer-align * source language(s): jpn jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.8, chr-F: 0.460 ### System Info: * hf\_name: jpn-ita * source\_languages: jpn * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'it'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'ita'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: ita * short\_pair: ja-it * chrF2\_score: 0.46 * bleu: 22.8 * brevity\_penalty: 0.9540000000000001 * ref\_len: 21500.0 * src\_name: Japanese * tgt\_name: Italian * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: it * prefer\_old: False * long\_pair: jpn-ita * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-ita\n\n\n* source group: Japanese\n* target group: Italian\n* OPUS readme: jpn-ita\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.460", "### System Info:\n\n\n* hf\\_name: jpn-ita\n* source\\_languages: jpn\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'it']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: ita\n* short\\_pair: ja-it\n* chrF2\\_score: 0.46\n* bleu: 22.8\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 21500.0\n* src\\_name: Japanese\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: jpn-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-ita\n\n\n* source group: Japanese\n* target group: Italian\n* OPUS readme: jpn-ita\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.460", "### System Info:\n\n\n* hf\\_name: jpn-ita\n* source\\_languages: jpn\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'it']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: ita\n* short\\_pair: ja-it\n* chrF2\\_score: 0.46\n* bleu: 22.8\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 21500.0\n* src\\_name: Japanese\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: jpn-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 163, 465 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-ita\n\n\n* source group: Japanese\n* target group: Italian\n* OPUS readme: jpn-ita\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.460" ]	[ -0.08663421869277954, 0.09473810344934464, -0.004621545318514109, 0.03989603742957115, 0.0373351089656353, 0.052200544625520706, 0.09868466109037399, 0.1853019744157791, -0.035043660551309586, 0.034008096903562546, 0.06849797070026398, 0.049091946333646774, 0.09010323882102966, 0.14532729983329773, -0.04579559713602066, -0.1874644160270691, 0.050271373242139816, 0.07873662561178207, -0.0665610134601593, 0.14168322086334229, 0.09117509424686432, -0.02043857052922249, 0.07951458543539047, -0.034756582230329514, -0.05722055211663246, 0.04898469150066376, 0.012162836268544197, -0.09363342076539993, 0.03626028820872307, 0.06555723398923874, 0.05295097082853317, 0.02133791148662567, -0.004378535319119692, -0.185420423746109, 0.027487298473715782, 0.041881173849105835, -0.04537096247076988, 0.04429246112704277, 0.08526838570833206, 0.018954573199152946, 0.16183637082576752, -0.060529474169015884, 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null	null	transformers	### jpn-msa * source group: Japanese * target group: Malay (macrolanguage) * OPUS readme: [jpn-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md) * model: transformer-align * source language(s): jpn jpn_Hani jpn_Hira jpn_Kana * target language(s): ind zlm_Latn zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.msa \| 21.5 \| 0.469 \| ### System Info: - hf_name: jpn-msa - source_languages: jpn - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'ms'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: msa - short_pair: ja-ms - chrF2_score: 0.469 - bleu: 21.5 - brevity_penalty: 0.9259999999999999 - ref_len: 17028.0 - src_name: Japanese - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: ms - prefer_old: False - long_pair: jpn-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "ms"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-ms	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "ms" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-msa * source group: Japanese * target group: Malay (macrolanguage) * OPUS readme: jpn-msa * model: transformer-align * source language(s): jpn jpn\_Hani jpn\_Hira jpn\_Kana * target language(s): ind zlm\_Latn zsm\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.5, chr-F: 0.469 ### System Info: * hf\_name: jpn-msa * source\_languages: jpn * target\_languages: msa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'ms'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: msa * short\_pair: ja-ms * chrF2\_score: 0.469 * bleu: 21.5 * brevity\_penalty: 0.9259999999999999 * ref\_len: 17028.0 * src\_name: Japanese * tgt\_name: Malay (macrolanguage) * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: ms * prefer\_old: False * long\_pair: jpn-msa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-msa\n\n\n* source group: Japanese\n* target group: Malay (macrolanguage)\n* OPUS readme: jpn-msa\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): ind zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.469", "### System Info:\n\n\n* hf\\_name: jpn-msa\n* source\\_languages: jpn\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ms']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: msa\n* short\\_pair: ja-ms\n* chrF2\\_score: 0.469\n* bleu: 21.5\n* brevity\\_penalty: 0.9259999999999999\n* ref\\_len: 17028.0\n* src\\_name: Japanese\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: jpn-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-msa\n\n\n* source group: Japanese\n* target group: Malay (macrolanguage)\n* OPUS readme: jpn-msa\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): ind zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.469", "### System Info:\n\n\n* hf\\_name: jpn-msa\n* source\\_languages: jpn\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ms']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: msa\n* short\\_pair: ja-ms\n* chrF2\\_score: 0.469\n* bleu: 21.5\n* brevity\\_penalty: 0.9259999999999999\n* ref\\_len: 17028.0\n* src\\_name: Japanese\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: jpn-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 197, 512 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-msa\n\n\n* source group: Japanese\n* target group: Malay (macrolanguage)\n* OPUS readme: jpn-msa\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana\n* target language(s): ind zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.469" ]	[ -0.06538820266723633, 0.04403230547904968, 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null	null	transformers	### jpn-nld * source group: Japanese * target group: Dutch * OPUS readme: [jpn-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-nld/README.md) * model: transformer-align * source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn * target language(s): nld * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.nld \| 34.7 \| 0.534 \| ### System Info: - hf_name: jpn-nld - source_languages: jpn - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'nl'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: nld - short_pair: ja-nl - chrF2_score: 0.534 - bleu: 34.7 - brevity_penalty: 0.938 - ref_len: 25849.0 - src_name: Japanese - tgt_name: Dutch - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: nl - prefer_old: False - long_pair: jpn-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "nl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-nl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "nl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-nld * source group: Japanese * target group: Dutch * OPUS readme: jpn-nld * model: transformer-align * source language(s): jpn jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn * target language(s): nld * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.7, chr-F: 0.534 ### System Info: * hf\_name: jpn-nld * source\_languages: jpn * target\_languages: nld * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'nl'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'nld'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: nld * short\_pair: ja-nl * chrF2\_score: 0.534 * bleu: 34.7 * brevity\_penalty: 0.938 * ref\_len: 25849.0 * src\_name: Japanese * tgt\_name: Dutch * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: nl * prefer\_old: False * long\_pair: jpn-nld * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-nld\n\n\n* source group: Japanese\n* target group: Dutch\n* OPUS readme: jpn-nld\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): nld\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.534", "### System Info:\n\n\n* hf\\_name: jpn-nld\n* source\\_languages: jpn\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'nl']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'nld'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: nld\n* short\\_pair: ja-nl\n* chrF2\\_score: 0.534\n* bleu: 34.7\n* brevity\\_penalty: 0.938\n* ref\\_len: 25849.0\n* src\\_name: Japanese\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: jpn-nld\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-nld\n\n\n* source group: Japanese\n* target group: Dutch\n* OPUS readme: jpn-nld\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): nld\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.534", "### System Info:\n\n\n* hf\\_name: jpn-nld\n* source\\_languages: jpn\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'nl']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'nld'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: nld\n* short\\_pair: ja-nl\n* chrF2\\_score: 0.534\n* bleu: 34.7\n* brevity\\_penalty: 0.938\n* ref\\_len: 25849.0\n* src\\_name: Japanese\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: jpn-nld\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 157, 468 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-nld\n\n\n* source group: Japanese\n* target group: Dutch\n* OPUS readme: jpn-nld\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): nld\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.534" ]	[ -0.0753556489944458, 0.11815913766622543, 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null	null	transformers	### jpn-pol * source group: Japanese * target group: Polish * OPUS readme: [jpn-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md) * model: transformer-align * source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.pol \| 15.7 \| 0.386 \| ### System Info: - hf_name: jpn-pol - source_languages: jpn - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'pl'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: pol - short_pair: ja-pl - chrF2_score: 0.386 - bleu: 15.7 - brevity_penalty: 1.0 - ref_len: 69904.0 - src_name: Japanese - tgt_name: Polish - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: pl - prefer_old: False - long_pair: jpn-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "pl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-pl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "pl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-pol * source group: Japanese * target group: Polish * OPUS readme: jpn-pol * model: transformer-align * source language(s): jpn jpn\_Bopo jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 15.7, chr-F: 0.386 ### System Info: * hf\_name: jpn-pol * source\_languages: jpn * target\_languages: pol * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'pl'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'pol'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: pol * short\_pair: ja-pl * chrF2\_score: 0.386 * bleu: 15.7 * brevity\_penalty: 1.0 * ref\_len: 69904.0 * src\_name: Japanese * tgt\_name: Polish * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: pl * prefer\_old: False * long\_pair: jpn-pol * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-pol\n\n\n* source group: Japanese\n* target group: Polish\n* OPUS readme: jpn-pol\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.7, chr-F: 0.386", "### System Info:\n\n\n* hf\\_name: jpn-pol\n* source\\_languages: jpn\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'pl']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'pol'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: pol\n* short\\_pair: ja-pl\n* chrF2\\_score: 0.386\n* bleu: 15.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 69904.0\n* src\\_name: Japanese\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: jpn-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-pol\n\n\n* source group: Japanese\n* target group: Polish\n* OPUS readme: jpn-pol\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.7, chr-F: 0.386", "### System Info:\n\n\n* hf\\_name: jpn-pol\n* source\\_languages: jpn\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'pl']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'pol'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: pol\n* short\\_pair: ja-pl\n* chrF2\\_score: 0.386\n* bleu: 15.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 69904.0\n* src\\_name: Japanese\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: jpn-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 162, 460 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-pol\n\n\n* source group: Japanese\n* target group: Polish\n* OPUS readme: jpn-pol\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 15.7, chr-F: 0.386" ]	[ 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null	null	transformers	### jpn-por * source group: Japanese * target group: Portuguese * OPUS readme: [jpn-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md) * model: transformer-align * source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii * target language(s): por por_Hira * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.por \| 22.2 \| 0.444 \| ### System Info: - hf_name: jpn-por - source_languages: jpn - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'pt'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: por - short_pair: ja-pt - chrF2_score: 0.444 - bleu: 22.2 - brevity_penalty: 0.922 - ref_len: 15570.0 - src_name: Japanese - tgt_name: Portuguese - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: pt - prefer_old: False - long_pair: jpn-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "pt"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-pt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "pt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "pt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-por * source group: Japanese * target group: Portuguese * OPUS readme: jpn-por * model: transformer-align * source language(s): jpn jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii * target language(s): por por\_Hira * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.2, chr-F: 0.444 ### System Info: * hf\_name: jpn-por * source\_languages: jpn * target\_languages: por * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'pt'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'por'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: por * short\_pair: ja-pt * chrF2\_score: 0.444 * bleu: 22.2 * brevity\_penalty: 0.922 * ref\_len: 15570.0 * src\_name: Japanese * tgt\_name: Portuguese * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: pt * prefer\_old: False * long\_pair: jpn-por * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-por\n\n\n* source group: Japanese\n* target group: Portuguese\n* OPUS readme: jpn-por\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): por por\\_Hira\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.444", "### System Info:\n\n\n* hf\\_name: jpn-por\n* source\\_languages: jpn\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'pt']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'por'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: por\n* short\\_pair: ja-pt\n* chrF2\\_score: 0.444\n* bleu: 22.2\n* brevity\\_penalty: 0.922\n* ref\\_len: 15570.0\n* src\\_name: Japanese\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: jpn-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-por\n\n\n* source group: Japanese\n* target group: Portuguese\n* OPUS readme: jpn-por\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): por por\\_Hira\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.444", "### System Info:\n\n\n* hf\\_name: jpn-por\n* source\\_languages: jpn\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'pt']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'por'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: por\n* short\\_pair: ja-pt\n* chrF2\\_score: 0.444\n* bleu: 22.2\n* brevity\\_penalty: 0.922\n* ref\\_len: 15570.0\n* src\\_name: Japanese\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: jpn-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 197, 464 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-por\n\n\n* source group: Japanese\n* target group: Portuguese\n* OPUS readme: jpn-por\n* model: transformer-align\n* source language(s): jpn jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): por por\\_Hira\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.2, chr-F: 0.444" ]	[ -0.06304574012756348, 0.1327999234199524, -0.003443399677053094, 0.014709364622831345, 0.09144934266805649, 0.026943549513816833, 0.05933034420013428, 0.18189497292041779, -0.031326644122600555, 0.05297889932990074, 0.0671398788690567, 0.06146729364991188, 0.08957123011350632, 0.07562996447086334, -0.030106740072369576, -0.17895033955574036, 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null	null	transformers	### jpn-rus * source group: Japanese * target group: Russian * OPUS readme: [jpn-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md) * model: transformer-align * source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.rus \| 23.2 \| 0.441 \| ### System Info: - hf_name: jpn-rus - source_languages: jpn - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'ru'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: rus - short_pair: ja-ru - chrF2_score: 0.441 - bleu: 23.2 - brevity_penalty: 0.9740000000000001 - ref_len: 70820.0 - src_name: Japanese - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: ru - prefer_old: False - long_pair: jpn-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-rus * source group: Japanese * target group: Russian * OPUS readme: jpn-rus * model: transformer-align * source language(s): jpn jpn\_Bopo jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.2, chr-F: 0.441 ### System Info: * hf\_name: jpn-rus * source\_languages: jpn * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'ru'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: rus * short\_pair: ja-ru * chrF2\_score: 0.441 * bleu: 23.2 * brevity\_penalty: 0.9740000000000001 * ref\_len: 70820.0 * src\_name: Japanese * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: ru * prefer\_old: False * long\_pair: jpn-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-rus\n\n\n* source group: Japanese\n* target group: Russian\n* OPUS readme: jpn-rus\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.441", "### System Info:\n\n\n* hf\\_name: jpn-rus\n* source\\_languages: jpn\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ru']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: rus\n* short\\_pair: ja-ru\n* chrF2\\_score: 0.441\n* bleu: 23.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 70820.0\n* src\\_name: Japanese\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: jpn-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-rus\n\n\n* source group: Japanese\n* target group: Russian\n* OPUS readme: jpn-rus\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.441", "### System Info:\n\n\n* hf\\_name: jpn-rus\n* source\\_languages: jpn\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'ru']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: rus\n* short\\_pair: ja-ru\n* chrF2\\_score: 0.441\n* bleu: 23.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 70820.0\n* src\\_name: Japanese\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: jpn-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 170, 465 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-rus\n\n\n* source group: Japanese\n* target group: Russian\n* OPUS readme: jpn-rus\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.441" ]	[ -0.0741296112537384, 0.11237991601228714, -0.004991444293409586, 0.02885936014354229, 0.046120911836624146, 0.015424245037138462, 0.11664851009845734, 0.15758568048477173, -0.012786484323441982, 0.05499161407351494, 0.10994777083396912, 0.01654180884361267, 0.0528237521648407, 0.1777089387178421, -0.0395379476249218, -0.1473919004201889, 0.0408879891037941, 0.06124478206038475, -0.07676061242818832, 0.1503480076789856, 0.09129270166158676, -0.04302814602851868, 0.07382863759994507, -0.030653858557343483, -0.05249660834670067, 0.07869159430265427, 0.01004424225538969, -0.07364407181739807, 0.014867155812680721, 0.07431025058031082, 0.05487082153558731, 0.06391213834285736, -0.01723104901611805, -0.19653750956058502, 0.010442005470395088, -0.0009760703542269766, -0.04929009824991226, 0.021767152473330498, 0.10336446762084961, -0.027117488905787468, 0.16449517011642456, 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null	null	transformers	### jpn-hbs * source group: Japanese * target group: Serbo-Croatian * OPUS readme: [jpn-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md) * model: transformer-align * source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn * target language(s): bos_Latn hrv srp_Cyrl srp_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.hbs \| 22.6 \| 0.447 \| ### System Info: - hf_name: jpn-hbs - source_languages: jpn - target_languages: hbs - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'sh'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: hbs - short_pair: ja-sh - chrF2_score: 0.447 - bleu: 22.6 - brevity_penalty: 0.9620000000000001 - ref_len: 2525.0 - src_name: Japanese - tgt_name: Serbo-Croatian - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: sh - prefer_old: False - long_pair: jpn-hbs - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "sh"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-sh	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "sh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "sh" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-hbs * source group: Japanese * target group: Serbo-Croatian * OPUS readme: jpn-hbs * model: transformer-align * source language(s): jpn jpn\_Bopo jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn * target language(s): bos\_Latn hrv srp\_Cyrl srp\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.6, chr-F: 0.447 ### System Info: * hf\_name: jpn-hbs * source\_languages: jpn * target\_languages: hbs * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'sh'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'hrv', 'srp\_Cyrl', 'bos\_Latn', 'srp\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: hbs * short\_pair: ja-sh * chrF2\_score: 0.447 * bleu: 22.6 * brevity\_penalty: 0.9620000000000001 * ref\_len: 2525.0 * src\_name: Japanese * tgt\_name: Serbo-Croatian * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: sh * prefer\_old: False * long\_pair: jpn-hbs * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-hbs\n\n\n* source group: Japanese\n* target group: Serbo-Croatian\n* OPUS readme: jpn-hbs\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.6, chr-F: 0.447", "### System Info:\n\n\n* hf\\_name: jpn-hbs\n* source\\_languages: jpn\n* target\\_languages: hbs\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'sh']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: hbs\n* short\\_pair: ja-sh\n* chrF2\\_score: 0.447\n* bleu: 22.6\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 2525.0\n* src\\_name: Japanese\n* tgt\\_name: Serbo-Croatian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: sh\n* prefer\\_old: False\n* long\\_pair: jpn-hbs\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-hbs\n\n\n* source group: Japanese\n* target group: Serbo-Croatian\n* OPUS readme: jpn-hbs\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.6, chr-F: 0.447", "### System Info:\n\n\n* hf\\_name: jpn-hbs\n* source\\_languages: jpn\n* target\\_languages: hbs\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'sh']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'hrv', 'srp\\_Cyrl', 'bos\\_Latn', 'srp\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: hbs\n* short\\_pair: ja-sh\n* chrF2\\_score: 0.447\n* bleu: 22.6\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 2525.0\n* src\\_name: Japanese\n* tgt\\_name: Serbo-Croatian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: sh\n* prefer\\_old: False\n* long\\_pair: jpn-hbs\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 218, 505 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #sh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-hbs\n\n\n* source group: Japanese\n* target group: Serbo-Croatian\n* OPUS readme: jpn-hbs\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn\n* target language(s): bos\\_Latn hrv srp\\_Cyrl srp\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.6, chr-F: 0.447" ]	[ -0.04006773233413696, 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null	null	transformers	### opus-mt-ja-sv * source languages: ja * target languages: sv * OPUS readme: [ja-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ja.sv \| 26.1 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ja-sv * source languages: ja * target languages: sv * OPUS readme: ja-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.1, chr-F: 0.445	[ "### opus-mt-ja-sv\n\n\n* source languages: ja\n* target languages: sv\n* OPUS readme: ja-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ja-sv\n\n\n* source languages: ja\n* target languages: sv\n* OPUS readme: ja-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ja-sv\n\n\n* source languages: ja\n* target languages: sv\n* OPUS readme: ja-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### jpn-tur * source group: Japanese * target group: Turkish * OPUS readme: [jpn-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md) * model: transformer-align * source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Yiii * target language(s): tur * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.tur \| 16.7 \| 0.434 \| ### System Info: - hf_name: jpn-tur - source_languages: jpn - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'tr'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: tur - short_pair: ja-tr - chrF2_score: 0.434 - bleu: 16.7 - brevity_penalty: 0.932 - ref_len: 4755.0 - src_name: Japanese - tgt_name: Turkish - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: tr - prefer_old: False - long_pair: jpn-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "tr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-tr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "tr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "tr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-tur * source group: Japanese * target group: Turkish * OPUS readme: jpn-tur * model: transformer-align * source language(s): jpn jpn\_Bopo jpn\_Hang jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Yiii * target language(s): tur * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 16.7, chr-F: 0.434 ### System Info: * hf\_name: jpn-tur * source\_languages: jpn * target\_languages: tur * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'tr'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'tur'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: tur * short\_pair: ja-tr * chrF2\_score: 0.434 * bleu: 16.7 * brevity\_penalty: 0.932 * ref\_len: 4755.0 * src\_name: Japanese * tgt\_name: Turkish * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: tr * prefer\_old: False * long\_pair: jpn-tur * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-tur\n\n\n* source group: Japanese\n* target group: Turkish\n* OPUS readme: jpn-tur\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.7, chr-F: 0.434", "### System Info:\n\n\n* hf\\_name: jpn-tur\n* source\\_languages: jpn\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'tr']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'tur'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: tur\n* short\\_pair: ja-tr\n* chrF2\\_score: 0.434\n* bleu: 16.7\n* brevity\\_penalty: 0.932\n* ref\\_len: 4755.0\n* src\\_name: Japanese\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: jpn-tur\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-tur\n\n\n* source group: Japanese\n* target group: Turkish\n* OPUS readme: jpn-tur\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.7, chr-F: 0.434", "### System Info:\n\n\n* hf\\_name: jpn-tur\n* source\\_languages: jpn\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'tr']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'tur'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: tur\n* short\\_pair: ja-tr\n* chrF2\\_score: 0.434\n* bleu: 16.7\n* brevity\\_penalty: 0.932\n* ref\\_len: 4755.0\n* src\\_name: Japanese\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: jpn-tur\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 170, 463 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-tur\n\n\n* source group: Japanese\n* target group: Turkish\n* OPUS readme: jpn-tur\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Yiii\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.7, chr-F: 0.434" ]	[ -0.07087111473083496, 0.08046192675828934, -0.0046327318996191025, 0.03186694160103798, 0.052112482488155365, 0.029117554426193237, 0.10398918390274048, 0.15859189629554749, -0.024277538061141968, 0.04355839639902115, 0.09441087394952774, 0.04179538041353226, 0.07765435427427292, 0.14663484692573547, -0.05406723544001579, -0.15592223405838013, 0.030341748148202896, 0.06060685217380524, -0.06252077221870422, 0.15711098909378052, 0.08216145634651184, -0.033969711512327194, 0.0799722969532013, -0.026103226467967033, -0.0736982524394989, 0.06537439674139023, 0.004265397787094116, -0.0847211480140686, 0.021574094891548157, 0.06503020226955414, 0.0603100061416626, 0.05123589560389519, -0.019683383405208588, -0.18225981295108795, 0.01971222460269928, 0.0005676149157807231, -0.036602433770895004, 0.023663906380534172, 0.09621810168027878, -0.03015080653131008, 0.17073954641819, -0.07237174361944199, 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null	null	transformers	### jpn-vie * source group: Japanese * target group: Vietnamese * OPUS readme: [jpn-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md) * model: transformer-align * source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.jpn.vie \| 20.3 \| 0.380 \| ### System Info: - hf_name: jpn-vie - source_languages: jpn - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ja', 'vi'] - src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt - src_alpha3: jpn - tgt_alpha3: vie - short_pair: ja-vi - chrF2_score: 0.38 - bleu: 20.3 - brevity_penalty: 0.909 - ref_len: 10779.0 - src_name: Japanese - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: ja - tgt_alpha2: vi - prefer_old: False - long_pair: jpn-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ja", "vi"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ja-vi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ja", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ja", "vi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ja #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### jpn-vie * source group: Japanese * target group: Vietnamese * OPUS readme: jpn-vie * model: transformer-align * source language(s): jpn jpn\_Bopo jpn\_Hang jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.3, chr-F: 0.380 ### System Info: * hf\_name: jpn-vie * source\_languages: jpn * target\_languages: vie * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ja', 'vi'] * src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'} * tgt\_constituents: {'vie', 'vie\_Hani'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: jpn * tgt\_alpha3: vie * short\_pair: ja-vi * chrF2\_score: 0.38 * bleu: 20.3 * brevity\_penalty: 0.909 * ref\_len: 10779.0 * src\_name: Japanese * tgt\_name: Vietnamese * train\_date: 2020-06-17 * src\_alpha2: ja * tgt\_alpha2: vi * prefer\_old: False * long\_pair: jpn-vie * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### jpn-vie\n\n\n* source group: Japanese\n* target group: Vietnamese\n* OPUS readme: jpn-vie\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: jpn-vie\n* source\\_languages: jpn\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'vi']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: vie\n* short\\_pair: ja-vi\n* chrF2\\_score: 0.38\n* bleu: 20.3\n* brevity\\_penalty: 0.909\n* ref\\_len: 10779.0\n* src\\_name: Japanese\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: jpn-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### jpn-vie\n\n\n* source group: Japanese\n* target group: Vietnamese\n* OPUS readme: jpn-vie\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: jpn-vie\n* source\\_languages: jpn\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ja', 'vi']\n* src\\_constituents: {'jpn\\_Hang', 'jpn', 'jpn\\_Yiii', 'jpn\\_Kana', 'jpn\\_Hani', 'jpn\\_Bopo', 'jpn\\_Latn', 'jpn\\_Hira'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: jpn\n* tgt\\_alpha3: vie\n* short\\_pair: ja-vi\n* chrF2\\_score: 0.38\n* bleu: 20.3\n* brevity\\_penalty: 0.909\n* ref\\_len: 10779.0\n* src\\_name: Japanese\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ja\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: jpn-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 177, 471 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ja #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### jpn-vie\n\n\n* source group: Japanese\n* target group: Vietnamese\n* OPUS readme: jpn-vie\n* model: transformer-align\n* source language(s): jpn jpn\\_Bopo jpn\\_Hang jpn\\_Hani jpn\\_Hira jpn\\_Kana jpn\\_Latn jpn\\_Yiii\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.3, chr-F: 0.380" ]	[ -0.08530008047819138, 0.1598227620124817, -0.0037037513684481382, 0.048620522022247314, 0.04268597811460495, -0.005274458788335323, 0.09013237804174423, 0.19254808127880096, -0.016090184450149536, 0.0631500780582428, 0.08990775048732758, 0.06406320631504059, 0.08053164184093475, 0.17035211622714996, -0.03881172463297844, -0.15591853857040405, 0.05602765455842018, 0.07806072384119034, -0.04174107313156128, 0.14983895421028137, 0.06552284955978394, -0.052407413721084595, 0.1066620945930481, -0.007010999601334333, -0.05043379217386246, 0.05337591469287872, -0.031209703534841537, -0.06311649084091187, 0.030889270827174187, 0.018869373947381973, 0.04532808065414429, 0.05275086313486099, -0.013233677484095097, -0.19653576612472534, 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null	null	transformers	### opus-mt-jap-en * source languages: jap * target languages: en * OPUS readme: [jap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/jap-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.jap.en \| 52.6 \| 0.703 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-jap-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "jap", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #jap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-jap-en * source languages: jap * target languages: en * OPUS readme: jap-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.6, chr-F: 0.703	[ "### opus-mt-jap-en\n\n\n* source languages: jap\n* target languages: en\n* OPUS readme: jap-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.703" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #jap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-jap-en\n\n\n* source languages: jap\n* target languages: en\n* OPUS readme: jap-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.703" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #jap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-jap-en\n\n\n* source languages: jap\n* target languages: en\n* OPUS readme: jap-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.703" ]	[ -0.09983952343463898, 0.16439774632453918, -0.005061720497906208, 0.06783314794301987, 0.0741434320807457, -0.0004105313855689019, 0.03635162115097046, 0.17588461935520172, -0.03447391092777252, -0.01259725634008646, 0.11978712677955627, 0.17563363909721375, 0.03225916624069214, 0.1372697353363037, -0.07997174561023712, -0.1143500953912735, 0.03705877438187599, 0.06174395605921745, -0.027308980002999306, 0.15410029888153076, 0.09915391355752945, -0.010464528575539589, 0.08811066299676895, -0.0250107292085886, -0.058607857674360275, 0.08435893803834915, 0.017148582264780998, -0.07797752320766449, 0.04924803972244263, 0.0567949153482914, 0.0442633330821991, 0.048986468464136124, -0.05808402970433235, -0.20938453078269958, 0.019827211275696754, 0.019855331629514694, -0.03492299094796181, 0.029493441805243492, 0.06707118451595306, -0.08627895265817642, 0.060744572430849075, -0.052697572857141495, 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null	null	transformers	### kat-eng * source group: Georgian * target group: English * OPUS readme: [kat-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md) * model: transformer-align * source language(s): kat * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kat.eng \| 37.9 \| 0.538 \| ### System Info: - hf_name: kat-eng - source_languages: kat - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'en'] - src_constituents: {'kat'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt - src_alpha3: kat - tgt_alpha3: eng - short_pair: ka-en - chrF2_score: 0.5379999999999999 - bleu: 37.9 - brevity_penalty: 0.991 - ref_len: 5992.0 - src_name: Georgian - tgt_name: English - train_date: 2020-06-16 - src_alpha2: ka - tgt_alpha2: en - prefer_old: False - long_pair: kat-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ka", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ka-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ka", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ka", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ka #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kat-eng * source group: Georgian * target group: English * OPUS readme: kat-eng * model: transformer-align * source language(s): kat * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.9, chr-F: 0.538 ### System Info: * hf\_name: kat-eng * source\_languages: kat * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ka', 'en'] * src\_constituents: {'kat'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kat * tgt\_alpha3: eng * short\_pair: ka-en * chrF2\_score: 0.5379999999999999 * bleu: 37.9 * brevity\_penalty: 0.991 * ref\_len: 5992.0 * src\_name: Georgian * tgt\_name: English * train\_date: 2020-06-16 * src\_alpha2: ka * tgt\_alpha2: en * prefer\_old: False * long\_pair: kat-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kat-eng\n\n\n* source group: Georgian\n* target group: English\n* OPUS readme: kat-eng\n* model: transformer-align\n* source language(s): kat\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.538", "### System Info:\n\n\n* hf\\_name: kat-eng\n* source\\_languages: kat\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'en']\n* src\\_constituents: {'kat'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kat\n* tgt\\_alpha3: eng\n* short\\_pair: ka-en\n* chrF2\\_score: 0.5379999999999999\n* bleu: 37.9\n* brevity\\_penalty: 0.991\n* ref\\_len: 5992.0\n* src\\_name: Georgian\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: ka\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: kat-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kat-eng\n\n\n* source group: Georgian\n* target group: English\n* OPUS readme: kat-eng\n* model: transformer-align\n* source language(s): kat\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.538", "### System Info:\n\n\n* hf\\_name: kat-eng\n* source\\_languages: kat\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'en']\n* src\\_constituents: {'kat'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kat\n* tgt\\_alpha3: eng\n* short\\_pair: ka-en\n* chrF2\\_score: 0.5379999999999999\n* bleu: 37.9\n* brevity\\_penalty: 0.991\n* ref\\_len: 5992.0\n* src\\_name: Georgian\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: ka\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: kat-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 391 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kat-eng\n\n\n* source group: Georgian\n* target group: English\n* OPUS readme: kat-eng\n* model: transformer-align\n* source language(s): kat\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.538" ]	[ -0.10335376858711243, 0.028437474742531776, -0.0027632813435047865, 0.04068109765648842, 0.10886356234550476, 0.015930356457829475, 0.06728839129209518, 0.11960653215646744, 0.051495689898729324, 0.020754845812916756, 0.1061389222741127, 0.11721799522638321, 0.03253404423594475, 0.15444022417068481, -0.014258617535233498, -0.20202015340328217, 0.05125608295202255, 0.04348098486661911, -0.059986136853694916, 0.13082529604434967, 0.10677319020032883, -0.040008071810007095, 0.10957012325525284, -0.010730101726949215, -0.04686453193426132, 0.08223430812358856, 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null	null	transformers	### kat-rus * source group: Georgian * target group: Russian * OPUS readme: [kat-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md) * model: transformer-align * source language(s): kat * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kat.rus \| 38.2 \| 0.604 \| ### System Info: - hf_name: kat-rus - source_languages: kat - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'ru'] - src_constituents: {'kat'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt - src_alpha3: kat - tgt_alpha3: rus - short_pair: ka-ru - chrF2_score: 0.604 - bleu: 38.2 - brevity_penalty: 0.996 - ref_len: 3899.0 - src_name: Georgian - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: ka - tgt_alpha2: ru - prefer_old: False - long_pair: kat-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ka", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ka-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ka", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ka", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ka #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kat-rus * source group: Georgian * target group: Russian * OPUS readme: kat-rus * model: transformer-align * source language(s): kat * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 38.2, chr-F: 0.604 ### System Info: * hf\_name: kat-rus * source\_languages: kat * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ka', 'ru'] * src\_constituents: {'kat'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kat * tgt\_alpha3: rus * short\_pair: ka-ru * chrF2\_score: 0.604 * bleu: 38.2 * brevity\_penalty: 0.996 * ref\_len: 3899.0 * src\_name: Georgian * tgt\_name: Russian * train\_date: 2020-06-16 * src\_alpha2: ka * tgt\_alpha2: ru * prefer\_old: False * long\_pair: kat-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kat-rus\n\n\n* source group: Georgian\n* target group: Russian\n* OPUS readme: kat-rus\n* model: transformer-align\n* source language(s): kat\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.2, chr-F: 0.604", "### System Info:\n\n\n* hf\\_name: kat-rus\n* source\\_languages: kat\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'ru']\n* src\\_constituents: {'kat'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kat\n* tgt\\_alpha3: rus\n* short\\_pair: ka-ru\n* chrF2\\_score: 0.604\n* bleu: 38.2\n* brevity\\_penalty: 0.996\n* ref\\_len: 3899.0\n* src\\_name: Georgian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ka\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: kat-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kat-rus\n\n\n* source group: Georgian\n* target group: Russian\n* OPUS readme: kat-rus\n* model: transformer-align\n* source language(s): kat\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.2, chr-F: 0.604", "### System Info:\n\n\n* hf\\_name: kat-rus\n* source\\_languages: kat\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'ru']\n* src\\_constituents: {'kat'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kat\n* tgt\\_alpha3: rus\n* short\\_pair: ka-ru\n* chrF2\\_score: 0.604\n* bleu: 38.2\n* brevity\\_penalty: 0.996\n* ref\\_len: 3899.0\n* src\\_name: Georgian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ka\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: kat-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 121, 390 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kat-rus\n\n\n* source group: Georgian\n* target group: Russian\n* OPUS readme: kat-rus\n* model: transformer-align\n* source language(s): kat\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.2, chr-F: 0.604" ]	[ -0.08649203926324844, 0.01296254899352789, -0.002849700627848506, 0.028838954865932465, 0.12463217973709106, 0.018098318949341774, 0.10350127518177032, 0.10683748126029968, 0.06096072867512703, 0.017734529450535774, 0.11117733269929886, 0.060028403997421265, 0.024671195074915886, 0.17513246834278107, 0.007842323742806911, -0.20952542126178741, 0.06090259552001953, 0.017377853393554688, -0.08164943009614944, 0.1264921873807907, 0.10879338532686234, -0.03566400706768036, 0.0922689437866211, -0.02940903976559639, -0.04359756037592888, 0.09510260075330734, 0.028883831575512886, -0.08753586560487747, 0.04020216315984726, 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null	null	transformers	### opus-mt-kab-en * source languages: kab * target languages: en * OPUS readme: [kab-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kab-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.kab.en \| 27.5 \| 0.408 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kab-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kab", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kab #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kab-en * source languages: kab * target languages: en * OPUS readme: kab-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.5, chr-F: 0.408	[ "### opus-mt-kab-en\n\n\n* source languages: kab\n* target languages: en\n* OPUS readme: kab-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.408" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kab #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kab-en\n\n\n* source languages: kab\n* target languages: en\n* OPUS readme: kab-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.408" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kab #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kab-en\n\n\n* source languages: kab\n* target languages: en\n* OPUS readme: kab-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.408" ]	[ -0.09411495178937912, 0.006994777824729681, -0.003888280363753438, 0.037409886717796326, 0.06631577759981155, -0.007282824255526066, 0.052674923092126846, 0.1522504687309265, -0.004860677756369114, 0.006202408578246832, 0.13249701261520386, 0.17330877482891083, 0.04511338472366333, 0.18581470847129822, -0.08513296395540237, -0.12569692730903625, 0.049557074904441833, 0.03755982965230942, -0.004388623405247927, 0.14148858189582825, 0.0964951142668724, -0.02379552833735943, 0.09297017008066177, -0.02954730950295925, -0.04722701013088226, 0.05477264150977135, 0.028355488553643227, -0.10986214876174927, 0.054662518203258514, 0.05872878432273865, 0.03492380306124687, 0.06490994244813919, -0.05157823860645294, -0.2395501285791397, 0.02300800196826458, -0.007358304690569639, -0.020091328769922256, 0.005538124591112137, -0.022463293746113777, -0.07962248474359512, 0.08661216497421265, -0.0604974702000618, 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null	null	transformers	### opus-mt-kg-en * source languages: kg * target languages: en * OPUS readme: [kg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kg.en \| 35.4 \| 0.508 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kg-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kg", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kg-en * source languages: kg * target languages: en * OPUS readme: kg-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.4, chr-F: 0.508	[ "### opus-mt-kg-en\n\n\n* source languages: kg\n* target languages: en\n* OPUS readme: kg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.508" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kg-en\n\n\n* source languages: kg\n* target languages: en\n* OPUS readme: kg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.508" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kg-en\n\n\n* source languages: kg\n* target languages: en\n* OPUS readme: kg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kg-es * source languages: kg * target languages: es * OPUS readme: [kg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kg.es \| 22.4 \| 0.402 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kg-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kg", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kg-es * source languages: kg * target languages: es * OPUS readme: kg-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.4, chr-F: 0.402	[ "### opus-mt-kg-es\n\n\n* source languages: kg\n* target languages: es\n* OPUS readme: kg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.402" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kg-es\n\n\n* source languages: kg\n* target languages: es\n* OPUS readme: kg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.402" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kg-es\n\n\n* source languages: kg\n* target languages: es\n* OPUS readme: kg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kg-fr * source languages: kg * target languages: fr * OPUS readme: [kg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kg.fr \| 26.0 \| 0.433 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kg-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kg", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kg-fr * source languages: kg * target languages: fr * OPUS readme: kg-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.0, chr-F: 0.433	[ "### opus-mt-kg-fr\n\n\n* source languages: kg\n* target languages: fr\n* OPUS readme: kg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.433" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kg-fr\n\n\n* source languages: kg\n* target languages: fr\n* OPUS readme: kg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.433" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kg-fr\n\n\n* source languages: kg\n* target languages: fr\n* OPUS readme: kg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kg-sv * source languages: kg * target languages: sv * OPUS readme: [kg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kg.sv \| 26.3 \| 0.440 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kg-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kg", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kg-sv * source languages: kg * target languages: sv * OPUS readme: kg-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.3, chr-F: 0.440	[ "### opus-mt-kg-sv\n\n\n* source languages: kg\n* target languages: sv\n* OPUS readme: kg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.440" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kg-sv\n\n\n* source languages: kg\n* target languages: sv\n* OPUS readme: kg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.440" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kg-sv\n\n\n* source languages: kg\n* target languages: sv\n* OPUS readme: kg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kj-en * source languages: kj * target languages: en * OPUS readme: [kj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kj-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kj.en \| 30.3 \| 0.477 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kj-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kj", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kj-en * source languages: kj * target languages: en * OPUS readme: kj-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.3, chr-F: 0.477	[ "### opus-mt-kj-en\n\n\n* source languages: kj\n* target languages: en\n* OPUS readme: kj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.3, chr-F: 0.477" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kj-en\n\n\n* source languages: kj\n* target languages: en\n* OPUS readme: kj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.3, chr-F: 0.477" ]	[ 62, 104 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kj-en\n\n\n* source languages: kj\n* target languages: en\n* OPUS readme: kj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kl-en * source languages: kl * target languages: en * OPUS readme: [kl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kl-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kl.en \| 26.4 \| 0.432 \| \| Tatoeba.kl.en \| 35.5 \| 0.443 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kl-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kl", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kl-en * source languages: kl * target languages: en * OPUS readme: kl-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.4, chr-F: 0.432 testset: URL, BLEU: 35.5, chr-F: 0.443	[ "### opus-mt-kl-en\n\n\n* source languages: kl\n* target languages: en\n* OPUS readme: kl-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.432\ntestset: URL, BLEU: 35.5, chr-F: 0.443" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kl-en\n\n\n* source languages: kl\n* target languages: en\n* OPUS readme: kl-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.432\ntestset: URL, BLEU: 35.5, chr-F: 0.443" ]	[ 61, 118 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kl-en\n\n\n* source languages: kl\n* target languages: en\n* OPUS readme: kl-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.432\ntestset: URL, BLEU: 35.5, chr-F: 0.443" ]	[ -0.1111103966832161, 0.10271362960338593, -0.003767100628465414, 0.05624426156282425, 0.04186876118183136, -0.0003112722188234329, 0.047904860228300095, 0.1680338829755783, -0.004359204787760973, -0.01440949272364378, 0.12618131935596466, 0.12644973397254944, 0.02032487839460373, 0.13651305437088013, -0.06665372848510742, -0.15111814439296722, 0.0034662990365177393, 0.060457319021224976, -0.07423413544893265, 0.14055438339710236, 0.0774061307311058, -0.04556112736463547, 0.07393296808004379, -0.04233971983194351, -0.024779576808214188, 0.08387535065412521, 0.020423436537384987, -0.08845701068639755, 0.06348785758018494, 0.05369478836655617, 0.040136076509952545, 0.0935874879360199, -0.03589820861816406, -0.20517589151859283, 0.014390739612281322, -0.00377836381085217, 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null	null	transformers	### opus-mt-ko-de * source languages: ko * target languages: de * OPUS readme: [ko-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ko.de \| 30.2 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ko-de * source languages: ko * target languages: de * OPUS readme: ko-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.2, chr-F: 0.523	[ "### opus-mt-ko-de\n\n\n* source languages: ko\n* target languages: de\n* OPUS readme: ko-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.2, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ko-de\n\n\n* source languages: ko\n* target languages: de\n* OPUS readme: ko-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.2, chr-F: 0.523" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ko-de\n\n\n* source languages: ko\n* target languages: de\n* OPUS readme: ko-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### kor-eng * source group: Korean * target group: English * OPUS readme: [kor-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.eng \| 41.3 \| 0.588 \| ### System Info: - hf_name: kor-eng - source_languages: kor - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'en'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: eng - short_pair: ko-en - chrF2_score: 0.588 - bleu: 41.3 - brevity_penalty: 0.9590000000000001 - ref_len: 17711.0 - src_name: Korean - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: en - prefer_old: False - long_pair: kor-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-eng * source group: Korean * target group: English * OPUS readme: kor-eng * model: transformer-align * source language(s): kor kor\_Hang kor\_Latn * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.3, chr-F: 0.588 ### System Info: * hf\_name: kor-eng * source\_languages: kor * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'en'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: eng * short\_pair: ko-en * chrF2\_score: 0.588 * bleu: 41.3 * brevity\_penalty: 0.9590000000000001 * ref\_len: 17711.0 * src\_name: Korean * tgt\_name: English * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: en * prefer\_old: False * long\_pair: kor-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-eng\n\n\n* source group: Korean\n* target group: English\n* OPUS readme: kor-eng\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.588", "### System Info:\n\n\n* hf\\_name: kor-eng\n* source\\_languages: kor\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'en']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: eng\n* short\\_pair: ko-en\n* chrF2\\_score: 0.588\n* bleu: 41.3\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 17711.0\n* src\\_name: Korean\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: kor-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-eng\n\n\n* source group: Korean\n* target group: English\n* OPUS readme: kor-eng\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.588", "### System Info:\n\n\n* hf\\_name: kor-eng\n* source\\_languages: kor\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'en']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: eng\n* short\\_pair: ko-en\n* chrF2\\_score: 0.588\n* bleu: 41.3\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 17711.0\n* src\\_name: Korean\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: kor-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 130, 415 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-eng\n\n\n* source group: Korean\n* target group: English\n* OPUS readme: kor-eng\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.588" ]	[ -0.04156104847788811, -0.031689390540122986, -0.0021852264180779457, 0.02694021165370941, 0.0909116268157959, -0.004835918545722961, 0.07221142202615738, 0.12001526355743408, 0.0008031491306610405, 0.007119168993085623, 0.08008384704589844, 0.11187213659286499, 0.06440916657447815, 0.13621969521045685, -0.01818041130900383, 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null	null	transformers	### kor-spa * source group: Korean * target group: Spanish * OPUS readme: [kor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.spa \| 31.3 \| 0.521 \| ### System Info: - hf_name: kor-spa - source_languages: kor - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'es'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: spa - short_pair: ko-es - chrF2_score: 0.521 - bleu: 31.3 - brevity_penalty: 0.95 - ref_len: 6805.0 - src_name: Korean - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: es - prefer_old: False - long_pair: kor-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "es"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-spa * source group: Korean * target group: Spanish * OPUS readme: kor-spa * model: transformer-align * source language(s): kor kor\_Hang kor\_Latn * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.3, chr-F: 0.521 ### System Info: * hf\_name: kor-spa * source\_languages: kor * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'es'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: spa * short\_pair: ko-es * chrF2\_score: 0.521 * bleu: 31.3 * brevity\_penalty: 0.95 * ref\_len: 6805.0 * src\_name: Korean * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: es * prefer\_old: False * long\_pair: kor-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-spa\n\n\n* source group: Korean\n* target group: Spanish\n* OPUS readme: kor-spa\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.521", "### System Info:\n\n\n* hf\\_name: kor-spa\n* source\\_languages: kor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'es']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: spa\n* short\\_pair: ko-es\n* chrF2\\_score: 0.521\n* bleu: 31.3\n* brevity\\_penalty: 0.95\n* ref\\_len: 6805.0\n* src\\_name: Korean\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: kor-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-spa\n\n\n* source group: Korean\n* target group: Spanish\n* OPUS readme: kor-spa\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.521", "### System Info:\n\n\n* hf\\_name: kor-spa\n* source\\_languages: kor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'es']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: spa\n* short\\_pair: ko-es\n* chrF2\\_score: 0.521\n* bleu: 31.3\n* brevity\\_penalty: 0.95\n* ref\\_len: 6805.0\n* src\\_name: Korean\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: kor-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 130, 412 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-spa\n\n\n* source group: Korean\n* target group: Spanish\n* OPUS readme: kor-spa\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.3, chr-F: 0.521" ]	[ -0.04862281680107117, -0.015283908694982529, -0.002463444834575057, 0.029604701325297356, 0.0945250391960144, -0.009447443298995495, 0.07328779995441437, 0.12389429658651352, -0.00680976826697588, 0.01821003668010235, 0.07571285218000412, 0.1166861429810524, 0.06207924336194992, 0.14804378151893616, -0.02159709669649601, -0.3010830581188202, 0.06284861266613007, 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null	null	transformers	### kor-fin * source group: Korean * target group: Finnish * OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): fin * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.fin \| 26.6 \| 0.502 \| ### System Info: - hf_name: kor-fin - source_languages: kor - target_languages: fin - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'fi'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'fin'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: fin - short_pair: ko-fi - chrF2_score: 0.502 - bleu: 26.6 - brevity_penalty: 0.892 - ref_len: 2251.0 - src_name: Korean - tgt_name: Finnish - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: fi - prefer_old: False - long_pair: kor-fin - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "fi"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "fi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-fin * source group: Korean * target group: Finnish * OPUS readme: kor-fin * model: transformer-align * source language(s): kor kor\_Hang kor\_Latn * target language(s): fin * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.6, chr-F: 0.502 ### System Info: * hf\_name: kor-fin * source\_languages: kor * target\_languages: fin * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'fi'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'fin'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: fin * short\_pair: ko-fi * chrF2\_score: 0.502 * bleu: 26.6 * brevity\_penalty: 0.892 * ref\_len: 2251.0 * src\_name: Korean * tgt\_name: Finnish * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: fi * prefer\_old: False * long\_pair: kor-fin * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-fin\n\n\n* source group: Korean\n* target group: Finnish\n* OPUS readme: kor-fin\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): fin\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.502", "### System Info:\n\n\n* hf\\_name: kor-fin\n* source\\_languages: kor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'fi']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'fin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: fin\n* short\\_pair: ko-fi\n* chrF2\\_score: 0.502\n* bleu: 26.6\n* brevity\\_penalty: 0.892\n* ref\\_len: 2251.0\n* src\\_name: Korean\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: kor-fin\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-fin\n\n\n* source group: Korean\n* target group: Finnish\n* OPUS readme: kor-fin\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): fin\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.502", "### System Info:\n\n\n* hf\\_name: kor-fin\n* source\\_languages: kor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'fi']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'fin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: fin\n* short\\_pair: ko-fi\n* chrF2\\_score: 0.502\n* bleu: 26.6\n* brevity\\_penalty: 0.892\n* ref\\_len: 2251.0\n* src\\_name: Korean\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: kor-fin\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 131, 412 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-fin\n\n\n* source group: Korean\n* target group: Finnish\n* OPUS readme: kor-fin\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): fin\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.6, chr-F: 0.502" ]	[ -0.05514019355177879, -0.02658914215862751, -0.0019732960499823093, 0.030232852324843407, 0.0790918618440628, -0.022090831771492958, 0.08380671590566635, 0.11591675132513046, 0.010088076815009117, 0.03378427028656006, 0.08523969352245331, 0.08499813824892044, 0.07657545059919357, 0.17460910975933075, -0.04016941785812378, -0.2991407513618469, 0.0728805884718895, 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null	null	transformers	### kor-fra * source group: Korean * target group: French * OPUS readme: [kor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Hani kor_Latn * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.fra \| 30.4 \| 0.503 \| ### System Info: - hf_name: kor-fra - source_languages: kor - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'fr'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: fra - short_pair: ko-fr - chrF2_score: 0.503 - bleu: 30.4 - brevity_penalty: 0.9179999999999999 - ref_len: 2714.0 - src_name: Korean - tgt_name: French - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: fr - prefer_old: False - long_pair: kor-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "fr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "fr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-fra * source group: Korean * target group: French * OPUS readme: kor-fra * model: transformer-align * source language(s): kor kor\_Hang kor\_Hani kor\_Latn * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.4, chr-F: 0.503 ### System Info: * hf\_name: kor-fra * source\_languages: kor * target\_languages: fra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'fr'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'fra'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: fra * short\_pair: ko-fr * chrF2\_score: 0.503 * bleu: 30.4 * brevity\_penalty: 0.9179999999999999 * ref\_len: 2714.0 * src\_name: Korean * tgt\_name: French * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: fr * prefer\_old: False * long\_pair: kor-fra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-fra\n\n\n* source group: Korean\n* target group: French\n* OPUS readme: kor-fra\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Hani kor\\_Latn\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.503", "### System Info:\n\n\n* hf\\_name: kor-fra\n* source\\_languages: kor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'fr']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'fra'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: fra\n* short\\_pair: ko-fr\n* chrF2\\_score: 0.503\n* bleu: 30.4\n* brevity\\_penalty: 0.9179999999999999\n* ref\\_len: 2714.0\n* src\\_name: Korean\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: kor-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-fra\n\n\n* source group: Korean\n* target group: French\n* OPUS readme: kor-fra\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Hani kor\\_Latn\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.503", "### System Info:\n\n\n* hf\\_name: kor-fra\n* source\\_languages: kor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'fr']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'fra'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: fra\n* short\\_pair: ko-fr\n* chrF2\\_score: 0.503\n* bleu: 30.4\n* brevity\\_penalty: 0.9179999999999999\n* ref\\_len: 2714.0\n* src\\_name: Korean\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: kor-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 135, 415 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-fra\n\n\n* source group: Korean\n* target group: French\n* OPUS readme: kor-fra\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Hani kor\\_Latn\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.503" ]	[ -0.03451313078403473, -0.009066089056432247, -0.0026985378935933113, 0.01931099407374859, 0.06563827395439148, -0.03739872947335243, 0.07177215814590454, 0.10506276041269302, -0.017948810011148453, 0.02282063476741314, 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null	null	transformers	### kor-hun * source group: Korean * target group: Hungarian * OPUS readme: [kor-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): hun * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.hun \| 28.6 \| 0.520 \| ### System Info: - hf_name: kor-hun - source_languages: kor - target_languages: hun - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'hu'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'hun'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: hun - short_pair: ko-hu - chrF2_score: 0.52 - bleu: 28.6 - brevity_penalty: 0.905 - ref_len: 1615.0 - src_name: Korean - tgt_name: Hungarian - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: hu - prefer_old: False - long_pair: kor-hun - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "hu"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-hu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "hu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-hun * source group: Korean * target group: Hungarian * OPUS readme: kor-hun * model: transformer-align * source language(s): kor kor\_Hang kor\_Latn * target language(s): hun * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.6, chr-F: 0.520 ### System Info: * hf\_name: kor-hun * source\_languages: kor * target\_languages: hun * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'hu'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'hun'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: hun * short\_pair: ko-hu * chrF2\_score: 0.52 * bleu: 28.6 * brevity\_penalty: 0.905 * ref\_len: 1615.0 * src\_name: Korean * tgt\_name: Hungarian * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: hu * prefer\_old: False * long\_pair: kor-hun * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-hun\n\n\n* source group: Korean\n* target group: Hungarian\n* OPUS readme: kor-hun\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.520", "### System Info:\n\n\n* hf\\_name: kor-hun\n* source\\_languages: kor\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'hu']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'hun'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: hun\n* short\\_pair: ko-hu\n* chrF2\\_score: 0.52\n* bleu: 28.6\n* brevity\\_penalty: 0.905\n* ref\\_len: 1615.0\n* src\\_name: Korean\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: kor-hun\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-hun\n\n\n* source group: Korean\n* target group: Hungarian\n* OPUS readme: kor-hun\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.520", "### System Info:\n\n\n* hf\\_name: kor-hun\n* source\\_languages: kor\n* target\\_languages: hun\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'hu']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'hun'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: hun\n* short\\_pair: ko-hu\n* chrF2\\_score: 0.52\n* bleu: 28.6\n* brevity\\_penalty: 0.905\n* ref\\_len: 1615.0\n* src\\_name: Korean\n* tgt\\_name: Hungarian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: hu\n* prefer\\_old: False\n* long\\_pair: kor-hun\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 131, 412 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-hun\n\n\n* source group: Korean\n* target group: Hungarian\n* OPUS readme: kor-hun\n* model: transformer-align\n* source language(s): kor kor\\_Hang kor\\_Latn\n* target language(s): hun\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.520" ]	[ -0.048748429864645004, -0.025476176291704178, -0.001979544060304761, 0.005540760233998299, 0.09148380905389786, -0.013874082826077938, 0.10014593601226807, 0.10511637479066849, 0.011882149614393711, 0.02266167290508747, 0.07614904642105103, 0.08621231466531754, 0.06331926584243774, 0.11192020028829575, -0.022069580852985382, -0.3084689676761627, 0.07998236268758774, 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null	null	transformers	### kor-rus * source group: Korean * target group: Russian * OPUS readme: [kor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md) * model: transformer-align * source language(s): kor_Hang kor_Latn * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kor.rus \| 30.3 \| 0.514 \| ### System Info: - hf_name: kor-rus - source_languages: kor - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'ru'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: rus - short_pair: ko-ru - chrF2_score: 0.514 - bleu: 30.3 - brevity_penalty: 0.961 - ref_len: 1382.0 - src_name: Korean - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: ru - prefer_old: False - long_pair: kor-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ko", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ko", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### kor-rus * source group: Korean * target group: Russian * OPUS readme: kor-rus * model: transformer-align * source language(s): kor\_Hang kor\_Latn * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.3, chr-F: 0.514 ### System Info: * hf\_name: kor-rus * source\_languages: kor * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ko', 'ru'] * src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: kor * tgt\_alpha3: rus * short\_pair: ko-ru * chrF2\_score: 0.514 * bleu: 30.3 * brevity\_penalty: 0.961 * ref\_len: 1382.0 * src\_name: Korean * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: ko * tgt\_alpha2: ru * prefer\_old: False * long\_pair: kor-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### kor-rus\n\n\n* source group: Korean\n* target group: Russian\n* OPUS readme: kor-rus\n* model: transformer-align\n* source language(s): kor\\_Hang kor\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.3, chr-F: 0.514", "### System Info:\n\n\n* hf\\_name: kor-rus\n* source\\_languages: kor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'ru']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: rus\n* short\\_pair: ko-ru\n* chrF2\\_score: 0.514\n* bleu: 30.3\n* brevity\\_penalty: 0.961\n* ref\\_len: 1382.0\n* src\\_name: Korean\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: kor-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### kor-rus\n\n\n* source group: Korean\n* target group: Russian\n* OPUS readme: kor-rus\n* model: transformer-align\n* source language(s): kor\\_Hang kor\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.3, chr-F: 0.514", "### System Info:\n\n\n* hf\\_name: kor-rus\n* source\\_languages: kor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ko', 'ru']\n* src\\_constituents: {'kor\\_Hani', 'kor\\_Hang', 'kor\\_Latn', 'kor'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: kor\n* tgt\\_alpha3: rus\n* short\\_pair: ko-ru\n* chrF2\\_score: 0.514\n* bleu: 30.3\n* brevity\\_penalty: 0.961\n* ref\\_len: 1382.0\n* src\\_name: Korean\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ko\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: kor-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 130, 412 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### kor-rus\n\n\n* source group: Korean\n* target group: Russian\n* OPUS readme: kor-rus\n* model: transformer-align\n* source language(s): kor\\_Hang kor\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.3, chr-F: 0.514" ]	[ -0.04018675908446312, -0.03240594640374184, -0.0028581179212778807, 0.0225836168974638, 0.1083841547369957, 0.00007972854655236006, 0.10634860396385193, 0.10619676113128662, 0.016982780769467354, 0.005937310867011547, 0.08855923265218735, 0.06836230307817459, 0.0515294149518013, 0.16534854471683502, 0.0012932117097079754, -0.28709182143211365, 0.06084717810153961, 0.003345301141962409, 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null	null	transformers	### opus-mt-ko-sv * source languages: ko * target languages: sv * OPUS readme: [ko-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ko.sv \| 26.5 \| 0.468 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ko-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ko", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ko #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ko-sv * source languages: ko * target languages: sv * OPUS readme: ko-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.5, chr-F: 0.468	[ "### opus-mt-ko-sv\n\n\n* source languages: ko\n* target languages: sv\n* OPUS readme: ko-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.5, chr-F: 0.468" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ko-sv\n\n\n* source languages: ko\n* target languages: sv\n* OPUS readme: ko-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.5, chr-F: 0.468" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ko #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ko-sv\n\n\n* source languages: ko\n* target languages: sv\n* OPUS readme: ko-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-kqn-en * source languages: kqn * target languages: en * OPUS readme: [kqn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kqn.en \| 32.6 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kqn-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kqn", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kqn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kqn-en * source languages: kqn * target languages: en * OPUS readme: kqn-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.6, chr-F: 0.480	[ "### opus-mt-kqn-en\n\n\n* source languages: kqn\n* target languages: en\n* OPUS readme: kqn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kqn-en\n\n\n* source languages: kqn\n* target languages: en\n* OPUS readme: kqn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.480" ]	[ 63, 106 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kqn-en\n\n\n* source languages: kqn\n* target languages: en\n* OPUS readme: kqn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-kqn-es * source languages: kqn * target languages: es * OPUS readme: [kqn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kqn.es \| 20.9 \| 0.378 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kqn-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kqn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kqn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kqn-es * source languages: kqn * target languages: es * OPUS readme: kqn-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.9, chr-F: 0.378	[ "### opus-mt-kqn-es\n\n\n* source languages: kqn\n* target languages: es\n* OPUS readme: kqn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.378" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kqn-es\n\n\n* source languages: kqn\n* target languages: es\n* OPUS readme: kqn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.378" ]	[ 63, 105 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kqn-es\n\n\n* source languages: kqn\n* target languages: es\n* OPUS readme: kqn-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.378" ]	[ -0.11036234349012375, 0.13573366403579712, -0.0029956987127661705, 0.05139893293380737, 0.06507627665996552, 0.011499225161969662, 0.04861355200409889, 0.16160520911216736, 0.04230836406350136, -0.025119196623563766, 0.1144605427980423, 0.13060346245765686, 0.03879133239388466, 0.13129757344722748, -0.0638708621263504, -0.1609819233417511, 0.045273374766111374, 0.038303591310977936, -0.07984568178653717, 0.1270940750837326, 0.08730370551347733, -0.02889113686978817, 0.08697500079870224, -0.02101018652319908, -0.012665275484323502, 0.05761733278632164, -0.0031531164422631264, -0.09712667018175125, 0.05081277713179588, 0.07079199701547623, 0.022249583154916763, 0.08738149702548981, -0.03342273086309433, -0.23029503226280212, 0.015628082677721977, -0.0024476763792335987, -0.025314638391137123, -0.0036525276955217123, 0.016482766717672348, -0.04221440851688385, 0.08585470914840698, -0.1052488163113594, 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null	null	transformers	### opus-mt-kqn-fr * source languages: kqn * target languages: fr * OPUS readme: [kqn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kqn.fr \| 23.2 \| 0.400 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kqn-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kqn", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kqn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kqn-fr * source languages: kqn * target languages: fr * OPUS readme: kqn-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.2, chr-F: 0.400	[ "### opus-mt-kqn-fr\n\n\n* source languages: kqn\n* target languages: fr\n* OPUS readme: kqn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.400" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kqn-fr\n\n\n* source languages: kqn\n* target languages: fr\n* OPUS readme: kqn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.400" ]	[ 63, 106 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kqn-fr\n\n\n* source languages: kqn\n* target languages: fr\n* OPUS readme: kqn-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.400" ]	[ -0.1196153536438942, 0.13311249017715454, -0.0028776079416275024, 0.05982636660337448, 0.06370114535093307, 0.0030474215745925903, 0.025441262871026993, 0.15815149247646332, 0.029226910322904587, -0.019673114642500877, 0.11092629283666611, 0.11342956870794296, 0.03708139806985855, 0.1225111335515976, -0.0784139335155487, -0.15044865012168884, 0.039017438888549805, 0.04046221449971199, -0.10308775305747986, 0.12714819610118866, 0.0811002254486084, -0.024532703682780266, 0.09185123443603516, -0.014332576654851437, -0.03286870941519737, 0.05233520269393921, 0.0019367050845175982, -0.0855025053024292, 0.045044902712106705, 0.08175487816333771, 0.016586290672421455, 0.08707334101200104, -0.034107498824596405, -0.22523534297943115, 0.019662240520119667, -0.003424597205594182, -0.02625996246933937, -0.0008264469797722995, 0.027086108922958374, -0.04625455662608147, 0.10988959670066833, -0.09104543179273605, 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null	null	transformers	### opus-mt-kqn-sv * source languages: kqn * target languages: sv * OPUS readme: [kqn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kqn.sv \| 23.3 \| 0.409 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kqn-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kqn", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kqn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kqn-sv * source languages: kqn * target languages: sv * OPUS readme: kqn-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.409	[ "### opus-mt-kqn-sv\n\n\n* source languages: kqn\n* target languages: sv\n* OPUS readme: kqn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.409" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kqn-sv\n\n\n* source languages: kqn\n* target languages: sv\n* OPUS readme: kqn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.409" ]	[ 63, 106 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kqn #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kqn-sv\n\n\n* source languages: kqn\n* target languages: sv\n* OPUS readme: kqn-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-kwn-en * source languages: kwn * target languages: en * OPUS readme: [kwn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwn-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kwn.en \| 27.5 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kwn-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kwn", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kwn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kwn-en * source languages: kwn * target languages: en * OPUS readme: kwn-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.5, chr-F: 0.434	[ "### opus-mt-kwn-en\n\n\n* source languages: kwn\n* target languages: en\n* OPUS readme: kwn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kwn-en\n\n\n* source languages: kwn\n* target languages: en\n* OPUS readme: kwn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.434" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwn #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kwn-en\n\n\n* source languages: kwn\n* target languages: en\n* OPUS readme: kwn-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.434" ]	[ -0.09943097829818726, 0.13113023340702057, -0.0026150341145694256, 0.04044491425156593, 0.035775329917669296, -0.0005384514224715531, 0.04894716665148735, 0.1618937849998474, 0.017325077205896378, -0.003696998581290245, 0.13612517714500427, 0.12240854650735855, 0.026543842628598213, 0.11110564321279526, -0.05156024917960167, -0.15658602118492126, 0.056437186896800995, 0.056500304490327835, -0.02238532155752182, 0.13386885821819305, 0.05837814137339592, -0.040255580097436905, 0.08023356646299362, 0.0038194507360458374, -0.054086774587631226, 0.04236180707812309, -0.025219637900590897, -0.0906883031129837, 0.03454345837235451, 0.0371953509747982, 0.04142461344599724, 0.07303090393543243, -0.04643276706337929, -0.22016635537147522, 0.015602298080921173, -0.004246434662491083, -0.005892433691769838, 0.005234112963080406, 0.02561214566230774, -0.043378010392189026, 0.11913131177425385, -0.10594239085912704, 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null	null	transformers	### opus-mt-kwy-en * source languages: kwy * target languages: en * OPUS readme: [kwy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kwy.en \| 31.6 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kwy-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kwy", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kwy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kwy-en * source languages: kwy * target languages: en * OPUS readme: kwy-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.6, chr-F: 0.466	[ "### opus-mt-kwy-en\n\n\n* source languages: kwy\n* target languages: en\n* OPUS readme: kwy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kwy-en\n\n\n* source languages: kwy\n* target languages: en\n* OPUS readme: kwy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.466" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kwy-en\n\n\n* source languages: kwy\n* target languages: en\n* OPUS readme: kwy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.466" ]	[ -0.10348603129386902, 0.12985949218273163, -0.0029829603154212236, 0.0456620417535305, 0.05349237844347954, -0.0008145488100126386, 0.05349151790142059, 0.17434018850326538, 0.017333457246422768, -0.007775715086609125, 0.13649439811706543, 0.1377435177564621, 0.02267615869641304, 0.11061923205852509, -0.06439924985170364, -0.1496201604604721, 0.0426306277513504, 0.04857049137353897, -0.038303278386592865, 0.14124394953250885, 0.06761246174573898, -0.04187335446476936, 0.08206029236316681, -0.007411810103803873, -0.06035689637064934, 0.057650092989206314, -0.01285792700946331, -0.088626429438591, 0.04324354603886604, 0.04395798221230507, 0.04168727621436119, 0.0781354308128357, -0.045200835913419724, -0.20208923518657684, 0.017069626599550247, 0.005922636482864618, -0.012003487907350063, 0.008511717431247234, 0.026999762281775475, -0.06236589327454567, 0.11289729923009872, -0.11034752428531647, 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null	null	transformers	### opus-mt-kwy-fr * source languages: kwy * target languages: fr * OPUS readme: [kwy-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kwy.fr \| 20.6 \| 0.367 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kwy-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kwy", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kwy #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kwy-fr * source languages: kwy * target languages: fr * OPUS readme: kwy-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.6, chr-F: 0.367	[ "### opus-mt-kwy-fr\n\n\n* source languages: kwy\n* target languages: fr\n* OPUS readme: kwy-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.6, chr-F: 0.367" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kwy-fr\n\n\n* source languages: kwy\n* target languages: fr\n* OPUS readme: kwy-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.6, chr-F: 0.367" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kwy-fr\n\n\n* source languages: kwy\n* target languages: fr\n* OPUS readme: kwy-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-kwy-sv * source languages: kwy * target languages: sv * OPUS readme: [kwy-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.kwy.sv \| 20.2 \| 0.373 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-kwy-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "kwy", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #kwy #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-kwy-sv * source languages: kwy * target languages: sv * OPUS readme: kwy-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.2, chr-F: 0.373	[ "### opus-mt-kwy-sv\n\n\n* source languages: kwy\n* target languages: sv\n* OPUS readme: kwy-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.373" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-kwy-sv\n\n\n* source languages: kwy\n* target languages: sv\n* OPUS readme: kwy-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.373" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #kwy #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-kwy-sv\n\n\n* source languages: kwy\n* target languages: sv\n* OPUS readme: kwy-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.2, chr-F: 0.373" ]	[ -0.10918845236301422, 0.13096952438354492, -0.0029447844717651606, 0.036104634404182434, 0.06263081729412079, -0.0029784305952489376, 0.04911147803068161, 0.1678902953863144, 0.02193790301680565, 0.002649387577548623, 0.14880149066448212, 0.1275971680879593, 0.03268030285835266, 0.12177735567092896, -0.06703504174947739, -0.1443134993314743, 0.052456729114055634, 0.04035664349794388, -0.045784514397382736, 0.13553282618522644, 0.07621999084949493, -0.04781349003314972, 0.08784234523773193, -0.008359825238585472, -0.05372755974531174, 0.05183574557304382, 0.0017034519696608186, -0.08435453474521637, 0.0382767878472805, 0.04493822529911995, 0.028903350234031677, 0.08211249858140945, -0.020502964034676552, -0.19677555561065674, 0.011475317180156708, -0.0005342323565855622, -0.012370811775326729, 0.007035220041871071, 0.03353612869977951, -0.05458661541342735, 0.1178736463189125, -0.1152670755982399, 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null	null	transformers	### opus-mt-lg-en * source languages: lg * target languages: en * OPUS readme: [lg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lg.en \| 32.6 \| 0.480 \| \| Tatoeba.lg.en \| 5.4 \| 0.243 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lg-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lg", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lg-en * source languages: lg * target languages: en * OPUS readme: lg-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.6, chr-F: 0.480 testset: URL, BLEU: 5.4, chr-F: 0.243	[ "### opus-mt-lg-en\n\n\n* source languages: lg\n* target languages: en\n* OPUS readme: lg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.480\ntestset: URL, BLEU: 5.4, chr-F: 0.243" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lg-en\n\n\n* source languages: lg\n* target languages: en\n* OPUS readme: lg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.480\ntestset: URL, BLEU: 5.4, chr-F: 0.243" ]	[ 61, 119 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lg-en\n\n\n* source languages: lg\n* target languages: en\n* OPUS readme: lg-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.480\ntestset: URL, BLEU: 5.4, chr-F: 0.243" ]	[ -0.12983590364456177, 0.12604418396949768, -0.004169452004134655, 0.08580343425273895, 0.062226761132478714, 0.015063696540892124, 0.0639602541923523, 0.1546279788017273, 0.010976037010550499, 0.0009166128002107143, 0.11920084804296494, 0.11826501786708832, -0.0008608682546764612, 0.12153381109237671, -0.06830170750617981, -0.11927752196788788, 0.019258009269833565, 0.056235842406749725, -0.06282415986061096, 0.14748987555503845, 0.08356889337301254, -0.02086072973906994, 0.09728150814771652, -0.03713375702500343, -0.040473051369190216, 0.08145129680633545, 0.023173417896032333, -0.06122012063860893, 0.05602794140577316, 0.056997936218976974, 0.02455803193151951, 0.06296002119779587, -0.021163925528526306, -0.20710588991641998, 0.007583326660096645, -0.0014951538760215044, 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null	null	transformers	### opus-mt-lg-es * source languages: lg * target languages: es * OPUS readme: [lg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lg.es \| 22.1 \| 0.393 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lg-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lg", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lg-es * source languages: lg * target languages: es * OPUS readme: lg-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.1, chr-F: 0.393	[ "### opus-mt-lg-es\n\n\n* source languages: lg\n* target languages: es\n* OPUS readme: lg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.393" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lg-es\n\n\n* source languages: lg\n* target languages: es\n* OPUS readme: lg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.393" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lg-es\n\n\n* source languages: lg\n* target languages: es\n* OPUS readme: lg-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lg-fi * source languages: lg * target languages: fi * OPUS readme: [lg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lg.fi \| 21.8 \| 0.424 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lg-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lg", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lg-fi * source languages: lg * target languages: fi * OPUS readme: lg-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.8, chr-F: 0.424	[ "### opus-mt-lg-fi\n\n\n* source languages: lg\n* target languages: fi\n* OPUS readme: lg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.424" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lg-fi\n\n\n* source languages: lg\n* target languages: fi\n* OPUS readme: lg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.424" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lg-fi\n\n\n* source languages: lg\n* target languages: fi\n* OPUS readme: lg-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lg-fr * source languages: lg * target languages: fr * OPUS readme: [lg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lg.fr \| 23.7 \| 0.406 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lg-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lg", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lg-fr * source languages: lg * target languages: fr * OPUS readme: lg-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.7, chr-F: 0.406	[ "### opus-mt-lg-fr\n\n\n* source languages: lg\n* target languages: fr\n* OPUS readme: lg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.406" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lg-fr\n\n\n* source languages: lg\n* target languages: fr\n* OPUS readme: lg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.406" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lg-fr\n\n\n* source languages: lg\n* target languages: fr\n* OPUS readme: lg-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lg-sv * source languages: lg * target languages: sv * OPUS readme: [lg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lg.sv \| 24.5 \| 0.423 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lg-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lg", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lg-sv * source languages: lg * target languages: sv * OPUS readme: lg-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.5, chr-F: 0.423	[ "### opus-mt-lg-sv\n\n\n* source languages: lg\n* target languages: sv\n* OPUS readme: lg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.5, chr-F: 0.423" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lg-sv\n\n\n* source languages: lg\n* target languages: sv\n* OPUS readme: lg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.5, chr-F: 0.423" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lg #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lg-sv\n\n\n* source languages: lg\n* target languages: sv\n* OPUS readme: lg-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ln-de * source languages: ln * target languages: de * OPUS readme: [ln-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ln.de \| 23.3 \| 0.428 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ln-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ln", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ln #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ln-de * source languages: ln * target languages: de * OPUS readme: ln-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.428	[ "### opus-mt-ln-de\n\n\n* source languages: ln\n* target languages: de\n* OPUS readme: ln-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.428" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ln-de\n\n\n* source languages: ln\n* target languages: de\n* OPUS readme: ln-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.428" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ln-de\n\n\n* source languages: ln\n* target languages: de\n* OPUS readme: ln-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ln-en * source languages: ln * target languages: en * OPUS readme: [ln-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ln.en \| 35.9 \| 0.516 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ln-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ln", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ln #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ln-en * source languages: ln * target languages: en * OPUS readme: ln-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.9, chr-F: 0.516	[ "### opus-mt-ln-en\n\n\n* source languages: ln\n* target languages: en\n* OPUS readme: ln-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.9, chr-F: 0.516" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ln-en\n\n\n* source languages: ln\n* target languages: en\n* OPUS readme: ln-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.9, chr-F: 0.516" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ln-en\n\n\n* source languages: ln\n* target languages: en\n* OPUS readme: ln-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ln-es * source languages: ln * target languages: es * OPUS readme: [ln-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ln.es \| 26.5 \| 0.444 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ln-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ln", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ln #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ln-es * source languages: ln * target languages: es * OPUS readme: ln-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.5, chr-F: 0.444	[ "### opus-mt-ln-es\n\n\n* source languages: ln\n* target languages: es\n* OPUS readme: ln-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.5, chr-F: 0.444" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ln-es\n\n\n* source languages: ln\n* target languages: es\n* OPUS readme: ln-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.5, chr-F: 0.444" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ln-es\n\n\n* source languages: ln\n* target languages: es\n* OPUS readme: ln-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-ln-fr * source languages: ln * target languages: fr * OPUS readme: [ln-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ln.fr \| 28.4 \| 0.456 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ln-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ln", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ln #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ln-fr * source languages: ln * target languages: fr * OPUS readme: ln-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.4, chr-F: 0.456	[ "### opus-mt-ln-fr\n\n\n* source languages: ln\n* target languages: fr\n* OPUS readme: ln-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.456" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ln-fr\n\n\n* source languages: ln\n* target languages: fr\n* OPUS readme: ln-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.456" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ln #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ln-fr\n\n\n* source languages: ln\n* target languages: fr\n* OPUS readme: ln-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-loz-de * source languages: loz * target languages: de * OPUS readme: [loz-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.de \| 24.3 \| 0.438 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-de * source languages: loz * target languages: de * OPUS readme: loz-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.3, chr-F: 0.438	[ "### opus-mt-loz-de\n\n\n* source languages: loz\n* target languages: de\n* OPUS readme: loz-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.438" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-de\n\n\n* source languages: loz\n* target languages: de\n* OPUS readme: loz-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.438" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-de\n\n\n* source languages: loz\n* target languages: de\n* OPUS readme: loz-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-loz-en * source languages: loz * target languages: en * OPUS readme: [loz-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.en \| 42.1 \| 0.565 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-en * source languages: loz * target languages: en * OPUS readme: loz-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 42.1, chr-F: 0.565	[ "### opus-mt-loz-en\n\n\n* source languages: loz\n* target languages: en\n* OPUS readme: loz-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.565" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-en\n\n\n* source languages: loz\n* target languages: en\n* OPUS readme: loz-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.565" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-en\n\n\n* source languages: loz\n* target languages: en\n* OPUS readme: loz-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-loz-es * source languages: loz * target languages: es * OPUS readme: [loz-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.es \| 28.4 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-es * source languages: loz * target languages: es * OPUS readme: loz-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.4, chr-F: 0.464	[ "### opus-mt-loz-es\n\n\n* source languages: loz\n* target languages: es\n* OPUS readme: loz-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-es\n\n\n* source languages: loz\n* target languages: es\n* OPUS readme: loz-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-es\n\n\n* source languages: loz\n* target languages: es\n* OPUS readme: loz-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464" ]	[ -0.1155557706952095, 0.0951056033372879, -0.003552804933860898, 0.08536740392446518, 0.04594070836901665, 0.0035119489766657352, 0.08309510350227356, 0.15827153623104095, 0.04279739782214165, -0.0020271395333111286, 0.12438108026981354, 0.16372139751911163, -0.0009070052183233202, 0.12632130086421967, -0.07381602376699448, -0.1335088312625885, 0.032164521515369415, 0.03223654255270958, -0.02838044986128807, 0.12945035099983215, 0.09048831462860107, -0.017814159393310547, 0.11170060932636261, -0.02409503236413002, -0.01102184783667326, 0.07314812391996384, 0.00025731310597620904, -0.07274580001831055, 0.06673386693000793, 0.07834407687187195, 0.022443460300564766, 0.049292419105768204, -0.004301894456148148, -0.24759818613529205, 0.00978895090520382, 0.008140413090586662, -0.04092496261000633, 0.014336914755403996, 0.05204049125313759, -0.11363724619150162, 0.11179976165294647, -0.11555051803588867, 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null	null	transformers	### opus-mt-loz-fi * source languages: loz * target languages: fi * OPUS readme: [loz-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.fi \| 25.1 \| 0.467 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-fi * source languages: loz * target languages: fi * OPUS readme: loz-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.1, chr-F: 0.467	[ "### opus-mt-loz-fi\n\n\n* source languages: loz\n* target languages: fi\n* OPUS readme: loz-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.467" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-fi\n\n\n* source languages: loz\n* target languages: fi\n* OPUS readme: loz-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.467" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-fi\n\n\n* source languages: loz\n* target languages: fi\n* OPUS readme: loz-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.467" ]	[ -0.12629130482673645, 0.10805127769708633, -0.003584792371839285, 0.08685005456209183, 0.044389426708221436, -0.005449927877634764, 0.077195905148983, 0.1598501205444336, 0.033916350454092026, 0.007113566156476736, 0.1135142371058464, 0.14787787199020386, 0.015106339007616043, 0.13829739391803741, -0.08888578414916992, -0.11736496537923813, 0.03485849127173424, 0.03474543243646622, -0.042527906596660614, 0.1310802698135376, 0.08838297426700592, -0.01301766000688076, 0.11207578331232071, -0.02103317156434059, -0.04408195614814758, 0.06435488164424896, 0.00786867830902338, -0.06401782482862473, 0.06354279816150665, 0.09313218295574188, 0.02415553294122219, 0.0383712537586689, -0.01683885045349598, -0.2427736073732376, 0.01450412254780531, 0.016283664852380753, -0.032881494611501694, 0.01731521263718605, 0.0643608495593071, -0.09799536317586899, 0.11917822062969208, -0.07800415903329849, 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null	null	transformers	### opus-mt-loz-fr * source languages: loz * target languages: fr * OPUS readme: [loz-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.fr \| 28.5 \| 0.462 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-fr * source languages: loz * target languages: fr * OPUS readme: loz-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.5, chr-F: 0.462	[ "### opus-mt-loz-fr\n\n\n* source languages: loz\n* target languages: fr\n* OPUS readme: loz-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.5, chr-F: 0.462" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-fr\n\n\n* source languages: loz\n* target languages: fr\n* OPUS readme: loz-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.5, chr-F: 0.462" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-fr\n\n\n* source languages: loz\n* target languages: fr\n* OPUS readme: loz-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.5, chr-F: 0.462" ]	[ -0.12198317050933838, 0.0960686057806015, -0.0035240717697888613, 0.09254140406847, 0.04739774763584137, -0.005693924613296986, 0.06115369498729706, 0.15615595877170563, 0.03310908004641533, 0.0045877983793616295, 0.12020733207464218, 0.14801599085330963, 0.000747940968722105, 0.11789122968912125, -0.08798661828041077, -0.1264728158712387, 0.029081640765070915, 0.03625435009598732, -0.05413265898823738, 0.13114440441131592, 0.08610937744379044, -0.01608249358832836, 0.11398225277662277, -0.0165476705878973, -0.03456864878535271, 0.06876274198293686, 0.005019137170165777, -0.06417763233184814, 0.06041842699050903, 0.08613847196102142, 0.01704038307070732, 0.0485808290541172, -0.009883936494588852, -0.23861435055732727, 0.01480824314057827, 0.011354921385645866, -0.040451254695653915, 0.01747450791299343, 0.05864967778325081, -0.11169596016407013, 0.1357174962759018, -0.09381719678640366, 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null	null	transformers	### opus-mt-loz-sv * source languages: loz * target languages: sv * OPUS readme: [loz-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.loz.sv \| 30.0 \| 0.477 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-loz-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "loz", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #loz #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-loz-sv * source languages: loz * target languages: sv * OPUS readme: loz-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.0, chr-F: 0.477	[ "### opus-mt-loz-sv\n\n\n* source languages: loz\n* target languages: sv\n* OPUS readme: loz-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.477" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-loz-sv\n\n\n* source languages: loz\n* target languages: sv\n* OPUS readme: loz-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.477" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #loz #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-loz-sv\n\n\n* source languages: loz\n* target languages: sv\n* OPUS readme: loz-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.477" ]	[ -0.12371160089969635, 0.10681218653917313, -0.0031778847333043814, 0.07391431927680969, 0.05697080120444298, -0.00586147652938962, 0.06474052369594574, 0.15655697882175446, 0.02351471036672592, 0.0063049159944057465, 0.13494355976581573, 0.1514582484960556, 0.008101877756416798, 0.12071096897125244, -0.08340317755937576, -0.12737560272216797, 0.03858967497944832, 0.0283063817769289, -0.044127609580755234, 0.12765951454639435, 0.08909682184457779, -0.02903909794986248, 0.11013995856046677, -0.019900556653738022, -0.017467599362134933, 0.062296219170093536, 0.01636626198887825, -0.0665113776922226, 0.054443564265966415, 0.07579293102025986, 0.01090073399245739, 0.05588262155652046, 0.011503521353006363, -0.22891148924827576, 0.010184729471802711, 0.007777121849358082, -0.033082738518714905, 0.01543162576854229, 0.056107617914676666, -0.09821837395429611, 0.11341437697410583, -0.11585569381713867, 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null	null	transformers	### opus-mt-lt-de * source languages: lt * target languages: de * OPUS readme: [lt-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.lt.de \| 45.2 \| 0.640 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lt-de * source languages: lt * target languages: de * OPUS readme: lt-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.2, chr-F: 0.640	[ "### opus-mt-lt-de\n\n\n* source languages: lt\n* target languages: de\n* OPUS readme: lt-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.2, chr-F: 0.640" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lt-de\n\n\n* source languages: lt\n* target languages: de\n* OPUS readme: lt-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.2, chr-F: 0.640" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lt-de\n\n\n* source languages: lt\n* target languages: de\n* OPUS readme: lt-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### lit-epo * source group: Lithuanian * target group: Esperanto * OPUS readme: [lit-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md) * model: transformer-align * source language(s): lit * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.epo \| 13.0 \| 0.313 \| ### System Info: - hf_name: lit-epo - source_languages: lit - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'eo'] - src_constituents: {'lit'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt - src_alpha3: lit - tgt_alpha3: epo - short_pair: lt-eo - chrF2_score: 0.313 - bleu: 13.0 - brevity_penalty: 1.0 - ref_len: 70340.0 - src_name: Lithuanian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: lt - tgt_alpha2: eo - prefer_old: False - long_pair: lit-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "eo"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-epo * source group: Lithuanian * target group: Esperanto * OPUS readme: lit-epo * model: transformer-align * source language(s): lit * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 13.0, chr-F: 0.313 ### System Info: * hf\_name: lit-epo * source\_languages: lit * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'eo'] * src\_constituents: {'lit'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: epo * short\_pair: lt-eo * chrF2\_score: 0.313 * bleu: 13.0 * brevity\_penalty: 1.0 * ref\_len: 70340.0 * src\_name: Lithuanian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: lt * tgt\_alpha2: eo * prefer\_old: False * long\_pair: lit-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-epo\n\n\n* source group: Lithuanian\n* target group: Esperanto\n* OPUS readme: lit-epo\n* model: transformer-align\n* source language(s): lit\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 13.0, chr-F: 0.313", "### System Info:\n\n\n* hf\\_name: lit-epo\n* source\\_languages: lit\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'eo']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: epo\n* short\\_pair: lt-eo\n* chrF2\\_score: 0.313\n* bleu: 13.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 70340.0\n* src\\_name: Lithuanian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: lt\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: lit-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-epo\n\n\n* source group: Lithuanian\n* target group: Esperanto\n* OPUS readme: lit-epo\n* model: transformer-align\n* source language(s): lit\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 13.0, chr-F: 0.313", "### System Info:\n\n\n* hf\\_name: lit-epo\n* source\\_languages: lit\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'eo']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: epo\n* short\\_pair: lt-eo\n* chrF2\\_score: 0.313\n* bleu: 13.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 70340.0\n* src\\_name: Lithuanian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: lt\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: lit-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 393 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-epo\n\n\n* source group: Lithuanian\n* target group: Esperanto\n* OPUS readme: lit-epo\n* model: transformer-align\n* source language(s): lit\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 13.0, chr-F: 0.313" ]	[ -0.10078738629817963, 0.06175241246819496, -0.004898400511592627, 0.052851706743240356, 0.0998220220208168, 0.026933487504720688, 0.10017495602369308, 0.13537457585334778, 0.018727120012044907, 0.012319504283368587, 0.11378812789916992, 0.1213432103395462, 0.023935480043292046, 0.14320984482765198, -0.04045499116182327, -0.20469020307064056, 0.060905929654836655, 0.07082793116569519, -0.08449236303567886, 0.10258136689662933, 0.1120707094669342, -0.029030784964561462, 0.10440125316381454, 0.0027946634218096733, -0.017811523750424385, 0.114556223154068, -0.04294297471642494, 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null	null	transformers	### lit-spa * source group: Lithuanian * target group: Spanish * OPUS readme: [lit-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md) * model: transformer-align * source language(s): lit * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.spa \| 50.5 \| 0.680 \| ### System Info: - hf_name: lit-spa - source_languages: lit - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'es'] - src_constituents: {'lit'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: spa - short_pair: lt-es - chrF2_score: 0.68 - bleu: 50.5 - brevity_penalty: 0.963 - ref_len: 2738.0 - src_name: Lithuanian - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: es - prefer_old: False - long_pair: lit-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "es"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-spa * source group: Lithuanian * target group: Spanish * OPUS readme: lit-spa * model: transformer-align * source language(s): lit * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.5, chr-F: 0.680 ### System Info: * hf\_name: lit-spa * source\_languages: lit * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'es'] * src\_constituents: {'lit'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: spa * short\_pair: lt-es * chrF2\_score: 0.68 * bleu: 50.5 * brevity\_penalty: 0.963 * ref\_len: 2738.0 * src\_name: Lithuanian * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: lt * tgt\_alpha2: es * prefer\_old: False * long\_pair: lit-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-spa\n\n\n* source group: Lithuanian\n* target group: Spanish\n* OPUS readme: lit-spa\n* model: transformer-align\n* source language(s): lit\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.5, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: lit-spa\n* source\\_languages: lit\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'es']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: spa\n* short\\_pair: lt-es\n* chrF2\\_score: 0.68\n* bleu: 50.5\n* brevity\\_penalty: 0.963\n* ref\\_len: 2738.0\n* src\\_name: Lithuanian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: lit-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-spa\n\n\n* source group: Lithuanian\n* target group: Spanish\n* OPUS readme: lit-spa\n* model: transformer-align\n* source language(s): lit\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.5, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: lit-spa\n* source\\_languages: lit\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'es']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: spa\n* short\\_pair: lt-es\n* chrF2\\_score: 0.68\n* bleu: 50.5\n* brevity\\_penalty: 0.963\n* ref\\_len: 2738.0\n* src\\_name: Lithuanian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: lit-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 121, 392 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-spa\n\n\n* source group: Lithuanian\n* target group: Spanish\n* OPUS readme: lit-spa\n* model: transformer-align\n* source language(s): lit\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.5, chr-F: 0.680" ]	[ -0.11574392765760422, 0.050630129873752594, -0.00382452760823071, 0.06692208349704742, 0.10477211326360703, 0.021804211661219597, 0.08777594566345215, 0.1333361268043518, -0.00844482984393835, 0.018372241407632828, 0.0945722907781601, 0.10416898131370544, 0.006026837043464184, 0.11920829117298126, -0.03249888867139816, -0.1671678125858307, 0.06959652900695801, 0.03366561606526375, -0.0934808999300003, 0.1244526207447052, 0.07969460636377335, -0.020800767466425896, 0.10319775342941284, -0.03655066341161728, -0.05854520574212074, 0.09142018109560013, 0.013491830788552761, -0.08329235762357712, 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null	null	transformers	### opus-mt-lt-fr * source languages: lt * target languages: fr * OPUS readme: [lt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lt.fr \| 22.0 \| 0.428 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lt-fr * source languages: lt * target languages: fr * OPUS readme: lt-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.0, chr-F: 0.428	[ "### opus-mt-lt-fr\n\n\n* source languages: lt\n* target languages: fr\n* OPUS readme: lt-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.428" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lt-fr\n\n\n* source languages: lt\n* target languages: fr\n* OPUS readme: lt-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.0, chr-F: 0.428" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lt-fr\n\n\n* source languages: lt\n* target languages: fr\n* OPUS readme: lt-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### lit-ita * source group: Lithuanian * target group: Italian * OPUS readme: [lit-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md) * model: transformer-align * source language(s): lit * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.ita \| 42.2 \| 0.657 \| ### System Info: - hf_name: lit-ita - source_languages: lit - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'it'] - src_constituents: {'lit'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: ita - short_pair: lt-it - chrF2_score: 0.657 - bleu: 42.2 - brevity_penalty: 0.9740000000000001 - ref_len: 1505.0 - src_name: Lithuanian - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: it - prefer_old: False - long_pair: lit-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "it"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-it	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-ita * source group: Lithuanian * target group: Italian * OPUS readme: lit-ita * model: transformer-align * source language(s): lit * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 42.2, chr-F: 0.657 ### System Info: * hf\_name: lit-ita * source\_languages: lit * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'it'] * src\_constituents: {'lit'} * tgt\_constituents: {'ita'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: ita * short\_pair: lt-it * chrF2\_score: 0.657 * bleu: 42.2 * brevity\_penalty: 0.9740000000000001 * ref\_len: 1505.0 * src\_name: Lithuanian * tgt\_name: Italian * train\_date: 2020-06-17 * src\_alpha2: lt * tgt\_alpha2: it * prefer\_old: False * long\_pair: lit-ita * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-ita\n\n\n* source group: Lithuanian\n* target group: Italian\n* OPUS readme: lit-ita\n* model: transformer-align\n* source language(s): lit\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: lit-ita\n* source\\_languages: lit\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'it']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: ita\n* short\\_pair: lt-it\n* chrF2\\_score: 0.657\n* bleu: 42.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 1505.0\n* src\\_name: Lithuanian\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: lit-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-ita\n\n\n* source group: Lithuanian\n* target group: Italian\n* OPUS readme: lit-ita\n* model: transformer-align\n* source language(s): lit\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: lit-ita\n* source\\_languages: lit\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'it']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: ita\n* short\\_pair: lt-it\n* chrF2\\_score: 0.657\n* bleu: 42.2\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 1505.0\n* src\\_name: Lithuanian\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: lit-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 121, 393 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-ita\n\n\n* source group: Lithuanian\n* target group: Italian\n* OPUS readme: lit-ita\n* model: transformer-align\n* source language(s): lit\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.2, chr-F: 0.657" ]	[ -0.11047771573066711, 0.031063053756952286, -0.0034962764475494623, 0.0680631548166275, 0.05881524831056595, 0.057142846286296844, 0.12250714004039764, 0.1518861949443817, 0.027278151363134384, -0.005388134159147739, 0.07683336734771729, 0.07828769087791443, 0.028406573459506035, 0.10377537459135056, -0.02815355733036995, -0.15532907843589783, 0.06071332097053528, 0.048303961753845215, -0.10219508409500122, 0.1310514360666275, 0.08365010470151901, 0.004860120825469494, 0.09289269894361496, -0.05781538784503937, -0.031116757541894913, 0.09873531758785248, 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null	null	transformers	### lit-pol * source group: Lithuanian * target group: Polish * OPUS readme: [lit-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md) * model: transformer-align * source language(s): lit * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.pol \| 53.6 \| 0.721 \| ### System Info: - hf_name: lit-pol - source_languages: lit - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'pl'] - src_constituents: {'lit'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: pol - short_pair: lt-pl - chrF2_score: 0.721 - bleu: 53.6 - brevity_penalty: 0.9570000000000001 - ref_len: 10629.0 - src_name: Lithuanian - tgt_name: Polish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: pl - prefer_old: False - long_pair: lit-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "pl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-pl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "pl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-pol * source group: Lithuanian * target group: Polish * OPUS readme: lit-pol * model: transformer-align * source language(s): lit * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 53.6, chr-F: 0.721 ### System Info: * hf\_name: lit-pol * source\_languages: lit * target\_languages: pol * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'pl'] * src\_constituents: {'lit'} * tgt\_constituents: {'pol'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: pol * short\_pair: lt-pl * chrF2\_score: 0.721 * bleu: 53.6 * brevity\_penalty: 0.9570000000000001 * ref\_len: 10629.0 * src\_name: Lithuanian * tgt\_name: Polish * train\_date: 2020-06-17 * src\_alpha2: lt * tgt\_alpha2: pl * prefer\_old: False * long\_pair: lit-pol * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-pol\n\n\n* source group: Lithuanian\n* target group: Polish\n* OPUS readme: lit-pol\n* model: transformer-align\n* source language(s): lit\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.6, chr-F: 0.721", "### System Info:\n\n\n* hf\\_name: lit-pol\n* source\\_languages: lit\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'pl']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'pol'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: pol\n* short\\_pair: lt-pl\n* chrF2\\_score: 0.721\n* bleu: 53.6\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 10629.0\n* src\\_name: Lithuanian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: lit-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-pol\n\n\n* source group: Lithuanian\n* target group: Polish\n* OPUS readme: lit-pol\n* model: transformer-align\n* source language(s): lit\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.6, chr-F: 0.721", "### System Info:\n\n\n* hf\\_name: lit-pol\n* source\\_languages: lit\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'pl']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'pol'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: pol\n* short\\_pair: lt-pl\n* chrF2\\_score: 0.721\n* bleu: 53.6\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 10629.0\n* src\\_name: Lithuanian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: lit-pol\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 122, 396 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-pol\n\n\n* source group: Lithuanian\n* target group: Polish\n* OPUS readme: lit-pol\n* model: transformer-align\n* source language(s): lit\n* target language(s): pol\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.6, chr-F: 0.721" ]	[ -0.12450724840164185, 0.04213540256023407, -0.002936983248218894, 0.053262852132320404, 0.08660810440778732, 0.03166508674621582, 0.12650741636753082, 0.1337043195962906, 0.024581119418144226, 0.023838086053729057, 0.11091199517250061, 0.10743770748376846, 0.020123504102230072, 0.1187443882226944, -0.011889038607478142, -0.1973222941160202, 0.09226661175489426, 0.06147604435682297, -0.10254906117916107, 0.12893536686897278, 0.08777888864278793, -0.023589154705405235, 0.09610766917467117, -0.023637045174837112, -0.03712905943393707, 0.0807913988828659, 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null	null	transformers	### lit-rus * source group: Lithuanian * target group: Russian * OPUS readme: [lit-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md) * model: transformer-align * source language(s): lit * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.rus \| 51.7 \| 0.695 \| ### System Info: - hf_name: lit-rus - source_languages: lit - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'ru'] - src_constituents: {'lit'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: rus - short_pair: lt-ru - chrF2_score: 0.695 - bleu: 51.7 - brevity_penalty: 0.982 - ref_len: 15395.0 - src_name: Lithuanian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: ru - prefer_old: False - long_pair: lit-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-rus * source group: Lithuanian * target group: Russian * OPUS readme: lit-rus * model: transformer-align * source language(s): lit * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.7, chr-F: 0.695 ### System Info: * hf\_name: lit-rus * source\_languages: lit * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'ru'] * src\_constituents: {'lit'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: rus * short\_pair: lt-ru * chrF2\_score: 0.695 * bleu: 51.7 * brevity\_penalty: 0.982 * ref\_len: 15395.0 * src\_name: Lithuanian * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: lt * tgt\_alpha2: ru * prefer\_old: False * long\_pair: lit-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-rus\n\n\n* source group: Lithuanian\n* target group: Russian\n* OPUS readme: lit-rus\n* model: transformer-align\n* source language(s): lit\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.7, chr-F: 0.695", "### System Info:\n\n\n* hf\\_name: lit-rus\n* source\\_languages: lit\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'ru']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: rus\n* short\\_pair: lt-ru\n* chrF2\\_score: 0.695\n* bleu: 51.7\n* brevity\\_penalty: 0.982\n* ref\\_len: 15395.0\n* src\\_name: Lithuanian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lit-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-rus\n\n\n* source group: Lithuanian\n* target group: Russian\n* OPUS readme: lit-rus\n* model: transformer-align\n* source language(s): lit\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.7, chr-F: 0.695", "### System Info:\n\n\n* hf\\_name: lit-rus\n* source\\_languages: lit\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'ru']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: rus\n* short\\_pair: lt-ru\n* chrF2\\_score: 0.695\n* bleu: 51.7\n* brevity\\_penalty: 0.982\n* ref\\_len: 15395.0\n* src\\_name: Lithuanian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lit-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 121, 391 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-rus\n\n\n* source group: Lithuanian\n* target group: Russian\n* OPUS readme: lit-rus\n* model: transformer-align\n* source language(s): lit\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.7, chr-F: 0.695" ]	[ -0.09924673289060593, 0.026632554829120636, -0.003580559976398945, 0.051737476140260696, 0.1077428087592125, 0.028023282065987587, 0.12998349964618683, 0.11747848242521286, 0.027263905853033066, 0.005143413785845041, 0.11099027097225189, 0.053200993686914444, 0.0030353222973644733, 0.12455356866121292, -0.010113110765814781, -0.1691712886095047, 0.0716552659869194, 0.02567874826490879, -0.10671526193618774, 0.12108781933784485, 0.09467937797307968, -0.02430715598165989, 0.09186980873346329, -0.0424785390496254, -0.036756571382284164, 0.10439745336771011, 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null	null	transformers	### opus-mt-lt-sv * source languages: lt * target languages: sv * OPUS readme: [lt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lt.sv \| 22.9 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lt-sv * source languages: lt * target languages: sv * OPUS readme: lt-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.9, chr-F: 0.447	[ "### opus-mt-lt-sv\n\n\n* source languages: lt\n* target languages: sv\n* OPUS readme: lt-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.9, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lt-sv\n\n\n* source languages: lt\n* target languages: sv\n* OPUS readme: lt-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.9, chr-F: 0.447" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lt-sv\n\n\n* source languages: lt\n* target languages: sv\n* OPUS readme: lt-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### lit-tur * source group: Lithuanian * target group: Turkish * OPUS readme: [lit-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md) * model: transformer-align * source language(s): lit * target language(s): tur * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lit.tur \| 35.8 \| 0.648 \| ### System Info: - hf_name: lit-tur - source_languages: lit - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'tr'] - src_constituents: {'lit'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: tur - short_pair: lt-tr - chrF2_score: 0.648 - bleu: 35.8 - brevity_penalty: 0.927 - ref_len: 7700.0 - src_name: Lithuanian - tgt_name: Turkish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: tr - prefer_old: False - long_pair: lit-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lt", "tr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lt-tr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lt", "tr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lt", "tr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lt #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lit-tur * source group: Lithuanian * target group: Turkish * OPUS readme: lit-tur * model: transformer-align * source language(s): lit * target language(s): tur * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.8, chr-F: 0.648 ### System Info: * hf\_name: lit-tur * source\_languages: lit * target\_languages: tur * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lt', 'tr'] * src\_constituents: {'lit'} * tgt\_constituents: {'tur'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lit * tgt\_alpha3: tur * short\_pair: lt-tr * chrF2\_score: 0.648 * bleu: 35.8 * brevity\_penalty: 0.927 * ref\_len: 7700.0 * src\_name: Lithuanian * tgt\_name: Turkish * train\_date: 2020-06-17 * src\_alpha2: lt * tgt\_alpha2: tr * prefer\_old: False * long\_pair: lit-tur * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lit-tur\n\n\n* source group: Lithuanian\n* target group: Turkish\n* OPUS readme: lit-tur\n* model: transformer-align\n* source language(s): lit\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.8, chr-F: 0.648", "### System Info:\n\n\n* hf\\_name: lit-tur\n* source\\_languages: lit\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'tr']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'tur'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: tur\n* short\\_pair: lt-tr\n* chrF2\\_score: 0.648\n* bleu: 35.8\n* brevity\\_penalty: 0.927\n* ref\\_len: 7700.0\n* src\\_name: Lithuanian\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: lit-tur\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lit-tur\n\n\n* source group: Lithuanian\n* target group: Turkish\n* OPUS readme: lit-tur\n* model: transformer-align\n* source language(s): lit\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.8, chr-F: 0.648", "### System Info:\n\n\n* hf\\_name: lit-tur\n* source\\_languages: lit\n* target\\_languages: tur\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lt', 'tr']\n* src\\_constituents: {'lit'}\n* tgt\\_constituents: {'tur'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: lit\n* tgt\\_alpha3: tur\n* short\\_pair: lt-tr\n* chrF2\\_score: 0.648\n* bleu: 35.8\n* brevity\\_penalty: 0.927\n* ref\\_len: 7700.0\n* src\\_name: Lithuanian\n* tgt\\_name: Turkish\n* train\\_date: 2020-06-17\n* src\\_alpha2: lt\n* tgt\\_alpha2: tr\n* prefer\\_old: False\n* long\\_pair: lit-tur\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 122, 392 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lt #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lit-tur\n\n\n* source group: Lithuanian\n* target group: Turkish\n* OPUS readme: lit-tur\n* model: transformer-align\n* source language(s): lit\n* target language(s): tur\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.8, chr-F: 0.648" ]	[ -0.09435764700174332, 0.005860466510057449, -0.002963022096082568, 0.06219598650932312, 0.10704585909843445, 0.03958185762166977, 0.12570664286613464, 0.1247016191482544, 0.012274179607629776, 0.0009687989368103445, 0.08812761306762695, 0.07950545102357864, 0.026325276121497154, 0.10318689793348312, -0.027967430651187897, -0.17642195522785187, 0.051071472465991974, 0.02507508173584938, -0.08453934639692307, 0.13585640490055084, 0.07380474358797073, -0.008945447392761707, 0.10241109877824783, -0.05017879232764244, -0.07076623290777206, 0.09206368774175644, 0.014675258658826351, 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null	null	transformers	### opus-mt-lu-en * source languages: lu * target languages: en * OPUS readme: [lu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lu.en \| 35.7 \| 0.517 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lu-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lu", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lu-en * source languages: lu * target languages: en * OPUS readme: lu-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.7, chr-F: 0.517	[ "### opus-mt-lu-en\n\n\n* source languages: lu\n* target languages: en\n* OPUS readme: lu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.7, chr-F: 0.517" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lu-en\n\n\n* source languages: lu\n* target languages: en\n* OPUS readme: lu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.7, chr-F: 0.517" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lu-en\n\n\n* source languages: lu\n* target languages: en\n* OPUS readme: lu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lu-es * source languages: lu * target languages: es * OPUS readme: [lu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lu.es \| 22.4 \| 0.400 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lu-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lu", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lu-es * source languages: lu * target languages: es * OPUS readme: lu-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.4, chr-F: 0.400	[ "### opus-mt-lu-es\n\n\n* source languages: lu\n* target languages: es\n* OPUS readme: lu-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.400" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lu-es\n\n\n* source languages: lu\n* target languages: es\n* OPUS readme: lu-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.400" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lu-es\n\n\n* source languages: lu\n* target languages: es\n* OPUS readme: lu-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lu-fi * source languages: lu * target languages: fi * OPUS readme: [lu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lu.fi \| 21.4 \| 0.442 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lu-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lu", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lu-fi * source languages: lu * target languages: fi * OPUS readme: lu-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.4, chr-F: 0.442	[ "### opus-mt-lu-fi\n\n\n* source languages: lu\n* target languages: fi\n* OPUS readme: lu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.442" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lu-fi\n\n\n* source languages: lu\n* target languages: fi\n* OPUS readme: lu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.442" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lu-fi\n\n\n* source languages: lu\n* target languages: fi\n* OPUS readme: lu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lu-fr * source languages: lu * target languages: fr * OPUS readme: [lu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lu.fr \| 26.4 \| 0.431 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lu-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lu", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lu-fr * source languages: lu * target languages: fr * OPUS readme: lu-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.4, chr-F: 0.431	[ "### opus-mt-lu-fr\n\n\n* source languages: lu\n* target languages: fr\n* OPUS readme: lu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.431" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lu-fr\n\n\n* source languages: lu\n* target languages: fr\n* OPUS readme: lu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.431" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lu-fr\n\n\n* source languages: lu\n* target languages: fr\n* OPUS readme: lu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lu-sv * source languages: lu * target languages: sv * OPUS readme: [lu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lu.sv \| 25.4 \| 0.435 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lu-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lu", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lu-sv * source languages: lu * target languages: sv * OPUS readme: lu-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.4, chr-F: 0.435	[ "### opus-mt-lu-sv\n\n\n* source languages: lu\n* target languages: sv\n* OPUS readme: lu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.435" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lu-sv\n\n\n* source languages: lu\n* target languages: sv\n* OPUS readme: lu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.435" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lu-sv\n\n\n* source languages: lu\n* target languages: sv\n* OPUS readme: lu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, 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null	null	transformers	### opus-mt-lua-en * source languages: lua * target languages: en * OPUS readme: [lua-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lua.en \| 34.4 \| 0.502 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lua-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lua", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lua #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lua-en * source languages: lua * target languages: en * OPUS readme: lua-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.4, chr-F: 0.502	[ "### opus-mt-lua-en\n\n\n* source languages: lua\n* target languages: en\n* OPUS readme: lua-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.4, chr-F: 0.502" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lua-en\n\n\n* source languages: lua\n* target languages: en\n* OPUS readme: lua-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.4, chr-F: 0.502" ]	[ 62, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lua-en\n\n\n* source languages: lua\n* target languages: en\n* OPUS readme: lua-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.4, chr-F: 0.502" ]	[ -0.09771884977817535, 0.12316104024648666, -0.004904914181679487, 0.10943997651338577, 0.08361808955669403, 0.00327563495375216, 0.06434651464223862, 0.1348838061094284, -0.04904736205935478, -0.013293148949742317, 0.09622890502214432, 0.13871051371097565, 0.017027325928211212, 0.0876818597316742, -0.06819245219230652, -0.17183054983615875, 0.02798054926097393, 0.016488894820213318, -0.05285598710179329, 0.10897738486528397, 0.08172045648097992, 0.01293361745774746, 0.11486306041479111, -0.03757684305310249, 0.013644533231854439, 0.0857456848025322, -0.01117035187780857, -0.049316395074129105, 0.04982399195432663, 0.08067118376493454, 0.03725496679544449, 0.05353438854217529, -0.0006993250572122633, -0.2339044064283371, 0.012589732185006142, -0.020602786913514137, -0.033732879906892776, -0.0018312097527086735, 0.036332350224256516, -0.11323662102222443, 0.1229550912976265, -0.06380458921194077, 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null	null	transformers	### opus-mt-lua-es * source languages: lua * target languages: es * OPUS readme: [lua-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lua.es \| 23.1 \| 0.409 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lua-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lua", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lua #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lua-es * source languages: lua * target languages: es * OPUS readme: lua-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.1, chr-F: 0.409	[ "### opus-mt-lua-es\n\n\n* source languages: lua\n* target languages: es\n* OPUS readme: lua-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.409" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lua-es\n\n\n* source languages: lua\n* target languages: es\n* OPUS readme: lua-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.409" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lua-es\n\n\n* source languages: lua\n* target languages: es\n* OPUS readme: lua-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-lua-fi * source languages: lua * target languages: fi * OPUS readme: [lua-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lua.fi \| 23.5 \| 0.450 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lua-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lua", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lua #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lua-fi * source languages: lua * target languages: fi * OPUS readme: lua-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.5, chr-F: 0.450	[ "### opus-mt-lua-fi\n\n\n* source languages: lua\n* target languages: fi\n* OPUS readme: lua-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.450" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lua-fi\n\n\n* source languages: lua\n* target languages: fi\n* OPUS readme: lua-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.450" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lua-fi\n\n\n* source languages: lua\n* target languages: fi\n* OPUS readme: lua-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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null	null	transformers	### opus-mt-lua-fr * source languages: lua * target languages: fr * OPUS readme: [lua-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lua.fr \| 25.7 \| 0.429 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lua-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lua", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lua #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lua-fr * source languages: lua * target languages: fr * OPUS readme: lua-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.7, chr-F: 0.429	[ "### opus-mt-lua-fr\n\n\n* source languages: lua\n* target languages: fr\n* OPUS readme: lua-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.429" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lua-fr\n\n\n* source languages: lua\n* target languages: fr\n* OPUS readme: lua-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.429" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lua-fr\n\n\n* source languages: lua\n* target languages: fr\n* OPUS readme: lua-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.429" ]	[ -0.1052548959851265, 0.10887489467859268, -0.004690462723374367, 0.11238456517457962, 0.07961077988147736, 0.0004198353854008019, 0.05311594158411026, 0.13179554045200348, -0.033537302166223526, -0.0041670831851661205, 0.09791133552789688, 0.12460234761238098, 0.020593002438545227, 0.0963299348950386, -0.07852107286453247, -0.16441947221755981, 0.03022480383515358, 0.021975988522171974, -0.07301490008831024, 0.10855745524168015, 0.08400090038776398, 0.014439277350902557, 0.11936646699905396, -0.03114553540945053, -0.00708948727697134, 0.08284393697977066, -0.007744230329990387, -0.04323238506913185, 0.04982547461986542, 0.09348756074905396, 0.03273901715874672, 0.054418228566646576, -0.004078379832208157, -0.23067182302474976, 0.014092041179537773, -0.020767226815223694, -0.03837781399488449, 0.000824387650936842, 0.0423603430390358, -0.10917483270168304, 0.1479661613702774, -0.046410467475652695, 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null	null	transformers	### opus-mt-lua-sv * source languages: lua * target languages: sv * OPUS readme: [lua-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lua.sv \| 25.7 \| 0.437 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lua-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lua", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lua #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lua-sv * source languages: lua * target languages: sv * OPUS readme: lua-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.7, chr-F: 0.437	[ "### opus-mt-lua-sv\n\n\n* source languages: lua\n* target languages: sv\n* OPUS readme: lua-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.437" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lua-sv\n\n\n* source languages: lua\n* target languages: sv\n* OPUS readme: lua-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.437" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lua #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lua-sv\n\n\n* source languages: lua\n* target languages: sv\n* OPUS readme: lua-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.437" ]	[ -0.10406635701656342, 0.10992185771465302, -0.004422712605446577, 0.09414082020521164, 0.09442528337240219, 0.0017808047123253345, 0.055097632110118866, 0.1327393352985382, -0.04139325022697449, -0.0024893570225685835, 0.11038898676633835, 0.1297157108783722, 0.024243254214525223, 0.09930668771266937, -0.07114512473344803, -0.16363783180713654, 0.040473051369190216, 0.01510479487478733, -0.0627974346280098, 0.10316164791584015, 0.08669883757829666, 0.0027012706268578768, 0.11312619596719742, -0.03668048605322838, 0.01598130725324154, 0.07540740072727203, 0.0056149098090827465, -0.042771562933921814, 0.04400048777461052, 0.08300065249204636, 0.025369135662913322, 0.06157905235886574, 0.017342109233140945, -0.22429801523685455, 0.00982990674674511, -0.027024375274777412, -0.031992729753255844, -0.003326818346977234, 0.04118640720844269, -0.09670981764793396, 0.12131281942129135, -0.07270637899637222, 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null	null	transformers	### opus-mt-lue-en * source languages: lue * target languages: en * OPUS readme: [lue-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lue.en \| 31.7 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lue-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lue", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lue #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lue-en * source languages: lue * target languages: en * OPUS readme: lue-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.7, chr-F: 0.469	[ "### opus-mt-lue-en\n\n\n* source languages: lue\n* target languages: en\n* OPUS readme: lue-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lue-en\n\n\n* source languages: lue\n* target languages: en\n* OPUS readme: lue-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.469" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lue-en\n\n\n* source languages: lue\n* target languages: en\n* OPUS readme: lue-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.7, chr-F: 0.469" ]	[ -0.10029919445514679, 0.1309719979763031, -0.004577588755637407, 0.10873167216777802, 0.06674887239933014, 0.0016183130210265517, 0.06886634230613708, 0.14329729974269867, -0.030108081176877022, -0.014684909954667091, 0.1054815724492073, 0.14377088844776154, 0.0017340441700071096, 0.10204422473907471, -0.06819398701190948, -0.1592053771018982, 0.04406875744462013, 0.03126659616827965, -0.06306126713752747, 0.11725971847772598, 0.0907062441110611, 0.003064237767830491, 0.10982680320739746, -0.032025113701820374, -0.0072295707650482655, 0.0900508388876915, -0.00684085488319397, -0.04066302999854088, 0.057868316769599915, 0.0675148218870163, 0.02721741981804371, 0.058872438967227936, -0.0053925663232803345, -0.2297126203775406, 0.013788127340376377, -0.00861529354006052, -0.04323853552341461, 0.000994581845588982, 0.03055380843579769, -0.11789758503437042, 0.10785705596208572, -0.07269325107336044, 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null	null	transformers	### opus-mt-lue-es * source languages: lue * target languages: es * OPUS readme: [lue-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lue.es \| 22.8 \| 0.399 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lue-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lue", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lue #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lue-es * source languages: lue * target languages: es * OPUS readme: lue-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.8, chr-F: 0.399	[ "### opus-mt-lue-es\n\n\n* source languages: lue\n* target languages: es\n* OPUS readme: lue-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.399" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lue-es\n\n\n* source languages: lue\n* target languages: es\n* OPUS readme: lue-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.399" ]	[ 62, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lue-es\n\n\n* source languages: lue\n* target languages: es\n* OPUS readme: lue-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.399" ]	[ -0.09650404006242752, 0.1300617754459381, -0.004858774598687887, 0.11062445491552353, 0.064767025411129, 0.006463798228651285, 0.07653840631246567, 0.14043748378753662, -0.014313077554106712, -0.016419468447566032, 0.11040608584880829, 0.14290156960487366, 0.006170924287289381, 0.10964459925889969, -0.06056753545999527, -0.16269727051258087, 0.04900601506233215, 0.0326705276966095, -0.056207288056612015, 0.11170325428247452, 0.0985930785536766, 0.004524074960500002, 0.11514867097139359, -0.03553786501288414, 0.003225564956665039, 0.09952501207590103, -0.011628447100520134, -0.04179725423455238, 0.06222572177648544, 0.07206854969263077, 0.027854882180690765, 0.05904741212725639, -0.001754078664816916, -0.23420189321041107, 0.008278737775981426, -0.01387170609086752, -0.047839269042015076, -0.0024998874869197607, 0.029976753517985344, -0.11873062700033188, 0.10646283626556396, -0.07110071927309036, 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null	null	transformers	### opus-mt-lue-fi * source languages: lue * target languages: fi * OPUS readme: [lue-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lue.fi \| 22.1 \| 0.427 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lue-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lue", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lue #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lue-fi * source languages: lue * target languages: fi * OPUS readme: lue-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.1, chr-F: 0.427	[ "### opus-mt-lue-fi\n\n\n* source languages: lue\n* target languages: fi\n* OPUS readme: lue-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.427" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lue-fi\n\n\n* source languages: lue\n* target languages: fi\n* OPUS readme: lue-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.1, chr-F: 0.427" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lue-fi\n\n\n* source languages: lue\n* target languages: fi\n* OPUS readme: lue-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: 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