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-lue-fr * source languages: lue * target languages: fr * OPUS readme: [lue-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lue.fr \| 24.1 \| 0.407 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lue-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lue", "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 #lue #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lue-fr * source languages: lue * target languages: fr * OPUS readme: lue-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: 24.1, chr-F: 0.407	[ "### opus-mt-lue-fr\n\n\n* source languages: lue\n* target languages: fr\n* OPUS readme: lue-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: 24.1, chr-F: 0.407" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lue-fr\n\n\n* source languages: lue\n* target languages: fr\n* OPUS readme: lue-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: 24.1, chr-F: 0.407" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lue-fr\n\n\n* source languages: lue\n* target languages: fr\n* OPUS readme: lue-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-lue-sv * source languages: lue * target languages: sv * OPUS readme: [lue-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lue.sv \| 23.7 \| 0.412 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lue-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lue", "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 #lue #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lue-sv * source languages: lue * target languages: sv * OPUS readme: lue-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: 23.7, chr-F: 0.412	[ "### opus-mt-lue-sv\n\n\n* source languages: lue\n* target languages: sv\n* OPUS readme: lue-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: 23.7, chr-F: 0.412" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lue-sv\n\n\n* source languages: lue\n* target languages: sv\n* OPUS readme: lue-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: 23.7, chr-F: 0.412" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lue #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lue-sv\n\n\n* source languages: lue\n* target languages: sv\n* OPUS readme: lue-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: 23.7, chr-F: 0.412" ]	[ -0.10336270928382874, 0.1304495632648468, -0.00432064663618803, 0.09629656374454498, 0.07782148569822311, -0.0006266648997552693, 0.06473267823457718, 0.14128968119621277, -0.022324949502944946, -0.004858768079429865, 0.12074410170316696, 0.12972567975521088, 0.012638110667467117, 0.10954739153385162, -0.06955446302890778, -0.15156778693199158, 0.05421973019838333, 0.024426277726888657, -0.06851867586374283, 0.11139194667339325, 0.09653551876544952, -0.007572380360215902, 0.11326993256807327, -0.030952854081988335, -0.008471508510410786, 0.08049040287733078, 0.006688879802823067, -0.03745285049080849, 0.05212186649441719, 0.06742491573095322, 0.014092172496020794, 0.06476549059152603, 0.014257295057177544, -0.21916314959526062, 0.008795227855443954, -0.016034096479415894, -0.04055703431367874, 0.001108699943870306, 0.035739392042160034, -0.10062311589717865, 0.10597734153270721, -0.08158572018146515, 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null	null	transformers	### opus-mt-lun-en * source languages: lun * target languages: en * OPUS readme: [lun-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lun-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/lun-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lun-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lun-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lun.en \| 30.6 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lun-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lun", "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 #lun #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lun-en * source languages: lun * target languages: en * OPUS readme: lun-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: 30.6, chr-F: 0.466	[ "### opus-mt-lun-en\n\n\n* source languages: lun\n* target languages: en\n* OPUS readme: lun-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: 30.6, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lun #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lun-en\n\n\n* source languages: lun\n* target languages: en\n* OPUS readme: lun-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: 30.6, chr-F: 0.466" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lun #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lun-en\n\n\n* source languages: lun\n* target languages: en\n* OPUS readme: lun-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: 30.6, chr-F: 0.466" ]	[ -0.1004592552781105, 0.11954204738140106, -0.0038690639194101095, 0.10147543251514435, 0.06419749557971954, 0.000917350291274488, 0.05768749117851257, 0.1342518925666809, -0.029700176790356636, -0.013877220451831818, 0.11107543110847473, 0.12793053686618805, 0.01034726481884718, 0.09848177433013916, -0.0682406798005104, -0.1578768938779831, 0.04523298516869545, 0.03013957105576992, -0.06125776097178459, 0.12329727411270142, 0.07723788172006607, -0.008748643100261688, 0.10960371047258377, -0.026386776939034462, -0.004927551839500666, 0.08335444331169128, -0.008441027253866196, -0.05379476770758629, 0.05228791758418083, 0.0628540888428688, 0.05000649020075798, 0.06264763325452805, -0.0009177884203381836, -0.21629512310028076, 0.011357131414115429, -0.009098936803638935, -0.04247378185391426, 0.004595618695020676, 0.0333029180765152, -0.08392257243394852, 0.14691783487796783, -0.0674407035112381, 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null	null	transformers	### opus-mt-luo-en * source languages: luo * target languages: en * OPUS readme: [luo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/luo-en/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/luo-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.luo.en \| 29.1 \| 0.452 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-luo-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "luo", "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 #luo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-luo-en * source languages: luo * target languages: en * OPUS readme: luo-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: 29.1, chr-F: 0.452	[ "### opus-mt-luo-en\n\n\n* source languages: luo\n* target languages: en\n* OPUS readme: luo-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: 29.1, chr-F: 0.452" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #luo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-luo-en\n\n\n* source languages: luo\n* target languages: en\n* OPUS readme: luo-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: 29.1, chr-F: 0.452" ]	[ 62, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #luo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-luo-en\n\n\n* source languages: luo\n* target languages: en\n* OPUS readme: luo-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: 29.1, chr-F: 0.452" ]	[ -0.096067875623703, 0.13032230734825134, -0.00493884040042758, 0.09376627206802368, 0.07550744712352753, -0.0052416520193219185, 0.06403885036706924, 0.14856889843940735, -0.035545945167541504, -0.009144478477537632, 0.09513839334249496, 0.14275318384170532, 0.015498065389692783, 0.12093934416770935, -0.07637231796979904, -0.17817215621471405, 0.04517780989408493, 0.03360794112086296, -0.07090102881193161, 0.11993344128131866, 0.08942898362874985, 0.002803720301017165, 0.10709068179130554, -0.027625152841210365, -0.003648360027000308, 0.07947215437889099, -0.012211776338517666, -0.06056908518075943, 0.04740899056196213, 0.0759420320391655, 0.02546723373234272, 0.06815265119075775, -0.011248448863625526, -0.2243017852306366, 0.01668092980980873, -0.001971160527318716, -0.048485103994607925, 0.007294768933206797, 0.04157337173819542, -0.1101737767457962, 0.12248746305704117, -0.07247163355350494, 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null	null	transformers	### opus-mt-lus-en * source languages: lus * target languages: en * OPUS readme: [lus-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lus.en \| 37.0 \| 0.534 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lus-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lus", "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 #lus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lus-en * source languages: lus * target languages: en * OPUS readme: lus-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: 37.0, chr-F: 0.534	[ "### opus-mt-lus-en\n\n\n* source languages: lus\n* target languages: en\n* OPUS readme: lus-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: 37.0, chr-F: 0.534" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-en\n\n\n* source languages: lus\n* target languages: en\n* OPUS readme: lus-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: 37.0, chr-F: 0.534" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-en\n\n\n* source languages: lus\n* target languages: en\n* OPUS readme: lus-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-lus-es * source languages: lus * target languages: es * OPUS readme: [lus-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lus.es \| 21.6 \| 0.389 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lus-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lus", "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 #lus #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lus-es * source languages: lus * target languages: es * OPUS readme: lus-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: 21.6, chr-F: 0.389	[ "### opus-mt-lus-es\n\n\n* source languages: lus\n* target languages: es\n* OPUS readme: lus-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: 21.6, chr-F: 0.389" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-es\n\n\n* source languages: lus\n* target languages: es\n* OPUS readme: lus-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: 21.6, chr-F: 0.389" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-es\n\n\n* source languages: lus\n* target languages: es\n* OPUS readme: lus-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: 21.6, chr-F: 0.389" ]	[ -0.10670651495456696, 0.11191076040267944, -0.004410879220813513, 0.08571112155914307, 0.08100150525569916, 0.004563031252473593, 0.06917285919189453, 0.14364275336265564, 0.0007611794862896204, -0.012028831988573074, 0.12212500721216202, 0.1294756978750229, 0.011940567754209042, 0.12660151720046997, -0.07073818147182465, -0.15219666063785553, 0.053396306931972504, 0.028217311948537827, -0.061350833624601364, 0.13017131388187408, 0.09709193557500839, -0.0033569892402738333, 0.1050914078950882, -0.034634582698345184, -0.006034176796674728, 0.09365943819284439, 0.003412006888538599, -0.0664696991443634, 0.05738600343465805, 0.06442932039499283, 0.0395662859082222, 0.0654364824295044, -0.008330515585839748, -0.20499423146247864, 0.0071300179697573185, 0.0006318195373751223, -0.04670530557632446, 0.013528081588447094, 0.041103001683950424, -0.1029626801609993, 0.10352257639169693, -0.06160847097635269, 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null	null	transformers	### opus-mt-lus-fi * source languages: lus * target languages: fi * OPUS readme: [lus-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lus.fi \| 22.6 \| 0.441 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lus-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lus", "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 #lus #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lus-fi * source languages: lus * target languages: fi * OPUS readme: lus-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: 22.6, chr-F: 0.441	[ "### opus-mt-lus-fi\n\n\n* source languages: lus\n* target languages: fi\n* OPUS readme: lus-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: 22.6, chr-F: 0.441" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-fi\n\n\n* source languages: lus\n* target languages: fi\n* OPUS readme: lus-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: 22.6, chr-F: 0.441" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-fi\n\n\n* source languages: lus\n* target languages: fi\n* OPUS readme: lus-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-lus-fr * source languages: lus * target languages: fr * OPUS readme: [lus-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lus.fr \| 25.5 \| 0.423 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lus-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lus", "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 #lus #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lus-fr * source languages: lus * target languages: fr * OPUS readme: lus-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: 25.5, chr-F: 0.423	[ "### opus-mt-lus-fr\n\n\n* source languages: lus\n* target languages: fr\n* OPUS readme: lus-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: 25.5, chr-F: 0.423" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-fr\n\n\n* source languages: lus\n* target languages: fr\n* OPUS readme: lus-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: 25.5, chr-F: 0.423" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-fr\n\n\n* source languages: lus\n* target languages: fr\n* OPUS readme: lus-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: 25.5, chr-F: 0.423" ]	[ -0.11609690636396408, 0.11352802067995071, -0.0042701479978859425, 0.0930175632238388, 0.07998980581760406, -0.004599295556545258, 0.04750194400548935, 0.1411016881465912, -0.010086927562952042, -0.0017265761271119118, 0.11865208297967911, 0.11462577432394028, 0.013098673895001411, 0.12343496829271317, -0.08637126535177231, -0.13921551406383514, 0.044808726757764816, 0.03105652704834938, -0.088694266974926, 0.13100457191467285, 0.08938932418823242, -0.0020470144227147102, 0.10994094610214233, -0.022863954305648804, -0.039421383291482925, 0.0805114284157753, 0.009689366444945335, -0.057240862399339676, 0.04971041530370712, 0.07398135215044022, 0.031146340072155, 0.06443200260400772, -0.013024157844483852, -0.19968117773532867, 0.013189353048801422, 0.003196412930265069, -0.045553892850875854, 0.019184689968824387, 0.05230214446783066, -0.10043329000473022, 0.13294486701488495, -0.045323509722948074, 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null	null	transformers	### opus-mt-lus-sv * source languages: lus * target languages: sv * OPUS readme: [lus-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lus.sv \| 25.5 \| 0.439 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lus-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lus", "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 #lus #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lus-sv * source languages: lus * target languages: sv * OPUS readme: lus-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: 25.5, chr-F: 0.439	[ "### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lus #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lus-sv\n\n\n* source languages: lus\n* target languages: sv\n* OPUS readme: lus-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: 25.5, chr-F: 0.439" ]	[ -0.11658445000648499, 0.11689233034849167, -0.003931859508156776, 0.0727166011929512, 0.09365559369325638, -0.0031466358341276646, 0.05032353848218918, 0.13991552591323853, -0.02038407512009144, 0.0019227454904466867, 0.13135020434856415, 0.1161981150507927, 0.019143955782055855, 0.12929007411003113, -0.07881812006235123, -0.13794036209583282, 0.056981056928634644, 0.02408563531935215, -0.0789286270737648, 0.12621133029460907, 0.09303781390190125, -0.01512916386127472, 0.10402624309062958, -0.030064517632126808, -0.015640655532479286, 0.0727887749671936, 0.024641413241624832, -0.056433793157339096, 0.04371790215373039, 0.0619877390563488, 0.02289321832358837, 0.07103021442890167, 0.010342196561396122, -0.19204670190811157, 0.008145817555487156, -0.003650679485872388, -0.037219010293483734, 0.01356559619307518, 0.048749130219221115, -0.08577046543359756, 0.10220731794834137, -0.07477020472288132, 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null	null	transformers	### opus-mt-lv-en * source languages: lv * target languages: en * OPUS readme: [lv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2017-enlv.lv.en \| 29.9 \| 0.587 \| \| newstest2017-enlv.lv.en \| 22.1 \| 0.526 \| \| Tatoeba.lv.en \| 53.3 \| 0.707 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "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 #lv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lv-en * source languages: lv * target languages: en * OPUS readme: lv-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: 29.9, chr-F: 0.587 testset: URL, BLEU: 22.1, chr-F: 0.526 testset: URL, BLEU: 53.3, chr-F: 0.707	[ "### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]	[ 61, 136 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-en\n\n\n* source languages: lv\n* target languages: en\n* OPUS readme: lv-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: 29.9, chr-F: 0.587\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 53.3, chr-F: 0.707" ]	[ -0.14484471082687378, 0.11135486513376236, -0.005140755791217089, 0.08053075522184372, 0.04029905050992966, 0.018861642107367516, 0.06576795876026154, 0.16280245780944824, 0.026895176619291306, 0.00482143322005868, 0.12795940041542053, 0.11346973478794098, -0.004820453468710184, 0.12301545590162277, -0.0540781244635582, -0.09133721143007278, 0.010197275318205357, 0.05738241598010063, -0.07057648152112961, 0.15157915651798248, 0.07532218843698502, -0.03693648800253868, 0.09031753242015839, -0.05426708236336708, -0.022627711296081543, 0.07314559817314148, 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null	null	transformers	### opus-mt-lv-es * source languages: lv * target languages: es * OPUS readme: [lv-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lv.es \| 21.7 \| 0.433 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "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 #lv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lv-es * source languages: lv * target languages: es * OPUS readme: lv-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: 21.7, chr-F: 0.433	[ "### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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: 21.7, chr-F: 0.433" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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: 21.7, chr-F: 0.433" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-es\n\n\n* source languages: lv\n* target languages: es\n* OPUS readme: lv-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-lv-fi * source languages: lv * target languages: fi * OPUS readme: [lv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lv.fi \| 20.6 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "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 #lv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lv-fi * source languages: lv * target languages: fi * OPUS readme: lv-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: 20.6, chr-F: 0.469	[ "### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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: 20.6, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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: 20.6, chr-F: 0.469" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-fi\n\n\n* source languages: lv\n* target languages: fi\n* OPUS readme: lv-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-lv-fr * source languages: lv * target languages: fr * OPUS readme: [lv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lv.fr \| 22.1 \| 0.437 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "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 #lv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lv-fr * source languages: lv * target languages: fr * OPUS readme: lv-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: 22.1, chr-F: 0.437	[ "### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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: 22.1, chr-F: 0.437" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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: 22.1, chr-F: 0.437" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-fr\n\n\n* source languages: lv\n* target languages: fr\n* OPUS readme: lv-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	### lav-rus * source group: Latvian * target group: Russian * OPUS readme: [lav-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lav-rus/README.md) * model: transformer-align * source language(s): lav * 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/lav-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.lav.rus \| 53.3 \| 0.702 \| ### System Info: - hf_name: lav-rus - source_languages: lav - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lav-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lv', 'ru'] - src_constituents: {'lav'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.test.txt - src_alpha3: lav - tgt_alpha3: rus - short_pair: lv-ru - chrF2_score: 0.7020000000000001 - bleu: 53.3 - brevity_penalty: 0.9840000000000001 - ref_len: 1541.0 - src_name: Latvian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: lv - tgt_alpha2: ru - prefer_old: False - long_pair: lav-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["lv", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "lv", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #lv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### lav-rus * source group: Latvian * target group: Russian * OPUS readme: lav-rus * model: transformer-align * source language(s): lav * 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: 53.3, chr-F: 0.702 ### System Info: * hf\_name: lav-rus * source\_languages: lav * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['lv', 'ru'] * src\_constituents: {'lav'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: lav * tgt\_alpha3: rus * short\_pair: lv-ru * chrF2\_score: 0.7020000000000001 * bleu: 53.3 * brevity\_penalty: 0.9840000000000001 * ref\_len: 1541.0 * src\_name: Latvian * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: lv * tgt\_alpha2: ru * prefer\_old: False * long\_pair: lav-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: lav-rus\n* source\\_languages: lav\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lv', 'ru']\n* src\\_constituents: {'lav'}\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: lav\n* tgt\\_alpha3: rus\n* short\\_pair: lv-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 53.3\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 1541.0\n* src\\_name: Latvian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lv\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lav-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 #lv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702", "### System Info:\n\n\n* hf\\_name: lav-rus\n* source\\_languages: lav\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['lv', 'ru']\n* src\\_constituents: {'lav'}\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: lav\n* tgt\\_alpha3: rus\n* short\\_pair: lv-ru\n* chrF2\\_score: 0.7020000000000001\n* bleu: 53.3\n* brevity\\_penalty: 0.9840000000000001\n* ref\\_len: 1541.0\n* src\\_name: Latvian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: lv\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: lav-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, 396 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### lav-rus\n\n\n* source group: Latvian\n* target group: Russian\n* OPUS readme: lav-rus\n* model: transformer-align\n* source language(s): lav\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: 53.3, chr-F: 0.702" ]	[ -0.09577707201242447, 0.012476443313062191, -0.0038492141757160425, 0.06858178228139877, 0.12130916863679886, 0.006767042446881533, 0.10679038614034653, 0.1166302040219307, 0.05465332046151161, 0.009540759027004242, 0.1094677522778511, 0.04390832409262657, -0.005456818267703056, 0.11013809591531754, -0.008579181507229805, -0.17170464992523193, 0.05976222828030586, 0.018427874892950058, -0.09491720795631409, 0.10380571335554123, 0.09177131950855255, -0.01927844248712063, 0.10978325456380844, 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null	null	transformers	### opus-mt-lv-sv * source languages: lv * target languages: sv * OPUS readme: [lv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.lv.sv \| 22.0 \| 0.444 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-lv-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "lv", "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 #lv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-lv-sv * source languages: lv * target languages: sv * OPUS readme: lv-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: 22.0, chr-F: 0.444	[ "### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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: 22.0, chr-F: 0.444" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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: 22.0, chr-F: 0.444" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #lv #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-lv-sv\n\n\n* source languages: lv\n* target languages: sv\n* OPUS readme: lv-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-mfe-en * source languages: mfe * target languages: en * OPUS readme: [mfe-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-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/mfe-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mfe.en \| 39.9 \| 0.552 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mfe-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mfe", "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 #mfe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mfe-en * source languages: mfe * target languages: en * OPUS readme: mfe-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: 39.9, chr-F: 0.552	[ "### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfe-en\n\n\n* source languages: mfe\n* target languages: en\n* OPUS readme: mfe-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: 39.9, chr-F: 0.552" ]	[ -0.14053457975387573, 0.12165102362632751, -0.004114470910280943, 0.061729442328214645, 0.07496460527181625, -0.008633527904748917, 0.048170872032642365, 0.13989679515361786, -0.00416648481041193, -0.0014465316198766232, 0.11983837187290192, 0.14235444366931915, 0.006633813958615065, 0.14504630863666534, -0.07980083674192429, -0.11477530747652054, 0.04391997307538986, 0.03342541307210922, -0.049392569810152054, 0.13900789618492126, 0.10323962569236755, -0.022512730211019516, 0.10164039582014084, -0.026355765759944916, -0.05177751183509827, 0.09174810349941254, 0.008453099057078362, -0.07277943193912506, 0.05007825419306755, 0.05774976685643196, 0.011574630625545979, 0.059123508632183075, -0.03799043968319893, -0.19181285798549652, 0.01599235087633133, 0.003035013796761632, -0.039079274982213974, 0.0075812749564647675, 0.061740223318338394, -0.08615271002054214, 0.11466006934642792, -0.033049166202545166, 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null	null	transformers	### opus-mt-mfe-es * source languages: mfe * target languages: es * OPUS readme: [mfe-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-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/mfe-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mfe.es \| 24.0 \| 0.418 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mfe-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mfe", "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 #mfe #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mfe-es * source languages: mfe * target languages: es * OPUS readme: mfe-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: 24.0, chr-F: 0.418	[ "### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfe #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfe-es\n\n\n* source languages: mfe\n* target languages: es\n* OPUS readme: mfe-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: 24.0, chr-F: 0.418" ]	[ -0.13825716078281403, 0.11255643516778946, -0.004181008320301771, 0.059790290892124176, 0.07675860822200775, -0.0005732445861212909, 0.05523980036377907, 0.13892079889774323, 0.0198799017816782, -0.005311003420501947, 0.1235298216342926, 0.13612064719200134, 0.009264141321182251, 0.15730756521224976, -0.07523860782384872, -0.11613026261329651, 0.05003097280859947, 0.03192548453807831, -0.05035072937607765, 0.13205279409885406, 0.10970475524663925, -0.01868700236082077, 0.10657283663749695, -0.028711549937725067, -0.04632771387696266, 0.10153855383396149, 0.005747819785028696, -0.07569091022014618, 0.05122668296098709, 0.06315575540065765, 0.013935675844550133, 0.06088213995099068, -0.039295539259910583, -0.19795875251293182, 0.011497344821691513, -0.0006718416698276997, -0.04367665946483612, 0.002404914004728198, 0.059374719858169556, -0.08867229521274567, 0.10915173590183258, -0.029783982783555984, 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null	null	transformers	### opus-mt-mfs-es * source languages: mfs * target languages: es * OPUS readme: [mfs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfs-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/mfs-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mfs.es \| 88.9 \| 0.910 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mfs-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mfs", "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 #mfs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mfs-es * source languages: mfs * target languages: es * OPUS readme: mfs-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: 88.9, chr-F: 0.910	[ "### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mfs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mfs-es\n\n\n* source languages: mfs\n* target languages: es\n* OPUS readme: mfs-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: 88.9, chr-F: 0.910" ]	[ -0.1400570124387741, 0.10643187165260315, -0.003959303256124258, 0.06350697576999664, 0.08205854147672653, -0.0030046517495065928, 0.04911641776561737, 0.14528821408748627, 0.018622903153300285, -0.009142826311290264, 0.12527206540107727, 0.13180305063724518, 0.011255921795964241, 0.14097200334072113, -0.07976366579532623, -0.11315280199050903, 0.05561554804444313, 0.028333378955721855, -0.06101207062602043, 0.1328667551279068, 0.10518781840801239, -0.018549084663391113, 0.10843721777200699, -0.03758489340543747, -0.040935009717941284, 0.0878768116235733, 0.013100286945700645, -0.06959560513496399, 0.04945322126150131, 0.07013815641403198, 0.006777967792004347, 0.06850394606590271, -0.026607824489474297, -0.1828918606042862, 0.009511144831776619, 0.0049870130605995655, -0.03975582867860794, 0.009044632315635681, 0.05111141875386238, -0.07455267757177353, 0.11712497472763062, -0.03651488944888115, 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null	null	transformers	### opus-mt-mg-en * source languages: mg * target languages: en * OPUS readme: [mg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-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/mg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.mg.en \| 27.6 \| 0.522 \| \| Tatoeba.mg.en \| 50.2 \| 0.607 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mg-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mg", "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 #mg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mg-en * source languages: mg * target languages: en * OPUS readme: mg-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: 27.6, chr-F: 0.522 testset: URL, BLEU: 50.2, chr-F: 0.607	[ "### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]	[ 61, 118 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mg-en\n\n\n* source languages: mg\n* target languages: en\n* OPUS readme: mg-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: 27.6, chr-F: 0.522\ntestset: URL, BLEU: 50.2, chr-F: 0.607" ]	[ -0.12388261407613754, 0.11937972903251648, -0.004191064275801182, 0.0511336512863636, 0.06735142320394516, 0.009819443337619305, 0.07120596617460251, 0.14831964671611786, -0.025998564437031746, 0.01455029658973217, 0.13175314664840698, 0.13572359085083008, 0.0030969055369496346, 0.15587058663368225, -0.06769304722547531, -0.123793825507164, 0.013607960194349289, 0.04636474326252937, -0.08359896391630173, 0.15484602749347687, 0.09215657413005829, -0.027895549312233925, 0.08875910192728043, -0.042210277169942856, -0.057566724717617035, 0.08360201120376587, 0.026345742866396904, -0.06061888486146927, 0.05119137838482857, 0.05433863773941994, 0.00030721796792931855, 0.0748877003788948, -0.04173871874809265, -0.20177465677261353, 0.01319997850805521, -0.015742551535367966, 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null	null	transformers	### opus-mt-mg-es * source languages: mg * target languages: es * OPUS readme: [mg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-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/mg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.mg.es \| 23.1 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mg-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mg", "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 #mg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mg-es * source languages: mg * target languages: es * OPUS readme: mg-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: 0.480	[ "### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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: 0.480" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mg-es\n\n\n* source languages: mg\n* target languages: es\n* OPUS readme: mg-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-mh-en * source languages: mh * target languages: en * OPUS readme: [mh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mh.en \| 36.5 \| 0.505 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mh-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mh", "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 #mh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mh-en * source languages: mh * target languages: en * OPUS readme: mh-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: 36.5, chr-F: 0.505	[ "### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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: 36.5, chr-F: 0.505" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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: 36.5, chr-F: 0.505" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-en\n\n\n* source languages: mh\n* target languages: en\n* OPUS readme: mh-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-mh-es * source languages: mh * target languages: es * OPUS readme: [mh-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mh.es \| 23.6 \| 0.407 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mh-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mh", "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 #mh #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mh-es * source languages: mh * target languages: es * OPUS readme: mh-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: 23.6, chr-F: 0.407	[ "### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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: 23.6, chr-F: 0.407" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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: 23.6, chr-F: 0.407" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-es\n\n\n* source languages: mh\n* target languages: es\n* OPUS readme: mh-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-mh-fi * source languages: mh * target languages: fi * OPUS readme: [mh-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mh.fi \| 23.3 \| 0.442 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mh-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mh", "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 #mh #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mh-fi * source languages: mh * target languages: fi * OPUS readme: mh-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: 23.3, chr-F: 0.442	[ "### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-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: 23.3, chr-F: 0.442" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-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: 23.3, chr-F: 0.442" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mh #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mh-fi\n\n\n* source languages: mh\n* target languages: fi\n* OPUS readme: mh-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-mk-en * source languages: mk * target languages: en * OPUS readme: [mk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.mk.en \| 59.8 \| 0.720 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mk-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mk", "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 #mk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mk-en * source languages: mk * target languages: en * OPUS readme: mk-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: 59.8, chr-F: 0.720	[ "### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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: 59.8, chr-F: 0.720" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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: 59.8, chr-F: 0.720" ]	[ 61, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-en\n\n\n* source languages: mk\n* target languages: en\n* OPUS readme: mk-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	### mkd-spa * source group: Macedonian * target group: Spanish * OPUS readme: [mkd-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkd-spa/README.md) * model: transformer-align * source language(s): mkd * 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/mkd-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.mkd.spa \| 56.5 \| 0.717 \| ### System Info: - hf_name: mkd-spa - source_languages: mkd - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkd-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['mk', 'es'] - src_constituents: {'mkd'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.test.txt - src_alpha3: mkd - tgt_alpha3: spa - short_pair: mk-es - chrF2_score: 0.7170000000000001 - bleu: 56.5 - brevity_penalty: 0.997 - ref_len: 1121.0 - src_name: Macedonian - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: mk - tgt_alpha2: es - prefer_old: False - long_pair: mkd-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["mk", "es"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mk-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mk", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "mk", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #mk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### mkd-spa * source group: Macedonian * target group: Spanish * OPUS readme: mkd-spa * model: transformer-align * source language(s): mkd * 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: 56.5, chr-F: 0.717 ### System Info: * hf\_name: mkd-spa * source\_languages: mkd * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['mk', 'es'] * src\_constituents: {'mkd'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: mkd * tgt\_alpha3: spa * short\_pair: mk-es * chrF2\_score: 0.7170000000000001 * bleu: 56.5 * brevity\_penalty: 0.997 * ref\_len: 1121.0 * src\_name: Macedonian * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: mk * tgt\_alpha2: es * prefer\_old: False * long\_pair: mkd-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\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: 56.5, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: mkd-spa\n* source\\_languages: mkd\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mk', 'es']\n* src\\_constituents: {'mkd'}\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: mkd\n* tgt\\_alpha3: spa\n* short\\_pair: mk-es\n* chrF2\\_score: 0.7170000000000001\n* bleu: 56.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 1121.0\n* src\\_name: Macedonian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: mk\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: mkd-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 #mk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\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: 56.5, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: mkd-spa\n* source\\_languages: mkd\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['mk', 'es']\n* src\\_constituents: {'mkd'}\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: mkd\n* tgt\\_alpha3: spa\n* short\\_pair: mk-es\n* chrF2\\_score: 0.7170000000000001\n* bleu: 56.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 1121.0\n* src\\_name: Macedonian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: mk\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: mkd-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 127, 402 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### mkd-spa\n\n\n* source group: Macedonian\n* target group: Spanish\n* OPUS readme: mkd-spa\n* model: transformer-align\n* source language(s): mkd\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: 56.5, chr-F: 0.717" ]	[ -0.10231170058250427, 0.00801356602460146, -0.0034208791330456734, 0.04459696635603905, 0.12510575354099274, 0.015145696699619293, 0.09689833968877792, 0.12279120087623596, -0.012488693930208683, 0.00208587315864861, 0.1041700467467308, 0.11767391115427017, 0.02510552853345871, 0.12012571096420288, -0.03282864764332771, -0.2164560705423355, 0.0741010382771492, 0.0010774446418508887, -0.04793950542807579, 0.13345389068126678, 0.105032779276371, -0.043991819024086, 0.10152935981750488, -0.02802320383489132, -0.08092039823532104, 0.09058887511491776, 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null	null	transformers	### opus-mt-mk-fi * source languages: mk * target languages: fi * OPUS readme: [mk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mk.fi \| 25.9 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mk-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mk", "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 #mk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mk-fi * source languages: mk * target languages: fi * OPUS readme: mk-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: 25.9, chr-F: 0.498	[ "### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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: 25.9, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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: 25.9, chr-F: 0.498" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-fi\n\n\n* source languages: mk\n* target languages: fi\n* OPUS readme: mk-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-mk-fr * source languages: mk * target languages: fr * OPUS readme: [mk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.mk.fr \| 22.3 \| 0.492 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mk-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mk", "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 #mk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mk-fr * source languages: mk * target languages: fr * OPUS readme: mk-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: 22.3, chr-F: 0.492	[ "### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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: 22.3, chr-F: 0.492" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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: 22.3, chr-F: 0.492" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mk-fr\n\n\n* source languages: mk\n* target languages: fr\n* OPUS readme: mk-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	### mkh-eng * source group: Mon-Khmer languages * target group: English * OPUS readme: [mkh-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkh-eng/README.md) * model: transformer * source language(s): kha khm khm_Latn mnw vie vie_Hani * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kha-eng.kha.eng \| 0.5 \| 0.108 \| \| Tatoeba-test.khm-eng.khm.eng \| 8.5 \| 0.206 \| \| Tatoeba-test.mnw-eng.mnw.eng \| 0.7 \| 0.110 \| \| Tatoeba-test.multi.eng \| 24.5 \| 0.407 \| \| Tatoeba-test.vie-eng.vie.eng \| 34.4 \| 0.529 \| ### System Info: - hf_name: mkh-eng - source_languages: mkh - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkh-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['vi', 'km', 'mkh', 'en'] - src_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.test.txt - src_alpha3: mkh - tgt_alpha3: eng - short_pair: mkh-en - chrF2_score: 0.40700000000000003 - bleu: 24.5 - brevity_penalty: 1.0 - ref_len: 33985.0 - src_name: Mon-Khmer languages - tgt_name: English - train_date: 2020-07-27 - src_alpha2: mkh - tgt_alpha2: en - prefer_old: False - long_pair: mkh-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["vi", "km", "mkh", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mkh-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "vi", "km", "mkh", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "vi", "km", "mkh", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #vi #km #mkh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### mkh-eng * source group: Mon-Khmer languages * target group: English * OPUS readme: mkh-eng * model: transformer * source language(s): kha khm khm\_Latn mnw vie vie\_Hani * 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: 0.5, chr-F: 0.108 testset: URL, BLEU: 8.5, chr-F: 0.206 testset: URL, BLEU: 0.7, chr-F: 0.110 testset: URL, BLEU: 24.5, chr-F: 0.407 testset: URL, BLEU: 34.4, chr-F: 0.529 ### System Info: * hf\_name: mkh-eng * source\_languages: mkh * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['vi', 'km', 'mkh', 'en'] * src\_constituents: {'vie\_Hani', 'mnw', 'vie', 'kha', 'khm\_Latn', 'khm'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: mkh * tgt\_alpha3: eng * short\_pair: mkh-en * chrF2\_score: 0.40700000000000003 * bleu: 24.5 * brevity\_penalty: 1.0 * ref\_len: 33985.0 * src\_name: Mon-Khmer languages * tgt\_name: English * train\_date: 2020-07-27 * src\_alpha2: mkh * tgt\_alpha2: en * prefer\_old: False * long\_pair: mkh-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529", "### System Info:\n\n\n* hf\\_name: mkh-eng\n* source\\_languages: mkh\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'km', 'mkh', 'en']\n* src\\_constituents: {'vie\\_Hani', 'mnw', 'vie', 'kha', 'khm\\_Latn', 'khm'}\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: mkh\n* tgt\\_alpha3: eng\n* short\\_pair: mkh-en\n* chrF2\\_score: 0.40700000000000003\n* bleu: 24.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 33985.0\n* src\\_name: Mon-Khmer languages\n* tgt\\_name: English\n* train\\_date: 2020-07-27\n* src\\_alpha2: mkh\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mkh-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 #vi #km #mkh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529", "### System Info:\n\n\n* hf\\_name: mkh-eng\n* source\\_languages: mkh\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['vi', 'km', 'mkh', 'en']\n* src\\_constituents: {'vie\\_Hani', 'mnw', 'vie', 'kha', 'khm\\_Latn', 'khm'}\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: mkh\n* tgt\\_alpha3: eng\n* short\\_pair: mkh-en\n* chrF2\\_score: 0.40700000000000003\n* bleu: 24.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 33985.0\n* src\\_name: Mon-Khmer languages\n* tgt\\_name: English\n* train\\_date: 2020-07-27\n* src\\_alpha2: mkh\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mkh-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 66, 207, 439 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #vi #km #mkh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### mkh-eng\n\n\n* source group: Mon-Khmer languages\n* target group: English\n* OPUS readme: mkh-eng\n* model: transformer\n* source language(s): kha khm khm\\_Latn mnw vie vie\\_Hani\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: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 8.5, chr-F: 0.206\ntestset: URL, BLEU: 0.7, chr-F: 0.110\ntestset: URL, BLEU: 24.5, chr-F: 0.407\ntestset: URL, BLEU: 34.4, chr-F: 0.529" ]	[ -0.1351977437734604, 0.0716559961438179, -0.005586827173829079, 0.013487504795193672, 0.022454742342233658, 0.004882896319031715, 0.04401082172989845, 0.1448775976896286, 0.01849059946835041, 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null	null	transformers	### opus-mt-ml-en * source languages: ml * target languages: en * OPUS readme: [ml-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ml-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.zip) * test set translations: [opus-2020-04-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.test.txt) * test set scores: [opus-2020-04-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.ml.en \| 42.7 \| 0.605 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ml-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ml", "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 #ml #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ml-en * source languages: ml * target languages: en * OPUS readme: ml-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: 42.7, chr-F: 0.605	[ "### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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: 42.7, chr-F: 0.605" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ml #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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: 42.7, chr-F: 0.605" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ml #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ml-en\n\n\n* source languages: ml\n* target languages: en\n* OPUS readme: ml-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-mos-en * source languages: mos * target languages: en * OPUS readme: [mos-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mos-en/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/mos-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mos.en \| 26.1 \| 0.408 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mos-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mos", "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 #mos #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mos-en * source languages: mos * target languages: en * OPUS readme: mos-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: 26.1, chr-F: 0.408	[ "### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mos #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mos #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mos-en\n\n\n* source languages: mos\n* target languages: en\n* OPUS readme: mos-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: 26.1, chr-F: 0.408" ]	[ -0.10747864097356796, 0.07457982003688812, -0.004963095765560865, 0.02559819631278515, 0.10409583896398544, -0.00876547209918499, 0.07961919903755188, 0.14007292687892914, -0.06089623644948006, -0.01647450216114521, 0.12469808757305145, 0.16380520164966583, 0.033137984573841095, 0.10094267129898071, -0.07313572615385056, -0.13703137636184692, 0.042318884283304214, 0.018855279311537743, -0.06098406761884689, 0.1288076639175415, 0.11006340384483337, -0.024011678993701935, 0.11071779578924179, -0.024841181933879852, -0.031878791749477386, 0.07866555452346802, 0.0077034952118992805, -0.06983038783073425, 0.044067900627851486, 0.08540711551904678, -0.0024452125653624535, 0.0757904052734375, -0.016494663432240486, -0.19742630422115326, 0.02021690644323826, 0.013056526891887188, -0.04070611298084259, 0.01320794876664877, 0.06447393447160721, -0.09401138871908188, 0.08233519643545151, -0.07801657170057297, 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null	null	transformers	### opus-mt-mr-en * source languages: mr * target languages: en * OPUS readme: [mr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mr-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/mr-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.mr.en \| 38.2 \| 0.515 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mr-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mr", "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 #mr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mr-en * source languages: mr * target languages: en * OPUS readme: mr-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: 38.2, chr-F: 0.515	[ "### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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: 38.2, chr-F: 0.515" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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: 38.2, chr-F: 0.515" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mr-en\n\n\n* source languages: mr\n* target languages: en\n* OPUS readme: mr-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	### msa-deu * source group: Malay (macrolanguage) * target group: German * OPUS readme: [msa-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md) * model: transformer-align * source language(s): ind zsm_Latn * target language(s): deu * 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/msa-deu/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa.deu \| 36.5 \| 0.584 \| ### System Info: - hf_name: msa-deu - source_languages: msa - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'de'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: deu - short_pair: ms-de - chrF2_score: 0.584 - bleu: 36.5 - brevity_penalty: 0.966 - ref_len: 4198.0 - src_name: Malay (macrolanguage) - tgt_name: German - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: de - prefer_old: False - long_pair: msa-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ms", "de"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ms-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ms", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ms", "de" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### msa-deu * source group: Malay (macrolanguage) * target group: German * OPUS readme: msa-deu * model: transformer-align * source language(s): ind zsm\_Latn * target language(s): deu * 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: 36.5, chr-F: 0.584 ### System Info: * hf\_name: msa-deu * source\_languages: msa * target\_languages: deu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ms', 'de'] * src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * tgt\_constituents: {'deu'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: msa * tgt\_alpha3: deu * short\_pair: ms-de * chrF2\_score: 0.584 * bleu: 36.5 * brevity\_penalty: 0.966 * ref\_len: 4198.0 * src\_name: Malay (macrolanguage) * tgt\_name: German * train\_date: 2020-06-17 * src\_alpha2: ms * tgt\_alpha2: de * prefer\_old: False * long\_pair: msa-deu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584", "### System Info:\n\n\n* hf\\_name: msa-deu\n* source\\_languages: msa\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'de']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'deu'}\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: msa\n* tgt\\_alpha3: deu\n* short\\_pair: ms-de\n* chrF2\\_score: 0.584\n* bleu: 36.5\n* brevity\\_penalty: 0.966\n* ref\\_len: 4198.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: msa-deu\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 #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584", "### System Info:\n\n\n* hf\\_name: msa-deu\n* source\\_languages: msa\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'de']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'deu'}\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: msa\n* tgt\\_alpha3: deu\n* short\\_pair: ms-de\n* chrF2\\_score: 0.584\n* bleu: 36.5\n* brevity\\_penalty: 0.966\n* ref\\_len: 4198.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: msa-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 138, 437 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-deu\n\n\n* source group: Malay (macrolanguage)\n* target group: German\n* OPUS readme: msa-deu\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\n* target language(s): deu\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: 36.5, chr-F: 0.584" ]	[ -0.10319551825523376, -0.03638620674610138, -0.0034036757424473763, 0.0019482297357171774, 0.0759110078215599, -0.0021456172689795494, 0.06864264607429504, 0.08010437339544296, -0.07473892718553543, 0.015611397102475166, 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null	null	transformers	### msa-fra * source group: Malay (macrolanguage) * target group: French * OPUS readme: [msa-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-fra/README.md) * model: transformer-align * source language(s): ind zsm_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/msa-fra/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa.fra \| 43.7 \| 0.609 \| ### System Info: - hf_name: msa-fra - source_languages: msa - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'fr'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: fra - short_pair: ms-fr - chrF2_score: 0.609 - bleu: 43.7 - brevity_penalty: 0.9740000000000001 - ref_len: 7808.0 - src_name: Malay (macrolanguage) - tgt_name: French - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: fr - prefer_old: False - long_pair: msa-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ms", "fr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ms-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ms", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ms", "fr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ms #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### msa-fra * source group: Malay (macrolanguage) * target group: French * OPUS readme: msa-fra * model: transformer-align * source language(s): ind zsm\_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: 43.7, chr-F: 0.609 ### System Info: * hf\_name: msa-fra * source\_languages: msa * target\_languages: fra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ms', 'fr'] * src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * tgt\_constituents: {'fra'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: msa * tgt\_alpha3: fra * short\_pair: ms-fr * chrF2\_score: 0.609 * bleu: 43.7 * brevity\_penalty: 0.9740000000000001 * ref\_len: 7808.0 * src\_name: Malay (macrolanguage) * tgt\_name: French * train\_date: 2020-06-17 * src\_alpha2: ms * tgt\_alpha2: fr * prefer\_old: False * long\_pair: msa-fra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_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: 43.7, chr-F: 0.609", "### System Info:\n\n\n* hf\\_name: msa-fra\n* source\\_languages: msa\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'fr']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: fra\n* short\\_pair: ms-fr\n* chrF2\\_score: 0.609\n* bleu: 43.7\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7808.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: msa-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 #ms #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_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: 43.7, chr-F: 0.609", "### System Info:\n\n\n* hf\\_name: msa-fra\n* source\\_languages: msa\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'fr']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: fra\n* short\\_pair: ms-fr\n* chrF2\\_score: 0.609\n* bleu: 43.7\n* brevity\\_penalty: 0.9740000000000001\n* ref\\_len: 7808.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: msa-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 136, 435 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-fra\n\n\n* source group: Malay (macrolanguage)\n* target group: French\n* OPUS readme: msa-fra\n* model: transformer-align\n* source language(s): ind zsm\\_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: 43.7, chr-F: 0.609" ]	[ -0.0952908918261528, -0.0032987273298203945, -0.004247759934514761, 0.0331973098218441, 0.06761693209409714, -0.020832683891057968, 0.05716881528496742, 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null	null	transformers	### msa-ita * source group: Malay (macrolanguage) * target group: Italian * OPUS readme: [msa-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-ita/README.md) * model: transformer-align * source language(s): ind zsm_Latn * 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/msa-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa.ita \| 37.8 \| 0.613 \| ### System Info: - hf_name: msa-ita - source_languages: msa - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'it'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: ita - short_pair: ms-it - chrF2_score: 0.613 - bleu: 37.8 - brevity_penalty: 0.995 - ref_len: 2758.0 - src_name: Malay (macrolanguage) - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: it - prefer_old: False - long_pair: msa-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ms", "it"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ms-it	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ms", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ms", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ms #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### msa-ita * source group: Malay (macrolanguage) * target group: Italian * OPUS readme: msa-ita * model: transformer-align * source language(s): ind zsm\_Latn * 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: 37.8, chr-F: 0.613 ### System Info: * hf\_name: msa-ita * source\_languages: msa * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ms', 'it'] * src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * tgt\_constituents: {'ita'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: msa * tgt\_alpha3: ita * short\_pair: ms-it * chrF2\_score: 0.613 * bleu: 37.8 * brevity\_penalty: 0.995 * ref\_len: 2758.0 * src\_name: Malay (macrolanguage) * tgt\_name: Italian * train\_date: 2020-06-17 * src\_alpha2: ms * tgt\_alpha2: it * prefer\_old: False * long\_pair: msa-ita * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\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: 37.8, chr-F: 0.613", "### System Info:\n\n\n* hf\\_name: msa-ita\n* source\\_languages: msa\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'it']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: ita\n* short\\_pair: ms-it\n* chrF2\\_score: 0.613\n* bleu: 37.8\n* brevity\\_penalty: 0.995\n* ref\\_len: 2758.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: msa-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 #ms #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\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: 37.8, chr-F: 0.613", "### System Info:\n\n\n* hf\\_name: msa-ita\n* source\\_languages: msa\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms', 'it']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: ita\n* short\\_pair: ms-it\n* chrF2\\_score: 0.613\n* bleu: 37.8\n* brevity\\_penalty: 0.995\n* ref\\_len: 2758.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: msa-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 136, 433 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-ita\n\n\n* source group: Malay (macrolanguage)\n* target group: Italian\n* OPUS readme: msa-ita\n* model: transformer-align\n* source language(s): ind zsm\\_Latn\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: 37.8, chr-F: 0.613" ]	[ -0.09241508692502975, -0.017068831250071526, -0.004098405595868826, 0.028090612962841988, 0.045820821076631546, 0.017953762784600258, 0.08450130373239517, 0.13519518077373505, -0.07045694440603256, 0.003590184962376952, 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null	null	transformers	### msa-msa * source group: Malay (macrolanguage) * target group: Malay (macrolanguage) * OPUS readme: [msa-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md) * model: transformer-align * source language(s): ind max_Latn min zlm_Latn zsm_Latn * target language(s): ind max_Latn min zlm_Latn zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * 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/msa-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa.msa \| 18.6 \| 0.418 \| ### System Info: - hf_name: msa-msa - source_languages: msa - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: msa - short_pair: ms-ms - chrF2_score: 0.418 - bleu: 18.6 - brevity_penalty: 1.0 - ref_len: 6029.0 - src_name: Malay (macrolanguage) - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: ms - prefer_old: False - long_pair: msa-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ms"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ms-ms	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ms" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### msa-msa * source group: Malay (macrolanguage) * target group: Malay (macrolanguage) * OPUS readme: msa-msa * model: transformer-align * source language(s): ind max\_Latn min zlm\_Latn zsm\_Latn * target language(s): ind max\_Latn min zlm\_Latn zsm\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * 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: 18.6, chr-F: 0.418 ### System Info: * hf\_name: msa-msa * source\_languages: msa * target\_languages: msa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ms'] * src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: msa * tgt\_alpha3: msa * short\_pair: ms-ms * chrF2\_score: 0.418 * bleu: 18.6 * brevity\_penalty: 1.0 * ref\_len: 6029.0 * src\_name: Malay (macrolanguage) * tgt\_name: Malay (macrolanguage) * train\_date: 2020-06-17 * src\_alpha2: ms * tgt\_alpha2: ms * prefer\_old: False * long\_pair: msa-msa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 18.6, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: msa-msa\n* source\\_languages: msa\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: msa\n* short\\_pair: ms-ms\n* chrF2\\_score: 0.418\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6029.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: msa-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 #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 18.6, chr-F: 0.418", "### System Info:\n\n\n* hf\\_name: msa-msa\n* source\\_languages: msa\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ms']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\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: msa\n* tgt\\_alpha3: msa\n* short\\_pair: ms-ms\n* chrF2\\_score: 0.418\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6029.0\n* src\\_name: Malay (macrolanguage)\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: ms\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: msa-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 59, 207, 471 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### msa-msa\n\n\n* source group: Malay (macrolanguage)\n* target group: Malay (macrolanguage)\n* OPUS readme: msa-msa\n* model: transformer-align\n* source language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* target language(s): ind max\\_Latn min zlm\\_Latn zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 18.6, chr-F: 0.418" ]	[ -0.08908860385417938, -0.027426205575466156, -0.0038466108962893486, -0.0026670193765312433, 0.07647324353456497, -0.0036005780566483736, 0.0602431558072567, 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null	null	transformers	### opus-mt-mt-en * source languages: mt * target languages: en * OPUS readme: [mt-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-en/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/mt-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mt.en \| 49.0 \| 0.655 \| \| Tatoeba.mt.en \| 53.3 \| 0.685 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mt-en	[ "transformers", "pytorch", "tf", "jax", "marian", "text2text-generation", "translation", "mt", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #jax #marian #text2text-generation #translation #mt #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mt-en * source languages: mt * target languages: en * OPUS readme: mt-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: 49.0, chr-F: 0.655 testset: URL, BLEU: 53.3, chr-F: 0.685	[ "### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #mt #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]	[ 65, 122 ]	[ "passage: TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #mt #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-en\n\n\n* source languages: mt\n* target languages: en\n* OPUS readme: mt-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: 49.0, chr-F: 0.655\ntestset: URL, BLEU: 53.3, chr-F: 0.685" ]	[ -0.14701974391937256, 0.09804727882146835, -0.003059075679630041, 0.06635859608650208, 0.07044364511966705, 0.009816029109060764, 0.04681997001171112, 0.1523759514093399, 0.01725005730986595, 0.0029651671648025513, 0.1311400979757309, 0.15222780406475067, 0.001592208631336689, 0.15069584548473358, -0.08205874264240265, -0.1149163544178009, 0.012654213234782219, 0.040579136461019516, -0.04990183189511299, 0.15939000248908997, 0.08925402909517288, -0.029413199052214622, 0.09884914010763168, -0.050456542521715164, -0.0324719101190567, 0.06885203719139099, 0.021937156096100807, -0.07301265001296997, 0.04441192373633385, 0.07091545313596725, 0.011818607337772846, 0.07900413125753403, -0.04571615159511566, -0.19278401136398315, 0.012489904649555683, 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null	null	transformers	### opus-mt-mt-es * source languages: mt * target languages: es * OPUS readme: [mt-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-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/mt-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mt.es \| 27.1 \| 0.471 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mt-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "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 #mt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mt-es * source languages: mt * target languages: es * OPUS readme: mt-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: 27.1, chr-F: 0.471	[ "### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-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: 27.1, chr-F: 0.471" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-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: 27.1, chr-F: 0.471" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-es\n\n\n* source languages: mt\n* target languages: es\n* OPUS readme: mt-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-mt-fi * source languages: mt * target languages: fi * OPUS readme: [mt-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-fi/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/mt-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mt.fi \| 24.9 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mt-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "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 #mt #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mt-fi * source languages: mt * target languages: fi * OPUS readme: mt-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: 24.9, chr-F: 0.509	[ "### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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: 24.9, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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: 24.9, chr-F: 0.509" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-fi\n\n\n* source languages: mt\n* target languages: fi\n* OPUS readme: mt-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-mt-fr * source languages: mt * target languages: fr * OPUS readme: [mt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-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/mt-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mt.fr \| 27.2 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mt-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "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 #mt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mt-fr * source languages: mt * target languages: fr * OPUS readme: mt-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: 27.2, chr-F: 0.475	[ "### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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: 27.2, chr-F: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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: 27.2, chr-F: 0.475" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-fr\n\n\n* source languages: mt\n* target languages: fr\n* OPUS readme: mt-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-mt-sv * source languages: mt * target languages: sv * OPUS readme: [mt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-sv/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/mt-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.mt.sv \| 30.4 \| 0.514 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mt-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "mt", "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 #mt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-mt-sv * source languages: mt * target languages: sv * OPUS readme: mt-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: 30.4, chr-F: 0.514	[ "### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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: 30.4, chr-F: 0.514" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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: 30.4, chr-F: 0.514" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #mt #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-mt-sv\n\n\n* source languages: mt\n* target languages: sv\n* OPUS readme: mt-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	### mul-eng * source group: Multiple languages * target group: English * OPUS readme: [mul-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mul-eng/README.md) * model: transformer * source language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza * 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/mul-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-hineng.hin.eng \| 8.5 \| 0.341 \| \| newsdev2015-enfi-fineng.fin.eng \| 16.8 \| 0.441 \| \| newsdev2016-enro-roneng.ron.eng \| 31.3 \| 0.580 \| \| newsdev2016-entr-tureng.tur.eng \| 16.4 \| 0.422 \| \| newsdev2017-enlv-laveng.lav.eng \| 21.3 \| 0.502 \| \| newsdev2017-enzh-zhoeng.zho.eng \| 12.7 \| 0.409 \| \| newsdev2018-enet-esteng.est.eng \| 19.8 \| 0.467 \| \| newsdev2019-engu-gujeng.guj.eng \| 13.3 \| 0.385 \| \| newsdev2019-enlt-liteng.lit.eng \| 19.9 \| 0.482 \| \| newsdiscussdev2015-enfr-fraeng.fra.eng \| 26.7 \| 0.520 \| \| newsdiscusstest2015-enfr-fraeng.fra.eng \| 29.8 \| 0.541 \| \| newssyscomb2009-ceseng.ces.eng \| 21.1 \| 0.487 \| \| newssyscomb2009-deueng.deu.eng \| 22.6 \| 0.499 \| \| newssyscomb2009-fraeng.fra.eng \| 25.8 \| 0.530 \| \| newssyscomb2009-huneng.hun.eng \| 15.1 \| 0.430 \| \| newssyscomb2009-itaeng.ita.eng \| 29.4 \| 0.555 \| \| newssyscomb2009-spaeng.spa.eng \| 26.1 \| 0.534 \| \| news-test2008-deueng.deu.eng \| 21.6 \| 0.491 \| \| news-test2008-fraeng.fra.eng \| 22.3 \| 0.502 \| \| news-test2008-spaeng.spa.eng \| 23.6 \| 0.514 \| \| newstest2009-ceseng.ces.eng \| 19.8 \| 0.480 \| \| newstest2009-deueng.deu.eng \| 20.9 \| 0.487 \| \| newstest2009-fraeng.fra.eng \| 25.0 \| 0.523 \| \| newstest2009-huneng.hun.eng \| 14.7 \| 0.425 \| \| newstest2009-itaeng.ita.eng \| 27.6 \| 0.542 \| \| newstest2009-spaeng.spa.eng \| 25.7 \| 0.530 \| \| newstest2010-ceseng.ces.eng \| 20.6 \| 0.491 \| \| newstest2010-deueng.deu.eng \| 23.4 \| 0.517 \| \| newstest2010-fraeng.fra.eng \| 26.1 \| 0.537 \| \| newstest2010-spaeng.spa.eng \| 29.1 \| 0.561 \| \| newstest2011-ceseng.ces.eng \| 21.0 \| 0.489 \| \| newstest2011-deueng.deu.eng \| 21.3 \| 0.494 \| \| newstest2011-fraeng.fra.eng \| 26.8 \| 0.546 \| \| newstest2011-spaeng.spa.eng \| 28.2 \| 0.549 \| \| newstest2012-ceseng.ces.eng \| 20.5 \| 0.485 \| \| newstest2012-deueng.deu.eng \| 22.3 \| 0.503 \| \| newstest2012-fraeng.fra.eng \| 27.5 \| 0.545 \| \| newstest2012-ruseng.rus.eng \| 26.6 \| 0.532 \| \| newstest2012-spaeng.spa.eng \| 30.3 \| 0.567 \| \| newstest2013-ceseng.ces.eng \| 22.5 \| 0.498 \| \| newstest2013-deueng.deu.eng \| 25.0 \| 0.518 \| \| newstest2013-fraeng.fra.eng \| 27.4 \| 0.537 \| \| newstest2013-ruseng.rus.eng \| 21.6 \| 0.484 \| \| newstest2013-spaeng.spa.eng \| 28.4 \| 0.555 \| \| newstest2014-csen-ceseng.ces.eng \| 24.0 \| 0.517 \| \| newstest2014-deen-deueng.deu.eng \| 24.1 \| 0.511 \| \| newstest2014-fren-fraeng.fra.eng \| 29.1 \| 0.563 \| \| newstest2014-hien-hineng.hin.eng \| 14.0 \| 0.414 \| \| newstest2014-ruen-ruseng.rus.eng \| 24.0 \| 0.521 \| \| newstest2015-encs-ceseng.ces.eng \| 21.9 \| 0.481 \| \| newstest2015-ende-deueng.deu.eng \| 25.5 \| 0.519 \| \| newstest2015-enfi-fineng.fin.eng \| 17.4 \| 0.441 \| \| newstest2015-enru-ruseng.rus.eng \| 22.4 \| 0.494 \| \| newstest2016-encs-ceseng.ces.eng \| 23.0 \| 0.500 \| \| newstest2016-ende-deueng.deu.eng \| 30.1 \| 0.560 \| \| newstest2016-enfi-fineng.fin.eng \| 18.5 \| 0.461 \| \| newstest2016-enro-roneng.ron.eng \| 29.6 \| 0.562 \| \| newstest2016-enru-ruseng.rus.eng \| 22.0 \| 0.495 \| \| newstest2016-entr-tureng.tur.eng \| 14.8 \| 0.415 \| \| newstest2017-encs-ceseng.ces.eng \| 20.2 \| 0.475 \| \| newstest2017-ende-deueng.deu.eng \| 26.0 \| 0.523 \| \| newstest2017-enfi-fineng.fin.eng \| 19.6 \| 0.465 \| \| newstest2017-enlv-laveng.lav.eng \| 16.2 \| 0.454 \| \| newstest2017-enru-ruseng.rus.eng \| 24.2 \| 0.510 \| \| newstest2017-entr-tureng.tur.eng \| 15.0 \| 0.412 \| \| newstest2017-enzh-zhoeng.zho.eng \| 13.7 \| 0.412 \| \| newstest2018-encs-ceseng.ces.eng \| 21.2 \| 0.486 \| \| newstest2018-ende-deueng.deu.eng \| 31.5 \| 0.564 \| \| newstest2018-enet-esteng.est.eng \| 19.7 \| 0.473 \| \| newstest2018-enfi-fineng.fin.eng \| 15.1 \| 0.418 \| \| newstest2018-enru-ruseng.rus.eng \| 21.3 \| 0.490 \| \| newstest2018-entr-tureng.tur.eng \| 15.4 \| 0.421 \| \| newstest2018-enzh-zhoeng.zho.eng \| 12.9 \| 0.408 \| \| newstest2019-deen-deueng.deu.eng \| 27.0 \| 0.529 \| \| newstest2019-fien-fineng.fin.eng \| 17.2 \| 0.438 \| \| newstest2019-guen-gujeng.guj.eng \| 9.0 \| 0.342 \| \| newstest2019-lten-liteng.lit.eng \| 22.6 \| 0.512 \| \| newstest2019-ruen-ruseng.rus.eng \| 24.1 \| 0.503 \| \| newstest2019-zhen-zhoeng.zho.eng \| 13.9 \| 0.427 \| \| newstestB2016-enfi-fineng.fin.eng \| 15.2 \| 0.428 \| \| newstestB2017-enfi-fineng.fin.eng \| 16.8 \| 0.442 \| \| newstestB2017-fien-fineng.fin.eng \| 16.8 \| 0.442 \| \| Tatoeba-test.abk-eng.abk.eng \| 2.4 \| 0.190 \| \| Tatoeba-test.ady-eng.ady.eng \| 1.1 \| 0.111 \| \| Tatoeba-test.afh-eng.afh.eng \| 1.7 \| 0.108 \| \| Tatoeba-test.afr-eng.afr.eng \| 53.0 \| 0.672 \| \| Tatoeba-test.akl-eng.akl.eng \| 5.9 \| 0.239 \| \| Tatoeba-test.amh-eng.amh.eng \| 25.6 \| 0.464 \| \| Tatoeba-test.ang-eng.ang.eng \| 11.7 \| 0.289 \| \| Tatoeba-test.ara-eng.ara.eng \| 26.4 \| 0.443 \| \| Tatoeba-test.arg-eng.arg.eng \| 35.9 \| 0.473 \| \| Tatoeba-test.asm-eng.asm.eng \| 19.8 \| 0.365 \| \| Tatoeba-test.ast-eng.ast.eng \| 31.8 \| 0.467 \| \| Tatoeba-test.avk-eng.avk.eng \| 0.4 \| 0.119 \| \| Tatoeba-test.awa-eng.awa.eng \| 9.7 \| 0.271 \| \| Tatoeba-test.aze-eng.aze.eng \| 37.0 \| 0.542 \| \| Tatoeba-test.bak-eng.bak.eng \| 13.9 \| 0.395 \| \| Tatoeba-test.bam-eng.bam.eng \| 2.2 \| 0.094 \| \| Tatoeba-test.bel-eng.bel.eng \| 36.8 \| 0.549 \| \| Tatoeba-test.ben-eng.ben.eng \| 39.7 \| 0.546 \| \| Tatoeba-test.bho-eng.bho.eng \| 33.6 \| 0.540 \| \| Tatoeba-test.bod-eng.bod.eng \| 1.1 \| 0.147 \| \| Tatoeba-test.bre-eng.bre.eng \| 14.2 \| 0.303 \| \| Tatoeba-test.brx-eng.brx.eng \| 1.7 \| 0.130 \| \| Tatoeba-test.bul-eng.bul.eng \| 46.0 \| 0.621 \| \| Tatoeba-test.cat-eng.cat.eng \| 46.6 \| 0.636 \| \| Tatoeba-test.ceb-eng.ceb.eng \| 17.4 \| 0.347 \| \| Tatoeba-test.ces-eng.ces.eng \| 41.3 \| 0.586 \| \| Tatoeba-test.cha-eng.cha.eng \| 7.9 \| 0.232 \| \| Tatoeba-test.che-eng.che.eng \| 0.7 \| 0.104 \| \| Tatoeba-test.chm-eng.chm.eng \| 7.3 \| 0.261 \| \| Tatoeba-test.chr-eng.chr.eng \| 8.8 \| 0.244 \| \| Tatoeba-test.chv-eng.chv.eng \| 11.0 \| 0.319 \| \| Tatoeba-test.cor-eng.cor.eng \| 5.4 \| 0.204 \| \| Tatoeba-test.cos-eng.cos.eng \| 58.2 \| 0.643 \| \| Tatoeba-test.crh-eng.crh.eng \| 26.3 \| 0.399 \| \| Tatoeba-test.csb-eng.csb.eng \| 18.8 \| 0.389 \| \| Tatoeba-test.cym-eng.cym.eng \| 23.4 \| 0.407 \| \| Tatoeba-test.dan-eng.dan.eng \| 50.5 \| 0.659 \| \| Tatoeba-test.deu-eng.deu.eng \| 39.6 \| 0.579 \| \| Tatoeba-test.dsb-eng.dsb.eng \| 24.3 \| 0.449 \| \| Tatoeba-test.dtp-eng.dtp.eng \| 1.0 \| 0.149 \| \| Tatoeba-test.dws-eng.dws.eng \| 1.6 \| 0.061 \| \| Tatoeba-test.egl-eng.egl.eng \| 7.6 \| 0.236 \| \| Tatoeba-test.ell-eng.ell.eng \| 55.4 \| 0.682 \| \| Tatoeba-test.enm-eng.enm.eng \| 28.0 \| 0.489 \| \| Tatoeba-test.epo-eng.epo.eng \| 41.8 \| 0.591 \| \| Tatoeba-test.est-eng.est.eng \| 41.5 \| 0.581 \| \| Tatoeba-test.eus-eng.eus.eng \| 37.8 \| 0.557 \| \| Tatoeba-test.ewe-eng.ewe.eng \| 10.7 \| 0.262 \| \| Tatoeba-test.ext-eng.ext.eng \| 25.5 \| 0.405 \| \| Tatoeba-test.fao-eng.fao.eng \| 28.7 \| 0.469 \| \| Tatoeba-test.fas-eng.fas.eng \| 7.5 \| 0.281 \| \| Tatoeba-test.fij-eng.fij.eng \| 24.2 \| 0.320 \| \| Tatoeba-test.fin-eng.fin.eng \| 35.8 \| 0.534 \| \| Tatoeba-test.fkv-eng.fkv.eng \| 15.5 \| 0.434 \| \| Tatoeba-test.fra-eng.fra.eng \| 45.1 \| 0.618 \| \| Tatoeba-test.frm-eng.frm.eng \| 29.6 \| 0.427 \| \| Tatoeba-test.frr-eng.frr.eng \| 5.5 \| 0.138 \| \| Tatoeba-test.fry-eng.fry.eng \| 25.3 \| 0.455 \| \| Tatoeba-test.ful-eng.ful.eng \| 1.1 \| 0.127 \| \| Tatoeba-test.gcf-eng.gcf.eng \| 16.0 \| 0.315 \| \| Tatoeba-test.gil-eng.gil.eng \| 46.7 \| 0.587 \| \| Tatoeba-test.gla-eng.gla.eng \| 20.2 \| 0.358 \| \| Tatoeba-test.gle-eng.gle.eng \| 43.9 \| 0.592 \| \| Tatoeba-test.glg-eng.glg.eng \| 45.1 \| 0.623 \| \| Tatoeba-test.glv-eng.glv.eng \| 3.3 \| 0.119 \| \| Tatoeba-test.gos-eng.gos.eng \| 20.1 \| 0.364 \| \| Tatoeba-test.got-eng.got.eng \| 0.1 \| 0.041 \| \| Tatoeba-test.grc-eng.grc.eng \| 2.1 \| 0.137 \| \| Tatoeba-test.grn-eng.grn.eng \| 1.7 \| 0.152 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 18.2 \| 0.334 \| \| Tatoeba-test.guj-eng.guj.eng \| 21.7 \| 0.373 \| \| Tatoeba-test.hat-eng.hat.eng \| 34.5 \| 0.502 \| \| Tatoeba-test.hau-eng.hau.eng \| 10.5 \| 0.295 \| \| Tatoeba-test.haw-eng.haw.eng \| 2.8 \| 0.160 \| \| Tatoeba-test.hbs-eng.hbs.eng \| 46.7 \| 0.623 \| \| Tatoeba-test.heb-eng.heb.eng \| 33.0 \| 0.492 \| \| Tatoeba-test.hif-eng.hif.eng \| 17.0 \| 0.391 \| \| Tatoeba-test.hil-eng.hil.eng \| 16.0 \| 0.339 \| \| Tatoeba-test.hin-eng.hin.eng \| 36.4 \| 0.533 \| \| Tatoeba-test.hmn-eng.hmn.eng \| 0.4 \| 0.131 \| \| Tatoeba-test.hoc-eng.hoc.eng \| 0.7 \| 0.132 \| \| Tatoeba-test.hsb-eng.hsb.eng \| 41.9 \| 0.551 \| \| Tatoeba-test.hun-eng.hun.eng \| 33.2 \| 0.510 \| \| Tatoeba-test.hye-eng.hye.eng \| 32.2 \| 0.487 \| \| Tatoeba-test.iba-eng.iba.eng \| 9.4 \| 0.278 \| \| Tatoeba-test.ibo-eng.ibo.eng \| 5.8 \| 0.200 \| \| Tatoeba-test.ido-eng.ido.eng \| 31.7 \| 0.503 \| \| Tatoeba-test.iku-eng.iku.eng \| 9.1 \| 0.164 \| \| Tatoeba-test.ile-eng.ile.eng \| 42.2 \| 0.595 \| \| Tatoeba-test.ilo-eng.ilo.eng \| 29.7 \| 0.485 \| \| Tatoeba-test.ina-eng.ina.eng \| 42.1 \| 0.607 \| \| Tatoeba-test.isl-eng.isl.eng \| 35.7 \| 0.527 \| \| Tatoeba-test.ita-eng.ita.eng \| 54.8 \| 0.686 \| \| Tatoeba-test.izh-eng.izh.eng \| 28.3 \| 0.526 \| \| Tatoeba-test.jav-eng.jav.eng \| 10.0 \| 0.282 \| \| Tatoeba-test.jbo-eng.jbo.eng \| 0.3 \| 0.115 \| \| Tatoeba-test.jdt-eng.jdt.eng \| 5.3 \| 0.140 \| \| Tatoeba-test.jpn-eng.jpn.eng \| 18.8 \| 0.387 \| \| Tatoeba-test.kab-eng.kab.eng \| 3.9 \| 0.205 \| \| Tatoeba-test.kal-eng.kal.eng \| 16.9 \| 0.329 \| \| Tatoeba-test.kan-eng.kan.eng \| 16.2 \| 0.374 \| \| Tatoeba-test.kat-eng.kat.eng \| 31.1 \| 0.493 \| \| Tatoeba-test.kaz-eng.kaz.eng \| 24.5 \| 0.437 \| \| Tatoeba-test.kek-eng.kek.eng \| 7.4 \| 0.192 \| \| Tatoeba-test.kha-eng.kha.eng \| 1.0 \| 0.154 \| \| Tatoeba-test.khm-eng.khm.eng \| 12.2 \| 0.290 \| \| Tatoeba-test.kin-eng.kin.eng \| 22.5 \| 0.355 \| \| Tatoeba-test.kir-eng.kir.eng \| 27.2 \| 0.470 \| \| Tatoeba-test.kjh-eng.kjh.eng \| 2.1 \| 0.129 \| \| Tatoeba-test.kok-eng.kok.eng \| 4.5 \| 0.259 \| \| Tatoeba-test.kom-eng.kom.eng \| 1.4 \| 0.099 \| \| Tatoeba-test.krl-eng.krl.eng \| 26.1 \| 0.387 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 5.5 \| 0.256 \| \| Tatoeba-test.kum-eng.kum.eng \| 9.3 \| 0.288 \| \| Tatoeba-test.kur-eng.kur.eng \| 9.6 \| 0.208 \| \| Tatoeba-test.lad-eng.lad.eng \| 30.1 \| 0.475 \| \| Tatoeba-test.lah-eng.lah.eng \| 11.6 \| 0.284 \| \| Tatoeba-test.lao-eng.lao.eng \| 4.5 \| 0.214 \| \| Tatoeba-test.lat-eng.lat.eng \| 21.5 \| 0.402 \| \| Tatoeba-test.lav-eng.lav.eng \| 40.2 \| 0.577 \| \| Tatoeba-test.ldn-eng.ldn.eng \| 0.8 \| 0.115 \| \| Tatoeba-test.lfn-eng.lfn.eng \| 23.0 \| 0.433 \| \| Tatoeba-test.lij-eng.lij.eng \| 9.3 \| 0.287 \| \| Tatoeba-test.lin-eng.lin.eng \| 2.4 \| 0.196 \| \| Tatoeba-test.lit-eng.lit.eng \| 44.0 \| 0.597 \| \| Tatoeba-test.liv-eng.liv.eng \| 1.6 \| 0.115 \| \| Tatoeba-test.lkt-eng.lkt.eng \| 2.0 \| 0.113 \| \| Tatoeba-test.lld-eng.lld.eng \| 18.3 \| 0.312 \| \| Tatoeba-test.lmo-eng.lmo.eng \| 25.4 \| 0.395 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 35.9 \| 0.509 \| \| Tatoeba-test.lug-eng.lug.eng \| 5.1 \| 0.357 \| \| Tatoeba-test.mad-eng.mad.eng \| 2.8 \| 0.123 \| \| Tatoeba-test.mah-eng.mah.eng \| 5.7 \| 0.175 \| \| Tatoeba-test.mai-eng.mai.eng \| 56.3 \| 0.703 \| \| Tatoeba-test.mal-eng.mal.eng \| 37.5 \| 0.534 \| \| Tatoeba-test.mar-eng.mar.eng \| 22.8 \| 0.470 \| \| Tatoeba-test.mdf-eng.mdf.eng \| 2.0 \| 0.110 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 59.2 \| 0.764 \| \| Tatoeba-test.mic-eng.mic.eng \| 9.0 \| 0.199 \| \| Tatoeba-test.mkd-eng.mkd.eng \| 44.3 \| 0.593 \| \| Tatoeba-test.mlg-eng.mlg.eng \| 31.9 \| 0.424 \| \| Tatoeba-test.mlt-eng.mlt.eng \| 38.6 \| 0.540 \| \| Tatoeba-test.mnw-eng.mnw.eng \| 2.5 \| 0.101 \| \| Tatoeba-test.moh-eng.moh.eng \| 0.3 \| 0.110 \| \| Tatoeba-test.mon-eng.mon.eng \| 13.5 \| 0.334 \| \| Tatoeba-test.mri-eng.mri.eng \| 8.5 \| 0.260 \| \| Tatoeba-test.msa-eng.msa.eng \| 33.9 \| 0.520 \| \| Tatoeba-test.multi.eng \| 34.7 \| 0.518 \| \| Tatoeba-test.mwl-eng.mwl.eng \| 37.4 \| 0.630 \| \| Tatoeba-test.mya-eng.mya.eng \| 15.5 \| 0.335 \| \| Tatoeba-test.myv-eng.myv.eng \| 0.8 \| 0.118 \| \| Tatoeba-test.nau-eng.nau.eng \| 9.0 \| 0.186 \| \| Tatoeba-test.nav-eng.nav.eng \| 1.3 \| 0.144 \| \| Tatoeba-test.nds-eng.nds.eng \| 30.7 \| 0.495 \| \| Tatoeba-test.nep-eng.nep.eng \| 3.5 \| 0.168 \| \| Tatoeba-test.niu-eng.niu.eng \| 42.7 \| 0.492 \| \| Tatoeba-test.nld-eng.nld.eng \| 47.9 \| 0.640 \| \| Tatoeba-test.nog-eng.nog.eng \| 12.7 \| 0.284 \| \| Tatoeba-test.non-eng.non.eng \| 43.8 \| 0.586 \| \| Tatoeba-test.nor-eng.nor.eng \| 45.5 \| 0.619 \| \| Tatoeba-test.nov-eng.nov.eng \| 26.9 \| 0.472 \| \| Tatoeba-test.nya-eng.nya.eng \| 33.2 \| 0.456 \| \| Tatoeba-test.oci-eng.oci.eng \| 17.9 \| 0.370 \| \| Tatoeba-test.ori-eng.ori.eng \| 14.6 \| 0.305 \| \| Tatoeba-test.orv-eng.orv.eng \| 11.0 \| 0.283 \| \| Tatoeba-test.oss-eng.oss.eng \| 4.1 \| 0.211 \| \| Tatoeba-test.ota-eng.ota.eng \| 4.1 \| 0.216 \| \| Tatoeba-test.pag-eng.pag.eng \| 24.3 \| 0.468 \| \| Tatoeba-test.pan-eng.pan.eng \| 16.4 \| 0.358 \| \| Tatoeba-test.pap-eng.pap.eng \| 53.2 \| 0.628 \| \| Tatoeba-test.pau-eng.pau.eng \| 3.7 \| 0.173 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 45.3 \| 0.569 \| \| Tatoeba-test.pms-eng.pms.eng \| 14.0 \| 0.345 \| \| Tatoeba-test.pol-eng.pol.eng \| 41.7 \| 0.588 \| \| Tatoeba-test.por-eng.por.eng \| 51.4 \| 0.669 \| \| Tatoeba-test.ppl-eng.ppl.eng \| 0.4 \| 0.134 \| \| Tatoeba-test.prg-eng.prg.eng \| 4.1 \| 0.198 \| \| Tatoeba-test.pus-eng.pus.eng \| 6.7 \| 0.233 \| \| Tatoeba-test.quc-eng.quc.eng \| 3.5 \| 0.091 \| \| Tatoeba-test.qya-eng.qya.eng \| 0.2 \| 0.090 \| \| Tatoeba-test.rap-eng.rap.eng \| 17.5 \| 0.230 \| \| Tatoeba-test.rif-eng.rif.eng \| 4.2 \| 0.164 \| \| Tatoeba-test.roh-eng.roh.eng \| 24.6 \| 0.464 \| \| Tatoeba-test.rom-eng.rom.eng \| 3.4 \| 0.212 \| \| Tatoeba-test.ron-eng.ron.eng \| 45.2 \| 0.620 \| \| Tatoeba-test.rue-eng.rue.eng \| 21.4 \| 0.390 \| \| Tatoeba-test.run-eng.run.eng \| 24.5 \| 0.392 \| \| Tatoeba-test.rus-eng.rus.eng \| 42.7 \| 0.591 \| \| Tatoeba-test.sag-eng.sag.eng \| 3.4 \| 0.187 \| \| Tatoeba-test.sah-eng.sah.eng \| 5.0 \| 0.177 \| \| Tatoeba-test.san-eng.san.eng \| 2.0 \| 0.172 \| \| Tatoeba-test.scn-eng.scn.eng \| 35.8 \| 0.410 \| \| Tatoeba-test.sco-eng.sco.eng \| 34.6 \| 0.520 \| \| Tatoeba-test.sgs-eng.sgs.eng \| 21.8 \| 0.299 \| \| Tatoeba-test.shs-eng.shs.eng \| 1.8 \| 0.122 \| \| Tatoeba-test.shy-eng.shy.eng \| 1.4 \| 0.104 \| \| Tatoeba-test.sin-eng.sin.eng \| 20.6 \| 0.429 \| \| Tatoeba-test.sjn-eng.sjn.eng \| 1.2 \| 0.095 \| \| Tatoeba-test.slv-eng.slv.eng \| 37.0 \| 0.545 \| \| Tatoeba-test.sma-eng.sma.eng \| 4.4 \| 0.147 \| \| Tatoeba-test.sme-eng.sme.eng \| 8.9 \| 0.229 \| \| Tatoeba-test.smo-eng.smo.eng \| 37.7 \| 0.483 \| \| Tatoeba-test.sna-eng.sna.eng \| 18.0 \| 0.359 \| \| Tatoeba-test.snd-eng.snd.eng \| 28.1 \| 0.444 \| \| Tatoeba-test.som-eng.som.eng \| 23.6 \| 0.472 \| \| Tatoeba-test.spa-eng.spa.eng \| 47.9 \| 0.645 \| \| Tatoeba-test.sqi-eng.sqi.eng \| 46.9 \| 0.634 \| \| Tatoeba-test.stq-eng.stq.eng \| 8.1 \| 0.379 \| \| Tatoeba-test.sun-eng.sun.eng \| 23.8 \| 0.369 \| \| Tatoeba-test.swa-eng.swa.eng \| 6.5 \| 0.193 \| \| Tatoeba-test.swe-eng.swe.eng \| 51.4 \| 0.655 \| \| Tatoeba-test.swg-eng.swg.eng \| 18.5 \| 0.342 \| \| Tatoeba-test.tah-eng.tah.eng \| 25.6 \| 0.249 \| \| Tatoeba-test.tam-eng.tam.eng \| 29.1 \| 0.437 \| \| Tatoeba-test.tat-eng.tat.eng \| 12.9 \| 0.327 \| \| Tatoeba-test.tel-eng.tel.eng \| 21.2 \| 0.386 \| \| Tatoeba-test.tet-eng.tet.eng \| 9.2 \| 0.215 \| \| Tatoeba-test.tgk-eng.tgk.eng \| 12.7 \| 0.374 \| \| Tatoeba-test.tha-eng.tha.eng \| 36.3 \| 0.531 \| \| Tatoeba-test.tir-eng.tir.eng \| 9.1 \| 0.267 \| \| Tatoeba-test.tlh-eng.tlh.eng \| 0.2 \| 0.084 \| \| Tatoeba-test.tly-eng.tly.eng \| 2.1 \| 0.128 \| \| Tatoeba-test.toi-eng.toi.eng \| 5.3 \| 0.150 \| \| Tatoeba-test.ton-eng.ton.eng \| 39.5 \| 0.473 \| \| Tatoeba-test.tpw-eng.tpw.eng \| 1.5 \| 0.160 \| \| Tatoeba-test.tso-eng.tso.eng \| 44.7 \| 0.526 \| \| Tatoeba-test.tuk-eng.tuk.eng \| 18.6 \| 0.401 \| \| Tatoeba-test.tur-eng.tur.eng \| 40.5 \| 0.573 \| \| Tatoeba-test.tvl-eng.tvl.eng \| 55.0 \| 0.593 \| \| Tatoeba-test.tyv-eng.tyv.eng \| 19.1 \| 0.477 \| \| Tatoeba-test.tzl-eng.tzl.eng \| 17.7 \| 0.333 \| \| Tatoeba-test.udm-eng.udm.eng \| 3.4 \| 0.217 \| \| Tatoeba-test.uig-eng.uig.eng \| 11.4 \| 0.289 \| \| Tatoeba-test.ukr-eng.ukr.eng \| 43.1 \| 0.595 \| \| Tatoeba-test.umb-eng.umb.eng \| 9.2 \| 0.260 \| \| Tatoeba-test.urd-eng.urd.eng \| 23.2 \| 0.426 \| \| Tatoeba-test.uzb-eng.uzb.eng \| 19.0 \| 0.342 \| \| Tatoeba-test.vec-eng.vec.eng \| 41.1 \| 0.409 \| \| Tatoeba-test.vie-eng.vie.eng \| 30.6 \| 0.481 \| \| Tatoeba-test.vol-eng.vol.eng \| 1.8 \| 0.143 \| \| Tatoeba-test.war-eng.war.eng \| 15.9 \| 0.352 \| \| Tatoeba-test.wln-eng.wln.eng \| 12.6 \| 0.291 \| \| Tatoeba-test.wol-eng.wol.eng \| 4.4 \| 0.138 \| \| Tatoeba-test.xal-eng.xal.eng \| 0.9 \| 0.153 \| \| Tatoeba-test.xho-eng.xho.eng \| 35.4 \| 0.513 \| \| Tatoeba-test.yid-eng.yid.eng \| 19.4 \| 0.387 \| \| Tatoeba-test.yor-eng.yor.eng \| 19.3 \| 0.327 \| \| Tatoeba-test.zho-eng.zho.eng \| 25.8 \| 0.448 \| \| Tatoeba-test.zul-eng.zul.eng \| 40.9 \| 0.567 \| \| Tatoeba-test.zza-eng.zza.eng \| 1.6 \| 0.125 \| ### System Info: - hf_name: mul-eng - source_languages: mul - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mul-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en'] - src_constituents: {'sjn_Latn', 'cat', 'nan', 'spa', 'ile_Latn', 'pap', 'mwl', 'uzb_Latn', 'mww', 'hil', 'lij', 'avk_Latn', 'lad_Latn', 'lat_Latn', 'bos_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi_Latn', 'awa', 'swg', 'zsm_Latn', 'zho_Hant', 'gcf_Latn', 'uzb_Cyrl', 'isl', 'lfn_Latn', 'shs_Latn', 'nov_Latn', 'bho', 'ltz', 'lzh', 'kur_Latn', 'sun', 'arg', 'pes_Thaa', 'sqi', 'uig_Arab', 'csb_Latn', 'fra', 'hat', 'liv_Latn', 'non_Latn', 'sco', 'cmn_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul_Latn', 'amh', 'lfn_Cyrl', 'eus', 'fkv_Latn', 'tur', 'pus', 'afr', 'brx_Latn', 'nya', 'acm', 'ota_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho_Hans', 'tmw_Latn', 'kjh', 'ota_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh_Hans', 'ara', 'tly_Latn', 'lug', 'brx', 'bul', 'bel', 'vol_Latn', 'kat', 'gan', 'got_Goth', 'vro', 'ext', 'afh_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif_Latn', 'cjy_Hant', 'bre', 'ceb', 'mah', 'nob_Hebr', 'crh_Latn', 'prg_Latn', 'khm', 'ang_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie_Hani', 'arz', 'yue', 'kha', 'san_Deva', 'jbo_Latn', 'gos', 'hau_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig_Cyrl', 'fao', 'mnw', 'zho', 'orv_Cyrl', 'iba', 'bel_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc_Grek', 'tpw_Latn', 'oci', 'mfe', 'sna', 'kir_Cyrl', 'tat_Latn', 'gom', 'ido_Latn', 'sgs', 'pau', 'tgk_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp_Latn', 'wuu', 'dtp', 'jbo_Cyrl', 'tet', 'bod', 'yue_Hans', 'zlm_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif_Latn', 'vie', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina_Latn', 'cjy_Hans', 'jdt_Cyrl', 'gsw', 'glv', 'khm_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd_Arab', 'arq', 'mri', 'kur_Arab', 'por', 'hin', 'shy_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue_Hant', 'kpv', 'tam', 'est', 'frm_Latn', 'hoc_Latn', 'bam_Latn', 'kek_Latn', 'ksh', 'tlh_Latn', 'ltg', 'pan_Guru', 'hnj_Latn', 'cor', 'gle', 'swe', 'lin', 'qya_Latn', 'kum', 'mad', 'cmn_Hant', 'fuv', 'nau', 'mon', 'akl_Latn', 'guj', 'kaz_Latn', 'wln', 'tuk_Latn', 'jav_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws_Latn', 'urd', 'stq', 'tat_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld_Latn', 'tzl_Latn', 'mdf', 'ike_Latn', 'ces', 'ldn_Latn', 'egl', 'heb', 'vec', 'zul', 'max_Latn', 'pes_Latn', 'yid', 'mal', 'nds'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.test.txt - src_alpha3: mul - tgt_alpha3: eng - short_pair: mul-en - chrF2_score: 0.518 - bleu: 34.7 - brevity_penalty: 1.0 - ref_len: 72346.0 - src_name: Multiple languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: mul - tgt_alpha2: en - prefer_old: False - long_pair: mul-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-mul-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #eo #ro #fy #cy #is #lb #su #an #sq #fr #ht #rm #cv #ig #am #eu #tr #ps #af #ny #ch #uk #sl #lt #tk #sg #ar #lg #bg #be #ka #gd #ja #si #br #mh #km #th #ty #rw #te #mk #or #wo #kl #mr #ru #yo #hu #fo #zh #ti #co #ee #oc #sn #mt #ts #pl #gl #nb #bn #tt #bo #lo #id #gn #nv #hy #kn #to #io #so #vi #da #fj #gv #sm #nl #mi #pt #hi #se #as #ta #et #kw #ga #sv #ln #na #mn #gu #wa #lv #jv #el #my #ba #it #hr #ur #ce #nn #fi #mg #rn #xh #ab #de #cs #he #zu #yi #ml #mul #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### mul-eng * source group: Multiple languages * target group: English * OPUS readme: mul-eng * model: transformer * source language(s): abk acm ady afb afh\_Latn afr akl\_Latn aln amh ang\_Latn apc ara arg arq ary arz asm ast avk\_Latn awa aze\_Latn bak bam\_Latn bel bel\_Latn ben bho bod bos\_Latn bre brx brx\_Latn bul bul\_Latn cat ceb ces cha che chr chv cjy\_Hans cjy\_Hant cmn cmn\_Hans cmn\_Hant cor cos crh crh\_Latn csb\_Latn cym dan deu dsb dtp dws\_Latn egl ell enm\_Latn epo est eus ewe ext fao fij fin fkv\_Latn fra frm\_Latn frr fry fuc fuv gan gcf\_Latn gil gla gle glg glv gom gos got\_Goth grc\_Grek grn gsw guj hat hau\_Latn haw heb hif\_Latn hil hin hnj\_Latn hoc hoc\_Latn hrv hsb hun hye iba ibo ido ido\_Latn ike\_Latn ile\_Latn ilo ina\_Latn ind isl ita izh jav jav\_Java jbo jbo\_Cyrl jbo\_Latn jdt\_Cyrl jpn kab kal kan kat kaz\_Cyrl kaz\_Latn kek\_Latn kha khm khm\_Latn kin kir\_Cyrl kjh kpv krl ksh kum kur\_Arab kur\_Latn lad lad\_Latn lao lat\_Latn lav ldn\_Latn lfn\_Cyrl lfn\_Latn lij lin lit liv\_Latn lkt lld\_Latn lmo ltg ltz lug lzh lzh\_Hans mad mah mai mal mar max\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\_Hebr nog non\_Latn nov\_Latn npi nya oci ori orv\_Cyrl oss ota\_Arab ota\_Latn pag pan\_Guru pap pau pdc pes pes\_Latn pes\_Thaa pms pnb pol por ppl\_Latn prg\_Latn pus quc qya qya\_Latn rap rif\_Latn roh rom ron rue run rus sag sah san\_Deva scn sco sgs shs\_Latn shy\_Latn sin sjn\_Latn slv sma sme smo sna snd\_Arab som spa sqi srp\_Cyrl srp\_Latn stq sun swe swg swh tah tam tat tat\_Arab tat\_Latn tel tet tgk\_Cyrl tha tir tlh\_Latn tly\_Latn tmw\_Latn toi\_Latn ton tpw\_Latn tso tuk tuk\_Latn tur tvl tyv tzl tzl\_Latn udm uig\_Arab uig\_Cyrl ukr umb urd uzb\_Cyrl uzb\_Latn vec vie vie\_Hani vol\_Latn vro war wln wol wuu xal xho yid yor yue yue\_Hans yue\_Hant zho zho\_Hans zho\_Hant zlm\_Latn zsm\_Latn zul zza * 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: 8.5, chr-F: 0.341 testset: URL, BLEU: 16.8, chr-F: 0.441 testset: URL, BLEU: 31.3, chr-F: 0.580 testset: URL, BLEU: 16.4, chr-F: 0.422 testset: URL, BLEU: 21.3, chr-F: 0.502 testset: URL, BLEU: 12.7, chr-F: 0.409 testset: URL, BLEU: 19.8, chr-F: 0.467 testset: URL, BLEU: 13.3, chr-F: 0.385 testset: URL, BLEU: 19.9, chr-F: 0.482 testset: URL, BLEU: 26.7, chr-F: 0.520 testset: URL, BLEU: 29.8, chr-F: 0.541 testset: URL, BLEU: 21.1, chr-F: 0.487 testset: URL, BLEU: 22.6, chr-F: 0.499 testset: URL, BLEU: 25.8, chr-F: 0.530 testset: URL, BLEU: 15.1, chr-F: 0.430 testset: URL, BLEU: 29.4, chr-F: 0.555 testset: URL, BLEU: 26.1, chr-F: 0.534 testset: URL, BLEU: 21.6, chr-F: 0.491 testset: URL, BLEU: 22.3, chr-F: 0.502 testset: URL, BLEU: 23.6, chr-F: 0.514 testset: URL, BLEU: 19.8, chr-F: 0.480 testset: URL, BLEU: 20.9, chr-F: 0.487 testset: URL, BLEU: 25.0, chr-F: 0.523 testset: URL, BLEU: 14.7, chr-F: 0.425 testset: URL, BLEU: 27.6, chr-F: 0.542 testset: URL, BLEU: 25.7, chr-F: 0.530 testset: URL, BLEU: 20.6, chr-F: 0.491 testset: URL, BLEU: 23.4, chr-F: 0.517 testset: URL, BLEU: 26.1, chr-F: 0.537 testset: URL, BLEU: 29.1, chr-F: 0.561 testset: URL, BLEU: 21.0, chr-F: 0.489 testset: URL, BLEU: 21.3, chr-F: 0.494 testset: URL, BLEU: 26.8, chr-F: 0.546 testset: URL, BLEU: 28.2, chr-F: 0.549 testset: URL, BLEU: 20.5, chr-F: 0.485 testset: URL, BLEU: 22.3, chr-F: 0.503 testset: URL, BLEU: 27.5, chr-F: 0.545 testset: URL, BLEU: 26.6, chr-F: 0.532 testset: URL, BLEU: 30.3, chr-F: 0.567 testset: URL, BLEU: 22.5, chr-F: 0.498 testset: URL, BLEU: 25.0, chr-F: 0.518 testset: URL, BLEU: 27.4, chr-F: 0.537 testset: URL, BLEU: 21.6, chr-F: 0.484 testset: URL, BLEU: 28.4, chr-F: 0.555 testset: URL, BLEU: 24.0, chr-F: 0.517 testset: URL, BLEU: 24.1, chr-F: 0.511 testset: URL, BLEU: 29.1, chr-F: 0.563 testset: URL, BLEU: 14.0, chr-F: 0.414 testset: URL, BLEU: 24.0, chr-F: 0.521 testset: URL, BLEU: 21.9, chr-F: 0.481 testset: URL, BLEU: 25.5, chr-F: 0.519 testset: URL, BLEU: 17.4, chr-F: 0.441 testset: URL, BLEU: 22.4, chr-F: 0.494 testset: URL, BLEU: 23.0, chr-F: 0.500 testset: URL, BLEU: 30.1, chr-F: 0.560 testset: URL, BLEU: 18.5, chr-F: 0.461 testset: URL, BLEU: 29.6, chr-F: 0.562 testset: URL, BLEU: 22.0, chr-F: 0.495 testset: URL, BLEU: 14.8, chr-F: 0.415 testset: URL, BLEU: 20.2, chr-F: 0.475 testset: URL, BLEU: 26.0, chr-F: 0.523 testset: URL, BLEU: 19.6, chr-F: 0.465 testset: URL, BLEU: 16.2, chr-F: 0.454 testset: URL, BLEU: 24.2, chr-F: 0.510 testset: URL, BLEU: 15.0, chr-F: 0.412 testset: URL, BLEU: 13.7, chr-F: 0.412 testset: URL, BLEU: 21.2, chr-F: 0.486 testset: URL, BLEU: 31.5, chr-F: 0.564 testset: URL, BLEU: 19.7, chr-F: 0.473 testset: URL, BLEU: 15.1, chr-F: 0.418 testset: URL, BLEU: 21.3, chr-F: 0.490 testset: URL, BLEU: 15.4, chr-F: 0.421 testset: URL, BLEU: 12.9, chr-F: 0.408 testset: URL, BLEU: 27.0, chr-F: 0.529 testset: URL, BLEU: 17.2, chr-F: 0.438 testset: URL, BLEU: 9.0, chr-F: 0.342 testset: URL, BLEU: 22.6, chr-F: 0.512 testset: URL, BLEU: 24.1, chr-F: 0.503 testset: URL, BLEU: 13.9, chr-F: 0.427 testset: URL, BLEU: 15.2, chr-F: 0.428 testset: URL, BLEU: 16.8, chr-F: 0.442 testset: URL, BLEU: 16.8, chr-F: 0.442 testset: URL, BLEU: 2.4, chr-F: 0.190 testset: URL, BLEU: 1.1, chr-F: 0.111 testset: URL, BLEU: 1.7, chr-F: 0.108 testset: URL, BLEU: 53.0, chr-F: 0.672 testset: URL, BLEU: 5.9, chr-F: 0.239 testset: URL, BLEU: 25.6, chr-F: 0.464 testset: URL, BLEU: 11.7, chr-F: 0.289 testset: URL, BLEU: 26.4, chr-F: 0.443 testset: URL, BLEU: 35.9, chr-F: 0.473 testset: URL, BLEU: 19.8, chr-F: 0.365 testset: URL, BLEU: 31.8, chr-F: 0.467 testset: URL, BLEU: 0.4, chr-F: 0.119 testset: URL, BLEU: 9.7, chr-F: 0.271 testset: URL, BLEU: 37.0, chr-F: 0.542 testset: URL, BLEU: 13.9, chr-F: 0.395 testset: URL, BLEU: 2.2, chr-F: 0.094 testset: URL, BLEU: 36.8, chr-F: 0.549 testset: URL, BLEU: 39.7, chr-F: 0.546 testset: URL, BLEU: 33.6, chr-F: 0.540 testset: URL, BLEU: 1.1, chr-F: 0.147 testset: URL, BLEU: 14.2, chr-F: 0.303 testset: URL, BLEU: 1.7, chr-F: 0.130 testset: URL, BLEU: 46.0, chr-F: 0.621 testset: URL, BLEU: 46.6, chr-F: 0.636 testset: URL, BLEU: 17.4, chr-F: 0.347 testset: URL, BLEU: 41.3, chr-F: 0.586 testset: URL, BLEU: 7.9, chr-F: 0.232 testset: URL, BLEU: 0.7, chr-F: 0.104 testset: URL, BLEU: 7.3, chr-F: 0.261 testset: URL, BLEU: 8.8, chr-F: 0.244 testset: URL, BLEU: 11.0, chr-F: 0.319 testset: URL, BLEU: 5.4, chr-F: 0.204 testset: URL, BLEU: 58.2, chr-F: 0.643 testset: URL, BLEU: 26.3, chr-F: 0.399 testset: URL, BLEU: 18.8, chr-F: 0.389 testset: URL, BLEU: 23.4, chr-F: 0.407 testset: URL, BLEU: 50.5, chr-F: 0.659 testset: URL, BLEU: 39.6, chr-F: 0.579 testset: URL, BLEU: 24.3, chr-F: 0.449 testset: URL, BLEU: 1.0, chr-F: 0.149 testset: URL, BLEU: 1.6, chr-F: 0.061 testset: URL, BLEU: 7.6, chr-F: 0.236 testset: URL, BLEU: 55.4, chr-F: 0.682 testset: URL, BLEU: 28.0, chr-F: 0.489 testset: URL, BLEU: 41.8, chr-F: 0.591 testset: URL, BLEU: 41.5, chr-F: 0.581 testset: URL, BLEU: 37.8, chr-F: 0.557 testset: URL, BLEU: 10.7, chr-F: 0.262 testset: URL, BLEU: 25.5, chr-F: 0.405 testset: URL, BLEU: 28.7, chr-F: 0.469 testset: URL, BLEU: 7.5, chr-F: 0.281 testset: URL, BLEU: 24.2, chr-F: 0.320 testset: URL, BLEU: 35.8, chr-F: 0.534 testset: URL, BLEU: 15.5, chr-F: 0.434 testset: URL, BLEU: 45.1, chr-F: 0.618 testset: URL, BLEU: 29.6, chr-F: 0.427 testset: URL, BLEU: 5.5, chr-F: 0.138 testset: URL, BLEU: 25.3, chr-F: 0.455 testset: URL, BLEU: 1.1, chr-F: 0.127 testset: URL, BLEU: 16.0, chr-F: 0.315 testset: URL, BLEU: 46.7, chr-F: 0.587 testset: URL, BLEU: 20.2, chr-F: 0.358 testset: URL, BLEU: 43.9, chr-F: 0.592 testset: URL, BLEU: 45.1, chr-F: 0.623 testset: URL, BLEU: 3.3, chr-F: 0.119 testset: URL, BLEU: 20.1, chr-F: 0.364 testset: URL, BLEU: 0.1, chr-F: 0.041 testset: URL, BLEU: 2.1, chr-F: 0.137 testset: URL, BLEU: 1.7, chr-F: 0.152 testset: URL, BLEU: 18.2, chr-F: 0.334 testset: URL, BLEU: 21.7, chr-F: 0.373 testset: URL, BLEU: 34.5, chr-F: 0.502 testset: URL, BLEU: 10.5, chr-F: 0.295 testset: URL, BLEU: 2.8, chr-F: 0.160 testset: URL, BLEU: 46.7, chr-F: 0.623 testset: URL, BLEU: 33.0, chr-F: 0.492 testset: URL, BLEU: 17.0, chr-F: 0.391 testset: URL, BLEU: 16.0, chr-F: 0.339 testset: URL, BLEU: 36.4, chr-F: 0.533 testset: URL, BLEU: 0.4, chr-F: 0.131 testset: URL, BLEU: 0.7, chr-F: 0.132 testset: URL, BLEU: 41.9, chr-F: 0.551 testset: URL, BLEU: 33.2, chr-F: 0.510 testset: URL, BLEU: 32.2, chr-F: 0.487 testset: URL, BLEU: 9.4, chr-F: 0.278 testset: URL, BLEU: 5.8, chr-F: 0.200 testset: URL, BLEU: 31.7, chr-F: 0.503 testset: URL, BLEU: 9.1, chr-F: 0.164 testset: URL, BLEU: 42.2, chr-F: 0.595 testset: URL, BLEU: 29.7, chr-F: 0.485 testset: URL, BLEU: 42.1, chr-F: 0.607 testset: URL, BLEU: 35.7, chr-F: 0.527 testset: URL, BLEU: 54.8, chr-F: 0.686 testset: URL, BLEU: 28.3, chr-F: 0.526 testset: URL, BLEU: 10.0, chr-F: 0.282 testset: URL, BLEU: 0.3, chr-F: 0.115 testset: URL, BLEU: 5.3, chr-F: 0.140 testset: URL, BLEU: 18.8, chr-F: 0.387 testset: URL, BLEU: 3.9, chr-F: 0.205 testset: URL, BLEU: 16.9, chr-F: 0.329 testset: URL, BLEU: 16.2, chr-F: 0.374 testset: URL, BLEU: 31.1, chr-F: 0.493 testset: URL, BLEU: 24.5, chr-F: 0.437 testset: URL, BLEU: 7.4, chr-F: 0.192 testset: URL, BLEU: 1.0, chr-F: 0.154 testset: URL, BLEU: 12.2, chr-F: 0.290 testset: URL, BLEU: 22.5, chr-F: 0.355 testset: URL, BLEU: 27.2, chr-F: 0.470 testset: URL, BLEU: 2.1, chr-F: 0.129 testset: URL, BLEU: 4.5, chr-F: 0.259 testset: URL, BLEU: 1.4, chr-F: 0.099 testset: URL, BLEU: 26.1, chr-F: 0.387 testset: URL, BLEU: 5.5, chr-F: 0.256 testset: URL, BLEU: 9.3, chr-F: 0.288 testset: URL, BLEU: 9.6, chr-F: 0.208 testset: URL, BLEU: 30.1, chr-F: 0.475 testset: URL, BLEU: 11.6, chr-F: 0.284 testset: URL, BLEU: 4.5, chr-F: 0.214 testset: URL, BLEU: 21.5, chr-F: 0.402 testset: URL, BLEU: 40.2, chr-F: 0.577 testset: URL, BLEU: 0.8, chr-F: 0.115 testset: URL, BLEU: 23.0, chr-F: 0.433 testset: URL, BLEU: 9.3, chr-F: 0.287 testset: URL, BLEU: 2.4, chr-F: 0.196 testset: URL, BLEU: 44.0, chr-F: 0.597 testset: URL, BLEU: 1.6, chr-F: 0.115 testset: URL, BLEU: 2.0, chr-F: 0.113 testset: URL, BLEU: 18.3, chr-F: 0.312 testset: URL, BLEU: 25.4, chr-F: 0.395 testset: URL, BLEU: 35.9, chr-F: 0.509 testset: URL, BLEU: 5.1, chr-F: 0.357 testset: URL, BLEU: 2.8, chr-F: 0.123 testset: URL, BLEU: 5.7, chr-F: 0.175 testset: URL, BLEU: 56.3, chr-F: 0.703 testset: URL, BLEU: 37.5, chr-F: 0.534 testset: URL, BLEU: 22.8, chr-F: 0.470 testset: URL, BLEU: 2.0, chr-F: 0.110 testset: URL, BLEU: 59.2, chr-F: 0.764 testset: URL, BLEU: 9.0, chr-F: 0.199 testset: URL, BLEU: 44.3, chr-F: 0.593 testset: URL, BLEU: 31.9, chr-F: 0.424 testset: URL, BLEU: 38.6, chr-F: 0.540 testset: URL, BLEU: 2.5, chr-F: 0.101 testset: URL, BLEU: 0.3, chr-F: 0.110 testset: URL, BLEU: 13.5, chr-F: 0.334 testset: URL, BLEU: 8.5, chr-F: 0.260 testset: URL, BLEU: 33.9, chr-F: 0.520 testset: URL, BLEU: 34.7, chr-F: 0.518 testset: URL, BLEU: 37.4, chr-F: 0.630 testset: URL, BLEU: 15.5, chr-F: 0.335 testset: URL, BLEU: 0.8, chr-F: 0.118 testset: URL, BLEU: 9.0, chr-F: 0.186 testset: URL, BLEU: 1.3, chr-F: 0.144 testset: URL, BLEU: 30.7, chr-F: 0.495 testset: URL, BLEU: 3.5, chr-F: 0.168 testset: URL, BLEU: 42.7, chr-F: 0.492 testset: URL, BLEU: 47.9, chr-F: 0.640 testset: URL, BLEU: 12.7, chr-F: 0.284 testset: URL, BLEU: 43.8, chr-F: 0.586 testset: URL, BLEU: 45.5, chr-F: 0.619 testset: URL, BLEU: 26.9, chr-F: 0.472 testset: URL, BLEU: 33.2, chr-F: 0.456 testset: URL, BLEU: 17.9, chr-F: 0.370 testset: URL, BLEU: 14.6, chr-F: 0.305 testset: URL, BLEU: 11.0, chr-F: 0.283 testset: URL, BLEU: 4.1, chr-F: 0.211 testset: URL, BLEU: 4.1, chr-F: 0.216 testset: URL, BLEU: 24.3, chr-F: 0.468 testset: URL, BLEU: 16.4, chr-F: 0.358 testset: URL, BLEU: 53.2, chr-F: 0.628 testset: URL, BLEU: 3.7, chr-F: 0.173 testset: URL, BLEU: 45.3, chr-F: 0.569 testset: URL, BLEU: 14.0, chr-F: 0.345 testset: URL, BLEU: 41.7, chr-F: 0.588 testset: URL, BLEU: 51.4, chr-F: 0.669 testset: URL, BLEU: 0.4, chr-F: 0.134 testset: URL, BLEU: 4.1, chr-F: 0.198 testset: URL, BLEU: 6.7, chr-F: 0.233 testset: URL, BLEU: 3.5, chr-F: 0.091 testset: URL, BLEU: 0.2, chr-F: 0.090 testset: URL, BLEU: 17.5, chr-F: 0.230 testset: URL, BLEU: 4.2, chr-F: 0.164 testset: URL, BLEU: 24.6, chr-F: 0.464 testset: URL, BLEU: 3.4, chr-F: 0.212 testset: URL, BLEU: 45.2, chr-F: 0.620 testset: URL, BLEU: 21.4, chr-F: 0.390 testset: URL, BLEU: 24.5, chr-F: 0.392 testset: URL, BLEU: 42.7, chr-F: 0.591 testset: URL, BLEU: 3.4, chr-F: 0.187 testset: URL, BLEU: 5.0, chr-F: 0.177 testset: URL, BLEU: 2.0, chr-F: 0.172 testset: URL, BLEU: 35.8, chr-F: 0.410 testset: URL, BLEU: 34.6, chr-F: 0.520 testset: URL, BLEU: 21.8, chr-F: 0.299 testset: URL, BLEU: 1.8, chr-F: 0.122 testset: URL, BLEU: 1.4, chr-F: 0.104 testset: URL, BLEU: 20.6, chr-F: 0.429 testset: URL, BLEU: 1.2, chr-F: 0.095 testset: URL, BLEU: 37.0, chr-F: 0.545 testset: URL, BLEU: 4.4, chr-F: 0.147 testset: URL, BLEU: 8.9, chr-F: 0.229 testset: URL, BLEU: 37.7, chr-F: 0.483 testset: URL, BLEU: 18.0, chr-F: 0.359 testset: URL, BLEU: 28.1, chr-F: 0.444 testset: URL, BLEU: 23.6, chr-F: 0.472 testset: URL, BLEU: 47.9, chr-F: 0.645 testset: URL, BLEU: 46.9, chr-F: 0.634 testset: URL, BLEU: 8.1, chr-F: 0.379 testset: URL, BLEU: 23.8, chr-F: 0.369 testset: URL, BLEU: 6.5, chr-F: 0.193 testset: URL, BLEU: 51.4, chr-F: 0.655 testset: URL, BLEU: 18.5, chr-F: 0.342 testset: URL, BLEU: 25.6, chr-F: 0.249 testset: URL, BLEU: 29.1, chr-F: 0.437 testset: URL, BLEU: 12.9, chr-F: 0.327 testset: URL, BLEU: 21.2, chr-F: 0.386 testset: URL, BLEU: 9.2, chr-F: 0.215 testset: URL, BLEU: 12.7, chr-F: 0.374 testset: URL, BLEU: 36.3, chr-F: 0.531 testset: URL, BLEU: 9.1, chr-F: 0.267 testset: URL, BLEU: 0.2, chr-F: 0.084 testset: URL, BLEU: 2.1, chr-F: 0.128 testset: URL, BLEU: 5.3, chr-F: 0.150 testset: URL, BLEU: 39.5, chr-F: 0.473 testset: URL, BLEU: 1.5, chr-F: 0.160 testset: URL, BLEU: 44.7, chr-F: 0.526 testset: URL, BLEU: 18.6, chr-F: 0.401 testset: URL, BLEU: 40.5, chr-F: 0.573 testset: URL, BLEU: 55.0, chr-F: 0.593 testset: URL, BLEU: 19.1, chr-F: 0.477 testset: URL, BLEU: 17.7, chr-F: 0.333 testset: URL, BLEU: 3.4, chr-F: 0.217 testset: URL, BLEU: 11.4, chr-F: 0.289 testset: URL, BLEU: 43.1, chr-F: 0.595 testset: URL, BLEU: 9.2, chr-F: 0.260 testset: URL, BLEU: 23.2, chr-F: 0.426 testset: URL, BLEU: 19.0, chr-F: 0.342 testset: URL, BLEU: 41.1, chr-F: 0.409 testset: URL, BLEU: 30.6, chr-F: 0.481 testset: URL, BLEU: 1.8, chr-F: 0.143 testset: URL, BLEU: 15.9, chr-F: 0.352 testset: URL, BLEU: 12.6, chr-F: 0.291 testset: URL, BLEU: 4.4, chr-F: 0.138 testset: URL, BLEU: 0.9, chr-F: 0.153 testset: URL, BLEU: 35.4, chr-F: 0.513 testset: URL, BLEU: 19.4, chr-F: 0.387 testset: URL, BLEU: 19.3, chr-F: 0.327 testset: URL, BLEU: 25.8, chr-F: 0.448 testset: URL, BLEU: 40.9, chr-F: 0.567 testset: URL, BLEU: 1.6, chr-F: 0.125 ### System Info: * hf\_name: mul-eng * source\_languages: mul * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en'] * src\_constituents: {'sjn\_Latn', 'cat', 'nan', 'spa', 'ile\_Latn', 'pap', 'mwl', 'uzb\_Latn', 'mww', 'hil', 'lij', 'avk\_Latn', 'lad\_Latn', 'lat\_Latn', 'bos\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\_Latn', 'awa', 'swg', 'zsm\_Latn', 'zho\_Hant', 'gcf\_Latn', 'uzb\_Cyrl', 'isl', 'lfn\_Latn', 'shs\_Latn', 'nov\_Latn', 'bho', 'ltz', 'lzh', 'kur\_Latn', 'sun', 'arg', 'pes\_Thaa', 'sqi', 'uig\_Arab', 'csb\_Latn', 'fra', 'hat', 'liv\_Latn', 'non\_Latn', 'sco', 'cmn\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\_Latn', 'amh', 'lfn\_Cyrl', 'eus', 'fkv\_Latn', 'tur', 'pus', 'afr', 'brx\_Latn', 'nya', 'acm', 'ota\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\_Hans', 'tmw\_Latn', 'kjh', 'ota\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\_Hans', 'ara', 'tly\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\_Latn', 'kat', 'gan', 'got\_Goth', 'vro', 'ext', 'afh\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\_Latn', 'cjy\_Hant', 'bre', 'ceb', 'mah', 'nob\_Hebr', 'crh\_Latn', 'prg\_Latn', 'khm', 'ang\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\_Hani', 'arz', 'yue', 'kha', 'san\_Deva', 'jbo\_Latn', 'gos', 'hau\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\_Cyrl', 'fao', 'mnw', 'zho', 'orv\_Cyrl', 'iba', 'bel\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\_Grek', 'tpw\_Latn', 'oci', 'mfe', 'sna', 'kir\_Cyrl', 'tat\_Latn', 'gom', 'ido\_Latn', 'sgs', 'pau', 'tgk\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\_Latn', 'wuu', 'dtp', 'jbo\_Cyrl', 'tet', 'bod', 'yue\_Hans', 'zlm\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\_Latn', 'vie', 'enm\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\_Latn', 'cjy\_Hans', 'jdt\_Cyrl', 'gsw', 'glv', 'khm\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\_Arab', 'arq', 'mri', 'kur\_Arab', 'por', 'hin', 'shy\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\_Hant', 'kpv', 'tam', 'est', 'frm\_Latn', 'hoc\_Latn', 'bam\_Latn', 'kek\_Latn', 'ksh', 'tlh\_Latn', 'ltg', 'pan\_Guru', 'hnj\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\_Latn', 'kum', 'mad', 'cmn\_Hant', 'fuv', 'nau', 'mon', 'akl\_Latn', 'guj', 'kaz\_Latn', 'wln', 'tuk\_Latn', 'jav\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\_Latn', 'urd', 'stq', 'tat\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\_Latn', 'tzl\_Latn', 'mdf', 'ike\_Latn', 'ces', 'ldn\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\_Latn', 'pes\_Latn', 'yid', 'mal', 'nds'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: mul * tgt\_alpha3: eng * short\_pair: mul-en * chrF2\_score: 0.518 * bleu: 34.7 * brevity\_penalty: 1.0 * ref\_len: 72346.0 * src\_name: Multiple languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: mul * tgt\_alpha2: en * prefer\_old: False * long\_pair: mul-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 0.140\ntestset: URL, BLEU: 18.8, chr-F: 0.387\ntestset: URL, BLEU: 3.9, chr-F: 0.205\ntestset: URL, BLEU: 16.9, chr-F: 0.329\ntestset: URL, BLEU: 16.2, chr-F: 0.374\ntestset: URL, BLEU: 31.1, chr-F: 0.493\ntestset: URL, BLEU: 24.5, chr-F: 0.437\ntestset: URL, BLEU: 7.4, chr-F: 0.192\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 12.2, chr-F: 0.290\ntestset: URL, BLEU: 22.5, chr-F: 0.355\ntestset: URL, BLEU: 27.2, chr-F: 0.470\ntestset: URL, BLEU: 2.1, chr-F: 0.129\ntestset: URL, BLEU: 4.5, chr-F: 0.259\ntestset: URL, BLEU: 1.4, chr-F: 0.099\ntestset: URL, BLEU: 26.1, chr-F: 0.387\ntestset: URL, BLEU: 5.5, chr-F: 0.256\ntestset: URL, BLEU: 9.3, chr-F: 0.288\ntestset: URL, BLEU: 9.6, chr-F: 0.208\ntestset: URL, BLEU: 30.1, chr-F: 0.475\ntestset: URL, BLEU: 11.6, chr-F: 0.284\ntestset: URL, BLEU: 4.5, chr-F: 0.214\ntestset: URL, BLEU: 21.5, chr-F: 0.402\ntestset: URL, BLEU: 40.2, chr-F: 0.577\ntestset: URL, BLEU: 0.8, chr-F: 0.115\ntestset: URL, BLEU: 23.0, chr-F: 0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 0.520\ntestset: URL, BLEU: 34.7, chr-F: 0.518\ntestset: URL, BLEU: 37.4, chr-F: 0.630\ntestset: URL, BLEU: 15.5, chr-F: 0.335\ntestset: URL, BLEU: 0.8, chr-F: 0.118\ntestset: URL, BLEU: 9.0, chr-F: 0.186\ntestset: URL, BLEU: 1.3, chr-F: 0.144\ntestset: URL, BLEU: 30.7, chr-F: 0.495\ntestset: URL, BLEU: 3.5, chr-F: 0.168\ntestset: URL, BLEU: 42.7, chr-F: 0.492\ntestset: URL, BLEU: 47.9, chr-F: 0.640\ntestset: URL, BLEU: 12.7, chr-F: 0.284\ntestset: URL, BLEU: 43.8, chr-F: 0.586\ntestset: URL, BLEU: 45.5, chr-F: 0.619\ntestset: URL, BLEU: 26.9, chr-F: 0.472\ntestset: URL, BLEU: 33.2, chr-F: 0.456\ntestset: URL, BLEU: 17.9, chr-F: 0.370\ntestset: URL, BLEU: 14.6, chr-F: 0.305\ntestset: URL, BLEU: 11.0, chr-F: 0.283\ntestset: URL, BLEU: 4.1, chr-F: 0.211\ntestset: URL, BLEU: 4.1, chr-F: 0.216\ntestset: URL, BLEU: 24.3, chr-F: 0.468\ntestset: URL, BLEU: 16.4, chr-F: 0.358\ntestset: URL, BLEU: 53.2, chr-F: 0.628\ntestset: URL, BLEU: 3.7, chr-F: 0.173\ntestset: URL, BLEU: 45.3, chr-F: 0.569\ntestset: URL, BLEU: 14.0, chr-F: 0.345\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 51.4, chr-F: 0.669\ntestset: URL, BLEU: 0.4, chr-F: 0.134\ntestset: URL, BLEU: 4.1, chr-F: 0.198\ntestset: URL, BLEU: 6.7, chr-F: 0.233\ntestset: URL, BLEU: 3.5, chr-F: 0.091\ntestset: URL, BLEU: 0.2, chr-F: 0.090\ntestset: URL, BLEU: 17.5, chr-F: 0.230\ntestset: URL, BLEU: 4.2, chr-F: 0.164\ntestset: URL, BLEU: 24.6, chr-F: 0.464\ntestset: URL, BLEU: 3.4, chr-F: 0.212\ntestset: URL, BLEU: 45.2, chr-F: 0.620\ntestset: URL, BLEU: 21.4, chr-F: 0.390\ntestset: URL, BLEU: 24.5, chr-F: 0.392\ntestset: URL, BLEU: 42.7, chr-F: 0.591\ntestset: URL, BLEU: 3.4, chr-F: 0.187\ntestset: URL, BLEU: 5.0, chr-F: 0.177\ntestset: URL, BLEU: 2.0, chr-F: 0.172\ntestset: URL, BLEU: 35.8, chr-F: 0.410\ntestset: URL, BLEU: 34.6, chr-F: 0.520\ntestset: URL, BLEU: 21.8, chr-F: 0.299\ntestset: URL, BLEU: 1.8, chr-F: 0.122\ntestset: URL, BLEU: 1.4, chr-F: 0.104\ntestset: URL, BLEU: 20.6, chr-F: 0.429\ntestset: URL, BLEU: 1.2, chr-F: 0.095\ntestset: URL, BLEU: 37.0, chr-F: 0.545\ntestset: URL, BLEU: 4.4, chr-F: 0.147\ntestset: URL, BLEU: 8.9, chr-F: 0.229\ntestset: URL, BLEU: 37.7, chr-F: 0.483\ntestset: URL, BLEU: 18.0, chr-F: 0.359\ntestset: URL, BLEU: 28.1, chr-F: 0.444\ntestset: URL, BLEU: 23.6, chr-F: 0.472\ntestset: URL, BLEU: 47.9, chr-F: 0.645\ntestset: URL, BLEU: 46.9, chr-F: 0.634\ntestset: URL, BLEU: 8.1, chr-F: 0.379\ntestset: URL, BLEU: 23.8, chr-F: 0.369\ntestset: URL, BLEU: 6.5, chr-F: 0.193\ntestset: URL, BLEU: 51.4, chr-F: 0.655\ntestset: URL, BLEU: 18.5, chr-F: 0.342\ntestset: URL, BLEU: 25.6, chr-F: 0.249\ntestset: URL, BLEU: 29.1, chr-F: 0.437\ntestset: URL, BLEU: 12.9, chr-F: 0.327\ntestset: URL, BLEU: 21.2, chr-F: 0.386\ntestset: URL, BLEU: 9.2, chr-F: 0.215\ntestset: URL, BLEU: 12.7, chr-F: 0.374\ntestset: URL, BLEU: 36.3, chr-F: 0.531\ntestset: URL, BLEU: 9.1, chr-F: 0.267\ntestset: URL, BLEU: 0.2, chr-F: 0.084\ntestset: URL, BLEU: 2.1, chr-F: 0.128\ntestset: URL, BLEU: 5.3, chr-F: 0.150\ntestset: URL, BLEU: 39.5, chr-F: 0.473\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 44.7, chr-F: 0.526\ntestset: URL, BLEU: 18.6, chr-F: 0.401\ntestset: URL, BLEU: 40.5, chr-F: 0.573\ntestset: URL, BLEU: 55.0, chr-F: 0.593\ntestset: URL, BLEU: 19.1, chr-F: 0.477\ntestset: URL, BLEU: 17.7, chr-F: 0.333\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 11.4, chr-F: 0.289\ntestset: URL, BLEU: 43.1, chr-F: 0.595\ntestset: URL, BLEU: 9.2, chr-F: 0.260\ntestset: URL, BLEU: 23.2, chr-F: 0.426\ntestset: URL, BLEU: 19.0, chr-F: 0.342\ntestset: URL, BLEU: 41.1, chr-F: 0.409\ntestset: URL, BLEU: 30.6, chr-F: 0.481\ntestset: URL, BLEU: 1.8, chr-F: 0.143\ntestset: URL, BLEU: 15.9, chr-F: 0.352\ntestset: URL, BLEU: 12.6, chr-F: 0.291\ntestset: URL, BLEU: 4.4, chr-F: 0.138\ntestset: URL, BLEU: 0.9, chr-F: 0.153\ntestset: URL, BLEU: 35.4, chr-F: 0.513\ntestset: URL, BLEU: 19.4, chr-F: 0.387\ntestset: URL, BLEU: 19.3, chr-F: 0.327\ntestset: URL, BLEU: 25.8, chr-F: 0.448\ntestset: URL, BLEU: 40.9, chr-F: 0.567\ntestset: URL, BLEU: 1.6, chr-F: 0.125", "### System Info:\n\n\n* hf\\_name: mul-eng\n* source\\_languages: mul\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en']\n* src\\_constituents: {'sjn\\_Latn', 'cat', 'nan', 'spa', 'ile\\_Latn', 'pap', 'mwl', 'uzb\\_Latn', 'mww', 'hil', 'lij', 'avk\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'bos\\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\\_Latn', 'awa', 'swg', 'zsm\\_Latn', 'zho\\_Hant', 'gcf\\_Latn', 'uzb\\_Cyrl', 'isl', 'lfn\\_Latn', 'shs\\_Latn', 'nov\\_Latn', 'bho', 'ltz', 'lzh', 'kur\\_Latn', 'sun', 'arg', 'pes\\_Thaa', 'sqi', 'uig\\_Arab', 'csb\\_Latn', 'fra', 'hat', 'liv\\_Latn', 'non\\_Latn', 'sco', 'cmn\\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\\_Latn', 'amh', 'lfn\\_Cyrl', 'eus', 'fkv\\_Latn', 'tur', 'pus', 'afr', 'brx\\_Latn', 'nya', 'acm', 'ota\\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\\_Hans', 'tmw\\_Latn', 'kjh', 'ota\\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\\_Hans', 'ara', 'tly\\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\\_Latn', 'kat', 'gan', 'got\\_Goth', 'vro', 'ext', 'afh\\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\\_Latn', 'cjy\\_Hant', 'bre', 'ceb', 'mah', 'nob\\_Hebr', 'crh\\_Latn', 'prg\\_Latn', 'khm', 'ang\\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\\_Hani', 'arz', 'yue', 'kha', 'san\\_Deva', 'jbo\\_Latn', 'gos', 'hau\\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\\_Cyrl', 'fao', 'mnw', 'zho', 'orv\\_Cyrl', 'iba', 'bel\\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\\_Grek', 'tpw\\_Latn', 'oci', 'mfe', 'sna', 'kir\\_Cyrl', 'tat\\_Latn', 'gom', 'ido\\_Latn', 'sgs', 'pau', 'tgk\\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\\_Latn', 'wuu', 'dtp', 'jbo\\_Cyrl', 'tet', 'bod', 'yue\\_Hans', 'zlm\\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\\_Latn', 'vie', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\\_Latn', 'cjy\\_Hans', 'jdt\\_Cyrl', 'gsw', 'glv', 'khm\\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\\_Arab', 'arq', 'mri', 'kur\\_Arab', 'por', 'hin', 'shy\\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\\_Hant', 'kpv', 'tam', 'est', 'frm\\_Latn', 'hoc\\_Latn', 'bam\\_Latn', 'kek\\_Latn', 'ksh', 'tlh\\_Latn', 'ltg', 'pan\\_Guru', 'hnj\\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\\_Latn', 'kum', 'mad', 'cmn\\_Hant', 'fuv', 'nau', 'mon', 'akl\\_Latn', 'guj', 'kaz\\_Latn', 'wln', 'tuk\\_Latn', 'jav\\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\\_Latn', 'urd', 'stq', 'tat\\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\\_Latn', 'tzl\\_Latn', 'mdf', 'ike\\_Latn', 'ces', 'ldn\\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\\_Latn', 'pes\\_Latn', 'yid', 'mal', 'nds'}\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: mul\n* tgt\\_alpha3: eng\n* short\\_pair: mul-en\n* chrF2\\_score: 0.518\n* bleu: 34.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 72346.0\n* src\\_name: Multiple languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: mul\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mul-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 #ca #es #os #eo #ro #fy #cy #is #lb #su #an #sq #fr #ht #rm #cv #ig #am #eu #tr #ps #af #ny #ch #uk #sl #lt #tk #sg #ar #lg #bg #be #ka #gd #ja #si #br #mh #km #th #ty #rw #te #mk #or #wo #kl #mr #ru #yo #hu #fo #zh #ti #co #ee #oc #sn #mt #ts #pl #gl #nb #bn #tt #bo #lo #id #gn #nv #hy #kn #to #io #so #vi #da #fj #gv #sm #nl #mi #pt #hi #se #as #ta #et #kw #ga #sv #ln #na #mn #gu #wa #lv #jv #el #my #ba #it #hr #ur #ce #nn #fi #mg #rn #xh #ab #de #cs #he #zu #yi #ml #mul #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 0.140\ntestset: URL, BLEU: 18.8, chr-F: 0.387\ntestset: URL, BLEU: 3.9, chr-F: 0.205\ntestset: URL, BLEU: 16.9, chr-F: 0.329\ntestset: URL, BLEU: 16.2, chr-F: 0.374\ntestset: URL, BLEU: 31.1, chr-F: 0.493\ntestset: URL, BLEU: 24.5, chr-F: 0.437\ntestset: URL, BLEU: 7.4, chr-F: 0.192\ntestset: URL, BLEU: 1.0, chr-F: 0.154\ntestset: URL, BLEU: 12.2, chr-F: 0.290\ntestset: URL, BLEU: 22.5, chr-F: 0.355\ntestset: URL, BLEU: 27.2, chr-F: 0.470\ntestset: URL, BLEU: 2.1, chr-F: 0.129\ntestset: URL, BLEU: 4.5, chr-F: 0.259\ntestset: URL, BLEU: 1.4, chr-F: 0.099\ntestset: URL, BLEU: 26.1, chr-F: 0.387\ntestset: URL, BLEU: 5.5, chr-F: 0.256\ntestset: URL, BLEU: 9.3, chr-F: 0.288\ntestset: URL, BLEU: 9.6, chr-F: 0.208\ntestset: URL, BLEU: 30.1, chr-F: 0.475\ntestset: URL, BLEU: 11.6, chr-F: 0.284\ntestset: URL, BLEU: 4.5, chr-F: 0.214\ntestset: URL, BLEU: 21.5, chr-F: 0.402\ntestset: URL, BLEU: 40.2, chr-F: 0.577\ntestset: URL, BLEU: 0.8, chr-F: 0.115\ntestset: URL, BLEU: 23.0, chr-F: 0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 0.520\ntestset: URL, BLEU: 34.7, chr-F: 0.518\ntestset: URL, BLEU: 37.4, chr-F: 0.630\ntestset: URL, BLEU: 15.5, chr-F: 0.335\ntestset: URL, BLEU: 0.8, chr-F: 0.118\ntestset: URL, BLEU: 9.0, chr-F: 0.186\ntestset: URL, BLEU: 1.3, chr-F: 0.144\ntestset: URL, BLEU: 30.7, chr-F: 0.495\ntestset: URL, BLEU: 3.5, chr-F: 0.168\ntestset: URL, BLEU: 42.7, chr-F: 0.492\ntestset: URL, BLEU: 47.9, chr-F: 0.640\ntestset: URL, BLEU: 12.7, chr-F: 0.284\ntestset: URL, BLEU: 43.8, chr-F: 0.586\ntestset: URL, BLEU: 45.5, chr-F: 0.619\ntestset: URL, BLEU: 26.9, chr-F: 0.472\ntestset: URL, BLEU: 33.2, chr-F: 0.456\ntestset: URL, BLEU: 17.9, chr-F: 0.370\ntestset: URL, BLEU: 14.6, chr-F: 0.305\ntestset: URL, BLEU: 11.0, chr-F: 0.283\ntestset: URL, BLEU: 4.1, chr-F: 0.211\ntestset: URL, BLEU: 4.1, chr-F: 0.216\ntestset: URL, BLEU: 24.3, chr-F: 0.468\ntestset: URL, BLEU: 16.4, chr-F: 0.358\ntestset: URL, BLEU: 53.2, chr-F: 0.628\ntestset: URL, BLEU: 3.7, chr-F: 0.173\ntestset: URL, BLEU: 45.3, chr-F: 0.569\ntestset: URL, BLEU: 14.0, chr-F: 0.345\ntestset: URL, BLEU: 41.7, chr-F: 0.588\ntestset: URL, BLEU: 51.4, chr-F: 0.669\ntestset: URL, BLEU: 0.4, chr-F: 0.134\ntestset: URL, BLEU: 4.1, chr-F: 0.198\ntestset: URL, BLEU: 6.7, chr-F: 0.233\ntestset: URL, BLEU: 3.5, chr-F: 0.091\ntestset: URL, BLEU: 0.2, chr-F: 0.090\ntestset: URL, BLEU: 17.5, chr-F: 0.230\ntestset: URL, BLEU: 4.2, chr-F: 0.164\ntestset: URL, BLEU: 24.6, chr-F: 0.464\ntestset: URL, BLEU: 3.4, chr-F: 0.212\ntestset: URL, BLEU: 45.2, chr-F: 0.620\ntestset: URL, BLEU: 21.4, chr-F: 0.390\ntestset: URL, BLEU: 24.5, chr-F: 0.392\ntestset: URL, BLEU: 42.7, chr-F: 0.591\ntestset: URL, BLEU: 3.4, chr-F: 0.187\ntestset: URL, BLEU: 5.0, chr-F: 0.177\ntestset: URL, BLEU: 2.0, chr-F: 0.172\ntestset: URL, BLEU: 35.8, chr-F: 0.410\ntestset: URL, BLEU: 34.6, chr-F: 0.520\ntestset: URL, BLEU: 21.8, chr-F: 0.299\ntestset: URL, BLEU: 1.8, chr-F: 0.122\ntestset: URL, BLEU: 1.4, chr-F: 0.104\ntestset: URL, BLEU: 20.6, chr-F: 0.429\ntestset: URL, BLEU: 1.2, chr-F: 0.095\ntestset: URL, BLEU: 37.0, chr-F: 0.545\ntestset: URL, BLEU: 4.4, chr-F: 0.147\ntestset: URL, BLEU: 8.9, chr-F: 0.229\ntestset: URL, BLEU: 37.7, chr-F: 0.483\ntestset: URL, BLEU: 18.0, chr-F: 0.359\ntestset: URL, BLEU: 28.1, chr-F: 0.444\ntestset: URL, BLEU: 23.6, chr-F: 0.472\ntestset: URL, BLEU: 47.9, chr-F: 0.645\ntestset: URL, BLEU: 46.9, chr-F: 0.634\ntestset: URL, BLEU: 8.1, chr-F: 0.379\ntestset: URL, BLEU: 23.8, chr-F: 0.369\ntestset: URL, BLEU: 6.5, chr-F: 0.193\ntestset: URL, BLEU: 51.4, chr-F: 0.655\ntestset: URL, BLEU: 18.5, chr-F: 0.342\ntestset: URL, BLEU: 25.6, chr-F: 0.249\ntestset: URL, BLEU: 29.1, chr-F: 0.437\ntestset: URL, BLEU: 12.9, chr-F: 0.327\ntestset: URL, BLEU: 21.2, chr-F: 0.386\ntestset: URL, BLEU: 9.2, chr-F: 0.215\ntestset: URL, BLEU: 12.7, chr-F: 0.374\ntestset: URL, BLEU: 36.3, chr-F: 0.531\ntestset: URL, BLEU: 9.1, chr-F: 0.267\ntestset: URL, BLEU: 0.2, chr-F: 0.084\ntestset: URL, BLEU: 2.1, chr-F: 0.128\ntestset: URL, BLEU: 5.3, chr-F: 0.150\ntestset: URL, BLEU: 39.5, chr-F: 0.473\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 44.7, chr-F: 0.526\ntestset: URL, BLEU: 18.6, chr-F: 0.401\ntestset: URL, BLEU: 40.5, chr-F: 0.573\ntestset: URL, BLEU: 55.0, chr-F: 0.593\ntestset: URL, BLEU: 19.1, chr-F: 0.477\ntestset: URL, BLEU: 17.7, chr-F: 0.333\ntestset: URL, BLEU: 3.4, chr-F: 0.217\ntestset: URL, BLEU: 11.4, chr-F: 0.289\ntestset: URL, BLEU: 43.1, chr-F: 0.595\ntestset: URL, BLEU: 9.2, chr-F: 0.260\ntestset: URL, BLEU: 23.2, chr-F: 0.426\ntestset: URL, BLEU: 19.0, chr-F: 0.342\ntestset: URL, BLEU: 41.1, chr-F: 0.409\ntestset: URL, BLEU: 30.6, chr-F: 0.481\ntestset: URL, BLEU: 1.8, chr-F: 0.143\ntestset: URL, BLEU: 15.9, chr-F: 0.352\ntestset: URL, BLEU: 12.6, chr-F: 0.291\ntestset: URL, BLEU: 4.4, chr-F: 0.138\ntestset: URL, BLEU: 0.9, chr-F: 0.153\ntestset: URL, BLEU: 35.4, chr-F: 0.513\ntestset: URL, BLEU: 19.4, chr-F: 0.387\ntestset: URL, BLEU: 19.3, chr-F: 0.327\ntestset: URL, BLEU: 25.8, chr-F: 0.448\ntestset: URL, BLEU: 40.9, chr-F: 0.567\ntestset: URL, BLEU: 1.6, chr-F: 0.125", "### System Info:\n\n\n* hf\\_name: mul-eng\n* source\\_languages: mul\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul', 'en']\n* src\\_constituents: {'sjn\\_Latn', 'cat', 'nan', 'spa', 'ile\\_Latn', 'pap', 'mwl', 'uzb\\_Latn', 'mww', 'hil', 'lij', 'avk\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'bos\\_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi\\_Latn', 'awa', 'swg', 'zsm\\_Latn', 'zho\\_Hant', 'gcf\\_Latn', 'uzb\\_Cyrl', 'isl', 'lfn\\_Latn', 'shs\\_Latn', 'nov\\_Latn', 'bho', 'ltz', 'lzh', 'kur\\_Latn', 'sun', 'arg', 'pes\\_Thaa', 'sqi', 'uig\\_Arab', 'csb\\_Latn', 'fra', 'hat', 'liv\\_Latn', 'non\\_Latn', 'sco', 'cmn\\_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul\\_Latn', 'amh', 'lfn\\_Cyrl', 'eus', 'fkv\\_Latn', 'tur', 'pus', 'afr', 'brx\\_Latn', 'nya', 'acm', 'ota\\_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho\\_Hans', 'tmw\\_Latn', 'kjh', 'ota\\_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh\\_Hans', 'ara', 'tly\\_Latn', 'lug', 'brx', 'bul', 'bel', 'vol\\_Latn', 'kat', 'gan', 'got\\_Goth', 'vro', 'ext', 'afh\\_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif\\_Latn', 'cjy\\_Hant', 'bre', 'ceb', 'mah', 'nob\\_Hebr', 'crh\\_Latn', 'prg\\_Latn', 'khm', 'ang\\_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze\\_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie\\_Hani', 'arz', 'yue', 'kha', 'san\\_Deva', 'jbo\\_Latn', 'gos', 'hau\\_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig\\_Cyrl', 'fao', 'mnw', 'zho', 'orv\\_Cyrl', 'iba', 'bel\\_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc\\_Grek', 'tpw\\_Latn', 'oci', 'mfe', 'sna', 'kir\\_Cyrl', 'tat\\_Latn', 'gom', 'ido\\_Latn', 'sgs', 'pau', 'tgk\\_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp\\_Latn', 'wuu', 'dtp', 'jbo\\_Cyrl', 'tet', 'bod', 'yue\\_Hans', 'zlm\\_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz\\_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif\\_Latn', 'vie', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina\\_Latn', 'cjy\\_Hans', 'jdt\\_Cyrl', 'gsw', 'glv', 'khm\\_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd\\_Arab', 'arq', 'mri', 'kur\\_Arab', 'por', 'hin', 'shy\\_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue\\_Hant', 'kpv', 'tam', 'est', 'frm\\_Latn', 'hoc\\_Latn', 'bam\\_Latn', 'kek\\_Latn', 'ksh', 'tlh\\_Latn', 'ltg', 'pan\\_Guru', 'hnj\\_Latn', 'cor', 'gle', 'swe', 'lin', 'qya\\_Latn', 'kum', 'mad', 'cmn\\_Hant', 'fuv', 'nau', 'mon', 'akl\\_Latn', 'guj', 'kaz\\_Latn', 'wln', 'tuk\\_Latn', 'jav\\_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws\\_Latn', 'urd', 'stq', 'tat\\_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl\\_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld\\_Latn', 'tzl\\_Latn', 'mdf', 'ike\\_Latn', 'ces', 'ldn\\_Latn', 'egl', 'heb', 'vec', 'zul', 'max\\_Latn', 'pes\\_Latn', 'yid', 'mal', 'nds'}\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: mul\n* tgt\\_alpha3: eng\n* short\\_pair: mul-en\n* chrF2\\_score: 0.518\n* bleu: 34.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 72346.0\n* src\\_name: Multiple languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: mul\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: mul-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 315, 6751, 2723 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #eo #ro #fy #cy #is #lb #su #an #sq #fr #ht #rm #cv #ig #am #eu #tr #ps #af #ny #ch #uk #sl #lt #tk #sg #ar #lg #bg #be #ka #gd #ja #si #br #mh #km #th #ty #rw #te #mk #or #wo #kl #mr #ru #yo #hu #fo #zh #ti #co #ee #oc #sn #mt #ts #pl #gl #nb #bn #tt #bo #lo #id #gn #nv #hy #kn #to #io #so #vi #da #fj #gv #sm #nl #mi #pt #hi #se #as #ta #et #kw #ga #sv #ln #na #mn #gu #wa #lv #jv #el #my #ba #it #hr #ur #ce #nn #fi #mg #rn #xh #ab #de #cs #he #zu #yi #ml #mul #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "passage: ### mul-eng\n\n\n* source group: Multiple languages\n* target group: English\n* OPUS readme: mul-eng\n* model: transformer\n* source language(s): abk acm ady afb afh\\_Latn afr akl\\_Latn aln amh ang\\_Latn apc ara arg arq ary arz asm ast avk\\_Latn awa aze\\_Latn bak bam\\_Latn bel bel\\_Latn ben bho bod bos\\_Latn bre brx brx\\_Latn bul bul\\_Latn cat ceb ces cha che chr chv cjy\\_Hans cjy\\_Hant cmn cmn\\_Hans cmn\\_Hant cor cos crh crh\\_Latn csb\\_Latn cym dan deu dsb dtp dws\\_Latn egl ell enm\\_Latn epo est eus ewe ext fao fij fin fkv\\_Latn fra frm\\_Latn frr fry fuc fuv gan gcf\\_Latn gil gla gle glg glv gom gos got\\_Goth grc\\_Grek grn gsw guj hat hau\\_Latn haw heb hif\\_Latn hil hin hnj\\_Latn hoc hoc\\_Latn hrv hsb hun hye iba ibo ido ido\\_Latn ike\\_Latn ile\\_Latn ilo ina\\_Latn ind isl ita izh jav jav\\_Java jbo jbo\\_Cyrl jbo\\_Latn jdt\\_Cyrl jpn kab kal kan kat kaz\\_Cyrl kaz\\_Latn kek\\_Latn kha khm khm\\_Latn kin kir\\_Cyrl kjh kpv krl ksh kum kur\\_Arab kur\\_Latn lad lad\\_Latn lao lat\\_Latn lav ldn\\_Latn lfn\\_Cyrl lfn\\_Latn lij lin lit liv\\_Latn lkt lld\\_Latn lmo ltg ltz lug lzh lzh\\_Hans mad mah mai mal mar max\\_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob\\_Hebr nog non\\_Latn nov\\_Latn npi nya oci ori orv\\_Cyrl oss ota\\_Arab ota\\_Latn pag pan\\_Guru pap pau pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por ppl\\_Latn prg\\_Latn pus quc qya qya\\_Latn rap rif\\_Latn roh rom ron rue run rus sag sah san\\_Deva scn sco sgs shs\\_Latn shy\\_Latn sin sjn\\_Latn slv sma sme smo sna snd\\_Arab som spa sqi srp\\_Cyrl srp\\_Latn stq sun swe swg swh tah tam tat tat\\_Arab tat\\_Latn tel tet tgk\\_Cyrl tha tir tlh\\_Latn tly\\_Latn tmw\\_Latn toi\\_Latn ton tpw\\_Latn tso tuk tuk\\_Latn tur tvl tyv tzl tzl\\_Latn udm uig\\_Arab uig\\_Cyrl ukr umb urd uzb\\_Cyrl uzb\\_Latn vec vie vie\\_Hani vol\\_Latn vro war wln wol wuu xal xho yid yor yue yue\\_Hans yue\\_Hant zho zho\\_Hans zho\\_Hant zlm\\_Latn zsm\\_Latn zul zza\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: 8.5, chr-F: 0.341\ntestset: URL, BLEU: 16.8, chr-F: 0.441\ntestset: URL, BLEU: 31.3, chr-F: 0.580\ntestset: URL, BLEU: 16.4, chr-F: 0.422\ntestset: URL, BLEU: 21.3, chr-F: 0.502\ntestset: URL, BLEU: 12.7, chr-F: 0.409\ntestset: URL, BLEU: 19.8, chr-F: 0.467\ntestset: URL, BLEU: 13.3, chr-F: 0.385\ntestset: URL, BLEU: 19.9, chr-F: 0.482\ntestset: URL, BLEU: 26.7, chr-F: 0.520\ntestset: URL, BLEU: 29.8, chr-F: 0.541\ntestset: URL, BLEU: 21.1, chr-F: 0.487\ntestset: URL, BLEU: 22.6, chr-F: 0.499\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 15.1, chr-F: 0.430\ntestset: URL, BLEU: 29.4, chr-F: 0.555\ntestset: URL, BLEU: 26.1, chr-F: 0.534\ntestset: URL, BLEU: 21.6, chr-F: 0.491\ntestset: URL, BLEU: 22.3, chr-F: 0.502\ntestset: URL, BLEU: 23.6, chr-F: 0.514\ntestset: URL, BLEU: 19.8, chr-F: 0.480\ntestset: URL, BLEU: 20.9, chr-F: 0.487\ntestset: URL, BLEU: 25.0, chr-F: 0.523\ntestset: URL, BLEU: 14.7, chr-F: 0.425\ntestset: URL, BLEU: 27.6, chr-F: 0.542\ntestset: URL, BLEU: 25.7, chr-F: 0.530\ntestset: URL, BLEU: 20.6, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.517\ntestset: URL, BLEU: 26.1, chr-F: 0.537\ntestset: URL, BLEU: 29.1, chr-F: 0.561\ntestset: URL, BLEU: 21.0, chr-F: 0.489\ntestset: URL, BLEU: 21.3, chr-F: 0.494\ntestset: URL, BLEU: 26.8, chr-F: 0.546\ntestset: URL, BLEU: 28.2, chr-F: 0.549\ntestset: URL, BLEU: 20.5, chr-F: 0.485\ntestset: URL, BLEU: 22.3, chr-F: 0.503\ntestset: URL, BLEU: 27.5, chr-F: 0.545\ntestset: URL, BLEU: 26.6, chr-F: 0.532\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 22.5, chr-F: 0.498\ntestset: URL, BLEU: 25.0, chr-F: 0.518\ntestset: URL, BLEU: 27.4, chr-F: 0.537\ntestset: URL, BLEU: 21.6, chr-F: 0.484\ntestset: URL, BLEU: 28.4, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.517\ntestset: URL, BLEU: 24.1, chr-F: 0.511\ntestset: URL, BLEU: 29.1, chr-F: 0.563\ntestset: URL, BLEU: 14.0, chr-F: 0.414\ntestset: URL, BLEU: 24.0, chr-F: 0.521\ntestset: URL, BLEU: 21.9, chr-F: 0.481\ntestset: URL, BLEU: 25.5, chr-F: 0.519\ntestset: URL, BLEU: 17.4, chr-F: 0.441\ntestset: URL, BLEU: 22.4, chr-F: 0.494\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 30.1, chr-F: 0.560\ntestset: URL, BLEU: 18.5, chr-F: 0.461\ntestset: URL, BLEU: 29.6, chr-F: 0.562\ntestset: URL, BLEU: 22.0, chr-F: 0.495\ntestset: URL, BLEU: 14.8, chr-F: 0.415\ntestset: URL, BLEU: 20.2, chr-F: 0.475\ntestset: URL, BLEU: 26.0, chr-F: 0.523\ntestset: URL, BLEU: 19.6, chr-F: 0.465\ntestset: URL, BLEU: 16.2, chr-F: 0.454\ntestset: URL, BLEU: 24.2, chr-F: 0.510\ntestset: URL, BLEU: 15.0, chr-F: 0.412\ntestset: URL, BLEU: 13.7, chr-F: 0.412\ntestset: URL, BLEU: 21.2, chr-F: 0.486\ntestset: URL, BLEU: 31.5, chr-F: 0.564\ntestset: URL, BLEU: 19.7, chr-F: 0.473\ntestset: URL, BLEU: 15.1, chr-F: 0.418\ntestset: URL, BLEU: 21.3, chr-F: 0.490\ntestset: URL, BLEU: 15.4, chr-F: 0.421\ntestset: URL, BLEU: 12.9, chr-F: 0.408\ntestset: URL, BLEU: 27.0, chr-F: 0.529\ntestset: URL, BLEU: 17.2, chr-F: 0.438\ntestset: URL, BLEU: 9.0, chr-F: 0.342\ntestset: URL, BLEU: 22.6, chr-F: 0.512\ntestset: URL, BLEU: 24.1, chr-F: 0.503\ntestset: URL, BLEU: 13.9, chr-F: 0.427\ntestset: URL, BLEU: 15.2, chr-F: 0.428\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 16.8, chr-F: 0.442\ntestset: URL, BLEU: 2.4, chr-F: 0.190\ntestset: URL, BLEU: 1.1, chr-F: 0.111\ntestset: URL, BLEU: 1.7, chr-F: 0.108\ntestset: URL, BLEU: 53.0, chr-F: 0.672\ntestset: URL, BLEU: 5.9, chr-F: 0.239\ntestset: URL, BLEU: 25.6, chr-F: 0.464\ntestset: URL, BLEU: 11.7, chr-F: 0.289\ntestset: URL, BLEU: 26.4, chr-F: 0.443\ntestset: URL, BLEU: 35.9, chr-F: 0.473\ntestset: URL, BLEU: 19.8, chr-F: 0.365\ntestset: URL, BLEU: 31.8, chr-F: 0.467\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 9.7, chr-F: 0.271\ntestset: URL, BLEU: 37.0, chr-F: 0.542\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.2, chr-F: 0.094\ntestset: URL, BLEU: 36.8, chr-F: 0.549\ntestset: URL, BLEU: 39.7, chr-F: 0.546\ntestset: URL, BLEU: 33.6, chr-F: 0.540\ntestset: URL, BLEU: 1.1, chr-F: 0.147\ntestset: URL, BLEU: 14.2, chr-F: 0.303\ntestset: URL, BLEU: 1.7, chr-F: 0.130\ntestset: URL, BLEU: 46.0, chr-F: 0.621\ntestset: URL, BLEU: 46.6, chr-F: 0.636\ntestset: URL, BLEU: 17.4, chr-F: 0.347\ntestset: URL, BLEU: 41.3, chr-F: 0.586\ntestset: URL, BLEU: 7.9, chr-F: 0.232\ntestset: URL, BLEU: 0.7, chr-F: 0.104\ntestset: URL, BLEU: 7.3, chr-F: 0.261\ntestset: URL, BLEU: 8.8, chr-F: 0.244\ntestset: URL, BLEU: 11.0, chr-F: 0.319\ntestset: URL, BLEU: 5.4, chr-F: 0.204\ntestset: URL, BLEU: 58.2, chr-F: 0.643\ntestset: URL, BLEU: 26.3, chr-F: 0.399\ntestset: URL, BLEU: 18.8, chr-F: 0.389\ntestset: URL, BLEU: 23.4, chr-F: 0.407\ntestset: URL, BLEU: 50.5, chr-F: 0.659\ntestset: URL, BLEU: 39.6, chr-F: 0.579\ntestset: URL, BLEU: 24.3, chr-F: 0.449\ntestset: URL, BLEU: 1.0, chr-F: 0.149\ntestset: URL, BLEU: 1.6, chr-F: 0.061\ntestset: URL, BLEU: 7.6, chr-F: 0.236\ntestset: URL, BLEU: 55.4, chr-F: 0.682\ntestset: URL, BLEU: 28.0, chr-F: 0.489\ntestset: URL, BLEU: 41.8, chr-F: 0.591\ntestset: URL, BLEU: 41.5, chr-F: 0.581\ntestset: URL, BLEU: 37.8, chr-F: 0.557\ntestset: URL, BLEU: 10.7, chr-F: 0.262\ntestset: URL, BLEU: 25.5, chr-F: 0.405\ntestset: URL, BLEU: 28.7, chr-F: 0.469\ntestset: URL, BLEU: 7.5, chr-F: 0.281\ntestset: URL, BLEU: 24.2, chr-F: 0.320\ntestset: URL, BLEU: 35.8, chr-F: 0.534\ntestset: URL, BLEU: 15.5, chr-F: 0.434\ntestset: URL, BLEU: 45.1, chr-F: 0.618\ntestset: URL, BLEU: 29.6, chr-F: 0.427\ntestset: URL, BLEU: 5.5, chr-F: 0.138\ntestset: URL, BLEU: 25.3, chr-F: 0.455\ntestset: URL, BLEU: 1.1, chr-F: 0.127\ntestset: URL, BLEU: 16.0, chr-F: 0.315\ntestset: URL, BLEU: 46.7, chr-F: 0.587\ntestset: URL, BLEU: 20.2, chr-F: 0.358\ntestset: URL, BLEU: 43.9, chr-F: 0.592\ntestset: URL, BLEU: 45.1, chr-F: 0.623\ntestset: URL, BLEU: 3.3, chr-F: 0.119\ntestset: URL, BLEU: 20.1, chr-F: 0.364\ntestset: URL, BLEU: 0.1, chr-F: 0.041\ntestset: URL, BLEU: 2.1, chr-F: 0.137\ntestset: URL, BLEU: 1.7, chr-F: 0.152\ntestset: URL, BLEU: 18.2, chr-F: 0.334\ntestset: URL, BLEU: 21.7, chr-F: 0.373\ntestset: URL, BLEU: 34.5, chr-F: 0.502\ntestset: URL, BLEU: 10.5, chr-F: 0.295\ntestset: URL, BLEU: 2.8, chr-F: 0.160\ntestset: URL, BLEU: 46.7, chr-F: 0.623\ntestset: URL, BLEU: 33.0, chr-F: 0.492\ntestset: URL, BLEU: 17.0, chr-F: 0.391\ntestset: URL, BLEU: 16.0, chr-F: 0.339\ntestset: URL, BLEU: 36.4, chr-F: 0.533\ntestset: URL, BLEU: 0.4, chr-F: 0.131\ntestset: URL, BLEU: 0.7, chr-F: 0.132\ntestset: URL, BLEU: 41.9, chr-F: 0.551\ntestset: URL, BLEU: 33.2, chr-F: 0.510\ntestset: URL, BLEU: 32.2, chr-F: 0.487\ntestset: URL, BLEU: 9.4, chr-F: 0.278\ntestset: URL, BLEU: 5.8, chr-F: 0.200\ntestset: URL, BLEU: 31.7, chr-F: 0.503\ntestset: URL, BLEU: 9.1, chr-F: 0.164\ntestset: URL, BLEU: 42.2, chr-F: 0.595\ntestset: URL, BLEU: 29.7, chr-F: 0.485\ntestset: URL, BLEU: 42.1, chr-F: 0.607\ntestset: URL, BLEU: 35.7, chr-F: 0.527\ntestset: URL, BLEU: 54.8, chr-F: 0.686\ntestset: URL, BLEU: 28.3, chr-F: 0.526\ntestset: URL, BLEU: 10.0, chr-F: 0.282\ntestset: URL, BLEU: 0.3, chr-F: 0.115\ntestset: URL, BLEU: 5.3, chr-F: 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0.433\ntestset: URL, BLEU: 9.3, chr-F: 0.287\ntestset: URL, BLEU: 2.4, chr-F: 0.196\ntestset: URL, BLEU: 44.0, chr-F: 0.597\ntestset: URL, BLEU: 1.6, chr-F: 0.115\ntestset: URL, BLEU: 2.0, chr-F: 0.113\ntestset: URL, BLEU: 18.3, chr-F: 0.312\ntestset: URL, BLEU: 25.4, chr-F: 0.395\ntestset: URL, BLEU: 35.9, chr-F: 0.509\ntestset: URL, BLEU: 5.1, chr-F: 0.357\ntestset: URL, BLEU: 2.8, chr-F: 0.123\ntestset: URL, BLEU: 5.7, chr-F: 0.175\ntestset: URL, BLEU: 56.3, chr-F: 0.703\ntestset: URL, BLEU: 37.5, chr-F: 0.534\ntestset: URL, BLEU: 22.8, chr-F: 0.470\ntestset: URL, BLEU: 2.0, chr-F: 0.110\ntestset: URL, BLEU: 59.2, chr-F: 0.764\ntestset: URL, BLEU: 9.0, chr-F: 0.199\ntestset: URL, BLEU: 44.3, chr-F: 0.593\ntestset: URL, BLEU: 31.9, chr-F: 0.424\ntestset: URL, BLEU: 38.6, chr-F: 0.540\ntestset: URL, BLEU: 2.5, chr-F: 0.101\ntestset: URL, BLEU: 0.3, chr-F: 0.110\ntestset: URL, BLEU: 13.5, chr-F: 0.334\ntestset: URL, BLEU: 8.5, chr-F: 0.260\ntestset: URL, BLEU: 33.9, chr-F: 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null	null	transformers	### opus-mt-ng-en * source languages: ng * target languages: en * OPUS readme: [ng-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ng-en/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/ng-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ng-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ng-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ng.en \| 27.3 \| 0.443 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ng-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ng", "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 #ng #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ng-en * source languages: ng * target languages: en * OPUS readme: ng-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: 27.3, chr-F: 0.443	[ "### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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: 27.3, chr-F: 0.443" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ng #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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: 27.3, chr-F: 0.443" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ng #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ng-en\n\n\n* source languages: ng\n* target languages: en\n* OPUS readme: ng-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	### nic-eng * source group: Niger-Kordofanian languages * target group: English * OPUS readme: [nic-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nic-eng/README.md) * model: transformer * source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul * 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/nic-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.bam-eng.bam.eng \| 2.4 \| 0.090 \| \| Tatoeba-test.ewe-eng.ewe.eng \| 10.3 \| 0.384 \| \| Tatoeba-test.ful-eng.ful.eng \| 1.2 \| 0.114 \| \| Tatoeba-test.ibo-eng.ibo.eng \| 7.5 \| 0.197 \| \| Tatoeba-test.kin-eng.kin.eng \| 30.7 \| 0.481 \| \| Tatoeba-test.lin-eng.lin.eng \| 3.1 \| 0.185 \| \| Tatoeba-test.lug-eng.lug.eng \| 3.1 \| 0.261 \| \| Tatoeba-test.multi.eng \| 21.3 \| 0.377 \| \| Tatoeba-test.nya-eng.nya.eng \| 31.6 \| 0.502 \| \| Tatoeba-test.run-eng.run.eng \| 24.9 \| 0.420 \| \| Tatoeba-test.sag-eng.sag.eng \| 5.2 \| 0.231 \| \| Tatoeba-test.sna-eng.sna.eng \| 20.1 \| 0.374 \| \| Tatoeba-test.swa-eng.swa.eng \| 4.6 \| 0.191 \| \| Tatoeba-test.toi-eng.toi.eng \| 4.8 \| 0.122 \| \| Tatoeba-test.tso-eng.tso.eng \| 100.0 \| 1.000 \| \| Tatoeba-test.umb-eng.umb.eng \| 9.0 \| 0.246 \| \| Tatoeba-test.wol-eng.wol.eng \| 14.0 \| 0.212 \| \| Tatoeba-test.xho-eng.xho.eng \| 38.2 \| 0.558 \| \| Tatoeba-test.yor-eng.yor.eng \| 21.2 \| 0.364 \| \| Tatoeba-test.zul-eng.zul.eng \| 42.3 \| 0.589 \| ### System Info: - hf_name: nic-eng - source_languages: nic - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nic-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en'] - src_constituents: {'bam_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.test.txt - src_alpha3: nic - tgt_alpha3: eng - short_pair: nic-en - chrF2_score: 0.377 - bleu: 21.3 - brevity_penalty: 1.0 - ref_len: 15228.0 - src_name: Niger-Kordofanian languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: nic - tgt_alpha2: en - prefer_old: False - long_pair: nic-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nic-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #nic #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nic-eng * source group: Niger-Kordofanian languages * target group: English * OPUS readme: nic-eng * model: transformer * source language(s): bam\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul * 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: 2.4, chr-F: 0.090 testset: URL, BLEU: 10.3, chr-F: 0.384 testset: URL, BLEU: 1.2, chr-F: 0.114 testset: URL, BLEU: 7.5, chr-F: 0.197 testset: URL, BLEU: 30.7, chr-F: 0.481 testset: URL, BLEU: 3.1, chr-F: 0.185 testset: URL, BLEU: 3.1, chr-F: 0.261 testset: URL, BLEU: 21.3, chr-F: 0.377 testset: URL, BLEU: 31.6, chr-F: 0.502 testset: URL, BLEU: 24.9, chr-F: 0.420 testset: URL, BLEU: 5.2, chr-F: 0.231 testset: URL, BLEU: 20.1, chr-F: 0.374 testset: URL, BLEU: 4.6, chr-F: 0.191 testset: URL, BLEU: 4.8, chr-F: 0.122 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 9.0, chr-F: 0.246 testset: URL, BLEU: 14.0, chr-F: 0.212 testset: URL, BLEU: 38.2, chr-F: 0.558 testset: URL, BLEU: 21.2, chr-F: 0.364 testset: URL, BLEU: 42.3, chr-F: 0.589 ### System Info: * hf\_name: nic-eng * source\_languages: nic * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en'] * src\_constituents: {'bam\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\_Latn', 'umb'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nic * tgt\_alpha3: eng * short\_pair: nic-en * chrF2\_score: 0.377 * bleu: 21.3 * brevity\_penalty: 1.0 * ref\_len: 15228.0 * src\_name: Niger-Kordofanian languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: nic * tgt\_alpha2: en * prefer\_old: False * long\_pair: nic-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589", "### System Info:\n\n\n* hf\\_name: nic-eng\n* source\\_languages: nic\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']\n* src\\_constituents: {'bam\\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\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: nic\n* tgt\\_alpha3: eng\n* short\\_pair: nic-en\n* chrF2\\_score: 0.377\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 15228.0\n* src\\_name: Niger-Kordofanian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: nic\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: nic-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 #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #nic #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589", "### System Info:\n\n\n* hf\\_name: nic-eng\n* source\\_languages: nic\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']\n* src\\_constituents: {'bam\\_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\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: nic\n* tgt\\_alpha3: eng\n* short\\_pair: nic-en\n* chrF2\\_score: 0.377\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 15228.0\n* src\\_name: Niger-Kordofanian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: nic\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: nic-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 95, 479, 548 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #nic #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "passage: ### nic-eng\n\n\n* source group: Niger-Kordofanian languages\n* target group: English\n* OPUS readme: nic-eng\n* model: transformer\n* source language(s): bam\\_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 2.4, chr-F: 0.090\ntestset: URL, BLEU: 10.3, chr-F: 0.384\ntestset: URL, BLEU: 1.2, chr-F: 0.114\ntestset: URL, BLEU: 7.5, chr-F: 0.197\ntestset: URL, BLEU: 30.7, chr-F: 0.481\ntestset: URL, BLEU: 3.1, chr-F: 0.185\ntestset: URL, BLEU: 3.1, chr-F: 0.261\ntestset: URL, BLEU: 21.3, chr-F: 0.377\ntestset: URL, BLEU: 31.6, chr-F: 0.502\ntestset: URL, BLEU: 24.9, chr-F: 0.420\ntestset: URL, BLEU: 5.2, chr-F: 0.231\ntestset: URL, BLEU: 20.1, chr-F: 0.374\ntestset: URL, BLEU: 4.6, chr-F: 0.191\ntestset: URL, BLEU: 4.8, chr-F: 0.122\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 9.0, chr-F: 0.246\ntestset: URL, BLEU: 14.0, chr-F: 0.212\ntestset: URL, BLEU: 38.2, chr-F: 0.558\ntestset: URL, BLEU: 21.2, chr-F: 0.364\ntestset: URL, BLEU: 42.3, chr-F: 0.589" ]	[ -0.10856811702251434, 0.1087600514292717, -0.007879060693085194, 0.06035869941115379, 0.005609339103102684, 0.055998824536800385, 0.09356497973203659, 0.13543005287647247, 0.041887931525707245, 0.050213683396577835, 0.1372677981853485, 0.11030630767345428, 0.026716813445091248, 0.08657016605138779, -0.015227362513542175, -0.12267763167619705, 0.014653296209871769, 0.017383072525262833, -0.0996101126074791, 0.11516087502241135, 0.06153859570622444, -0.010285882279276848, 0.06685562431812286, -0.04710732027888298, -0.004554267972707748, 0.02259756252169609, 0.015853412449359894, -0.03780774027109146, 0.067045658826828, 0.09147945046424866, 0.03441104665398598, 0.10056498646736145, 0.0061707510612905025, -0.20946010947227478, 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null	null	transformers	### opus-mt-niu-de * source languages: niu * target languages: de * OPUS readme: [niu-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-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/niu-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.de \| 20.2 \| 0.395 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-de * source languages: niu * target languages: de * OPUS readme: niu-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: 20.2, chr-F: 0.395	[ "### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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: 20.2, chr-F: 0.395" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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: 20.2, chr-F: 0.395" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-de\n\n\n* source languages: niu\n* target languages: de\n* OPUS readme: niu-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-niu-en * source languages: niu * target languages: en * OPUS readme: [niu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-en/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/niu-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.en \| 46.1 \| 0.604 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-en * source languages: niu * target languages: en * OPUS readme: niu-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: 46.1, chr-F: 0.604	[ "### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-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: 46.1, chr-F: 0.604" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-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: 46.1, chr-F: 0.604" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-en\n\n\n* source languages: niu\n* target languages: en\n* OPUS readme: niu-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-niu-es * source languages: niu * target languages: es * OPUS readme: [niu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-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/niu-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.es \| 24.2 \| 0.419 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-es * source languages: niu * target languages: es * OPUS readme: niu-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: 24.2, chr-F: 0.419	[ "### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-es\n\n\n* source languages: niu\n* target languages: es\n* OPUS readme: niu-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: 24.2, chr-F: 0.419" ]	[ -0.07706643640995026, 0.14803241193294525, -0.0034805242903530598, 0.06151588633656502, 0.05877941846847534, 0.033383239060640335, 0.06950347870588303, 0.12431736290454865, -0.008911769837141037, 0.021527616307139397, 0.13838496804237366, 0.12666872143745422, 0.024848155677318573, 0.12878894805908203, -0.03476449102163315, -0.1367291659116745, 0.06890947371721268, 0.029925554990768433, -0.03183108568191528, 0.1373375505208969, 0.07155248522758484, 0.00003655120963230729, 0.08606114983558655, -0.01638607308268547, -0.03574393689632416, 0.075768381357193, 0.0002560098364483565, -0.05964301526546478, 0.04851990565657616, 0.051092009991407394, 0.04017302021384239, 0.07383600622415543, -0.03252343460917473, -0.2389948070049286, 0.010708351619541645, 0.004892310593277216, -0.06912803649902344, 0.004509632475674152, 0.02371978759765625, -0.05679301917552948, 0.1716441959142685, -0.03016670234501362, 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null	null	transformers	### opus-mt-niu-fi * source languages: niu * target languages: fi * OPUS readme: [niu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-fi/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/niu-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.fi \| 24.8 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-fi * source languages: niu * target languages: fi * OPUS readme: niu-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: 24.8, chr-F: 0.474	[ "### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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: 24.8, chr-F: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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: 24.8, chr-F: 0.474" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-fi\n\n\n* source languages: niu\n* target languages: fi\n* OPUS readme: niu-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-niu-fr * source languages: niu * target languages: fr * OPUS readme: [niu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-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/niu-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.fr \| 28.1 \| 0.452 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-fr * source languages: niu * target languages: fr * OPUS readme: niu-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: 28.1, chr-F: 0.452	[ "### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-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: 28.1, chr-F: 0.452" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-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: 28.1, chr-F: 0.452" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-fr\n\n\n* source languages: niu\n* target languages: fr\n* OPUS readme: niu-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: 28.1, chr-F: 0.452" ]	[ -0.08650512993335724, 0.14103767275810242, -0.00329283787868917, 0.0677012950181961, 0.05886095017194748, 0.022986553609371185, 0.04438255354762077, 0.1235421672463417, -0.013471038080751896, 0.029030753299593925, 0.13503021001815796, 0.11606252938508987, 0.02231980673968792, 0.1252138912677765, -0.05243978276848793, -0.1271224170923233, 0.061113614588975906, 0.0362279899418354, -0.05327867716550827, 0.13818107545375824, 0.06658085435628891, -0.000045192278776085004, 0.08772767335176468, -0.007842756807804108, -0.056072577834129333, 0.06620634347200394, 0.008105405606329441, -0.04818710684776306, 0.04049541428685188, 0.05898042395710945, 0.03362991660833359, 0.07267996668815613, -0.033848684281110764, -0.23498544096946716, 0.017231324687600136, 0.00868101604282856, -0.06805790960788727, 0.00938615296036005, 0.033139847218990326, -0.062291454523801804, 0.19701290130615234, -0.020191067829728127, 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null	null	transformers	### opus-mt-niu-sv * source languages: niu * target languages: sv * OPUS readme: [niu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-sv/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/niu-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.niu.sv \| 29.2 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-niu-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "niu", "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 #niu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-niu-sv * source languages: niu * target languages: sv * OPUS readme: niu-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: 29.2, chr-F: 0.478	[ "### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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: 29.2, chr-F: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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: 29.2, chr-F: 0.478" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #niu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-niu-sv\n\n\n* source languages: niu\n* target languages: sv\n* OPUS readme: niu-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	### nld-afr * source group: Dutch * target group: Afrikaans * OPUS readme: [nld-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md) * model: transformer-align * source language(s): nld * target language(s): afr * 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/nld-afr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nld.afr \| 57.8 \| 0.749 \| ### System Info: - hf_name: nld-afr - source_languages: nld - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'af'] - src_constituents: {'nld'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.test.txt - src_alpha3: nld - tgt_alpha3: afr - short_pair: nl-af - chrF2_score: 0.7490000000000001 - bleu: 57.8 - brevity_penalty: 1.0 - ref_len: 6823.0 - src_name: Dutch - tgt_name: Afrikaans - train_date: 2020-06-17 - src_alpha2: nl - tgt_alpha2: af - prefer_old: False - long_pair: nld-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "af"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-af	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "nl", "af" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nld-afr * source group: Dutch * target group: Afrikaans * OPUS readme: nld-afr * model: transformer-align * source language(s): nld * target language(s): afr * 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: 57.8, chr-F: 0.749 ### System Info: * hf\_name: nld-afr * source\_languages: nld * target\_languages: afr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'af'] * src\_constituents: {'nld'} * tgt\_constituents: {'afr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nld * tgt\_alpha3: afr * short\_pair: nl-af * chrF2\_score: 0.7490000000000001 * bleu: 57.8 * brevity\_penalty: 1.0 * ref\_len: 6823.0 * src\_name: Dutch * tgt\_name: Afrikaans * train\_date: 2020-06-17 * src\_alpha2: nl * tgt\_alpha2: af * prefer\_old: False * long\_pair: nld-afr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\n* target language(s): afr\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: 57.8, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: nld-afr\n* source\\_languages: nld\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'af']\n* src\\_constituents: {'nld'}\n* tgt\\_constituents: {'afr'}\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: nld\n* tgt\\_alpha3: afr\n* short\\_pair: nl-af\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 6823.0\n* src\\_name: Dutch\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: nld-afr\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 #nl #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\n* target language(s): afr\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: 57.8, chr-F: 0.749", "### System Info:\n\n\n* hf\\_name: nld-afr\n* source\\_languages: nld\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'af']\n* src\\_constituents: {'nld'}\n* tgt\\_constituents: {'afr'}\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: nld\n* tgt\\_alpha3: afr\n* short\\_pair: nl-af\n* chrF2\\_score: 0.7490000000000001\n* bleu: 57.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 6823.0\n* src\\_name: Dutch\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: nld-afr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 126, 401 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-afr\n\n\n* source group: Dutch\n* target group: Afrikaans\n* OPUS readme: nld-afr\n* model: transformer-align\n* source language(s): nld\n* target language(s): afr\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: 57.8, chr-F: 0.749" ]	[ -0.10037814825773239, 0.051937103271484375, -0.00206766021437943, 0.07545927911996841, 0.05525849014520645, -0.0056519596837460995, 0.05888928472995758, 0.11811303347349167, 0.013099400326609612, 0.008772200904786587, 0.09267482161521912, 0.08995391428470612, 0.031847819685935974, 0.11145762354135513, -0.027022838592529297, -0.1734592765569687, 0.06495026499032974, 0.05189046263694763, -0.044378191232681274, 0.1343899518251419, 0.09435394406318665, -0.02858056128025055, 0.10298418253660202, -0.0065625389106571674, -0.02577713504433632, 0.08664222061634064, 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null	null	transformers	### nld-cat * source group: Dutch * target group: Catalan * OPUS readme: [nld-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-cat/README.md) * model: transformer-align * source language(s): nld * 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/nld-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nld.cat \| 42.1 \| 0.624 \| ### System Info: - hf_name: nld-cat - source_languages: nld - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'ca'] - src_constituents: {'nld'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.test.txt - src_alpha3: nld - tgt_alpha3: cat - short_pair: nl-ca - chrF2_score: 0.624 - bleu: 42.1 - brevity_penalty: 0.988 - ref_len: 3942.0 - src_name: Dutch - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: nl - tgt_alpha2: ca - prefer_old: False - long_pair: nld-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "ca"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-ca	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "nl", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nld-cat * source group: Dutch * target group: Catalan * OPUS readme: nld-cat * model: transformer-align * source language(s): nld * 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: 42.1, chr-F: 0.624 ### System Info: * hf\_name: nld-cat * source\_languages: nld * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'ca'] * src\_constituents: {'nld'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nld * tgt\_alpha3: cat * short\_pair: nl-ca * chrF2\_score: 0.624 * bleu: 42.1 * brevity\_penalty: 0.988 * ref\_len: 3942.0 * src\_name: Dutch * tgt\_name: Catalan * train\_date: 2020-06-16 * src\_alpha2: nl * tgt\_alpha2: ca * prefer\_old: False * long\_pair: nld-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624", "### System Info:\n\n\n* hf\\_name: nld-cat\n* source\\_languages: nld\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'ca']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: cat\n* short\\_pair: nl-ca\n* chrF2\\_score: 0.624\n* bleu: 42.1\n* brevity\\_penalty: 0.988\n* ref\\_len: 3942.0\n* src\\_name: Dutch\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624", "### System Info:\n\n\n* hf\\_name: nld-cat\n* source\\_languages: nld\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'ca']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: cat\n* short\\_pair: nl-ca\n* chrF2\\_score: 0.624\n* bleu: 42.1\n* brevity\\_penalty: 0.988\n* ref\\_len: 3942.0\n* src\\_name: Dutch\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: nld-cat\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 #nl #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-cat\n\n\n* source group: Dutch\n* target group: Catalan\n* OPUS readme: nld-cat\n* model: transformer-align\n* source language(s): nld\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: 42.1, chr-F: 0.624" ]	[ -0.11051686108112335, 0.15721696615219116, -0.0023560344707220793, 0.0429910309612751, 0.0632116049528122, -0.014508458785712719, 0.02760552428662777, 0.139659121632576, 0.07557760179042816, 0.03174015134572983, 0.09485290199518204, 0.14673881232738495, 0.04597863927483559, 0.07774849981069565, -0.00884914118796587, -0.15963973104953766, 0.10826405882835388, 0.05313264951109886, -0.0358918271958828, 0.1317625194787979, 0.08741956204175949, -0.027709800750017166, 0.1005653589963913, 0.006890723016113043, -0.03031928278505802, 0.06231295317411423, -0.02905035950243473, -0.07640804350376129, 0.0591408908367157, 0.019685301929712296, 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null	null	transformers	### opus-mt-nl-en * source languages: nl * target languages: en * OPUS readme: [nl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-05.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.zip) * test set translations: [opus-2019-12-05.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.test.txt) * test set scores: [opus-2019-12-05.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.nl.en \| 60.9 \| 0.749 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-en	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "nl", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #nl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nl-en * source languages: nl * target languages: en * OPUS readme: nl-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: 60.9, chr-F: 0.749	[ "### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #nl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]	[ 63, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #nl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-en\n\n\n* source languages: nl\n* target languages: en\n* OPUS readme: nl-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: 60.9, chr-F: 0.749" ]	[ -0.1105964258313179, 0.13713876903057098, -0.003884275211021304, 0.08777730911970139, 0.04619757458567619, -0.005844274070113897, 0.051191844046115875, 0.15258948504924774, 0.002341171959415078, -0.009226283058524132, 0.12338804453611374, 0.14095118641853333, -0.00508869206532836, 0.11424213647842407, -0.06830956041812897, -0.13138923048973083, 0.04624322056770325, 0.04814708232879639, -0.055373769253492355, 0.14297746121883392, 0.08428604155778885, -0.015339693054556847, 0.09985290467739105, -0.02117777056992054, -0.01595592126250267, 0.08489535003900528, 0.007344482000917196, -0.0727386325597763, 0.06331756711006165, 0.057596635073423386, 0.036167290061712265, 0.05332808941602707, -0.014137067832052708, -0.21932855248451233, 0.00960810948163271, 0.005429059732705355, -0.04338297247886658, 0.007806332316249609, 0.038398388773202896, -0.08843290060758591, 0.1671624630689621, -0.06280563026666641, 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null	null	transformers	### nld-epo * source group: Dutch * target group: Esperanto * OPUS readme: [nld-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md) * model: transformer-align * source language(s): nld * 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/nld-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nld.epo \| 16.1 \| 0.355 \| ### System Info: - hf_name: nld-epo - source_languages: nld - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'eo'] - src_constituents: {'nld'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt - src_alpha3: nld - tgt_alpha3: epo - short_pair: nl-eo - chrF2_score: 0.355 - bleu: 16.1 - brevity_penalty: 0.9359999999999999 - ref_len: 72293.0 - src_name: Dutch - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: nl - tgt_alpha2: eo - prefer_old: False - long_pair: nld-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "eo"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "nl", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nld-epo * source group: Dutch * target group: Esperanto * OPUS readme: nld-epo * model: transformer-align * source language(s): nld * 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: 16.1, chr-F: 0.355 ### System Info: * hf\_name: nld-epo * source\_languages: nld * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'eo'] * src\_constituents: {'nld'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nld * tgt\_alpha3: epo * short\_pair: nl-eo * chrF2\_score: 0.355 * bleu: 16.1 * brevity\_penalty: 0.9359999999999999 * ref\_len: 72293.0 * src\_name: Dutch * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: nl * tgt\_alpha2: eo * prefer\_old: False * long\_pair: nld-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355", "### System Info:\n\n\n* hf\\_name: nld-epo\n* source\\_languages: nld\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'eo']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: epo\n* short\\_pair: nl-eo\n* chrF2\\_score: 0.355\n* bleu: 16.1\n* brevity\\_penalty: 0.9359999999999999\n* ref\\_len: 72293.0\n* src\\_name: Dutch\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355", "### System Info:\n\n\n* hf\\_name: nld-epo\n* source\\_languages: nld\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'eo']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: epo\n* short\\_pair: nl-eo\n* chrF2\\_score: 0.355\n* bleu: 16.1\n* brevity\\_penalty: 0.9359999999999999\n* ref\\_len: 72293.0\n* src\\_name: Dutch\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: nl\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: nld-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 125, 403 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-epo\n\n\n* source group: Dutch\n* target group: Esperanto\n* OPUS readme: nld-epo\n* model: transformer-align\n* source language(s): nld\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: 16.1, chr-F: 0.355" ]	[ -0.08864656090736389, 0.10344777256250381, -0.003982142545282841, 0.05761564150452614, 0.07325904816389084, 0.0029784326907247305, 0.07168424874544144, 0.1265135109424591, 0.03079093061387539, 0.010556899011135101, 0.09894677251577377, 0.13314449787139893, 0.03830603510141373, 0.1330607831478119, -0.030815940350294113, -0.2241276651620865, 0.06145298480987549, 0.07477308064699173, -0.057650595903396606, 0.10671641677618027, 0.10529583692550659, -0.031465958803892136, 0.10590717196464539, 0.024329140782356262, 0.005459806881844997, 0.11126463115215302, 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null	null	transformers	### opus-mt-nl-es * source languages: nl * target languages: es * OPUS readme: [nl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-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/nl-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.nl.es \| 51.6 \| 0.698 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "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 #nl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nl-es * source languages: nl * target languages: es * OPUS readme: nl-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: 51.6, chr-F: 0.698	[ "### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-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: 51.6, chr-F: 0.698" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-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: 51.6, chr-F: 0.698" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-es\n\n\n* source languages: nl\n* target languages: es\n* OPUS readme: nl-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-nl-fi * source languages: nl * target languages: fi * OPUS readme: [nl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nl.fi \| 28.6 \| 0.569 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "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 #nl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nl-fi * source languages: nl * target languages: fi * OPUS readme: nl-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: 28.6, chr-F: 0.569	[ "### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-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: 28.6, chr-F: 0.569" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-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: 28.6, chr-F: 0.569" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-fi\n\n\n* source languages: nl\n* target languages: fi\n* OPUS readme: nl-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-nl-fr * source languages: nl * target languages: fr * OPUS readme: [nl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fr/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/nl-fr/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fr/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fr/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.nl.fr \| 51.3 \| 0.674 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "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 #nl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nl-fr * source languages: nl * target languages: fr * OPUS readme: nl-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: 51.3, chr-F: 0.674	[ "### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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: 51.3, chr-F: 0.674" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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: 51.3, chr-F: 0.674" ]	[ 61, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-fr\n\n\n* source languages: nl\n* target languages: fr\n* OPUS readme: nl-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	### nld-nor * source group: Dutch * target group: Norwegian * OPUS readme: [nld-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-nor/README.md) * model: transformer-align * source language(s): nld * target language(s): nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nld.nor \| 36.1 \| 0.562 \| ### System Info: - hf_name: nld-nor - source_languages: nld - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'no'] - src_constituents: {'nld'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.test.txt - src_alpha3: nld - tgt_alpha3: nor - short_pair: nl-no - chrF2_score: 0.562 - bleu: 36.1 - brevity_penalty: 0.966 - ref_len: 1459.0 - src_name: Dutch - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: nl - tgt_alpha2: no - prefer_old: False - long_pair: nld-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", false], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-no	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "nl", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nld-nor * source group: Dutch * target group: Norwegian * OPUS readme: nld-nor * model: transformer-align * source language(s): nld * target language(s): nob * 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: 36.1, chr-F: 0.562 ### System Info: * hf\_name: nld-nor * source\_languages: nld * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'no'] * src\_constituents: {'nld'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nld * tgt\_alpha3: nor * short\_pair: nl-no * chrF2\_score: 0.562 * bleu: 36.1 * brevity\_penalty: 0.966 * ref\_len: 1459.0 * src\_name: Dutch * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: nl * tgt\_alpha2: no * prefer\_old: False * long\_pair: nld-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: nld-nor\n* source\\_languages: nld\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'no']\n* src\\_constituents: {'nld'}\n* tgt\\_constituents: {'nob', 'nno'}\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: nld\n* tgt\\_alpha3: nor\n* short\\_pair: nl-no\n* chrF2\\_score: 0.562\n* bleu: 36.1\n* brevity\\_penalty: 0.966\n* ref\\_len: 1459.0\n* src\\_name: Dutch\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nld-nor\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 #nl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562", "### System Info:\n\n\n* hf\\_name: nld-nor\n* source\\_languages: nld\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'no']\n* src\\_constituents: {'nld'}\n* tgt\\_constituents: {'nob', 'nno'}\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: nld\n* tgt\\_alpha3: nor\n* short\\_pair: nl-no\n* chrF2\\_score: 0.562\n* bleu: 36.1\n* brevity\\_penalty: 0.966\n* ref\\_len: 1459.0\n* src\\_name: Dutch\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nld-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 401 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-nor\n\n\n* source group: Dutch\n* target group: Norwegian\n* OPUS readme: nld-nor\n* model: transformer-align\n* source language(s): nld\n* target language(s): nob\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: 36.1, chr-F: 0.562" ]	[ -0.08850667625665665, 0.08387298882007599, -0.003066360019147396, 0.07755029201507568, 0.02563745342195034, -0.007127309683710337, 0.08083097636699677, 0.12863875925540924, 0.00743128964677453, 0.012177676893770695, 0.10578111559152603, 0.08838504552841187, 0.01628338173031807, 0.06445839256048203, -0.013958504423499107, -0.1847081035375595, 0.07928383350372314, 0.038449082523584366, -0.047912903130054474, 0.13784480094909668, 0.08216678351163864, -0.013652116991579533, 0.08346453309059143, -0.01276351511478424, -0.013576650060713291, 0.06445049494504929, -0.018072975799441338, 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null	null	transformers	### opus-mt-nl-sv * source languages: nl * target languages: sv * OPUS readme: [nl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-sv/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/nl-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.nl.sv \| 25.0 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "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 #nl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nl-sv * source languages: nl * target languages: sv * OPUS readme: nl-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: 0.518	[ "### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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: 0.518" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nl-sv\n\n\n* source languages: nl\n* target languages: sv\n* OPUS readme: nl-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	### nld-ukr * source group: Dutch * target group: Ukrainian * OPUS readme: [nld-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md) * model: transformer-align * source language(s): nld * 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/nld-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nld.ukr \| 40.8 \| 0.619 \| ### System Info: - hf_name: nld-ukr - source_languages: nld - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'uk'] - src_constituents: {'nld'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.test.txt - src_alpha3: nld - tgt_alpha3: ukr - short_pair: nl-uk - chrF2_score: 0.619 - bleu: 40.8 - brevity_penalty: 0.992 - ref_len: 51674.0 - src_name: Dutch - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: nl - tgt_alpha2: uk - prefer_old: False - long_pair: nld-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "uk"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nl-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "nl", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nld-ukr * source group: Dutch * target group: Ukrainian * OPUS readme: nld-ukr * model: transformer-align * source language(s): nld * 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: 40.8, chr-F: 0.619 ### System Info: * hf\_name: nld-ukr * source\_languages: nld * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'uk'] * src\_constituents: {'nld'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nld * tgt\_alpha3: ukr * short\_pair: nl-uk * chrF2\_score: 0.619 * bleu: 40.8 * brevity\_penalty: 0.992 * ref\_len: 51674.0 * src\_name: Dutch * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: nl * tgt\_alpha2: uk * prefer\_old: False * long\_pair: nld-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619", "### System Info:\n\n\n* hf\\_name: nld-ukr\n* source\\_languages: nld\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'uk']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: ukr\n* short\\_pair: nl-uk\n* chrF2\\_score: 0.619\n* bleu: 40.8\n* brevity\\_penalty: 0.992\n* ref\\_len: 51674.0\n* src\\_name: Dutch\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nld-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 #nl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619", "### System Info:\n\n\n* hf\\_name: nld-ukr\n* source\\_languages: nld\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'uk']\n* src\\_constituents: {'nld'}\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: nld\n* tgt\\_alpha3: ukr\n* short\\_pair: nl-uk\n* chrF2\\_score: 0.619\n* bleu: 40.8\n* brevity\\_penalty: 0.992\n* ref\\_len: 51674.0\n* src\\_name: Dutch\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: nl\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nld-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 126, 399 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nld-ukr\n\n\n* source group: Dutch\n* target group: Ukrainian\n* OPUS readme: nld-ukr\n* model: transformer-align\n* source language(s): nld\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: 40.8, chr-F: 0.619" ]	[ -0.093536876142025, 0.03689384460449219, -0.0032328360248357058, 0.04605046287178993, 0.07418382167816162, 0.019589219242334366, 0.09988424181938171, 0.12372270226478577, 0.050223831087350845, 0.020338255912065506, 0.1069667860865593, 0.09177373349666595, 0.019038142636418343, 0.0784493014216423, 0.013146807439625263, -0.2022811770439148, 0.08381429314613342, 0.033523354679346085, -0.08342377096414566, 0.1269865483045578, 0.10636267811059952, -0.038997583091259, 0.09010836482048035, -0.007543428801000118, -0.023141801357269287, 0.08653031289577484, -0.008613967336714268, -0.07677601277828217, 0.06500894576311111, 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null	null	transformers	### nor-dan * source group: Norwegian * target group: Danish * OPUS readme: [nor-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md) * model: transformer-align * source language(s): nno nob * target language(s): dan * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.dan \| 65.0 \| 0.792 \| ### System Info: - hf_name: nor-dan - source_languages: nor - target_languages: dan - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'da'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'dan'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: dan - short_pair: no-da - chrF2_score: 0.792 - bleu: 65.0 - brevity_penalty: 0.995 - ref_len: 9865.0 - src_name: Norwegian - tgt_name: Danish - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: da - prefer_old: False - long_pair: nor-dan - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "da"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-da	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "da", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "da" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-dan * source group: Norwegian * target group: Danish * OPUS readme: nor-dan * model: transformer-align * source language(s): nno nob * target language(s): dan * 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: 65.0, chr-F: 0.792 ### System Info: * hf\_name: nor-dan * source\_languages: nor * target\_languages: dan * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'da'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'dan'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: dan * short\_pair: no-da * chrF2\_score: 0.792 * bleu: 65.0 * brevity\_penalty: 0.995 * ref\_len: 9865.0 * src\_name: Norwegian * tgt\_name: Danish * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: da * prefer\_old: False * long\_pair: nor-dan * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792", "### System Info:\n\n\n* hf\\_name: nor-dan\n* source\\_languages: nor\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'da']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'dan'}\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: nor\n* tgt\\_alpha3: dan\n* short\\_pair: no-da\n* chrF2\\_score: 0.792\n* bleu: 65.0\n* brevity\\_penalty: 0.995\n* ref\\_len: 9865.0\n* src\\_name: Norwegian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792", "### System Info:\n\n\n* hf\\_name: nor-dan\n* source\\_languages: nor\n* target\\_languages: dan\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'da']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'dan'}\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: nor\n* tgt\\_alpha3: dan\n* short\\_pair: no-da\n* chrF2\\_score: 0.792\n* bleu: 65.0\n* brevity\\_penalty: 0.995\n* ref\\_len: 9865.0\n* src\\_name: Norwegian\n* tgt\\_name: Danish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: da\n* prefer\\_old: False\n* long\\_pair: nor-dan\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 #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-dan\n\n\n* source group: Norwegian\n* target group: Danish\n* OPUS readme: nor-dan\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): dan\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: 65.0, chr-F: 0.792" ]	[ -0.09116087853908539, 0.08143613487482071, -0.0024039591662585735, 0.06772854179143906, 0.04540546238422394, 0.0057671512477099895, 0.10039237141609192, 0.12021634727716446, -0.00400451198220253, 0.0247181449085474, 0.1144879013299942, 0.09550457447767258, 0.02515299990773201, 0.1163427084684372, -0.02573697827756405, -0.20437650382518768, 0.0931435376405716, 0.04383149370551109, -0.04269469901919365, 0.13024811446666718, 0.08589746803045273, -0.018805457279086113, 0.07545912265777588, -0.04087107628583908, -0.007108616642653942, 0.05088274925947189, 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null	null	transformers	### nor-deu * source group: Norwegian * target group: German * OPUS readme: [nor-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md) * model: transformer-align * source language(s): nno nob * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.deu \| 29.6 \| 0.541 \| ### System Info: - hf_name: nor-deu - source_languages: nor - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'de'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: deu - short_pair: no-de - chrF2_score: 0.541 - bleu: 29.6 - brevity_penalty: 0.96 - ref_len: 34575.0 - src_name: Norwegian - tgt_name: German - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: de - prefer_old: False - long_pair: nor-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "de"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "de" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-deu * source group: Norwegian * target group: German * OPUS readme: nor-deu * model: transformer-align * source language(s): nno nob * target language(s): deu * 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: 29.6, chr-F: 0.541 ### System Info: * hf\_name: nor-deu * source\_languages: nor * target\_languages: deu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'de'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'deu'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: deu * short\_pair: no-de * chrF2\_score: 0.541 * bleu: 29.6 * brevity\_penalty: 0.96 * ref\_len: 34575.0 * src\_name: Norwegian * tgt\_name: German * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: de * prefer\_old: False * long\_pair: nor-deu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\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: 29.6, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: nor-deu\n* source\\_languages: nor\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'de']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'deu'}\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: nor\n* tgt\\_alpha3: deu\n* short\\_pair: no-de\n* chrF2\\_score: 0.541\n* bleu: 29.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 34575.0\n* src\\_name: Norwegian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: nor-deu\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 #no #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\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: 29.6, chr-F: 0.541", "### System Info:\n\n\n* hf\\_name: nor-deu\n* source\\_languages: nor\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'de']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'deu'}\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: nor\n* tgt\\_alpha3: deu\n* short\\_pair: no-de\n* chrF2\\_score: 0.541\n* bleu: 29.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 34575.0\n* src\\_name: Norwegian\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: nor-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 125, 398 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-deu\n\n\n* source group: Norwegian\n* target group: German\n* OPUS readme: nor-deu\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): deu\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: 29.6, chr-F: 0.541" ]	[ -0.09870697557926178, 0.05711205676198006, -0.002212900435552001, 0.07531850785017014, 0.06831157952547073, 0.02233327552676201, 0.09823428839445114, 0.09594805538654327, -0.01945960894227028, 0.0128709701821208, 0.09684134274721146, 0.0730128064751625, 0.03750225529074669, 0.08398004621267319, -0.014829121530056, -0.19483281672000885, 0.08694284409284592, 0.03808891028165817, -0.07032155245542526, 0.11028801649808884, 0.08925285190343857, -0.009892348200082779, 0.08575540781021118, -0.040789175778627396, 0.0021069932263344526, 0.08521024137735367, 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null	null	transformers	### nor-spa * source group: Norwegian * target group: Spanish * OPUS readme: [nor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-spa/README.md) * model: transformer-align * source language(s): nno nob * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.spa \| 34.2 \| 0.565 \| ### System Info: - hf_name: nor-spa - source_languages: nor - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'es'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: spa - short_pair: no-es - chrF2_score: 0.565 - bleu: 34.2 - brevity_penalty: 0.997 - ref_len: 7311.0 - src_name: Norwegian - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: es - prefer_old: False - long_pair: nor-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "es"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-spa * source group: Norwegian * target group: Spanish * OPUS readme: nor-spa * model: transformer-align * source language(s): nno nob * target language(s): spa * 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: 34.2, chr-F: 0.565 ### System Info: * hf\_name: nor-spa * source\_languages: nor * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'es'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: spa * short\_pair: no-es * chrF2\_score: 0.565 * bleu: 34.2 * brevity\_penalty: 0.997 * ref\_len: 7311.0 * src\_name: Norwegian * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: es * prefer\_old: False * long\_pair: nor-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: nor-spa\n* source\\_languages: nor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'es']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'spa'}\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: nor\n* tgt\\_alpha3: spa\n* short\\_pair: no-es\n* chrF2\\_score: 0.565\n* bleu: 34.2\n* brevity\\_penalty: 0.997\n* ref\\_len: 7311.0\n* src\\_name: Norwegian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565", "### System Info:\n\n\n* hf\\_name: nor-spa\n* source\\_languages: nor\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'es']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'spa'}\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: nor\n* tgt\\_alpha3: spa\n* short\\_pair: no-es\n* chrF2\\_score: 0.565\n* bleu: 34.2\n* brevity\\_penalty: 0.997\n* ref\\_len: 7311.0\n* src\\_name: Norwegian\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: nor-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 122, 393 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-spa\n\n\n* source group: Norwegian\n* target group: Spanish\n* OPUS readme: nor-spa\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): spa\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: 34.2, chr-F: 0.565" ]	[ -0.09650139510631561, 0.10606489330530167, -0.0035063717514276505, 0.07318277657032013, 0.07049591094255447, 0.002933874726295471, 0.0813307911157608, 0.12176840007305145, -0.034231036901474, 0.02660984918475151, 0.10193432867527008, 0.08616980165243149, 0.022197287529706955, 0.10626482963562012, -0.03236774727702141, -0.19815585017204285, 0.08163560926914215, 0.02666614204645157, -0.0415397547185421, 0.14068235456943512, 0.0769636482000351, -0.01480127777904272, 0.08556053787469864, -0.020487118512392044, -0.030061446130275726, 0.06537964940071106, 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null	null	transformers	### nor-fin * source group: Norwegian * target group: Finnish * OPUS readme: [nor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fin/README.md) * model: transformer-align * source language(s): nno nob * target language(s): fin * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.fin \| 14.1 \| 0.374 \| ### System Info: - hf_name: nor-fin - source_languages: nor - target_languages: fin - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fin/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'fi'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'fin'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: fin - short_pair: no-fi - chrF2_score: 0.374 - bleu: 14.1 - brevity_penalty: 0.894 - ref_len: 13066.0 - src_name: Norwegian - tgt_name: Finnish - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: fi - prefer_old: False - long_pair: nor-fin - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "fi"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "fi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-fin * source group: Norwegian * target group: Finnish * OPUS readme: nor-fin * model: transformer-align * source language(s): nno nob * target language(s): fin * 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: 14.1, chr-F: 0.374 ### System Info: * hf\_name: nor-fin * source\_languages: nor * target\_languages: fin * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'fi'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'fin'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: fin * short\_pair: no-fi * chrF2\_score: 0.374 * bleu: 14.1 * brevity\_penalty: 0.894 * ref\_len: 13066.0 * src\_name: Norwegian * tgt\_name: Finnish * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: fi * prefer\_old: False * long\_pair: nor-fin * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374", "### System Info:\n\n\n* hf\\_name: nor-fin\n* source\\_languages: nor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fi']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fin'}\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: nor\n* tgt\\_alpha3: fin\n* short\\_pair: no-fi\n* chrF2\\_score: 0.374\n* bleu: 14.1\n* brevity\\_penalty: 0.894\n* ref\\_len: 13066.0\n* src\\_name: Norwegian\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374", "### System Info:\n\n\n* hf\\_name: nor-fin\n* source\\_languages: nor\n* target\\_languages: fin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fi']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fin'}\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: nor\n* tgt\\_alpha3: fin\n* short\\_pair: no-fi\n* chrF2\\_score: 0.374\n* bleu: 14.1\n* brevity\\_penalty: 0.894\n* ref\\_len: 13066.0\n* src\\_name: Norwegian\n* tgt\\_name: Finnish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fi\n* prefer\\_old: False\n* long\\_pair: nor-fin\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 #no #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-fin\n\n\n* source group: Norwegian\n* target group: Finnish\n* OPUS readme: nor-fin\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fin\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: 14.1, chr-F: 0.374" ]	[ -0.10991828143596649, 0.07605549693107605, -0.002480075927451253, 0.07895486056804657, 0.0634283646941185, -0.0008549674530513585, 0.09153708815574646, 0.12298267334699631, 0.0002779110218398273, 0.03313732519745827, 0.0956282913684845, 0.0630422830581665, 0.046717822551727295, 0.11652564257383347, -0.04013809561729431, -0.20177023112773895, 0.0836731493473053, 0.04260740801692009, -0.036128051578998566, 0.1352354884147644, 0.09224914759397507, -0.0018679933855310082, 0.071129709482193, -0.009152163751423359, -0.04194268584251404, 0.05492503568530083, 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null	null	transformers	### nor-fra * source group: Norwegian * target group: French * OPUS readme: [nor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fra/README.md) * model: transformer-align * source language(s): nno nob * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.fra \| 39.1 \| 0.578 \| ### System Info: - hf_name: nor-fra - source_languages: nor - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'fr'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: fra - short_pair: no-fr - chrF2_score: 0.578 - bleu: 39.1 - brevity_penalty: 0.987 - ref_len: 3205.0 - src_name: Norwegian - tgt_name: French - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: fr - prefer_old: False - long_pair: nor-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "fr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "fr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-fra * source group: Norwegian * target group: French * OPUS readme: nor-fra * model: transformer-align * source language(s): nno nob * target language(s): fra * 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: 39.1, chr-F: 0.578 ### System Info: * hf\_name: nor-fra * source\_languages: nor * target\_languages: fra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'fr'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'fra'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: fra * short\_pair: no-fr * chrF2\_score: 0.578 * bleu: 39.1 * brevity\_penalty: 0.987 * ref\_len: 3205.0 * src\_name: Norwegian * tgt\_name: French * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: fr * prefer\_old: False * long\_pair: nor-fra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578", "### System Info:\n\n\n* hf\\_name: nor-fra\n* source\\_languages: nor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fr']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fra'}\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: nor\n* tgt\\_alpha3: fra\n* short\\_pair: no-fr\n* chrF2\\_score: 0.578\n* bleu: 39.1\n* brevity\\_penalty: 0.987\n* ref\\_len: 3205.0\n* src\\_name: Norwegian\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578", "### System Info:\n\n\n* hf\\_name: nor-fra\n* source\\_languages: nor\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'fr']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'fra'}\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: nor\n* tgt\\_alpha3: fra\n* short\\_pair: no-fr\n* chrF2\\_score: 0.578\n* bleu: 39.1\n* brevity\\_penalty: 0.987\n* ref\\_len: 3205.0\n* src\\_name: Norwegian\n* tgt\\_name: French\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: nor-fra\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 #no #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-fra\n\n\n* source group: Norwegian\n* target group: French\n* OPUS readme: nor-fra\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): fra\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: 39.1, chr-F: 0.578" ]	[ -0.10030801594257355, 0.09867444634437561, -0.0031923509668558836, 0.08047559857368469, 0.052002329379320145, -0.004230835009366274, 0.0753733441233635, 0.121355339884758, -0.024912001565098763, 0.01933942921459675, 0.11765249818563461, 0.07575438171625137, 0.01718967780470848, 0.09765774011611938, -0.03426749259233475, -0.17892998456954956, 0.07707010209560394, 0.04483131691813469, -0.05507615953683853, 0.1343507617712021, 0.082504041492939, -0.011922019533813, 0.09344080835580826, -0.008662098087370396, -0.02681630663573742, 0.0692027360200882, 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null	null	transformers	### nor-nld * source group: Norwegian * target group: Dutch * OPUS readme: [nor-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nld/README.md) * model: transformer-align * source language(s): nob * target language(s): nld * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.nld \| 40.2 \| 0.596 \| ### System Info: - hf_name: nor-nld - source_languages: nor - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'nl'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: nld - short_pair: no-nl - chrF2_score: 0.596 - bleu: 40.2 - brevity_penalty: 0.9590000000000001 - ref_len: 1535.0 - src_name: Norwegian - tgt_name: Dutch - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: nl - prefer_old: False - long_pair: nor-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "nl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-nl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "nl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-nld * source group: Norwegian * target group: Dutch * OPUS readme: nor-nld * model: transformer-align * source language(s): nob * target language(s): nld * 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: 40.2, chr-F: 0.596 ### System Info: * hf\_name: nor-nld * source\_languages: nor * target\_languages: nld * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'nl'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'nld'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: nld * short\_pair: no-nl * chrF2\_score: 0.596 * bleu: 40.2 * brevity\_penalty: 0.9590000000000001 * ref\_len: 1535.0 * src\_name: Norwegian * tgt\_name: Dutch * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: nl * prefer\_old: False * long\_pair: nor-nld * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596", "### System Info:\n\n\n* hf\\_name: nor-nld\n* source\\_languages: nor\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'nl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nld'}\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: nor\n* tgt\\_alpha3: nld\n* short\\_pair: no-nl\n* chrF2\\_score: 0.596\n* bleu: 40.2\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1535.0\n* src\\_name: Norwegian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596", "### System Info:\n\n\n* hf\\_name: nor-nld\n* source\\_languages: nor\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'nl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nld'}\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: nor\n* tgt\\_alpha3: nld\n* short\\_pair: no-nl\n* chrF2\\_score: 0.596\n* bleu: 40.2\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1535.0\n* src\\_name: Norwegian\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: nor-nld\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 124, 402 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-nld\n\n\n* source group: Norwegian\n* target group: Dutch\n* OPUS readme: nor-nld\n* model: transformer-align\n* source language(s): nob\n* target language(s): nld\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: 40.2, chr-F: 0.596" ]	[ -0.08935501426458359, 0.08282818645238876, -0.002967266133055091, 0.07748956978321075, 0.030868379399180412, -0.003259397577494383, 0.0780348926782608, 0.1246538907289505, -0.002070506801828742, 0.015164411626756191, 0.11051405966281891, 0.08343056589365005, 0.018259087577462196, 0.06675120443105698, -0.018004348501563072, -0.1876775324344635, 0.08259245753288269, 0.039193328469991684, -0.04587866738438606, 0.13538798689842224, 0.0804685577750206, -0.014367018826305866, 0.0856616422533989, -0.015279854647815228, -0.008614441379904747, 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null	null	transformers	### nor-nor * source group: Norwegian * target group: Norwegian * OPUS readme: [nor-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md) * model: transformer-align * source language(s): nno nob * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * 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/nor-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.nor \| 58.4 \| 0.784 \| ### System Info: - hf_name: nor-nor - source_languages: nor - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: nor - short_pair: no-no - chrF2_score: 0.784 - bleu: 58.4 - brevity_penalty: 0.988 - ref_len: 6351.0 - src_name: Norwegian - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: no - prefer_old: False - long_pair: nor-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-no	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-nor * source group: Norwegian * target group: Norwegian * OPUS readme: nor-nor * model: transformer-align * source language(s): nno nob * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * 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: 58.4, chr-F: 0.784 ### System Info: * hf\_name: nor-nor * source\_languages: nor * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: nor * short\_pair: no-no * chrF2\_score: 0.784 * bleu: 58.4 * brevity\_penalty: 0.988 * ref\_len: 6351.0 * src\_name: Norwegian * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: no * prefer\_old: False * long\_pair: nor-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 58.4, chr-F: 0.784", "### System Info:\n\n\n* hf\\_name: nor-nor\n* source\\_languages: nor\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nob', 'nno'}\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: nor\n* tgt\\_alpha3: nor\n* short\\_pair: no-no\n* chrF2\\_score: 0.784\n* bleu: 58.4\n* brevity\\_penalty: 0.988\n* ref\\_len: 6351.0\n* src\\_name: Norwegian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nor-nor\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 #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 58.4, chr-F: 0.784", "### System Info:\n\n\n* hf\\_name: nor-nor\n* source\\_languages: nor\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'nob', 'nno'}\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: nor\n* tgt\\_alpha3: nor\n* short\\_pair: no-no\n* chrF2\\_score: 0.784\n* bleu: 58.4\n* brevity\\_penalty: 0.988\n* ref\\_len: 6351.0\n* src\\_name: Norwegian\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: nor-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 59, 153, 396 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-nor\n\n\n* source group: Norwegian\n* target group: Norwegian\n* OPUS readme: nor-nor\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\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: 58.4, chr-F: 0.784" ]	[ -0.0776153951883316, 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null	null	transformers	### nor-pol * source group: Norwegian * target group: Polish * OPUS readme: [nor-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md) * model: transformer-align * source language(s): nob * target language(s): pol * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.pol \| 20.9 \| 0.455 \| ### System Info: - hf_name: nor-pol - source_languages: nor - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'pl'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: pol - short_pair: no-pl - chrF2_score: 0.455 - bleu: 20.9 - brevity_penalty: 0.941 - ref_len: 1828.0 - src_name: Norwegian - tgt_name: Polish - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: pl - prefer_old: False - long_pair: nor-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "pl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-pl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "pl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-pol * source group: Norwegian * target group: Polish * OPUS readme: nor-pol * model: transformer-align * source language(s): nob * target language(s): pol * 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: 20.9, chr-F: 0.455 ### System Info: * hf\_name: nor-pol * source\_languages: nor * target\_languages: pol * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'pl'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'pol'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: pol * short\_pair: no-pl * chrF2\_score: 0.455 * bleu: 20.9 * brevity\_penalty: 0.941 * ref\_len: 1828.0 * src\_name: Norwegian * tgt\_name: Polish * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: pl * prefer\_old: False * long\_pair: nor-pol * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455", "### System Info:\n\n\n* hf\\_name: nor-pol\n* source\\_languages: nor\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'pl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'pol'}\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: nor\n* tgt\\_alpha3: pol\n* short\\_pair: no-pl\n* chrF2\\_score: 0.455\n* bleu: 20.9\n* brevity\\_penalty: 0.941\n* ref\\_len: 1828.0\n* src\\_name: Norwegian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455", "### System Info:\n\n\n* hf\\_name: nor-pol\n* source\\_languages: nor\n* target\\_languages: pol\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'pl']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'pol'}\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: nor\n* tgt\\_alpha3: pol\n* short\\_pair: no-pl\n* chrF2\\_score: 0.455\n* bleu: 20.9\n* brevity\\_penalty: 0.941\n* ref\\_len: 1828.0\n* src\\_name: Norwegian\n* tgt\\_name: Polish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: pl\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-pol\n\n\n* source group: Norwegian\n* target group: Polish\n* OPUS readme: nor-pol\n* model: transformer-align\n* source language(s): nob\n* target language(s): pol\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: 20.9, chr-F: 0.455" ]	[ -0.10600433498620987, 0.0735580250620842, -0.002946841297671199, 0.06104784831404686, 0.06504757702350616, 0.012868099845945835, 0.11631570756435394, 0.11964866518974304, 0.0026949511375278234, 0.03595268353819847, 0.12070675194263458, 0.09094341099262238, 0.0292106494307518, 0.1016664057970047, -0.01395388226956129, -0.22368742525577545, 0.10648412257432938, 0.05213654413819313, -0.06780977547168732, 0.13823202252388, 0.0826321616768837, -0.01972164772450924, 0.08163422346115112, -0.0075037069618701935, -0.008470890112221241, 0.06352655589580536, 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null	null	transformers	### nor-rus * source group: Norwegian * target group: Russian * OPUS readme: [nor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md) * model: transformer-align * source language(s): nno nob * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.rus \| 18.6 \| 0.400 \| ### System Info: - hf_name: nor-rus - source_languages: nor - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'ru'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: rus - short_pair: no-ru - chrF2_score: 0.4 - bleu: 18.6 - brevity_penalty: 0.958 - ref_len: 10671.0 - src_name: Norwegian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: ru - prefer_old: False - long_pair: nor-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-rus * source group: Norwegian * target group: Russian * OPUS readme: nor-rus * model: transformer-align * source language(s): nno nob * target language(s): rus * 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: 18.6, chr-F: 0.400 ### System Info: * hf\_name: nor-rus * source\_languages: nor * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'ru'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: rus * short\_pair: no-ru * chrF2\_score: 0.4 * bleu: 18.6 * brevity\_penalty: 0.958 * ref\_len: 10671.0 * src\_name: Norwegian * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: ru * prefer\_old: False * long\_pair: nor-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\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: 18.6, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: nor-rus\n* source\\_languages: nor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'ru']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'rus'}\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: nor\n* tgt\\_alpha3: rus\n* short\\_pair: no-ru\n* chrF2\\_score: 0.4\n* bleu: 18.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 10671.0\n* src\\_name: Norwegian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\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: 18.6, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: nor-rus\n* source\\_languages: nor\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'ru']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'rus'}\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: nor\n* tgt\\_alpha3: rus\n* short\\_pair: no-ru\n* chrF2\\_score: 0.4\n* bleu: 18.6\n* brevity\\_penalty: 0.958\n* ref\\_len: 10671.0\n* src\\_name: Norwegian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: nor-rus\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 #no #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-rus\n\n\n* source group: Norwegian\n* target group: Russian\n* OPUS readme: nor-rus\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): rus\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: 18.6, chr-F: 0.400" ]	[ -0.07738848030567169, 0.05686786398291588, -0.003354898188263178, 0.05386151745915413, 0.08266430348157883, 0.014408991672098637, 0.12298673391342163, 0.10269322991371155, 0.0017643504543229938, 0.01280463021248579, 0.11514918506145477, 0.028431326150894165, 0.013395222835242748, 0.1289106160402298, -0.005047578830271959, -0.1950168013572693, 0.08053479343652725, 0.019052444025874138, -0.06619475036859512, 0.1314069926738739, 0.08961872011423111, -0.019751014187932014, 0.07732381671667099, -0.028082750737667084, -0.020959220826625824, 0.08621769398450851, 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null	null	transformers	### nor-swe * source group: Norwegian * target group: Swedish * OPUS readme: [nor-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-swe/README.md) * model: transformer-align * source language(s): nno nob * target language(s): swe * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.swe \| 63.7 \| 0.773 \| ### System Info: - hf_name: nor-swe - source_languages: nor - target_languages: swe - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-swe/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'sv'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'swe'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: swe - short_pair: no-sv - chrF2_score: 0.773 - bleu: 63.7 - brevity_penalty: 0.9670000000000001 - ref_len: 3672.0 - src_name: Norwegian - tgt_name: Swedish - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: sv - prefer_old: False - long_pair: nor-swe - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "sv"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "sv" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-swe * source group: Norwegian * target group: Swedish * OPUS readme: nor-swe * model: transformer-align * source language(s): nno nob * target language(s): swe * 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: 63.7, chr-F: 0.773 ### System Info: * hf\_name: nor-swe * source\_languages: nor * target\_languages: swe * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'sv'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'swe'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: swe * short\_pair: no-sv * chrF2\_score: 0.773 * bleu: 63.7 * brevity\_penalty: 0.9670000000000001 * ref\_len: 3672.0 * src\_name: Norwegian * tgt\_name: Swedish * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: sv * prefer\_old: False * long\_pair: nor-swe * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773", "### System Info:\n\n\n* hf\\_name: nor-swe\n* source\\_languages: nor\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'sv']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'swe'}\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: nor\n* tgt\\_alpha3: swe\n* short\\_pair: no-sv\n* chrF2\\_score: 0.773\n* bleu: 63.7\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 3672.0\n* src\\_name: Norwegian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: nor-swe\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 #no #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773", "### System Info:\n\n\n* hf\\_name: nor-swe\n* source\\_languages: nor\n* target\\_languages: swe\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'sv']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'swe'}\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: nor\n* tgt\\_alpha3: swe\n* short\\_pair: no-sv\n* chrF2\\_score: 0.773\n* bleu: 63.7\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 3672.0\n* src\\_name: Norwegian\n* tgt\\_name: Swedish\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: sv\n* prefer\\_old: False\n* long\\_pair: nor-swe\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 125, 400 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #no #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-swe\n\n\n* source group: Norwegian\n* target group: Swedish\n* OPUS readme: nor-swe\n* model: transformer-align\n* source language(s): nno nob\n* target language(s): swe\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: 63.7, chr-F: 0.773" ]	[ -0.1017068475484848, 0.07560446113348007, -0.0019417135044932365, 0.06573430448770523, 0.05811482295393944, -0.00018933510000351816, 0.07134801149368286, 0.10746397823095322, -0.007577915675938129, 0.012121525593101978, 0.11457645148038864, 0.07405783981084824, 0.049778662621974945, 0.08671500533819199, -0.029152607545256615, -0.1941254734992981, 0.09247912466526031, 0.02759682759642601, -0.06296227872371674, 0.13076554238796234, 0.08269231766462326, -0.020121188834309578, 0.0870734229683876, -0.020940613001585007, 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null	null	transformers	### nor-ukr * source group: Norwegian * target group: Ukrainian * OPUS readme: [nor-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md) * model: transformer-align * source language(s): nob * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.nor.ukr \| 16.6 \| 0.384 \| ### System Info: - hf_name: nor-ukr - source_languages: nor - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['no', 'uk'] - src_constituents: {'nob', 'nno'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.test.txt - src_alpha3: nor - tgt_alpha3: ukr - short_pair: no-uk - chrF2_score: 0.384 - bleu: 16.6 - brevity_penalty: 1.0 - ref_len: 3982.0 - src_name: Norwegian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: no - tgt_alpha2: uk - prefer_old: False - long_pair: nor-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": [false, "uk"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-no-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "no", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "no", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #no #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### nor-ukr * source group: Norwegian * target group: Ukrainian * OPUS readme: nor-ukr * model: transformer-align * source language(s): nob * target language(s): ukr * 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: 16.6, chr-F: 0.384 ### System Info: * hf\_name: nor-ukr * source\_languages: nor * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['no', 'uk'] * src\_constituents: {'nob', 'nno'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: nor * tgt\_alpha3: ukr * short\_pair: no-uk * chrF2\_score: 0.384 * bleu: 16.6 * brevity\_penalty: 1.0 * ref\_len: 3982.0 * src\_name: Norwegian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: no * tgt\_alpha2: uk * prefer\_old: False * long\_pair: nor-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384", "### System Info:\n\n\n* hf\\_name: nor-ukr\n* source\\_languages: nor\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'uk']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'ukr'}\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: nor\n* tgt\\_alpha3: ukr\n* short\\_pair: no-uk\n* chrF2\\_score: 0.384\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3982.0\n* src\\_name: Norwegian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384", "### System Info:\n\n\n* hf\\_name: nor-ukr\n* source\\_languages: nor\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['no', 'uk']\n* src\\_constituents: {'nob', 'nno'}\n* tgt\\_constituents: {'ukr'}\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: nor\n* tgt\\_alpha3: ukr\n* short\\_pair: no-uk\n* chrF2\\_score: 0.384\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 3982.0\n* src\\_name: Norwegian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: no\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: nor-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 #no #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### nor-ukr\n\n\n* source group: Norwegian\n* target group: Ukrainian\n* OPUS readme: nor-ukr\n* model: transformer-align\n* source language(s): nob\n* target language(s): ukr\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: 16.6, chr-F: 0.384" ]	[ -0.09256685525178909, 0.04048098251223564, -0.003757449798285961, 0.05252274498343468, 0.0902644693851471, 0.02774904854595661, 0.11329437792301178, 0.11818210780620575, 0.02079671062529087, 0.02638089656829834, 0.12488234043121338, 0.06732599437236786, 0.011665862053632736, 0.06393546611070633, 0.000647679262328893, -0.19850954413414001, 0.08643534034490585, 0.0250418558716774, -0.08270008116960526, 0.126598060131073, 0.10248663276433945, -0.029038941487669945, 0.08022000640630722, -0.014748474583029747, -0.027655698359012604, 0.07992441952228546, 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null	null	transformers	### opus-mt-nso-de * source languages: nso * target languages: de * OPUS readme: [nso-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-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/nso-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.de \| 24.7 \| 0.461 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-de * source languages: nso * target languages: de * OPUS readme: nso-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: 24.7, chr-F: 0.461	[ "### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-de\n\n\n* source languages: nso\n* target languages: de\n* OPUS readme: nso-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: 24.7, chr-F: 0.461" ]	[ -0.11431580036878586, 0.16802118718624115, -0.003483918961137533, 0.06883132457733154, 0.06587597727775574, -0.00779472291469574, 0.06778386235237122, 0.14376965165138245, 0.00620045093819499, 0.012059143744409084, 0.09538764506578445, 0.12836915254592896, 0.03171016648411751, 0.14594028890132904, -0.07042444497346878, -0.14526517689228058, 0.06197488680481911, 0.050933837890625, -0.061886247247457504, 0.13378870487213135, 0.07932843267917633, 0.00039284161175601184, 0.09179578721523285, -0.024676965549588203, -0.011689659208059311, 0.07546000182628632, 0.008820337243378162, -0.08161319047212601, 0.045808129012584686, 0.03694567829370499, 0.02331334725022316, 0.07919132709503174, -0.020524123683571815, -0.2042560875415802, 0.008821241557598114, 0.01645939238369465, -0.035936448723077774, 0.006664966698735952, 0.05501371994614601, -0.04838259145617485, 0.14653806388378143, -0.03932648524641991, 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null	null	transformers	### opus-mt-nso-en * source languages: nso * target languages: en * OPUS readme: [nso-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-en/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/nso-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.en \| 48.6 \| 0.634 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-en * source languages: nso * target languages: en * OPUS readme: nso-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: 48.6, chr-F: 0.634	[ "### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-en\n\n\n* source languages: nso\n* target languages: en\n* OPUS readme: nso-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: 48.6, chr-F: 0.634" ]	[ -0.11327583342790604, 0.17206142842769623, -0.003727495204657316, 0.07242397218942642, 0.06908415257930756, -0.010088990442454815, 0.0615152083337307, 0.14549541473388672, 0.010113188065588474, 0.014741365797817707, 0.09140989929437637, 0.12407326698303223, 0.030729375779628754, 0.13925158977508545, -0.07247861474752426, -0.14202149212360382, 0.06053686514496803, 0.04670476168394089, -0.06033735349774361, 0.1338365077972412, 0.07575076818466187, -0.0026959923561662436, 0.08959992974996567, -0.02297203056514263, -0.011694075539708138, 0.07172662764787674, 0.008999941870570183, -0.07971134036779404, 0.04020112752914429, 0.03712305799126625, 0.02470659278333187, 0.07927605509757996, -0.015233892947435379, -0.20559214055538177, 0.010409818030893803, 0.015973161906003952, -0.03352520614862442, 0.010228442028164864, 0.058303095400333405, -0.04634987935423851, 0.13223469257354736, -0.0362619124352932, 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null	null	transformers	### opus-mt-nso-es * source languages: nso * target languages: es * OPUS readme: [nso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-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/nso-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.es \| 29.5 \| 0.485 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-es * source languages: nso * target languages: es * OPUS readme: nso-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: 29.5, chr-F: 0.485	[ "### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-es\n\n\n* source languages: nso\n* target languages: es\n* OPUS readme: nso-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: 29.5, chr-F: 0.485" ]	[ -0.10989568382501602, 0.15799091756343842, -0.003840845078229904, 0.06649021059274673, 0.06911089271306992, -0.003402452450245619, 0.06952522695064545, 0.14103716611862183, 0.026944028213620186, 0.010535093024373055, 0.09430111944675446, 0.12023767828941345, 0.0354863703250885, 0.15848931670188904, -0.07226002216339111, -0.1424201875925064, 0.06615586578845978, 0.044296957552433014, -0.05773413926362991, 0.13016796112060547, 0.08244036138057709, 0.0005342824733816087, 0.09242475032806396, -0.0278830137103796, 0.00006795758235966787, 0.08106499910354614, 0.009091117419302464, -0.08453377336263657, 0.03856060281395912, 0.04077104851603508, 0.024120040237903595, 0.0796244889497757, -0.014893132261931896, -0.2126442790031433, 0.005957149900496006, 0.013140269555151463, -0.036785002797842026, 0.004005365073680878, 0.05309871956706047, -0.042894408106803894, 0.13150504231452942, -0.037960395216941833, 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null	null	transformers	### opus-mt-nso-fi * source languages: nso * target languages: fi * OPUS readme: [nso-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-fi/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/nso-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.fi \| 27.8 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-fi * source languages: nso * target languages: fi * OPUS readme: nso-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: 27.8, chr-F: 0.523	[ "### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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: 27.8, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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: 27.8, chr-F: 0.523" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-fi\n\n\n* source languages: nso\n* target languages: fi\n* OPUS readme: nso-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-nso-fr * source languages: nso * target languages: fr * OPUS readme: [nso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-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/nso-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.fr \| 30.7 \| 0.488 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-fr * source languages: nso * target languages: fr * OPUS readme: nso-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: 30.7, chr-F: 0.488	[ "### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-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: 30.7, chr-F: 0.488" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-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: 30.7, chr-F: 0.488" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-fr\n\n\n* source languages: nso\n* target languages: fr\n* OPUS readme: nso-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: 30.7, chr-F: 0.488" ]	[ -0.119415782392025, 0.1547025889158249, -0.003596288152039051, 0.07873722165822983, 0.06482300162315369, -0.013239780440926552, 0.04681409150362015, 0.14141806960105896, 0.021398840472102165, 0.018290547654032707, 0.09563154727220535, 0.1095515713095665, 0.03209272772073746, 0.14103929698467255, -0.08701303601264954, -0.13406643271446228, 0.05867296829819679, 0.04849569872021675, -0.07432428002357483, 0.130854070186615, 0.0767061859369278, 0.0019654007628560066, 0.09759365767240524, -0.018189342692494392, -0.026190083473920822, 0.07210160046815872, 0.01391691155731678, -0.07428667694330215, 0.036940790712833405, 0.05174243450164795, 0.019276903942227364, 0.07791272550821304, -0.017159275710582733, -0.20306575298309326, 0.011460550129413605, 0.014993317425251007, -0.03661646321415901, 0.010660831816494465, 0.06055528298020363, -0.04933983460068703, 0.1579846292734146, -0.022719094529747963, 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null	null	transformers	### opus-mt-nso-sv * source languages: nso * target languages: sv * OPUS readme: [nso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-sv/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/nso-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nso.sv \| 34.3 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nso-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nso", "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 #nso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nso-sv * source languages: nso * target languages: sv * OPUS readme: nso-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: 34.3, chr-F: 0.527	[ "### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nso-sv\n\n\n* source languages: nso\n* target languages: sv\n* OPUS readme: nso-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: 34.3, chr-F: 0.527" ]	[ -0.11618685722351074, 0.1634126901626587, -0.0033476725220680237, 0.06062598526477814, 0.07393371313810349, -0.011722905561327934, 0.055175237357616425, 0.1385299265384674, 0.01706005446612835, 0.02171851135790348, 0.11010617017745972, 0.11138256639242172, 0.036267925053834915, 0.14878728985786438, -0.07642249017953873, -0.13894984126091003, 0.06617452204227448, 0.035520289093256, -0.07092905044555664, 0.12867599725723267, 0.08254895359277725, -0.010931179858744144, 0.09498145431280136, -0.025395914912223816, -0.00363833992742002, 0.06553985178470612, 0.022537577897310257, -0.07430151849985123, 0.03618834167718887, 0.0400046706199646, 0.012716921046376228, 0.08061999082565308, 0.008183704689145088, -0.1988438218832016, 0.005879572592675686, 0.006446284241974354, -0.02675001136958599, 0.007224504370242357, 0.054632749408483505, -0.036404356360435486, 0.13410060107707977, -0.04845549911260605, 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null	null	transformers	### opus-mt-ny-de * source languages: ny * target languages: de * OPUS readme: [ny-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-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/ny-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ny.de \| 23.9 \| 0.440 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ny-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ny", "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 #ny #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ny-de * source languages: ny * target languages: de * OPUS readme: ny-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: 23.9, chr-F: 0.440	[ "### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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: 23.9, chr-F: 0.440" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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: 23.9, chr-F: 0.440" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-de\n\n\n* source languages: ny\n* target languages: de\n* OPUS readme: ny-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-ny-en * source languages: ny * target languages: en * OPUS readme: [ny-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-en/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/ny-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ny.en \| 39.7 \| 0.547 \| \| Tatoeba.ny.en \| 44.2 \| 0.562 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ny-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ny", "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 #ny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ny-en * source languages: ny * target languages: en * OPUS readme: ny-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: 39.7, chr-F: 0.547 testset: URL, BLEU: 44.2, chr-F: 0.562	[ "### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]	[ 61, 116 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-en\n\n\n* source languages: ny\n* target languages: en\n* OPUS readme: ny-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: 39.7, chr-F: 0.547\ntestset: URL, BLEU: 44.2, chr-F: 0.562" ]	[ -0.1281394362449646, 0.1547306478023529, -0.004041140433400869, 0.05794190987944603, 0.05725177377462387, 0.01026664674282074, 0.07489682734012604, 0.15535655617713928, -0.0099912965670228, 0.012730906717479229, 0.1350294053554535, 0.11600090563297272, 0.015017162077128887, 0.11029228568077087, -0.06180628761649132, -0.1272086501121521, 0.028496837243437767, 0.07175210863351822, -0.05507230386137962, 0.15582230687141418, 0.09108186513185501, -0.011449302546679974, 0.08090944588184357, -0.017945805564522743, -0.02536034770309925, 0.0827750563621521, 0.03267689049243927, -0.06702417135238647, 0.06659463793039322, 0.052903108298778534, 0.056946128606796265, 0.09814434498548508, -0.027773844078183174, -0.19240091741085052, 0.0120267104357481, 0.02153056487441063, 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null	null	transformers	### opus-mt-ny-es * source languages: ny * target languages: es * OPUS readme: [ny-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-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/ny-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ny.es \| 27.9 \| 0.457 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ny-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ny", "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 #ny #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ny-es * source languages: ny * target languages: es * OPUS readme: ny-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: 27.9, chr-F: 0.457	[ "### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-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: 27.9, chr-F: 0.457" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-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: 27.9, chr-F: 0.457" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ny #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ny-es\n\n\n* source languages: ny\n* target languages: es\n* OPUS readme: ny-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-nyk-en * source languages: nyk * target languages: en * OPUS readme: [nyk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nyk-en/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/nyk-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nyk-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nyk-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.nyk.en \| 27.3 \| 0.423 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-nyk-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nyk", "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 #nyk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-nyk-en * source languages: nyk * target languages: en * OPUS readme: nyk-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: 27.3, chr-F: 0.423	[ "### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nyk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nyk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-nyk-en\n\n\n* source languages: nyk\n* target languages: en\n* OPUS readme: nyk-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: 27.3, chr-F: 0.423" ]	[ -0.12050624191761017, 0.17175021767616272, -0.0030566167552024126, 0.053383246064186096, 0.07653367519378662, 0.010958640836179256, 0.06576025485992432, 0.1690330058336258, -0.007883123122155666, -0.004224295262247324, 0.12581530213356018, 0.1254873275756836, 0.025235218927264214, 0.09953108429908752, -0.04462756961584091, -0.1518857777118683, 0.03790959715843201, 0.06883063912391663, -0.015196451917290688, 0.1528676301240921, 0.10400450229644775, 0.0036578145809471607, 0.08367786556482315, 0.021875303238630295, -0.013368623331189156, 0.06459547579288483, 0.02727350778877735, -0.072599858045578, 0.053784292191267014, 0.029872210696339607, 0.05806459113955498, 0.09729499369859695, -0.040739547461271286, -0.17206092178821564, 0.015218609012663364, 0.051559824496507645, -0.024135826155543327, -0.010655106045305729, 0.002862786641344428, -0.11754374206066132, 0.10729388147592545, -0.09394988417625427, 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null	null	transformers	### opus-mt-om-en * source languages: om * target languages: en * OPUS readme: [om-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/om-en/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/om-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/om-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/om-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.om.en \| 27.3 \| 0.448 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-om-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "om", "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 #om #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-om-en * source languages: om * target languages: en * OPUS readme: om-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: 27.3, chr-F: 0.448	[ "### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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: 27.3, chr-F: 0.448" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #om #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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: 27.3, chr-F: 0.448" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #om #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-om-en\n\n\n* source languages: om\n* target languages: en\n* OPUS readme: om-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-pa-en * source languages: pa * target languages: en * OPUS readme: [pa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pa-en/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/pa-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pa-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pa-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pa.en \| 20.6 \| 0.320 \| \| Tatoeba.pa.en \| 29.3 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pa-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pa", "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 #pa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pa-en * source languages: pa * target languages: en * OPUS readme: pa-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: 20.6, chr-F: 0.320 testset: URL, BLEU: 29.3, chr-F: 0.464	[ "### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]	[ 61, 117 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pa-en\n\n\n* source languages: pa\n* target languages: en\n* OPUS readme: pa-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: 20.6, chr-F: 0.320\ntestset: URL, BLEU: 29.3, chr-F: 0.464" ]	[ -0.13140808045864105, 0.12029558420181274, -0.004921529442071915, 0.057482682168483734, 0.060962315648794174, 0.014843474142253399, 0.06992114335298538, 0.14237052202224731, -0.04619421437382698, 0.010037305764853954, 0.14508792757987976, 0.10562321543693542, 0.025704700499773026, 0.12616756558418274, -0.05967065319418907, -0.1418033391237259, 0.021658357232809067, 0.07364634424448013, -0.0563538484275341, 0.17096064984798431, 0.08146732300519943, -0.027858396992087364, 0.08105724304914474, -0.014766160398721695, -0.010281636379659176, 0.08169276267290115, 0.012083537876605988, -0.07878199964761734, 0.06843148916959763, 0.03764921426773071, 0.056381817907094955, 0.06886587291955948, -0.03900504112243652, -0.21352872252464294, 0.01602470688521862, 0.01721399836242199, 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null	null	transformers	### opus-mt-pag-de * source languages: pag * target languages: de * OPUS readme: [pag-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pag.de \| 22.8 \| 0.435 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pag-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pag", "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 #pag #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pag-de * source languages: pag * target languages: de * OPUS readme: pag-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: 22.8, chr-F: 0.435	[ "### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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: 22.8, chr-F: 0.435" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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: 22.8, chr-F: 0.435" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-de\n\n\n* source languages: pag\n* target languages: de\n* OPUS readme: pag-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-pag-en * source languages: pag * target languages: en * OPUS readme: [pag-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-en/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/pag-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-en/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pag.en \| 42.4 \| 0.580 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pag-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pag", "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 #pag #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pag-en * source languages: pag * target languages: en * OPUS readme: pag-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: 42.4, chr-F: 0.580	[ "### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-en\n\n\n* source languages: pag\n* target languages: en\n* OPUS readme: pag-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: 42.4, chr-F: 0.580" ]	[ -0.11207585036754608, 0.1259968876838684, -0.0049497392028570175, 0.05874167010188103, 0.0694722980260849, 0.008722630329430103, 0.07177388668060303, 0.14974382519721985, -0.04429043084383011, -0.001293774927034974, 0.13361921906471252, 0.1225869357585907, 0.02727842703461647, 0.12008723616600037, -0.06206214055418968, -0.16302597522735596, 0.04645930603146553, 0.06012352555990219, -0.051055919378995895, 0.15766650438308716, 0.09839541465044022, -0.019547302275896072, 0.08939734101295471, -0.008231737650930882, -0.02013961784541607, 0.08152274042367935, 0.01077209785580635, -0.07411979883909225, 0.07138947397470474, 0.05132097005844116, 0.031126681715250015, 0.06360427290201187, -0.0290608499199152, -0.21157823503017426, 0.018045520409941673, 0.012555096298456192, -0.045222122222185135, 0.03383694216609001, 0.05094194412231445, -0.08075018972158432, 0.09699531644582748, -0.0618237629532814, 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null	null	transformers	### opus-mt-pag-es * source languages: pag * target languages: es * OPUS readme: [pag-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pag.es \| 27.9 \| 0.459 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pag-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pag", "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 #pag #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pag-es * source languages: pag * target languages: es * OPUS readme: pag-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: 27.9, chr-F: 0.459	[ "### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-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: 27.9, chr-F: 0.459" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-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: 27.9, chr-F: 0.459" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-es\n\n\n* source languages: pag\n* target languages: es\n* OPUS readme: pag-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-pag-fi * source languages: pag * target languages: fi * OPUS readme: [pag-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pag.fi \| 26.7 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pag-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pag", "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 #pag #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pag-fi * source languages: pag * target languages: fi * OPUS readme: pag-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: 26.7, chr-F: 0.496	[ "### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-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: 26.7, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-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: 26.7, chr-F: 0.496" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-fi\n\n\n* source languages: pag\n* target languages: fi\n* OPUS readme: pag-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-pag-sv * source languages: pag * target languages: sv * OPUS readme: [pag-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-sv/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/pag-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pag.sv \| 29.8 \| 0.492 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pag-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pag", "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 #pag #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pag-sv * source languages: pag * target languages: sv * OPUS readme: pag-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: 29.8, chr-F: 0.492	[ "### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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: 29.8, chr-F: 0.492" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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: 29.8, chr-F: 0.492" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pag #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pag-sv\n\n\n* source languages: pag\n* target languages: sv\n* OPUS readme: pag-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-pap-de * source languages: pap * target languages: de * OPUS readme: [pap-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-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/pap-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pap.de \| 25.0 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pap-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pap", "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 #pap #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pap-de * source languages: pap * target languages: de * OPUS readme: pap-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: 25.0, chr-F: 0.466	[ "### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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: 25.0, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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: 25.0, chr-F: 0.466" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-de\n\n\n* source languages: pap\n* target languages: de\n* OPUS readme: pap-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-pap-en * source languages: pap * target languages: en * OPUS readme: [pap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-en/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/pap-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pap.en \| 47.3 \| 0.634 \| \| Tatoeba.pap.en \| 63.2 \| 0.684 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pap-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pap", "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 #pap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pap-en * source languages: pap * target languages: en * OPUS readme: pap-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: 47.3, chr-F: 0.634 testset: URL, BLEU: 63.2, chr-F: 0.684	[ "### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]	[ 61, 118 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-en\n\n\n* source languages: pap\n* target languages: en\n* OPUS readme: pap-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: 47.3, chr-F: 0.634\ntestset: URL, BLEU: 63.2, chr-F: 0.684" ]	[ -0.12835577130317688, 0.1240859106183052, -0.005681178532540798, 0.05433905869722366, 0.05939409136772156, 0.012412162497639656, 0.05088004469871521, 0.15139463543891907, -0.05227544531226158, 0.016089651733636856, 0.14707043766975403, 0.10886035859584808, 0.04448091611266136, 0.11792509257793427, -0.03947228938341141, -0.16012044250965118, 0.029810331761837006, 0.08097783476114273, -0.04466809332370758, 0.176076278090477, 0.0749613419175148, -0.025129716843366623, 0.08160264045000076, -0.0028033095877617598, 0.011600131168961525, 0.07542335242033005, 0.009993712417781353, -0.07690650969743729, 0.06458617746829987, 0.03347727283835411, 0.0643010139465332, 0.06227320432662964, -0.04713395610451698, -0.21288737654685974, 0.017807912081480026, 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null	null	transformers	### opus-mt-pap-es * source languages: pap * target languages: es * OPUS readme: [pap-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-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/pap-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pap.es \| 32.3 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pap-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pap", "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 #pap #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pap-es * source languages: pap * target languages: es * OPUS readme: pap-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: 32.3, chr-F: 0.518	[ "### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-es\n\n\n* source languages: pap\n* target languages: es\n* OPUS readme: pap-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: 32.3, chr-F: 0.518" ]	[ -0.10645221918821335, 0.12224217504262924, -0.0060800774954259396, 0.05237523466348648, 0.07462700456380844, 0.01189359463751316, 0.061186861246824265, 0.14844492077827454, -0.05350928753614426, 0.002390572102740407, 0.15158826112747192, 0.12096801400184631, 0.053677745163440704, 0.11604885756969452, -0.0332699678838253, -0.19515672326087952, 0.05345877632498741, 0.06618354469537735, -0.03580412641167641, 0.16689980030059814, 0.09421408176422119, -0.017534539103507996, 0.0892593190073967, 0.00845255982130766, 0.034525610506534576, 0.08143562078475952, -0.006420033518224955, -0.08789090067148209, 0.06679076701402664, 0.02721632458269596, 0.06026430428028107, 0.05295199155807495, -0.04334041103720665, -0.21981006860733032, 0.013785489834845066, 0.028772592544555664, -0.030277341604232788, 0.02996698208153248, 0.08691473305225372, -0.084976926445961, 0.08402059972286224, -0.0649704858660698, 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null	null	transformers	### opus-mt-pap-fi * source languages: pap * target languages: fi * OPUS readme: [pap-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-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/pap-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pap.fi \| 27.7 \| 0.520 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pap-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pap", "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 #pap #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pap-fi * source languages: pap * target languages: fi * OPUS readme: pap-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: 27.7, chr-F: 0.520	[ "### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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: 27.7, chr-F: 0.520" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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: 27.7, chr-F: 0.520" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-fi\n\n\n* source languages: pap\n* target languages: fi\n* OPUS readme: pap-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-pap-fr * source languages: pap * target languages: fr * OPUS readme: [pap-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-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/pap-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pap.fr \| 31.0 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pap-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pap", "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 #pap #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pap-fr * source languages: pap * target languages: fr * OPUS readme: pap-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: 31.0, chr-F: 0.498	[ "### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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: 31.0, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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: 31.0, chr-F: 0.498" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pap #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pap-fr\n\n\n* source languages: pap\n* target languages: fr\n* OPUS readme: pap-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	### phi-eng * source group: Philippine languages * target group: English * OPUS readme: [phi-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/phi-eng/README.md) * model: transformer * source language(s): akl_Latn ceb hil ilo pag war * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.akl-eng.akl.eng \| 11.6 \| 0.321 \| \| Tatoeba-test.ceb-eng.ceb.eng \| 21.7 \| 0.393 \| \| Tatoeba-test.hil-eng.hil.eng \| 17.6 \| 0.371 \| \| Tatoeba-test.ilo-eng.ilo.eng \| 36.6 \| 0.560 \| \| Tatoeba-test.multi.eng \| 21.5 \| 0.391 \| \| Tatoeba-test.pag-eng.pag.eng \| 27.5 \| 0.494 \| \| Tatoeba-test.war-eng.war.eng \| 17.3 \| 0.380 \| ### System Info: - hf_name: phi-eng - source_languages: phi - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/phi-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['phi', 'en'] - src_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.test.txt - src_alpha3: phi - tgt_alpha3: eng - short_pair: phi-en - chrF2_score: 0.391 - bleu: 21.5 - brevity_penalty: 1.0 - ref_len: 2380.0 - src_name: Philippine languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: phi - tgt_alpha2: en - prefer_old: False - long_pair: phi-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["phi", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-phi-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "phi", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "phi", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #phi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### phi-eng * source group: Philippine languages * target group: English * OPUS readme: phi-eng * model: transformer * source language(s): akl\_Latn ceb hil ilo pag war * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 11.6, chr-F: 0.321 testset: URL, BLEU: 21.7, chr-F: 0.393 testset: URL, BLEU: 17.6, chr-F: 0.371 testset: URL, BLEU: 36.6, chr-F: 0.560 testset: URL, BLEU: 21.5, chr-F: 0.391 testset: URL, BLEU: 27.5, chr-F: 0.494 testset: URL, BLEU: 17.3, chr-F: 0.380 ### System Info: * hf\_name: phi-eng * source\_languages: phi * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['phi', 'en'] * src\_constituents: {'ilo', 'akl\_Latn', 'war', 'hil', 'pag', 'ceb'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: phi * tgt\_alpha3: eng * short\_pair: phi-en * chrF2\_score: 0.391 * bleu: 21.5 * brevity\_penalty: 1.0 * ref\_len: 2380.0 * src\_name: Philippine languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: phi * tgt\_alpha2: en * prefer\_old: False * long\_pair: phi-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\n* target language(s): eng\n* model: transformer\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: phi-eng\n* source\\_languages: phi\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['phi', 'en']\n* src\\_constituents: {'ilo', 'akl\\_Latn', 'war', 'hil', 'pag', 'ceb'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: phi\n* tgt\\_alpha3: eng\n* short\\_pair: phi-en\n* chrF2\\_score: 0.391\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2380.0\n* src\\_name: Philippine languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: phi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: phi-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 #phi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\n* target language(s): eng\n* model: transformer\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380", "### System Info:\n\n\n* hf\\_name: phi-eng\n* source\\_languages: phi\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['phi', 'en']\n* src\\_constituents: {'ilo', 'akl\\_Latn', 'war', 'hil', 'pag', 'ceb'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: phi\n* tgt\\_alpha3: eng\n* short\\_pair: phi-en\n* chrF2\\_score: 0.391\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2380.0\n* src\\_name: Philippine languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: phi\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: phi-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 232, 413 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #phi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### phi-eng\n\n\n* source group: Philippine languages\n* target group: English\n* OPUS readme: phi-eng\n* model: transformer\n* source language(s): akl\\_Latn ceb hil ilo pag war\n* target language(s): eng\n* model: transformer\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: 11.6, chr-F: 0.321\ntestset: URL, BLEU: 21.7, chr-F: 0.393\ntestset: URL, BLEU: 17.6, chr-F: 0.371\ntestset: URL, BLEU: 36.6, chr-F: 0.560\ntestset: URL, BLEU: 21.5, chr-F: 0.391\ntestset: URL, BLEU: 27.5, chr-F: 0.494\ntestset: URL, BLEU: 17.3, chr-F: 0.380" 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null	null	transformers	### opus-mt-pis-en * source languages: pis * target languages: en * OPUS readme: [pis-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-en/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/pis-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-en/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pis.en \| 33.3 \| 0.493 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pis-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pis", "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 #pis #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pis-en * source languages: pis * target languages: en * OPUS readme: pis-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: 33.3, chr-F: 0.493	[ "### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-en\n\n\n* source languages: pis\n* target languages: en\n* OPUS readme: pis-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: 33.3, chr-F: 0.493" ]	[ -0.11361072212457657, 0.12979914247989655, -0.00509731937199831, 0.07786490768194199, 0.07665254175662994, 0.0034775929525494576, 0.08630429208278656, 0.1426030546426773, -0.03543653339147568, 0.0048359716311097145, 0.13513495028018951, 0.13441069424152374, 0.03997950255870819, 0.1450759619474411, -0.07037536054849625, -0.1810503453016281, 0.0540020614862442, 0.04105110839009285, -0.04100186377763748, 0.15722370147705078, 0.0897606611251831, -0.012804064899682999, 0.08956339210271835, -0.01959705539047718, -0.01613197848200798, 0.06563705950975418, -0.0001776236022124067, -0.07761533558368683, 0.06638869643211365, 0.052388254553079605, 0.06099403277039528, 0.08081710338592529, -0.008513587526977062, -0.20243597030639648, 0.015723785385489464, 0.006433926057070494, -0.030238162726163864, 0.033381037414073944, 0.05305720865726471, -0.07134950906038284, 0.07437947392463684, -0.06266382336616516, 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null	null	transformers	### opus-mt-pis-es * source languages: pis * target languages: es * OPUS readme: [pis-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-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/pis-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pis.es \| 24.1 \| 0.421 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pis-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pis", "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 #pis #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pis-es * source languages: pis * target languages: es * OPUS readme: pis-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: 24.1, chr-F: 0.421	[ "### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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: 24.1, chr-F: 0.421" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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: 24.1, chr-F: 0.421" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-es\n\n\n* source languages: pis\n* target languages: es\n* OPUS readme: pis-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-pis-fi * source languages: pis * target languages: fi * OPUS readme: [pis-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-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/pis-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pis.fi \| 21.8 \| 0.439 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pis-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pis", "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 #pis #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pis-fi * source languages: pis * target languages: fi * OPUS readme: pis-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: 0.439	[ "### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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: 0.439" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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: 0.439" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-fi\n\n\n* source languages: pis\n* target languages: fi\n* OPUS readme: pis-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-pis-fr * source languages: pis * target languages: fr * OPUS readme: [pis-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-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/pis-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-fr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pis.fr \| 24.9 \| 0.421 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pis-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pis", "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 #pis #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pis-fr * source languages: pis * target languages: fr * OPUS readme: pis-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: 24.9, chr-F: 0.421	[ "### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-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: 24.9, chr-F: 0.421" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-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: 24.9, chr-F: 0.421" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-fr\n\n\n* source languages: pis\n* target languages: fr\n* OPUS readme: pis-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: 24.9, chr-F: 0.421" ]	[ -0.12051338702440262, 0.1126476600766182, -0.004916809499263763, 0.0828881561756134, 0.07528126984834671, 0.00009216614125762135, 0.07490672171115875, 0.13934646546840668, -0.025278378278017044, 0.013211429119110107, 0.1373940408229828, 0.11900665611028671, 0.04162183403968811, 0.14792047441005707, -0.08219495415687561, -0.1718631088733673, 0.053204748779535294, 0.04467622935771942, -0.05813222378492355, 0.1533930003643036, 0.08996947109699249, -0.008082086220383644, 0.09840363264083862, -0.012387736700475216, -0.038428667932748795, 0.06402185559272766, 0.004094304051250219, -0.07170332968235016, 0.06581553816795349, 0.06865799427032471, 0.05410018190741539, 0.08196891099214554, -0.011563664302229881, -0.19346798956394196, 0.01681114174425602, 0.004532126244157553, -0.035900942981243134, 0.035940106958150864, 0.05813765525817871, -0.07147792726755142, 0.10042978823184967, -0.04541604965925217, 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null	null	transformers	### opus-mt-pis-sv * source languages: pis * target languages: sv * OPUS readme: [pis-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-sv/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/pis-sv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-sv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pis-sv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.pis.sv \| 25.9 \| 0.442 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pis-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pis", "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 #pis #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pis-sv * source languages: pis * target languages: sv * OPUS readme: pis-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: 25.9, chr-F: 0.442	[ "### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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: 25.9, chr-F: 0.442" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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: 25.9, chr-F: 0.442" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pis #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pis-sv\n\n\n* source languages: pis\n* target languages: sv\n* OPUS readme: pis-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	### pol-ara * source group: Polish * target group: Arabic * OPUS readme: [pol-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md) * model: transformer * source language(s): pol * target language(s): ara arz * 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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.pol.ara \| 20.4 \| 0.491 \| ### System Info: - hf_name: pol-ara - source_languages: pol - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['pl', 'ar'] - src_constituents: {'pol'} - 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/pol-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt - src_alpha3: pol - tgt_alpha3: ara - short_pair: pl-ar - chrF2_score: 0.491 - bleu: 20.4 - brevity_penalty: 0.9590000000000001 - ref_len: 1028.0 - src_name: Polish - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: pl - tgt_alpha2: ar - prefer_old: False - long_pair: pol-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["pl", "ar"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pl-ar	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pl", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "pl", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### pol-ara * source group: Polish * target group: Arabic * OPUS readme: pol-ara * model: transformer * source language(s): pol * target language(s): ara arz * 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: 20.4, chr-F: 0.491 ### System Info: * hf\_name: pol-ara * source\_languages: pol * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['pl', 'ar'] * src\_constituents: {'pol'} * 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: pol * tgt\_alpha3: ara * short\_pair: pl-ar * chrF2\_score: 0.491 * bleu: 20.4 * brevity\_penalty: 0.9590000000000001 * ref\_len: 1028.0 * src\_name: Polish * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: pl * tgt\_alpha2: ar * prefer\_old: False * long\_pair: pol-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\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: 20.4, chr-F: 0.491", "### System Info:\n\n\n* hf\\_name: pol-ara\n* source\\_languages: pol\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'ar']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ara\n* short\\_pair: pl-ar\n* chrF2\\_score: 0.491\n* bleu: 20.4\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1028.0\n* src\\_name: Polish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: pl\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: pol-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 #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\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: 20.4, chr-F: 0.491", "### System Info:\n\n\n* hf\\_name: pol-ara\n* source\\_languages: pol\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['pl', 'ar']\n* src\\_constituents: {'pol'}\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: pol\n* tgt\\_alpha3: ara\n* short\\_pair: pl-ar\n* chrF2\\_score: 0.491\n* bleu: 20.4\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 1028.0\n* src\\_name: Polish\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: pl\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: pol-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 146, 442 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### pol-ara\n\n\n* source group: Polish\n* target group: Arabic\n* OPUS readme: pol-ara\n* model: transformer\n* source language(s): pol\n* target language(s): ara arz\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: 20.4, chr-F: 0.491" ]	[ -0.1057991310954094, -0.007757893763482571, -0.0035884487442672253, 0.017978278920054436, 0.09224026650190353, -0.010809417814016342, 0.11787137389183044, 0.1079602837562561, 0.0036513381637632847, -0.022805795073509216, 0.1694970279932022, 0.09840112924575806, 0.05648615211248398, 0.15810807049274445, 0.015739599242806435, -0.23127101361751556, 0.08824903517961502, 0.0777071937918663, 0.08210325241088867, 0.13715170323848724, 0.1158919706940651, -0.02972658909857273, 0.056869979947805405, 0.011498057283461094, -0.06768178194761276, 0.05718060955405235, -0.016012106090784073, -0.10631348937749863, 0.05610733479261398, 0.04609915241599083, 0.018223123624920845, 0.05198226124048233, -0.0403018519282341, -0.23071163892745972, 0.009908932261168957, 0.007317432202398777, -0.057088449597358704, 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null	null	transformers	### opus-mt-pl-de * source languages: pl * target languages: de * OPUS readme: [pl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-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/pl-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.pl.de \| 47.8 \| 0.665 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-pl-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "pl", "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 #pl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-pl-de * source languages: pl * target languages: de * OPUS readme: pl-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: 47.8, chr-F: 0.665	[ "### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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: 47.8, chr-F: 0.665" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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: 47.8, chr-F: 0.665" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #pl #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-pl-de\n\n\n* source languages: pl\n* target languages: de\n* OPUS readme: pl-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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