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	### cat-fra * source group: Catalan * target group: French * OPUS readme: [cat-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md) * model: transformer-align * source language(s): cat * target language(s): fra * 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/cat-fra/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.cat.fra \| 52.4 \| 0.694 \| ### System Info: - hf_name: cat-fra - source_languages: cat - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'fr'] - src_constituents: {'cat'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: fra - short_pair: ca-fr - chrF2_score: 0.6940000000000001 - bleu: 52.4 - brevity_penalty: 0.987 - ref_len: 5517.0 - src_name: Catalan - tgt_name: French - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: fr - prefer_old: False - long_pair: cat-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "fr"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ca-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "fr" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cat-fra * source group: Catalan * target group: French * OPUS readme: cat-fra * model: transformer-align * source language(s): cat * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.4, chr-F: 0.694 ### System Info: * hf\_name: cat-fra * source\_languages: cat * target\_languages: fra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'fr'] * src\_constituents: {'cat'} * tgt\_constituents: {'fra'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cat * tgt\_alpha3: fra * short\_pair: ca-fr * chrF2\_score: 0.6940000000000001 * bleu: 52.4 * brevity\_penalty: 0.987 * ref\_len: 5517.0 * src\_name: Catalan * tgt\_name: French * train\_date: 2020-06-16 * src\_alpha2: ca * tgt\_alpha2: fr * prefer\_old: False * long\_pair: cat-fra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cat-fra\n\n\n* source group: Catalan\n* target group: French\n* OPUS readme: cat-fra\n* model: transformer-align\n* source language(s): cat\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.4, chr-F: 0.694", "### System Info:\n\n\n* hf\\_name: cat-fra\n* source\\_languages: cat\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'fr']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'fra'}\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: cat\n* tgt\\_alpha3: fra\n* short\\_pair: ca-fr\n* chrF2\\_score: 0.6940000000000001\n* bleu: 52.4\n* brevity\\_penalty: 0.987\n* ref\\_len: 5517.0\n* src\\_name: Catalan\n* tgt\\_name: French\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: cat-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 #ca #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cat-fra\n\n\n* source group: Catalan\n* target group: French\n* OPUS readme: cat-fra\n* model: transformer-align\n* source language(s): cat\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.4, chr-F: 0.694", "### System Info:\n\n\n* hf\\_name: cat-fra\n* source\\_languages: cat\n* target\\_languages: fra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'fr']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'fra'}\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: cat\n* tgt\\_alpha3: fra\n* short\\_pair: ca-fr\n* chrF2\\_score: 0.6940000000000001\n* bleu: 52.4\n* brevity\\_penalty: 0.987\n* ref\\_len: 5517.0\n* src\\_name: Catalan\n* tgt\\_name: French\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: fr\n* prefer\\_old: False\n* long\\_pair: cat-fra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 391 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cat-fra\n\n\n* source group: Catalan\n* target group: French\n* OPUS readme: cat-fra\n* model: transformer-align\n* source language(s): cat\n* target language(s): fra\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.4, chr-F: 0.694" ]	[ -0.1386658102273941, 0.15595680475234985, -0.002691940637305379, 0.05091456323862076, 0.0973244458436966, -0.008862199261784554, 0.018098657950758934, 0.1289840191602707, 0.049837492406368256, 0.033970776945352554, 0.09755419939756393, 0.1451011747121811, 0.04831492528319359, 0.08229541033506393, -0.04014373570680618, -0.1428895741701126, 0.0909191444516182, 0.05596083030104637, -0.04382271692156792, 0.1231306865811348, 0.09557410329580307, -0.023279929533600807, 0.112859345972538, 0.0036635659635066986, -0.042929794639348984, 0.07787070423364639, 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null	null	transformers	### cat-ita * source group: Catalan * target group: Italian * OPUS readme: [cat-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md) * model: transformer-align * source language(s): cat * target language(s): ita * 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/cat-ita/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.cat.ita \| 48.6 \| 0.690 \| ### System Info: - hf_name: cat-ita - source_languages: cat - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'it'] - src_constituents: {'cat'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ita - short_pair: ca-it - chrF2_score: 0.69 - bleu: 48.6 - brevity_penalty: 0.985 - ref_len: 1995.0 - src_name: Catalan - tgt_name: Italian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: it - prefer_old: False - long_pair: cat-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "it"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ca-it	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cat-ita * source group: Catalan * target group: Italian * OPUS readme: cat-ita * model: transformer-align * source language(s): cat * target language(s): ita * 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: 48.6, chr-F: 0.690 ### System Info: * hf\_name: cat-ita * source\_languages: cat * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'it'] * src\_constituents: {'cat'} * tgt\_constituents: {'ita'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cat * tgt\_alpha3: ita * short\_pair: ca-it * chrF2\_score: 0.69 * bleu: 48.6 * brevity\_penalty: 0.985 * ref\_len: 1995.0 * src\_name: Catalan * tgt\_name: Italian * train\_date: 2020-06-16 * src\_alpha2: ca * tgt\_alpha2: it * prefer\_old: False * long\_pair: cat-ita * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cat-ita\n\n\n* source group: Catalan\n* target group: Italian\n* OPUS readme: cat-ita\n* model: transformer-align\n* source language(s): cat\n* target language(s): ita\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: 48.6, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: cat-ita\n* source\\_languages: cat\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'it']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'ita'}\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: cat\n* tgt\\_alpha3: ita\n* short\\_pair: ca-it\n* chrF2\\_score: 0.69\n* bleu: 48.6\n* brevity\\_penalty: 0.985\n* ref\\_len: 1995.0\n* src\\_name: Catalan\n* tgt\\_name: Italian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: cat-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 #ca #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cat-ita\n\n\n* source group: Catalan\n* target group: Italian\n* OPUS readme: cat-ita\n* model: transformer-align\n* source language(s): cat\n* target language(s): ita\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: 48.6, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: cat-ita\n* source\\_languages: cat\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'it']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'ita'}\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: cat\n* tgt\\_alpha3: ita\n* short\\_pair: ca-it\n* chrF2\\_score: 0.69\n* bleu: 48.6\n* brevity\\_penalty: 0.985\n* ref\\_len: 1995.0\n* src\\_name: Catalan\n* tgt\\_name: Italian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: cat-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 387 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cat-ita\n\n\n* source group: Catalan\n* target group: Italian\n* OPUS readme: cat-ita\n* model: transformer-align\n* source language(s): cat\n* target language(s): ita\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: 48.6, chr-F: 0.690" ]	[ -0.1276448667049408, 0.12528124451637268, -0.0025925308000296354, 0.04650568589568138, 0.06599333882331848, 0.03855987265706062, 0.05961193889379501, 0.1551637500524521, 0.06602077186107635, 0.01286474522203207, 0.06362206488847733, 0.1260175108909607, 0.07360874861478806, 0.08163745701313019, -0.027163809165358543, -0.1506202220916748, 0.07938734441995621, 0.054241083562374115, -0.03664584830403328, 0.13466408848762512, 0.08603274077177048, -0.0028561544604599476, 0.0960773453116417, -0.028768640011548996, -0.02383827604353428, 0.08518857508897781, -0.0038943560793995857, -0.08653772622346878, 0.05226020887494087, 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null	null	transformers	### cat-nld * source group: Catalan * target group: Dutch * OPUS readme: [cat-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md) * model: transformer-align * source language(s): cat * target language(s): nld * 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/cat-nld/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.cat.nld \| 45.1 \| 0.632 \| ### System Info: - hf_name: cat-nld - source_languages: cat - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'nl'] - src_constituents: {'cat'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: nld - short_pair: ca-nl - chrF2_score: 0.632 - bleu: 45.1 - brevity_penalty: 0.965 - ref_len: 4157.0 - src_name: Catalan - tgt_name: Dutch - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: nl - prefer_old: False - long_pair: cat-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "nl"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ca-nl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "nl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cat-nld * source group: Catalan * target group: Dutch * OPUS readme: cat-nld * model: transformer-align * source language(s): cat * target language(s): nld * 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: 45.1, chr-F: 0.632 ### System Info: * hf\_name: cat-nld * source\_languages: cat * target\_languages: nld * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'nl'] * src\_constituents: {'cat'} * tgt\_constituents: {'nld'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cat * tgt\_alpha3: nld * short\_pair: ca-nl * chrF2\_score: 0.632 * bleu: 45.1 * brevity\_penalty: 0.965 * ref\_len: 4157.0 * src\_name: Catalan * tgt\_name: Dutch * train\_date: 2020-06-16 * src\_alpha2: ca * tgt\_alpha2: nl * prefer\_old: False * long\_pair: cat-nld * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cat-nld\n\n\n* source group: Catalan\n* target group: Dutch\n* OPUS readme: cat-nld\n* model: transformer-align\n* source language(s): cat\n* target language(s): nld\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: 45.1, chr-F: 0.632", "### System Info:\n\n\n* hf\\_name: cat-nld\n* source\\_languages: cat\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'nl']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'nld'}\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: cat\n* tgt\\_alpha3: nld\n* short\\_pair: ca-nl\n* chrF2\\_score: 0.632\n* bleu: 45.1\n* brevity\\_penalty: 0.965\n* ref\\_len: 4157.0\n* src\\_name: Catalan\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: cat-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 #ca #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cat-nld\n\n\n* source group: Catalan\n* target group: Dutch\n* OPUS readme: cat-nld\n* model: transformer-align\n* source language(s): cat\n* target language(s): nld\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: 45.1, chr-F: 0.632", "### System Info:\n\n\n* hf\\_name: cat-nld\n* source\\_languages: cat\n* target\\_languages: nld\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'nl']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'nld'}\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: cat\n* tgt\\_alpha3: nld\n* short\\_pair: ca-nl\n* chrF2\\_score: 0.632\n* bleu: 45.1\n* brevity\\_penalty: 0.965\n* ref\\_len: 4157.0\n* src\\_name: Catalan\n* tgt\\_name: Dutch\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: nl\n* prefer\\_old: False\n* long\\_pair: cat-nld\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 #ca #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cat-nld\n\n\n* source group: Catalan\n* target group: Dutch\n* OPUS readme: cat-nld\n* model: transformer-align\n* source language(s): cat\n* target language(s): nld\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: 45.1, chr-F: 0.632" ]	[ -0.11960531771183014, 0.1452503651380539, -0.0024526305496692657, 0.04380269721150398, 0.07501939684152603, -0.014230451546609402, 0.020762871950864792, 0.13598985970020294, 0.06743946671485901, 0.032491426914930344, 0.09485547989606857, 0.1523914784193039, 0.045452818274497986, 0.08010993152856827, -0.015602469444274902, -0.16235467791557312, 0.10431976616382599, 0.05309617891907692, -0.033060770481824875, 0.13066527247428894, 0.08721531927585602, -0.030427126213908195, 0.10184730589389801, 0.003293659072369337, -0.029391655698418617, 0.06590687483549118, -0.023677827790379524, -0.07855624705553055, 0.06234907731413841, 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null	null	transformers	### cat-por * source group: Catalan * target group: Portuguese * OPUS readme: [cat-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md) * model: transformer-align * source language(s): cat * target language(s): por * 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/cat-por/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.cat.por \| 44.9 \| 0.658 \| ### System Info: - hf_name: cat-por - source_languages: cat - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'pt'] - src_constituents: {'cat'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt - src_alpha3: cat - tgt_alpha3: por - short_pair: ca-pt - chrF2_score: 0.6579999999999999 - bleu: 44.9 - brevity_penalty: 0.953 - ref_len: 5847.0 - src_name: Catalan - tgt_name: Portuguese - train_date: 2020-06-17 - src_alpha2: ca - tgt_alpha2: pt - prefer_old: False - long_pair: cat-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "pt"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ca-pt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "pt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "pt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cat-por * source group: Catalan * target group: Portuguese * OPUS readme: cat-por * model: transformer-align * source language(s): cat * target language(s): por * 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: 44.9, chr-F: 0.658 ### System Info: * hf\_name: cat-por * source\_languages: cat * target\_languages: por * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'pt'] * src\_constituents: {'cat'} * tgt\_constituents: {'por'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cat * tgt\_alpha3: por * short\_pair: ca-pt * chrF2\_score: 0.6579999999999999 * bleu: 44.9 * brevity\_penalty: 0.953 * ref\_len: 5847.0 * src\_name: Catalan * tgt\_name: Portuguese * train\_date: 2020-06-17 * src\_alpha2: ca * tgt\_alpha2: pt * prefer\_old: False * long\_pair: cat-por * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cat-por\n\n\n* source group: Catalan\n* target group: Portuguese\n* OPUS readme: cat-por\n* model: transformer-align\n* source language(s): cat\n* target language(s): por\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: 44.9, chr-F: 0.658", "### System Info:\n\n\n* hf\\_name: cat-por\n* source\\_languages: cat\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'pt']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'por'}\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: cat\n* tgt\\_alpha3: por\n* short\\_pair: ca-pt\n* chrF2\\_score: 0.6579999999999999\n* bleu: 44.9\n* brevity\\_penalty: 0.953\n* ref\\_len: 5847.0\n* src\\_name: Catalan\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ca\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: cat-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cat-por\n\n\n* source group: Catalan\n* target group: Portuguese\n* OPUS readme: cat-por\n* model: transformer-align\n* source language(s): cat\n* target language(s): por\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: 44.9, chr-F: 0.658", "### System Info:\n\n\n* hf\\_name: cat-por\n* source\\_languages: cat\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'pt']\n* src\\_constituents: {'cat'}\n* tgt\\_constituents: {'por'}\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: cat\n* tgt\\_alpha3: por\n* short\\_pair: ca-pt\n* chrF2\\_score: 0.6579999999999999\n* bleu: 44.9\n* brevity\\_penalty: 0.953\n* ref\\_len: 5847.0\n* src\\_name: Catalan\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-17\n* src\\_alpha2: ca\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: cat-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 122, 394 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cat-por\n\n\n* source group: Catalan\n* target group: Portuguese\n* OPUS readme: cat-por\n* model: transformer-align\n* source language(s): cat\n* target language(s): por\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: 44.9, chr-F: 0.658" ]	[ -0.1383032202720642, 0.15268586575984955, -0.0025542068760842085, 0.04461061954498291, 0.11026120185852051, -0.007094685919582844, 0.015757037326693535, 0.14401377737522125, 0.04023543745279312, 0.036817923188209534, 0.06376289576292038, 0.15075549483299255, 0.06268443912267685, 0.09570001065731049, -0.017529800534248352, -0.16812127828598022, 0.09892228990793228, 0.054854147136211395, -0.052774831652641296, 0.12573771178722382, 0.0764983594417572, -0.02157079242169857, 0.10849513858556747, -0.002091067610308528, -0.01639954000711441, 0.07082760334014893, 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null	null	transformers	### cat-ukr * source group: Catalan * target group: Ukrainian * OPUS readme: [cat-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md) * model: transformer-align * source language(s): cat * target language(s): ukr * 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/cat-ukr/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.cat.ukr \| 28.6 \| 0.503 \| ### System Info: - hf_name: cat-ukr - source_languages: cat - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'uk'] - src_constituents: {'cat'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ukr - short_pair: ca-uk - chrF2_score: 0.503 - bleu: 28.6 - brevity_penalty: 0.9670000000000001 - ref_len: 2438.0 - src_name: Catalan - tgt_name: Ukrainian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: uk - prefer_old: False - long_pair: cat-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "uk"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ca-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ca", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cat-ukr * source group: Catalan * target group: Ukrainian * OPUS readme: cat-ukr * model: transformer-align * source language(s): cat * 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: 28.6, chr-F: 0.503 ### System Info: * hf\_name: cat-ukr * source\_languages: cat * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'uk'] * src\_constituents: {'cat'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cat * tgt\_alpha3: ukr * short\_pair: ca-uk * chrF2\_score: 0.503 * bleu: 28.6 * brevity\_penalty: 0.9670000000000001 * ref\_len: 2438.0 * src\_name: Catalan * tgt\_name: Ukrainian * train\_date: 2020-06-16 * src\_alpha2: ca * tgt\_alpha2: uk * prefer\_old: False * long\_pair: cat-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cat-ukr\n\n\n* source group: Catalan\n* target group: Ukrainian\n* OPUS readme: cat-ukr\n* model: transformer-align\n* source language(s): cat\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: 28.6, chr-F: 0.503", "### System Info:\n\n\n* hf\\_name: cat-ukr\n* source\\_languages: cat\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'uk']\n* src\\_constituents: {'cat'}\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: cat\n* tgt\\_alpha3: ukr\n* short\\_pair: ca-uk\n* chrF2\\_score: 0.503\n* bleu: 28.6\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 2438.0\n* src\\_name: Catalan\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: cat-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 #ca #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cat-ukr\n\n\n* source group: Catalan\n* target group: Ukrainian\n* OPUS readme: cat-ukr\n* model: transformer-align\n* source language(s): cat\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: 28.6, chr-F: 0.503", "### System Info:\n\n\n* hf\\_name: cat-ukr\n* source\\_languages: cat\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'uk']\n* src\\_constituents: {'cat'}\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: cat\n* tgt\\_alpha3: ukr\n* short\\_pair: ca-uk\n* chrF2\\_score: 0.503\n* bleu: 28.6\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 2438.0\n* src\\_name: Catalan\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-16\n* src\\_alpha2: ca\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: cat-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 122, 395 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cat-ukr\n\n\n* source group: Catalan\n* target group: Ukrainian\n* OPUS readme: cat-ukr\n* model: transformer-align\n* source language(s): cat\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: 28.6, chr-F: 0.503" ]	[ -0.12325607240200043, 0.09828800708055496, -0.0030330109875649214, 0.017554592341184616, 0.11808610707521439, 0.018626587465405464, 0.06723211705684662, 0.1279495358467102, 0.0954168513417244, 0.04351213201880455, 0.10990938544273376, 0.12165055423974991, 0.0409737303853035, 0.07210981845855713, 0.00191624800208956, -0.17923596501350403, 0.11470291018486023, 0.03841499611735344, -0.06423361599445343, 0.1221856027841568, 0.10384421795606613, -0.049695875495672226, 0.097946397960186, -0.0010131287854164839, -0.04570312425494194, 0.07431136071681976, 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null	null	transformers	### cau-eng * source group: Caucasian languages * target group: English * OPUS readme: [cau-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md) * model: transformer * source language(s): abk ady che kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.abk-eng.abk.eng \| 0.3 \| 0.134 \| \| Tatoeba-test.ady-eng.ady.eng \| 0.4 \| 0.104 \| \| Tatoeba-test.che-eng.che.eng \| 0.6 \| 0.128 \| \| Tatoeba-test.kat-eng.kat.eng \| 18.6 \| 0.366 \| \| Tatoeba-test.multi.eng \| 16.6 \| 0.351 \| ### System Info: - hf_name: cau-eng - source_languages: cau - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ab', 'ka', 'ce', 'cau', 'en'] - src_constituents: {'abk', 'kat', 'che', 'ady'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt - src_alpha3: cau - tgt_alpha3: eng - short_pair: cau-en - chrF2_score: 0.35100000000000003 - bleu: 16.6 - brevity_penalty: 1.0 - ref_len: 6285.0 - src_name: Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cau - tgt_alpha2: en - prefer_old: False - long_pair: cau-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ab", "ka", "ce", "cau", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cau-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ab", "ka", "ce", "cau", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ab", "ka", "ce", "cau", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ab #ka #ce #cau #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cau-eng * source group: Caucasian languages * target group: English * OPUS readme: cau-eng * model: transformer * source language(s): abk ady che kat * 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: 0.3, chr-F: 0.134 testset: URL, BLEU: 0.4, chr-F: 0.104 testset: URL, BLEU: 0.6, chr-F: 0.128 testset: URL, BLEU: 18.6, chr-F: 0.366 testset: URL, BLEU: 16.6, chr-F: 0.351 ### System Info: * hf\_name: cau-eng * source\_languages: cau * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ab', 'ka', 'ce', 'cau', 'en'] * src\_constituents: {'abk', 'kat', 'che', 'ady'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cau * tgt\_alpha3: eng * short\_pair: cau-en * chrF2\_score: 0.35100000000000003 * bleu: 16.6 * brevity\_penalty: 1.0 * ref\_len: 6285.0 * src\_name: Caucasian languages * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: cau * tgt\_alpha2: en * prefer\_old: False * long\_pair: cau-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cau-eng\n\n\n* source group: Caucasian languages\n* target group: English\n* OPUS readme: cau-eng\n* model: transformer\n* source language(s): abk ady che kat\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: 0.3, chr-F: 0.134\ntestset: URL, BLEU: 0.4, chr-F: 0.104\ntestset: URL, BLEU: 0.6, chr-F: 0.128\ntestset: URL, BLEU: 18.6, chr-F: 0.366\ntestset: URL, BLEU: 16.6, chr-F: 0.351", "### System Info:\n\n\n* hf\\_name: cau-eng\n* source\\_languages: cau\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ab', 'ka', 'ce', 'cau', 'en']\n* src\\_constituents: {'abk', 'kat', 'che', 'ady'}\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: cau\n* tgt\\_alpha3: eng\n* short\\_pair: cau-en\n* chrF2\\_score: 0.35100000000000003\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6285.0\n* src\\_name: Caucasian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cau\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cau-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 #ab #ka #ce #cau #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cau-eng\n\n\n* source group: Caucasian languages\n* target group: English\n* OPUS readme: cau-eng\n* model: transformer\n* source language(s): abk ady che kat\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: 0.3, chr-F: 0.134\ntestset: URL, BLEU: 0.4, chr-F: 0.104\ntestset: URL, BLEU: 0.6, chr-F: 0.128\ntestset: URL, BLEU: 18.6, chr-F: 0.366\ntestset: URL, BLEU: 16.6, chr-F: 0.351", "### System Info:\n\n\n* hf\\_name: cau-eng\n* source\\_languages: cau\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ab', 'ka', 'ce', 'cau', 'en']\n* src\\_constituents: {'abk', 'kat', 'che', 'ady'}\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: cau\n* tgt\\_alpha3: eng\n* short\\_pair: cau-en\n* chrF2\\_score: 0.35100000000000003\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 6285.0\n* src\\_name: Caucasian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cau\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cau-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 68, 191, 417 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ab #ka #ce #cau #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cau-eng\n\n\n* source group: Caucasian languages\n* target group: English\n* OPUS readme: cau-eng\n* model: transformer\n* source language(s): abk ady che kat\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: 0.3, chr-F: 0.134\ntestset: URL, BLEU: 0.4, chr-F: 0.104\ntestset: URL, BLEU: 0.6, chr-F: 0.128\ntestset: URL, BLEU: 18.6, chr-F: 0.366\ntestset: URL, BLEU: 16.6, chr-F: 0.351" ]	[ -0.1603541225194931, 0.07618127763271332, -0.0052484432235360146, 0.03337525576353073, 0.0238893274217844, 0.04459747299551964, 0.07537344098091125, 0.13351476192474365, 0.053752753883600235, 0.08227693289518356, 0.12987075746059418, 0.03801264241337776, 0.042259205132722855, 0.14415229856967926, -0.05406472459435463, -0.06431449949741364, 0.01215819176286459, 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null	null	transformers	### ccs-eng * source group: South Caucasian languages * target group: English * OPUS readme: [ccs-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md) * model: transformer * source language(s): kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.kat-eng.kat.eng \| 18.0 \| 0.357 \| \| Tatoeba-test.multi.eng \| 18.0 \| 0.357 \| ### System Info: - hf_name: ccs-eng - source_languages: ccs - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'ccs', 'en'] - src_constituents: {'kat'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt - src_alpha3: ccs - tgt_alpha3: eng - short_pair: ccs-en - chrF2_score: 0.35700000000000004 - bleu: 18.0 - brevity_penalty: 1.0 - ref_len: 5992.0 - src_name: South Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: ccs - tgt_alpha2: en - prefer_old: False - long_pair: ccs-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ka", "ccs", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ccs-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ka", "ccs", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ka", "ccs", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ka #ccs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ccs-eng * source group: South Caucasian languages * target group: English * OPUS readme: ccs-eng * model: transformer * source language(s): kat * 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: 18.0, chr-F: 0.357 testset: URL, BLEU: 18.0, chr-F: 0.357 ### System Info: * hf\_name: ccs-eng * source\_languages: ccs * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ka', 'ccs', 'en'] * src\_constituents: {'kat'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ccs * tgt\_alpha3: eng * short\_pair: ccs-en * chrF2\_score: 0.35700000000000004 * bleu: 18.0 * brevity\_penalty: 1.0 * ref\_len: 5992.0 * src\_name: South Caucasian languages * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: ccs * tgt\_alpha2: en * prefer\_old: False * long\_pair: ccs-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ccs-eng\n\n\n* source group: South Caucasian languages\n* target group: English\n* OPUS readme: ccs-eng\n* model: transformer\n* source language(s): kat\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: 18.0, chr-F: 0.357\ntestset: URL, BLEU: 18.0, chr-F: 0.357", "### System Info:\n\n\n* hf\\_name: ccs-eng\n* source\\_languages: ccs\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'ccs', 'en']\n* src\\_constituents: {'kat'}\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: ccs\n* tgt\\_alpha3: eng\n* short\\_pair: ccs-en\n* chrF2\\_score: 0.35700000000000004\n* bleu: 18.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 5992.0\n* src\\_name: South Caucasian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: ccs\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ccs-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #ccs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ccs-eng\n\n\n* source group: South Caucasian languages\n* target group: English\n* OPUS readme: ccs-eng\n* model: transformer\n* source language(s): kat\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: 18.0, chr-F: 0.357\ntestset: URL, BLEU: 18.0, chr-F: 0.357", "### System Info:\n\n\n* hf\\_name: ccs-eng\n* source\\_languages: ccs\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ka', 'ccs', 'en']\n* src\\_constituents: {'kat'}\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: ccs\n* tgt\\_alpha3: eng\n* short\\_pair: ccs-en\n* chrF2\\_score: 0.35700000000000004\n* bleu: 18.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 5992.0\n* src\\_name: South Caucasian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: ccs\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ccs-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 64, 139, 402 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ka #ccs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ccs-eng\n\n\n* source group: South Caucasian languages\n* target group: English\n* OPUS readme: ccs-eng\n* model: transformer\n* source language(s): kat\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: 18.0, chr-F: 0.357\ntestset: URL, BLEU: 18.0, chr-F: 0.357" ]	[ -0.12910030782222748, 0.04093167558312416, -0.0032799795735627413, 0.04814926162362099, 0.0954970046877861, 0.033195313066244125, 0.06537961959838867, 0.11108864098787308, 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null	null	transformers	### ceb-eng * source group: Cebuano * target group: English * OPUS readme: [ceb-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md) * model: transformer-align * source language(s): ceb * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ceb.eng \| 21.5 \| 0.387 \| ### System Info: - hf_name: ceb-eng - source_languages: ceb - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ceb', 'en'] - src_constituents: {'ceb'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt - src_alpha3: ceb - tgt_alpha3: eng - short_pair: ceb-en - chrF2_score: 0.387 - bleu: 21.5 - brevity_penalty: 1.0 - ref_len: 2293.0 - src_name: Cebuano - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ceb - tgt_alpha2: en - prefer_old: False - long_pair: ceb-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ceb", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ceb-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ceb", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ceb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ceb-eng * source group: Cebuano * target group: English * OPUS readme: ceb-eng * model: transformer-align * source language(s): ceb * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.5, chr-F: 0.387 ### System Info: * hf\_name: ceb-eng * source\_languages: ceb * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ceb', 'en'] * src\_constituents: {'ceb'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ceb * tgt\_alpha3: eng * short\_pair: ceb-en * chrF2\_score: 0.387 * bleu: 21.5 * brevity\_penalty: 1.0 * ref\_len: 2293.0 * src\_name: Cebuano * tgt\_name: English * train\_date: 2020-06-17 * src\_alpha2: ceb * tgt\_alpha2: en * prefer\_old: False * long\_pair: ceb-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ceb-eng\n\n\n* source group: Cebuano\n* target group: English\n* OPUS readme: ceb-eng\n* model: transformer-align\n* source language(s): ceb\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.387", "### System Info:\n\n\n* hf\\_name: ceb-eng\n* source\\_languages: ceb\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ceb', 'en']\n* src\\_constituents: {'ceb'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ceb\n* tgt\\_alpha3: eng\n* short\\_pair: ceb-en\n* chrF2\\_score: 0.387\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2293.0\n* src\\_name: Cebuano\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ceb\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ceb-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 #ceb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ceb-eng\n\n\n* source group: Cebuano\n* target group: English\n* OPUS readme: ceb-eng\n* model: transformer-align\n* source language(s): ceb\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.387", "### System Info:\n\n\n* hf\\_name: ceb-eng\n* source\\_languages: ceb\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ceb', 'en']\n* src\\_constituents: {'ceb'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ceb\n* tgt\\_alpha3: eng\n* short\\_pair: ceb-en\n* chrF2\\_score: 0.387\n* bleu: 21.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 2293.0\n* src\\_name: Cebuano\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ceb\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ceb-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 62, 124, 395 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ceb-eng\n\n\n* source group: Cebuano\n* target group: English\n* OPUS readme: ceb-eng\n* model: transformer-align\n* source language(s): ceb\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.5, chr-F: 0.387" ]	[ -0.11737962067127228, 0.10509105771780014, -0.0029988684691488743, 0.033721450716257095, 0.08320587873458862, 0.025314923375844955, 0.072376549243927, 0.1290389895439148, -0.01836470142006874, 0.0392414927482605, 0.10519222170114517, 0.12702001631259918, 0.05696360766887665, 0.12656646966934204, -0.05171862617135048, -0.16270335018634796, 0.07481168210506439, 0.06812363117933273, 0.002045332221314311, 0.15184803307056427, 0.09011995047330856, -0.048910025507211685, 0.10744568705558777, -0.019175074994564056, -0.07234209775924683, 0.048100776970386505, -0.000930433627218008, -0.08762592822313309, 0.05857863649725914, 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null	null	transformers	### opus-mt-ceb-es * source languages: ceb * target languages: es * OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ceb.es \| 31.6 \| 0.508 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ceb-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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 #ceb #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ceb-es * source languages: ceb * target languages: es * OPUS readme: ceb-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: 31.6, chr-F: 0.508	[ "### opus-mt-ceb-es\n\n\n* source languages: ceb\n* target languages: es\n* OPUS readme: ceb-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: 31.6, chr-F: 0.508" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-es\n\n\n* source languages: ceb\n* target languages: es\n* OPUS readme: ceb-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: 31.6, chr-F: 0.508" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ceb-es\n\n\n* source languages: ceb\n* target languages: es\n* OPUS readme: ceb-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: 31.6, chr-F: 0.508" ]	[ -0.12958602607250214, 0.1225086972117424, -0.0036760468501597643, 0.04501543566584587, 0.058582011610269547, 0.011754637584090233, 0.06806174665689468, 0.13863851130008698, 0.005921616218984127, 0.02131020836532116, 0.13987784087657928, 0.14017711579799652, 0.025319961830973625, 0.13837683200836182, -0.07969582080841064, -0.11444666236639023, 0.0652601569890976, 0.0596722774207592, 0.005721799097955227, 0.15525834262371063, 0.1028100997209549, -0.032973188906908035, 0.0972488597035408, -0.038616202771663666, -0.05841183662414551, 0.0705580934882164, 0.00948112178593874, -0.07563215494155884, 0.06698727607727051, 0.04374922439455986, 0.056617043912410736, 0.07121586799621582, -0.027573559433221817, -0.21287095546722412, 0.011427638120949268, -0.010068410076200962, -0.04750613868236542, 0.02426547184586525, 0.011117525398731232, -0.10190878808498383, 0.1503119170665741, -0.023032208904623985, 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null	null	transformers	### opus-mt-ceb-fi * source languages: ceb * target languages: fi * OPUS readme: [ceb-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ceb.fi \| 27.4 \| 0.525 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ceb-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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 #ceb #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ceb-fi * source languages: ceb * target languages: fi * OPUS readme: ceb-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: 27.4, chr-F: 0.525	[ "### opus-mt-ceb-fi\n\n\n* source languages: ceb\n* target languages: fi\n* OPUS readme: ceb-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: 27.4, chr-F: 0.525" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-fi\n\n\n* source languages: ceb\n* target languages: fi\n* OPUS readme: ceb-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: 27.4, chr-F: 0.525" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ceb-fi\n\n\n* source languages: ceb\n* target languages: fi\n* OPUS readme: ceb-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-ceb-fr * source languages: ceb * target languages: fr * OPUS readme: [ceb-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ceb.fr \| 30.0 \| 0.491 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ceb-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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 #ceb #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ceb-fr * source languages: ceb * target languages: fr * OPUS readme: ceb-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: 30.0, chr-F: 0.491	[ "### opus-mt-ceb-fr\n\n\n* source languages: ceb\n* target languages: fr\n* OPUS readme: ceb-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: 30.0, chr-F: 0.491" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-fr\n\n\n* source languages: ceb\n* target languages: fr\n* OPUS readme: ceb-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: 30.0, chr-F: 0.491" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ceb-fr\n\n\n* source languages: ceb\n* target languages: fr\n* OPUS readme: ceb-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-ceb-sv * source languages: ceb * target languages: sv * OPUS readme: [ceb-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ceb.sv \| 35.5 \| 0.552 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-ceb-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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 #ceb #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ceb-sv * source languages: ceb * target languages: sv * OPUS readme: ceb-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: 35.5, chr-F: 0.552	[ "### opus-mt-ceb-sv\n\n\n* source languages: ceb\n* target languages: sv\n* OPUS readme: ceb-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: 35.5, chr-F: 0.552" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ceb-sv\n\n\n* source languages: ceb\n* target languages: sv\n* OPUS readme: ceb-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: 35.5, chr-F: 0.552" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ceb #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ceb-sv\n\n\n* source languages: ceb\n* target languages: sv\n* OPUS readme: ceb-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: 35.5, chr-F: 0.552" ]	[ -0.13879257440567017, 0.1330263912677765, -0.0032844061497598886, 0.037182118743658066, 0.06850188970565796, 0.004546554293483496, 0.05072249099612236, 0.1343449354171753, -0.00873446837067604, 0.032439183443784714, 0.14850442111492157, 0.1301405131816864, 0.03038373775780201, 0.13391144573688507, -0.08574523776769638, -0.1080978736281395, 0.06500367075204849, 0.05328363925218582, -0.014600862748920918, 0.1508687138557434, 0.09904783964157104, -0.04372759535908699, 0.09746254235506058, -0.03287778049707413, -0.06074025109410286, 0.05448611080646515, 0.023638121783733368, -0.06609112024307251, 0.05686485767364502, 0.04424101859331131, 0.04066082835197449, 0.07493247836828232, -0.005225117318332195, -0.1968778371810913, 0.010129721835255623, -0.01575325056910515, -0.03942422196269035, 0.02627664804458618, 0.01921265199780464, -0.08438484370708466, 0.14620140194892883, -0.039705973118543625, 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null	null	transformers	### cel-eng * source group: Celtic languages * target group: English * OPUS readme: [cel-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md) * model: transformer * source language(s): bre cor cym gla gle glv * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.bre-eng.bre.eng \| 17.2 \| 0.385 \| \| Tatoeba-test.cor-eng.cor.eng \| 3.0 \| 0.172 \| \| Tatoeba-test.cym-eng.cym.eng \| 41.5 \| 0.582 \| \| Tatoeba-test.gla-eng.gla.eng \| 15.4 \| 0.330 \| \| Tatoeba-test.gle-eng.gle.eng \| 50.8 \| 0.668 \| \| Tatoeba-test.glv-eng.glv.eng \| 11.0 \| 0.297 \| \| Tatoeba-test.multi.eng \| 22.8 \| 0.398 \| ### System Info: - hf_name: cel-eng - source_languages: cel - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en'] - src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt - src_alpha3: cel - tgt_alpha3: eng - short_pair: cel-en - chrF2_score: 0.39799999999999996 - bleu: 22.8 - brevity_penalty: 1.0 - ref_len: 42097.0 - src_name: Celtic languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cel - tgt_alpha2: en - prefer_old: False - long_pair: cel-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["gd", "ga", "br", "kw", "gv", "cy", "cel", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cel-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gd", "ga", "br", "kw", "gv", "cy", "cel", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "gd", "ga", "br", "kw", "gv", "cy", "cel", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gd #ga #br #kw #gv #cy #cel #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cel-eng * source group: Celtic languages * target group: English * OPUS readme: cel-eng * model: transformer * source language(s): bre cor cym gla gle glv * 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: 17.2, chr-F: 0.385 testset: URL, BLEU: 3.0, chr-F: 0.172 testset: URL, BLEU: 41.5, chr-F: 0.582 testset: URL, BLEU: 15.4, chr-F: 0.330 testset: URL, BLEU: 50.8, chr-F: 0.668 testset: URL, BLEU: 11.0, chr-F: 0.297 testset: URL, BLEU: 22.8, chr-F: 0.398 ### System Info: * hf\_name: cel-eng * source\_languages: cel * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en'] * src\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cel * tgt\_alpha3: eng * short\_pair: cel-en * chrF2\_score: 0.39799999999999996 * bleu: 22.8 * brevity\_penalty: 1.0 * ref\_len: 42097.0 * src\_name: Celtic languages * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: cel * tgt\_alpha2: en * prefer\_old: False * long\_pair: cel-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cel-eng\n\n\n* source group: Celtic languages\n* target group: English\n* OPUS readme: cel-eng\n* model: transformer\n* source language(s): bre cor cym gla gle glv\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: 17.2, chr-F: 0.385\ntestset: URL, BLEU: 3.0, chr-F: 0.172\ntestset: URL, BLEU: 41.5, chr-F: 0.582\ntestset: URL, BLEU: 15.4, chr-F: 0.330\ntestset: URL, BLEU: 50.8, chr-F: 0.668\ntestset: URL, BLEU: 11.0, chr-F: 0.297\ntestset: URL, BLEU: 22.8, chr-F: 0.398", "### System Info:\n\n\n* hf\\_name: cel-eng\n* source\\_languages: cel\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']\n* src\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\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: cel\n* tgt\\_alpha3: eng\n* short\\_pair: cel-en\n* chrF2\\_score: 0.39799999999999996\n* bleu: 22.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 42097.0\n* src\\_name: Celtic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cel\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cel-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 #gd #ga #br #kw #gv #cy #cel #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cel-eng\n\n\n* source group: Celtic languages\n* target group: English\n* OPUS readme: cel-eng\n* model: transformer\n* source language(s): bre cor cym gla gle glv\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: 17.2, chr-F: 0.385\ntestset: URL, BLEU: 3.0, chr-F: 0.172\ntestset: URL, BLEU: 41.5, chr-F: 0.582\ntestset: URL, BLEU: 15.4, chr-F: 0.330\ntestset: URL, BLEU: 50.8, chr-F: 0.668\ntestset: URL, BLEU: 11.0, chr-F: 0.297\ntestset: URL, BLEU: 22.8, chr-F: 0.398", "### System Info:\n\n\n* hf\\_name: cel-eng\n* source\\_languages: cel\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']\n* src\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\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: cel\n* tgt\\_alpha3: eng\n* short\\_pair: cel-en\n* chrF2\\_score: 0.39799999999999996\n* bleu: 22.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 42097.0\n* src\\_name: Celtic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cel\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cel-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 75, 226, 438 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gd #ga #br #kw #gv #cy #cel #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cel-eng\n\n\n* source group: Celtic languages\n* target group: English\n* OPUS readme: cel-eng\n* model: transformer\n* source language(s): bre cor cym gla gle glv\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: 17.2, chr-F: 0.385\ntestset: URL, BLEU: 3.0, chr-F: 0.172\ntestset: URL, BLEU: 41.5, chr-F: 0.582\ntestset: URL, BLEU: 15.4, chr-F: 0.330\ntestset: URL, BLEU: 50.8, chr-F: 0.668\ntestset: URL, BLEU: 11.0, chr-F: 0.297\ntestset: URL, BLEU: 22.8, chr-F: 0.398" ]	[ -0.16229742765426636, 0.14679254591464996, -0.006704516708850861, 0.026554357260465622, -0.02173137664794922, 0.05344460904598236, 0.051184527575969696, 0.12736204266548157, 0.033599384129047394, 0.11249744892120361, 0.15133538842201233, 0.08576993644237518, 0.0192317683249712, 0.13477084040641785, -0.05610675364732742, -0.036014508455991745, 0.010901937261223793, 0.03820592164993286, -0.07855868339538574, 0.130979984998703, 0.05464979261159897, -0.031065640971064568, 0.052736688405275345, -0.07782968133687973, -0.012358292937278748, 0.06246114522218704, 0.021498966962099075, -0.010188110172748566, 0.05387556925415993, 0.09150789678096771, 0.0030806781724095345, 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null	null	transformers	### opus-mt-chk-en * source languages: chk * target languages: en * OPUS readme: [chk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.chk.en \| 31.2 \| 0.465 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-chk-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "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 #chk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-chk-en * source languages: chk * target languages: en * OPUS readme: chk-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.2, chr-F: 0.465	[ "### opus-mt-chk-en\n\n\n* source languages: chk\n* target languages: en\n* OPUS readme: chk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.465" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-en\n\n\n* source languages: chk\n* target languages: en\n* OPUS readme: chk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.465" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-chk-en\n\n\n* source languages: chk\n* target languages: en\n* OPUS readme: chk-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.465" ]	[ -0.13292565941810608, 0.09397485852241516, -0.003259191755205393, 0.04219614341855049, 0.043816860765218735, 0.012850997969508171, 0.03626739978790283, 0.15737345814704895, -0.011123422533273697, 0.005916579160839319, 0.1274760365486145, 0.13961488008499146, 0.020196255296468735, 0.13894346356391907, -0.0753583312034607, -0.13930624723434448, 0.03372497484087944, 0.0658293142914772, -0.053191889077425, 0.1526343673467636, 0.0888173058629036, -0.04918692633509636, 0.09221045672893524, -0.022494284436106682, -0.03880932927131653, 0.03535112366080284, 0.011841950006783009, -0.08235354721546173, 0.05637091398239136, 0.039966944605112076, 0.05297208949923515, 0.08347254246473312, -0.019536927342414856, -0.19287614524364471, 0.018616771325469017, 0.004493230953812599, -0.02472313493490219, 0.02711477503180504, 0.0048065753653645515, -0.07815603911876678, 0.14604322612285614, -0.10638105869293213, 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null	null	transformers	### opus-mt-chk-es * source languages: chk * target languages: es * OPUS readme: [chk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.chk.es \| 20.8 \| 0.374 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-chk-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "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 #chk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-chk-es * source languages: chk * target languages: es * OPUS readme: chk-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.8, chr-F: 0.374	[ "### opus-mt-chk-es\n\n\n* source languages: chk\n* target languages: es\n* OPUS readme: chk-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.8, chr-F: 0.374" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-es\n\n\n* source languages: chk\n* target languages: es\n* OPUS readme: chk-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.8, chr-F: 0.374" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-chk-es\n\n\n* source languages: chk\n* target languages: es\n* OPUS readme: chk-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-chk-fr * source languages: chk * target languages: fr * OPUS readme: [chk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.chk.fr \| 22.4 \| 0.387 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-chk-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "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 #chk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-chk-fr * source languages: chk * target languages: fr * OPUS readme: chk-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: 22.4, chr-F: 0.387	[ "### opus-mt-chk-fr\n\n\n* source languages: chk\n* target languages: fr\n* OPUS readme: chk-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: 22.4, chr-F: 0.387" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-fr\n\n\n* source languages: chk\n* target languages: fr\n* OPUS readme: chk-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: 22.4, chr-F: 0.387" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-chk-fr\n\n\n* source languages: chk\n* target languages: fr\n* OPUS readme: chk-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: 22.4, chr-F: 0.387" ]	[ -0.13860923051834106, 0.08731640875339508, -0.003251118352636695, 0.05254017189145088, 0.04331643134355545, 0.009230894967913628, 0.02609575353562832, 0.1528690755367279, 0.003333381609991193, 0.012982942163944244, 0.12787675857543945, 0.12276121228933334, 0.02404163032770157, 0.13863755762577057, -0.08321227133274078, -0.12996578216552734, 0.03389257565140724, 0.06735216081142426, -0.06887554377317429, 0.1507362574338913, 0.08978940546512604, -0.04322679340839386, 0.10172058641910553, -0.017607450485229492, -0.055366724729537964, 0.038909539580345154, 0.012933967635035515, -0.07509473711252213, 0.05409129336476326, 0.05368313193321228, 0.04349548742175102, 0.08125127851963043, -0.0213547982275486, -0.191057026386261, 0.017909463495016098, 0.0017211389495059848, -0.030514970421791077, 0.027468934655189514, 0.015657104551792145, -0.08055771887302399, 0.16904781758785248, -0.08305050432682037, 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null	null	transformers	### opus-mt-chk-sv * source languages: chk * target languages: sv * OPUS readme: [chk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.chk.sv \| 23.6 \| 0.406 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-chk-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "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 #chk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-chk-sv * source languages: chk * target languages: sv * OPUS readme: chk-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: 23.6, chr-F: 0.406	[ "### opus-mt-chk-sv\n\n\n* source languages: chk\n* target languages: sv\n* OPUS readme: chk-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: 23.6, chr-F: 0.406" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-chk-sv\n\n\n* source languages: chk\n* target languages: sv\n* OPUS readme: chk-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: 23.6, chr-F: 0.406" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #chk #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-chk-sv\n\n\n* source languages: chk\n* target languages: sv\n* OPUS readme: chk-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: 23.6, chr-F: 0.406" ]	[ -0.13745883107185364, 0.0914153903722763, -0.0028820892330259085, 0.036403533071279526, 0.05898217856884003, 0.011419982649385929, 0.03280990198254585, 0.15138037502765656, -0.008268154226243496, 0.014273704029619694, 0.13938869535923004, 0.12658382952213287, 0.028853969648480415, 0.13981978595256805, -0.07533595710992813, -0.13266034424304962, 0.04404209181666374, 0.05702715739607811, -0.058275628834962845, 0.14534106850624084, 0.09340569376945496, -0.05304597318172455, 0.09736503660678864, -0.024075491353869438, -0.037488166242837906, 0.0357191301882267, 0.023775676265358925, -0.0744592696428299, 0.05034395307302475, 0.04282286763191223, 0.03891820088028908, 0.08661607652902603, 0.0024926799815148115, -0.18216291069984436, 0.01356523297727108, -0.004500445444136858, -0.024946579709649086, 0.022900408133864403, 0.01424983236938715, -0.06608341634273529, 0.1401868760585785, -0.10803516209125519, 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null	null	transformers	### cpf-eng * source group: Creoles and pidgins, French‑based * target group: English * OPUS readme: [cpf-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md) * model: transformer * source language(s): gcf_Latn hat mfe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.gcf-eng.gcf.eng \| 8.4 \| 0.229 \| \| Tatoeba-test.hat-eng.hat.eng \| 28.0 \| 0.421 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 66.0 \| 0.808 \| \| Tatoeba-test.multi.eng \| 16.3 \| 0.323 \| ### System Info: - hf_name: cpf-eng - source_languages: cpf - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ht', 'cpf', 'en'] - src_constituents: {'gcf_Latn', 'hat', 'mfe'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpf - tgt_alpha3: eng - short_pair: cpf-en - chrF2_score: 0.32299999999999995 - bleu: 16.3 - brevity_penalty: 1.0 - ref_len: 990.0 - src_name: Creoles and pidgins, French‑based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpf - tgt_alpha2: en - prefer_old: False - long_pair: cpf-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ht", "cpf", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cpf-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "cpf", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "ht", "cpf", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #cpf #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cpf-eng * source group: Creoles and pidgins, French‑based * target group: English * OPUS readme: cpf-eng * model: transformer * source language(s): gcf\_Latn hat mfe * 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: 8.4, chr-F: 0.229 testset: URL, BLEU: 28.0, chr-F: 0.421 testset: URL, BLEU: 66.0, chr-F: 0.808 testset: URL, BLEU: 16.3, chr-F: 0.323 ### System Info: * hf\_name: cpf-eng * source\_languages: cpf * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ht', 'cpf', 'en'] * src\_constituents: {'gcf\_Latn', 'hat', 'mfe'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cpf * tgt\_alpha3: eng * short\_pair: cpf-en * chrF2\_score: 0.32299999999999995 * bleu: 16.3 * brevity\_penalty: 1.0 * ref\_len: 990.0 * src\_name: Creoles and pidgins, French‑based * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: cpf * tgt\_alpha2: en * prefer\_old: False * long\_pair: cpf-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cpf-eng\n\n\n* source group: Creoles and pidgins, French‑based\n* target group: English\n* OPUS readme: cpf-eng\n* model: transformer\n* source language(s): gcf\\_Latn hat mfe\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: 8.4, chr-F: 0.229\ntestset: URL, BLEU: 28.0, chr-F: 0.421\ntestset: URL, BLEU: 66.0, chr-F: 0.808\ntestset: URL, BLEU: 16.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: cpf-eng\n* source\\_languages: cpf\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ht', 'cpf', 'en']\n* src\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpf\n* tgt\\_alpha3: eng\n* short\\_pair: cpf-en\n* chrF2\\_score: 0.32299999999999995\n* bleu: 16.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 990.0\n* src\\_name: Creoles and pidgins, French‑based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpf\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpf-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 #ht #cpf #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpf-eng\n\n\n* source group: Creoles and pidgins, French‑based\n* target group: English\n* OPUS readme: cpf-eng\n* model: transformer\n* source language(s): gcf\\_Latn hat mfe\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: 8.4, chr-F: 0.229\ntestset: URL, BLEU: 28.0, chr-F: 0.421\ntestset: URL, BLEU: 66.0, chr-F: 0.808\ntestset: URL, BLEU: 16.3, chr-F: 0.323", "### System Info:\n\n\n* hf\\_name: cpf-eng\n* source\\_languages: cpf\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ht', 'cpf', 'en']\n* src\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpf\n* tgt\\_alpha3: eng\n* short\\_pair: cpf-en\n* chrF2\\_score: 0.32299999999999995\n* bleu: 16.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 990.0\n* src\\_name: Creoles and pidgins, French‑based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpf\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpf-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 64, 190, 424 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #cpf #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cpf-eng\n\n\n* source group: Creoles and pidgins, French‑based\n* target group: English\n* OPUS readme: cpf-eng\n* model: transformer\n* source language(s): gcf\\_Latn hat mfe\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: 8.4, chr-F: 0.229\ntestset: URL, BLEU: 28.0, chr-F: 0.421\ntestset: URL, BLEU: 66.0, chr-F: 0.808\ntestset: URL, BLEU: 16.3, chr-F: 0.323" ]	[ -0.13978061079978943, 0.1434749960899353, -0.0060959807597100735, 0.042045366019010544, -0.001525369705632329, 0.02151617221534252, 0.0508381612598896, 0.12048617750406265, -0.000264597125351429, 0.056555673480033875, 0.1470767855644226, 0.06316377967596054, 0.018760140985250473, 0.12136416882276535, -0.03419166058301926, -0.0794425830245018, 0.008050845004618168, 0.06804682314395905, -0.052420374006032944, 0.1509750783443451, 0.07167840003967285, -0.01835791766643524, 0.07950758934020996, -0.041569773107767105, 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null	null	transformers	### cpp-cpp * source group: Creoles and pidgins, Portuguese-based * target group: Creoles and pidgins, Portuguese-based * OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md) * model: transformer * source language(s): ind pap * target language(s): ind pap * 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-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa-msa.msa.msa \| 0.7 \| 0.149 \| \| Tatoeba-test.msa-pap.msa.pap \| 31.7 \| 0.577 \| \| Tatoeba-test.multi.multi \| 21.1 \| 0.369 \| \| Tatoeba-test.pap-msa.pap.msa \| 17.7 \| 0.197 \| ### System Info: - hf_name: cpp-cpp - source_languages: cpp - target_languages: cpp - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt - src_alpha3: cpp - tgt_alpha3: cpp - short_pair: cpp-cpp - chrF2_score: 0.369 - bleu: 21.1 - brevity_penalty: 0.882 - ref_len: 18.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: Creoles and pidgins, Portuguese-based - train_date: 2020-07-26 - src_alpha2: cpp - tgt_alpha2: cpp - prefer_old: False - long_pair: cpp-cpp - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["id", "cpp"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cpp-cpp	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "id", "cpp" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cpp-cpp * source group: Creoles and pidgins, Portuguese-based * target group: Creoles and pidgins, Portuguese-based * OPUS readme: cpp-cpp * model: transformer * source language(s): ind pap * target language(s): ind pap * 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: 0.7, chr-F: 0.149 testset: URL, BLEU: 31.7, chr-F: 0.577 testset: URL, BLEU: 21.1, chr-F: 0.369 testset: URL, BLEU: 17.7, chr-F: 0.197 ### System Info: * hf\_name: cpp-cpp * source\_languages: cpp * target\_languages: cpp * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['id', 'cpp'] * src\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cpp * tgt\_alpha3: cpp * short\_pair: cpp-cpp * chrF2\_score: 0.369 * bleu: 21.1 * brevity\_penalty: 0.882 * ref\_len: 18.0 * src\_name: Creoles and pidgins, Portuguese-based * tgt\_name: Creoles and pidgins, Portuguese-based * train\_date: 2020-07-26 * src\_alpha2: cpp * tgt\_alpha2: cpp * prefer\_old: False * long\_pair: cpp-cpp * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cpp-cpp\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: cpp-cpp\n* model: transformer\n* source language(s): ind pap\n* target language(s): ind pap\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: 0.7, chr-F: 0.149\ntestset: URL, BLEU: 31.7, chr-F: 0.577\ntestset: URL, BLEU: 21.1, chr-F: 0.369\ntestset: URL, BLEU: 17.7, chr-F: 0.197", "### System Info:\n\n\n* hf\\_name: cpp-cpp\n* source\\_languages: cpp\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: cpp\n* short\\_pair: cpp-cpp\n* chrF2\\_score: 0.369\n* bleu: 21.1\n* brevity\\_penalty: 0.882\n* ref\\_len: 18.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-07-26\n* src\\_alpha2: cpp\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: cpp-cpp\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 #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpp-cpp\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: cpp-cpp\n* model: transformer\n* source language(s): ind pap\n* target language(s): ind pap\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: 0.7, chr-F: 0.149\ntestset: URL, BLEU: 31.7, chr-F: 0.577\ntestset: URL, BLEU: 21.1, chr-F: 0.369\ntestset: URL, BLEU: 17.7, chr-F: 0.197", "### System Info:\n\n\n* hf\\_name: cpp-cpp\n* source\\_languages: cpp\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: cpp\n* tgt\\_alpha3: cpp\n* short\\_pair: cpp-cpp\n* chrF2\\_score: 0.369\n* bleu: 21.1\n* brevity\\_penalty: 0.882\n* ref\\_len: 18.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-07-26\n* src\\_alpha2: cpp\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: cpp-cpp\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 62, 223, 519 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cpp-cpp\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: cpp-cpp\n* model: transformer\n* source language(s): ind pap\n* target language(s): ind pap\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: 0.7, chr-F: 0.149\ntestset: URL, BLEU: 31.7, chr-F: 0.577\ntestset: URL, BLEU: 21.1, chr-F: 0.369\ntestset: URL, BLEU: 17.7, chr-F: 0.197" ]	[ -0.13191768527030945, 0.15158623456954956, -0.007711817044764757, 0.037963446229696274, 0.005973512306809425, 0.02428448013961315, 0.03625863045454025, 0.1319921910762787, -0.013900226913392544, 0.07494086772203445, 0.11981409788131714, 0.06143169850111008, 0.04289546236395836, 0.0811154693365097, -0.012535355053842068, -0.07658140361309052, 0.021083751693367958, 0.0652715414762497, -0.03389604389667511, 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null	null	transformers	### cpp-eng * source group: Creoles and pidgins, Portuguese-based * target group: English * OPUS readme: [cpp-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md) * model: transformer * source language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.msa-eng.msa.eng \| 39.6 \| 0.580 \| \| Tatoeba-test.multi.eng \| 39.7 \| 0.580 \| \| Tatoeba-test.pap-eng.pap.eng \| 49.1 \| 0.579 \| ### System Info: - hf_name: cpp-eng - source_languages: cpp - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp', 'en'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpp - tgt_alpha3: eng - short_pair: cpp-en - chrF2_score: 0.58 - bleu: 39.7 - brevity_penalty: 0.972 - ref_len: 37399.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpp - tgt_alpha2: en - prefer_old: False - long_pair: cpp-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["id", "cpp", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cpp-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "id", "cpp", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #cpp #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cpp-eng * source group: Creoles and pidgins, Portuguese-based * target group: English * OPUS readme: cpp-eng * model: transformer * source language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 39.6, chr-F: 0.580 testset: URL, BLEU: 39.7, chr-F: 0.580 testset: URL, BLEU: 49.1, chr-F: 0.579 ### System Info: * hf\_name: cpp-eng * source\_languages: cpp * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['id', 'cpp', 'en'] * src\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cpp * tgt\_alpha3: eng * short\_pair: cpp-en * chrF2\_score: 0.58 * bleu: 39.7 * brevity\_penalty: 0.972 * ref\_len: 37399.0 * src\_name: Creoles and pidgins, Portuguese-based * tgt\_name: English * train\_date: 2020-07-31 * src\_alpha2: cpp * tgt\_alpha2: en * prefer\_old: False * long\_pair: cpp-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cpp-eng\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: English\n* OPUS readme: cpp-eng\n* model: transformer\n* source language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.580\ntestset: URL, BLEU: 39.7, chr-F: 0.580\ntestset: URL, BLEU: 49.1, chr-F: 0.579", "### System Info:\n\n\n* hf\\_name: cpp-eng\n* source\\_languages: cpp\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp', 'en']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\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: cpp\n* tgt\\_alpha3: eng\n* short\\_pair: cpp-en\n* chrF2\\_score: 0.58\n* bleu: 39.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 37399.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpp\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpp-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 #id #cpp #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cpp-eng\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: English\n* OPUS readme: cpp-eng\n* model: transformer\n* source language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.580\ntestset: URL, BLEU: 39.7, chr-F: 0.580\ntestset: URL, BLEU: 49.1, chr-F: 0.579", "### System Info:\n\n\n* hf\\_name: cpp-eng\n* source\\_languages: cpp\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['id', 'cpp', 'en']\n* src\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\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: cpp\n* tgt\\_alpha3: eng\n* short\\_pair: cpp-en\n* chrF2\\_score: 0.58\n* bleu: 39.7\n* brevity\\_penalty: 0.972\n* ref\\_len: 37399.0\n* src\\_name: Creoles and pidgins, Portuguese-based\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: cpp\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cpp-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 64, 195, 460 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #cpp #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cpp-eng\n\n\n* source group: Creoles and pidgins, Portuguese-based\n* target group: English\n* OPUS readme: cpp-eng\n* model: transformer\n* source language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.580\ntestset: URL, BLEU: 39.7, chr-F: 0.580\ntestset: URL, BLEU: 49.1, chr-F: 0.579" ]	[ -0.14855249226093292, 0.08127851039171219, -0.005882761906832457, 0.055756088346242905, 0.015965495258569717, 0.02114211954176426, 0.039801109582185745, 0.1319359987974167, -0.027326470240950584, 0.056568246334791183, 0.10856613516807556, 0.07798751443624496, 0.03889435902237892, 0.07358240336179733, -0.046716298907995224, -0.10700120031833649, 0.016022857278585434, 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null	null	transformers	### opus-mt-crs-de * source languages: crs * target languages: de * OPUS readme: [crs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.de \| 20.4 \| 0.397 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-de * source languages: crs * target languages: de * OPUS readme: crs-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: 20.4, chr-F: 0.397	[ "### opus-mt-crs-de\n\n\n* source languages: crs\n* target languages: de\n* OPUS readme: crs-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: 20.4, chr-F: 0.397" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-de\n\n\n* source languages: crs\n* target languages: de\n* OPUS readme: crs-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: 20.4, chr-F: 0.397" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-de\n\n\n* source languages: crs\n* target languages: de\n* OPUS readme: crs-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: 20.4, chr-F: 0.397" ]	[ -0.1259782761335373, 0.11805881559848785, -0.0031344329472631216, 0.06787370145320892, 0.05307372286915779, 0.008300070650875568, 0.03733944147825241, 0.1393822431564331, 0.01656038500368595, 0.0226775873452425, 0.14881305396556854, 0.14140312373638153, 0.014382142573595047, 0.08754377067089081, -0.08848896622657776, -0.15971900522708893, 0.05953676253557205, 0.041362464427948, -0.00788897555321455, 0.1561349630355835, 0.10255280137062073, -0.024976318702101707, 0.10640311241149902, -0.037553317844867706, -0.04110118746757507, 0.04646015912294388, 0.0020513380877673626, -0.06931094825267792, 0.06017858162522316, 0.05538153648376465, 0.06703750789165497, 0.10689087212085724, 0.002307012677192688, -0.18960067629814148, 0.021244138479232788, 0.007589401211589575, -0.05198295786976814, 0.03358139842748642, 0.016548415645956993, -0.08383022248744965, 0.12236825376749039, -0.0602443628013134, 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null	null	transformers	### opus-mt-crs-en * source languages: crs * target languages: en * OPUS readme: [crs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.en \| 42.9 \| 0.589 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-en * source languages: crs * target languages: en * OPUS readme: crs-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: 42.9, chr-F: 0.589	[ "### opus-mt-crs-en\n\n\n* source languages: crs\n* target languages: en\n* OPUS readme: crs-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: 42.9, chr-F: 0.589" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-en\n\n\n* source languages: crs\n* target languages: en\n* OPUS readme: crs-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: 42.9, chr-F: 0.589" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-en\n\n\n* source languages: crs\n* target languages: en\n* OPUS readme: crs-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: 42.9, chr-F: 0.589" ]	[ -0.12734225392341614, 0.11642599105834961, -0.0031801823060959578, 0.07262788712978363, 0.05387897789478302, 0.007402752060443163, 0.02858647145330906, 0.1407349705696106, 0.017260629683732986, 0.023861270397901535, 0.14549022912979126, 0.13656066358089447, 0.010535160079598427, 0.07962819188833237, -0.09231448173522949, -0.15897375345230103, 0.057358358055353165, 0.03752405196428299, -0.00398882944136858, 0.15703287720680237, 0.09963171184062958, -0.028142716735601425, 0.1040852889418602, -0.03738712519407272, -0.04012707248330116, 0.04192746803164482, 0.002469015307724476, -0.0675177350640297, 0.05591867119073868, 0.05778735876083374, 0.06886054575443268, 0.10374555736780167, 0.0074309916235506535, -0.19112685322761536, 0.02332044020295143, 0.004196627531200647, -0.04890546202659607, 0.037752117961645126, 0.019320882856845856, -0.08120692521333694, 0.10495681315660477, -0.056304145604372025, 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null	null	transformers	### opus-mt-crs-es * source languages: crs * target languages: es * OPUS readme: [crs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.es \| 26.1 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-es * source languages: crs * target languages: es * OPUS readme: crs-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.1, chr-F: 0.445	[ "### opus-mt-crs-es\n\n\n* source languages: crs\n* target languages: es\n* OPUS readme: crs-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-es\n\n\n* source languages: crs\n* target languages: es\n* OPUS readme: crs-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.445" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-es\n\n\n* source languages: crs\n* target languages: es\n* OPUS readme: crs-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-crs-fi * source languages: crs * target languages: fi * OPUS readme: [crs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.fi \| 25.6 \| 0.479 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-fi * source languages: crs * target languages: fi * OPUS readme: crs-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: 25.6, chr-F: 0.479	[ "### opus-mt-crs-fi\n\n\n* source languages: crs\n* target languages: fi\n* OPUS readme: crs-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: 25.6, chr-F: 0.479" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-fi\n\n\n* source languages: crs\n* target languages: fi\n* OPUS readme: crs-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: 25.6, chr-F: 0.479" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-fi\n\n\n* source languages: crs\n* target languages: fi\n* OPUS readme: crs-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: 25.6, chr-F: 0.479" ]	[ -0.1376490592956543, 0.10701341927051544, -0.0032266981434077024, 0.07046348601579666, 0.054016757756471634, 0.004585570655763149, 0.030712632462382317, 0.13914333283901215, 0.03065614216029644, 0.02837325632572174, 0.1365993469953537, 0.11912398785352707, 0.028575202450156212, 0.10716024041175842, -0.10227016359567642, -0.14020060002803802, 0.06276508420705795, 0.040549907833337784, -0.012605677358806133, 0.1524006575345993, 0.10053786635398865, -0.01928243786096573, 0.10764460265636444, -0.037741076201200485, -0.06431521475315094, 0.04107138514518738, 0.008136666379868984, -0.058879952877759933, 0.05526955798268318, 0.07985725998878479, 0.06898505985736847, 0.09251389652490616, -0.005238023120909929, -0.1912255585193634, 0.024709785357117653, 0.007366503588855267, -0.045136984437704086, 0.03383582457900047, 0.029140613973140717, -0.06704196333885193, 0.1124032586812973, -0.02538909763097763, 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null	null	transformers	### opus-mt-crs-fr * source languages: crs * target languages: fr * OPUS readme: [crs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.fr \| 29.4 \| 0.475 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-fr * source languages: crs * target languages: fr * OPUS readme: crs-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: 29.4, chr-F: 0.475	[ "### opus-mt-crs-fr\n\n\n* source languages: crs\n* target languages: fr\n* OPUS readme: crs-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: 29.4, chr-F: 0.475" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-fr\n\n\n* source languages: crs\n* target languages: fr\n* OPUS readme: crs-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: 29.4, chr-F: 0.475" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-fr\n\n\n* source languages: crs\n* target languages: fr\n* OPUS readme: crs-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: 29.4, chr-F: 0.475" ]	[ -0.13206999003887177, 0.09852319210767746, -0.0032046374399214983, 0.07678919285535812, 0.05520778149366379, 0.004987442400306463, 0.01647433638572693, 0.13624770939350128, 0.027317244559526443, 0.027701327577233315, 0.1463199108839035, 0.1180301159620285, 0.01450838427990675, 0.08493030816316605, -0.10034413635730743, -0.14574553072452545, 0.054089609533548355, 0.04170956090092659, -0.029232801869511604, 0.1541077196598053, 0.09779383987188339, -0.02212122268974781, 0.11246009916067123, -0.02997271902859211, -0.053313225507736206, 0.046122174710035324, 0.005263633094727993, -0.059786368161439896, 0.05247277393937111, 0.07193281501531601, 0.06132414937019348, 0.10090354830026627, 0.002245148178189993, -0.18914280831813812, 0.023539407178759575, 0.0036266951356083155, -0.052533019334077835, 0.03449062258005142, 0.023020584136247635, -0.08197758346796036, 0.12988632917404175, -0.04098795726895332, 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null	null	transformers	### opus-mt-crs-sv * source languages: crs * target languages: sv * OPUS readme: [crs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.crs.sv \| 29.3 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-crs-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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 #crs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-crs-sv * source languages: crs * target languages: sv * OPUS readme: crs-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: 29.3, chr-F: 0.480	[ "### opus-mt-crs-sv\n\n\n* source languages: crs\n* target languages: sv\n* OPUS readme: crs-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: 29.3, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-crs-sv\n\n\n* source languages: crs\n* target languages: sv\n* OPUS readme: crs-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: 29.3, chr-F: 0.480" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #crs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-crs-sv\n\n\n* source languages: crs\n* target languages: sv\n* OPUS readme: crs-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-cs-de * source languages: cs * target languages: de * OPUS readme: [cs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.cs.de \| 22.0 \| 0.525 \| \| news-test2008.cs.de \| 21.1 \| 0.520 \| \| newstest2009.cs.de \| 22.2 \| 0.525 \| \| newstest2010.cs.de \| 22.1 \| 0.527 \| \| newstest2011.cs.de \| 21.6 \| 0.515 \| \| newstest2012.cs.de \| 22.2 \| 0.516 \| \| newstest2013.cs.de \| 24.8 \| 0.538 \| \| newstest2019-csde.cs.de \| 23.6 \| 0.530 \| \| Tatoeba.cs.de \| 51.6 \| 0.687 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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 #cs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cs-de * source languages: cs * target languages: de * OPUS readme: cs-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: 22.0, chr-F: 0.525 testset: URL, BLEU: 21.1, chr-F: 0.520 testset: URL, BLEU: 22.2, chr-F: 0.525 testset: URL, BLEU: 22.1, chr-F: 0.527 testset: URL, BLEU: 21.6, chr-F: 0.515 testset: URL, BLEU: 22.2, chr-F: 0.516 testset: URL, BLEU: 24.8, chr-F: 0.538 testset: URL, BLEU: 23.6, chr-F: 0.530 testset: URL, BLEU: 51.6, chr-F: 0.687	[ "### opus-mt-cs-de\n\n\n* source languages: cs\n* target languages: de\n* OPUS readme: cs-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: 22.0, chr-F: 0.525\ntestset: URL, BLEU: 21.1, chr-F: 0.520\ntestset: URL, BLEU: 22.2, chr-F: 0.525\ntestset: URL, BLEU: 22.1, chr-F: 0.527\ntestset: URL, BLEU: 21.6, chr-F: 0.515\ntestset: URL, BLEU: 22.2, chr-F: 0.516\ntestset: URL, BLEU: 24.8, chr-F: 0.538\ntestset: URL, BLEU: 23.6, chr-F: 0.530\ntestset: URL, BLEU: 51.6, chr-F: 0.687" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-de\n\n\n* source languages: cs\n* target languages: de\n* OPUS readme: cs-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: 22.0, chr-F: 0.525\ntestset: URL, BLEU: 21.1, chr-F: 0.520\ntestset: URL, BLEU: 22.2, chr-F: 0.525\ntestset: URL, BLEU: 22.1, chr-F: 0.527\ntestset: URL, BLEU: 21.6, chr-F: 0.515\ntestset: URL, BLEU: 22.2, chr-F: 0.516\ntestset: URL, BLEU: 24.8, chr-F: 0.538\ntestset: URL, BLEU: 23.6, chr-F: 0.530\ntestset: URL, BLEU: 51.6, chr-F: 0.687" ]	[ 61, 236 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cs-de\n\n\n* source languages: cs\n* target languages: de\n* OPUS readme: cs-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: 22.0, chr-F: 0.525\ntestset: URL, BLEU: 21.1, chr-F: 0.520\ntestset: URL, BLEU: 22.2, chr-F: 0.525\ntestset: URL, BLEU: 22.1, chr-F: 0.527\ntestset: URL, BLEU: 21.6, chr-F: 0.515\ntestset: URL, BLEU: 22.2, chr-F: 0.516\ntestset: URL, BLEU: 24.8, chr-F: 0.538\ntestset: URL, BLEU: 23.6, chr-F: 0.530\ntestset: URL, BLEU: 51.6, chr-F: 0.687" ]	[ -0.17138247191905975, 0.17363810539245605, -0.007745871786028147, 0.042745284736156464, 0.003602771321311593, 0.04791640490293503, 0.09595835208892822, 0.13985107839107513, 0.053409647196531296, 0.11495407670736313, 0.13249202072620392, 0.07396791875362396, 0.022207757458090782, 0.16670121252536774, -0.05825571343302727, -0.011293376795947552, 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null	null	transformers	### opus-mt-cs-en * source languages: cs * target languages: en * OPUS readme: [cs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2014-csen.cs.en \| 34.1 \| 0.612 \| \| newstest2015-encs.cs.en \| 30.4 \| 0.565 \| \| newstest2016-encs.cs.en \| 31.8 \| 0.584 \| \| newstest2017-encs.cs.en \| 28.7 \| 0.556 \| \| newstest2018-encs.cs.en \| 30.3 \| 0.566 \| \| Tatoeba.cs.en \| 58.0 \| 0.721 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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 #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cs-en * source languages: cs * target languages: en * OPUS readme: cs-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.1, chr-F: 0.612 testset: URL, BLEU: 30.4, chr-F: 0.565 testset: URL, BLEU: 31.8, chr-F: 0.584 testset: URL, BLEU: 28.7, chr-F: 0.556 testset: URL, BLEU: 30.3, chr-F: 0.566 testset: URL, BLEU: 58.0, chr-F: 0.721	[ "### opus-mt-cs-en\n\n\n* source languages: cs\n* target languages: en\n* OPUS readme: cs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.612\ntestset: URL, BLEU: 30.4, chr-F: 0.565\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.7, chr-F: 0.556\ntestset: URL, BLEU: 30.3, chr-F: 0.566\ntestset: URL, BLEU: 58.0, chr-F: 0.721" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-en\n\n\n* source languages: cs\n* target languages: en\n* OPUS readme: cs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.612\ntestset: URL, BLEU: 30.4, chr-F: 0.565\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.7, chr-F: 0.556\ntestset: URL, BLEU: 30.3, chr-F: 0.566\ntestset: URL, BLEU: 58.0, chr-F: 0.721" ]	[ 61, 188 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cs-en\n\n\n* source languages: cs\n* target languages: en\n* OPUS readme: cs-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.1, chr-F: 0.612\ntestset: URL, BLEU: 30.4, chr-F: 0.565\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.7, chr-F: 0.556\ntestset: URL, BLEU: 30.3, chr-F: 0.566\ntestset: URL, BLEU: 58.0, chr-F: 0.721" ]	[ -0.17703239619731903, 0.13565702736377716, -0.0062321689911186695, 0.054235320538282394, 0.002416745526716113, 0.03632871434092522, 0.08675310760736465, 0.14267027378082275, 0.038106225430965424, 0.07310405373573303, 0.1489061862230301, 0.06913750618696213, 0.0064439005218446255, 0.15726715326309204, -0.0663805902004242, -0.022183170542120934, -0.01753031648695469, 0.07368402928113937, -0.07917920500040054, 0.157635897397995, 0.06486667692661285, -0.0353342667222023, 0.06498116999864578, -0.07570817321538925, -0.03904934599995613, 0.0656626969575882, 0.03189745917916298, -0.02712704800069332, 0.04967610910534859, 0.06353604048490524, 0.051599908620119095, 0.09710327535867691, -0.006147474981844425, -0.23032185435295105, 0.008494864217936993, -0.01554920431226492, -0.03824438899755478, 0.013768376782536507, 0.005815716460347176, -0.064353808760643, 0.0907483696937561, -0.05434490367770195, -0.0028989838901907206, 0.04475891590118408, 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null	null	transformers	### ces-epo * source group: Czech * target group: Esperanto * OPUS readme: [ces-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md) * model: transformer-align * source language(s): ces * 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/ces-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ces.epo \| 26.0 \| 0.459 \| ### System Info: - hf_name: ces-epo - source_languages: ces - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['cs', 'eo'] - src_constituents: {'ces'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt - src_alpha3: ces - tgt_alpha3: epo - short_pair: cs-eo - chrF2_score: 0.45899999999999996 - bleu: 26.0 - brevity_penalty: 0.94 - ref_len: 24901.0 - src_name: Czech - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: cs - tgt_alpha2: eo - prefer_old: False - long_pair: ces-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["cs", "eo"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "cs", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #cs #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ces-epo * source group: Czech * target group: Esperanto * OPUS readme: ces-epo * model: transformer-align * source language(s): ces * 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: 26.0, chr-F: 0.459 ### System Info: * hf\_name: ces-epo * source\_languages: ces * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['cs', 'eo'] * src\_constituents: {'ces'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ces * tgt\_alpha3: epo * short\_pair: cs-eo * chrF2\_score: 0.45899999999999996 * bleu: 26.0 * brevity\_penalty: 0.94 * ref\_len: 24901.0 * src\_name: Czech * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: cs * tgt\_alpha2: eo * prefer\_old: False * long\_pair: ces-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ces-epo\n\n\n* source group: Czech\n* target group: Esperanto\n* OPUS readme: ces-epo\n* model: transformer-align\n* source language(s): ces\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: 26.0, chr-F: 0.459", "### System Info:\n\n\n* hf\\_name: ces-epo\n* source\\_languages: ces\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'eo']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: epo\n* short\\_pair: cs-eo\n* chrF2\\_score: 0.45899999999999996\n* bleu: 26.0\n* brevity\\_penalty: 0.94\n* ref\\_len: 24901.0\n* src\\_name: Czech\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: cs\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ces-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 #cs #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ces-epo\n\n\n* source group: Czech\n* target group: Esperanto\n* OPUS readme: ces-epo\n* model: transformer-align\n* source language(s): ces\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: 26.0, chr-F: 0.459", "### System Info:\n\n\n* hf\\_name: ces-epo\n* source\\_languages: ces\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'eo']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: epo\n* short\\_pair: cs-eo\n* chrF2\\_score: 0.45899999999999996\n* bleu: 26.0\n* brevity\\_penalty: 0.94\n* ref\\_len: 24901.0\n* src\\_name: Czech\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: cs\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ces-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 398 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ces-epo\n\n\n* source group: Czech\n* target group: Esperanto\n* OPUS readme: ces-epo\n* model: transformer-align\n* source language(s): ces\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: 26.0, chr-F: 0.459" ]	[ -0.1173514574766159, 0.09432671219110489, -0.004060490056872368, 0.043233390897512436, 0.11058720201253891, 0.023638440296053886, 0.08321406692266464, 0.12038324028253555, 0.02799215167760849, 0.040708497166633606, 0.13029251992702484, 0.1336025446653366, 0.02795291692018509, 0.17460760474205017, -0.03802919760346413, -0.21084769070148468, 0.08709380775690079, 0.07427537441253662, -0.07012099772691727, 0.10080529004335403, 0.10493113845586777, -0.04453699290752411, 0.09783864766359329, 0.01619056984782219, -0.027904195711016655, 0.09396283328533173, 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null	null	transformers	### opus-mt-cs-fi * source languages: cs * target languages: fi * OPUS readme: [cs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.cs.fi \| 25.5 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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 #cs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cs-fi * source languages: cs * target languages: fi * OPUS readme: cs-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: 25.5, chr-F: 0.523	[ "### opus-mt-cs-fi\n\n\n* source languages: cs\n* target languages: fi\n* OPUS readme: cs-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: 25.5, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-fi\n\n\n* source languages: cs\n* target languages: fi\n* OPUS readme: cs-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: 25.5, chr-F: 0.523" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cs-fi\n\n\n* source languages: cs\n* target languages: fi\n* OPUS readme: cs-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-cs-fr * source languages: cs * target languages: fr * OPUS readme: [cs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.cs.fr \| 21.0 \| 0.488 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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 #cs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cs-fr * source languages: cs * target languages: fr * OPUS readme: cs-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: 21.0, chr-F: 0.488	[ "### opus-mt-cs-fr\n\n\n* source languages: cs\n* target languages: fr\n* OPUS readme: cs-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: 21.0, chr-F: 0.488" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-fr\n\n\n* source languages: cs\n* target languages: fr\n* OPUS readme: cs-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: 21.0, chr-F: 0.488" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cs-fr\n\n\n* source languages: cs\n* target languages: fr\n* OPUS readme: cs-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-cs-sv * source languages: cs * target languages: sv * OPUS readme: [cs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.cs.sv \| 30.6 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-sv	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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 #cs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cs-sv * source languages: cs * target languages: sv * OPUS readme: cs-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: 30.6, chr-F: 0.527	[ "### opus-mt-cs-sv\n\n\n* source languages: cs\n* target languages: sv\n* OPUS readme: cs-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: 30.6, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cs-sv\n\n\n* source languages: cs\n* target languages: sv\n* OPUS readme: cs-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: 30.6, chr-F: 0.527" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cs #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cs-sv\n\n\n* source languages: cs\n* target languages: sv\n* OPUS readme: cs-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	### ces-ukr * source group: Czech * target group: Ukrainian * OPUS readme: [ces-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md) * model: transformer-align * source language(s): ces * 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/ces-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ces.ukr \| 50.9 \| 0.680 \| ### System Info: - hf_name: ces-ukr - source_languages: ces - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['cs', 'uk'] - src_constituents: {'ces'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt - src_alpha3: ces - tgt_alpha3: ukr - short_pair: cs-uk - chrF2_score: 0.68 - bleu: 50.9 - brevity_penalty: 0.9940000000000001 - ref_len: 8891.0 - src_name: Czech - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: cs - tgt_alpha2: uk - prefer_old: False - long_pair: ces-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["cs", "uk"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cs-uk	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "cs", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #cs #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ces-ukr * source group: Czech * target group: Ukrainian * OPUS readme: ces-ukr * model: transformer-align * source language(s): ces * 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: 50.9, chr-F: 0.680 ### System Info: * hf\_name: ces-ukr * source\_languages: ces * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['cs', 'uk'] * src\_constituents: {'ces'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ces * tgt\_alpha3: ukr * short\_pair: cs-uk * chrF2\_score: 0.68 * bleu: 50.9 * brevity\_penalty: 0.9940000000000001 * ref\_len: 8891.0 * src\_name: Czech * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: cs * tgt\_alpha2: uk * prefer\_old: False * long\_pair: ces-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ces-ukr\n\n\n* source group: Czech\n* target group: Ukrainian\n* OPUS readme: ces-ukr\n* model: transformer-align\n* source language(s): ces\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: 50.9, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: ces-ukr\n* source\\_languages: ces\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'uk']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: ukr\n* short\\_pair: cs-uk\n* chrF2\\_score: 0.68\n* bleu: 50.9\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 8891.0\n* src\\_name: Czech\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: cs\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ces-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 #cs #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ces-ukr\n\n\n* source group: Czech\n* target group: Ukrainian\n* OPUS readme: ces-ukr\n* model: transformer-align\n* source language(s): ces\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: 50.9, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: ces-ukr\n* source\\_languages: ces\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['cs', 'uk']\n* src\\_constituents: {'ces'}\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: ces\n* tgt\\_alpha3: ukr\n* short\\_pair: cs-uk\n* chrF2\\_score: 0.68\n* bleu: 50.9\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 8891.0\n* src\\_name: Czech\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: cs\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: ces-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 #cs #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ces-ukr\n\n\n* source group: Czech\n* target group: Ukrainian\n* OPUS readme: ces-ukr\n* model: transformer-align\n* source language(s): ces\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: 50.9, chr-F: 0.680" ]	[ -0.11799024045467377, 0.04057181254029274, -0.00310303783044219, 0.02824399620294571, 0.11251659691333771, 0.03655426576733589, 0.10890812426805496, 0.11357385665178299, 0.049757588654756546, 0.04549485072493553, 0.1314627230167389, 0.08886437863111496, 0.008650987409055233, 0.11219801753759384, 0.0006989199318923056, -0.1830454021692276, 0.10607711225748062, 0.03651716932654381, -0.10132267326116562, 0.1169414296746254, 0.10204407572746277, -0.05098152160644531, 0.08650052547454834, -0.018491052091121674, -0.05315336957573891, 0.0708283856511116, 0.00571174593642354, 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null	null	transformers	### opus-mt-csg-es * source languages: csg * target languages: es * OPUS readme: [csg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csg-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.csg.es \| 93.1 \| 0.952 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-csg-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csg", "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 #csg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-csg-es * source languages: csg * target languages: es * OPUS readme: csg-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: 93.1, chr-F: 0.952	[ "### opus-mt-csg-es\n\n\n* source languages: csg\n* target languages: es\n* OPUS readme: csg-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: 93.1, chr-F: 0.952" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-csg-es\n\n\n* source languages: csg\n* target languages: es\n* OPUS readme: csg-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: 93.1, chr-F: 0.952" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csg #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-csg-es\n\n\n* source languages: csg\n* target languages: es\n* OPUS readme: csg-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-csn-es * source languages: csn * target languages: es * OPUS readme: [csn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csn-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.csn.es \| 87.4 \| 0.899 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-csn-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csn", "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 #csn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-csn-es * source languages: csn * target languages: es * OPUS readme: csn-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: 87.4, chr-F: 0.899	[ "### opus-mt-csn-es\n\n\n* source languages: csn\n* target languages: es\n* OPUS readme: csn-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: 87.4, chr-F: 0.899" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-csn-es\n\n\n* source languages: csn\n* target languages: es\n* OPUS readme: csn-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: 87.4, chr-F: 0.899" ]	[ 62, 104 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #csn #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-csn-es\n\n\n* source languages: csn\n* target languages: es\n* OPUS readme: csn-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: 87.4, chr-F: 0.899" ]	[ -0.13570934534072876, 0.1373804211616516, -0.003512715920805931, 0.06707087904214859, 0.06788241118192673, 0.008852578699588776, 0.0538119375705719, 0.13220635056495667, 0.013273615390062332, 0.018021268770098686, 0.13599421083927155, 0.11728969216346741, 0.019400300458073616, 0.13771219551563263, -0.06949915736913681, -0.12272767722606659, 0.06163032725453377, 0.057707954198122025, -0.04782804474234581, 0.14716805517673492, 0.0938277542591095, -0.029438896104693413, 0.10308946669101715, -0.03285761550068855, -0.025407498702406883, 0.049595657736063004, 0.003161045489832759, -0.07271157950162888, 0.05892835557460785, 0.058187782764434814, 0.05783970281481743, 0.08418259024620056, -0.0026497314684093, -0.2070799469947815, 0.014316721819341183, -0.005832282360643148, -0.04375806078314781, 0.023521678522229195, 0.02621583454310894, -0.07079067826271057, 0.12383643537759781, -0.04950258508324623, 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null	null	transformers	### cus-eng * source group: Cushitic languages * target group: English * OPUS readme: [cus-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md) * model: transformer * source language(s): som * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.multi.eng \| 16.2 \| 0.303 \| \| Tatoeba-test.som-eng.som.eng \| 16.2 \| 0.303 \| ### System Info: - hf_name: cus-eng - source_languages: cus - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['so', 'cus', 'en'] - src_constituents: {'som'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt - src_alpha3: cus - tgt_alpha3: eng - short_pair: cus-en - chrF2_score: 0.303 - bleu: 16.2 - brevity_penalty: 1.0 - ref_len: 3.0 - src_name: Cushitic languages - tgt_name: English - train_date: 2020-07-26 - src_alpha2: cus - tgt_alpha2: en - prefer_old: False - long_pair: cus-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["so", "cus", "en"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cus-en	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "so", "cus", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "so", "cus", "en" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #so #cus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### cus-eng * source group: Cushitic languages * target group: English * OPUS readme: cus-eng * model: transformer * source language(s): som * 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: 16.2, chr-F: 0.303 testset: URL, BLEU: 16.2, chr-F: 0.303 ### System Info: * hf\_name: cus-eng * source\_languages: cus * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['so', 'cus', 'en'] * src\_constituents: {'som'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: cus * tgt\_alpha3: eng * short\_pair: cus-en * chrF2\_score: 0.303 * bleu: 16.2 * brevity\_penalty: 1.0 * ref\_len: 3.0 * src\_name: Cushitic languages * tgt\_name: English * train\_date: 2020-07-26 * src\_alpha2: cus * tgt\_alpha2: en * prefer\_old: False * long\_pair: cus-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### cus-eng\n\n\n* source group: Cushitic languages\n* target group: English\n* OPUS readme: cus-eng\n* model: transformer\n* source language(s): som\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: 16.2, chr-F: 0.303\ntestset: URL, BLEU: 16.2, chr-F: 0.303", "### System Info:\n\n\n* hf\\_name: cus-eng\n* source\\_languages: cus\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['so', 'cus', 'en']\n* src\\_constituents: {'som'}\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: cus\n* tgt\\_alpha3: eng\n* short\\_pair: cus-en\n* chrF2\\_score: 0.303\n* bleu: 16.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: Cushitic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: cus\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cus-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 #safetensors #marian #text2text-generation #translation #so #cus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### cus-eng\n\n\n* source group: Cushitic languages\n* target group: English\n* OPUS readme: cus-eng\n* model: transformer\n* source language(s): som\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: 16.2, chr-F: 0.303\ntestset: URL, BLEU: 16.2, chr-F: 0.303", "### System Info:\n\n\n* hf\\_name: cus-eng\n* source\\_languages: cus\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['so', 'cus', 'en']\n* src\\_constituents: {'som'}\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: cus\n* tgt\\_alpha3: eng\n* short\\_pair: cus-en\n* chrF2\\_score: 0.303\n* bleu: 16.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: Cushitic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: cus\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: cus-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 68, 138, 396 ]	[ "passage: TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #so #cus #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### cus-eng\n\n\n* source group: Cushitic languages\n* target group: English\n* OPUS readme: cus-eng\n* model: transformer\n* source language(s): som\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: 16.2, chr-F: 0.303\ntestset: URL, BLEU: 16.2, chr-F: 0.303" ]	[ -0.14395280182361603, 0.08417239785194397, -0.003691958263516426, 0.060863614082336426, 0.098045215010643, -0.0009689845028333366, 0.10736514627933502, 0.10184885561466217, 0.023630714043974876, 0.05406825989484787, 0.09375818073749542, 0.06231507286429405, 0.03784257918596268, 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null	null	transformers	### opus-mt-cy-en * source languages: cy * target languages: en * OPUS readme: [cy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cy-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/cy-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.cy.en \| 33.0 \| 0.525 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-cy-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cy", "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 #cy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-cy-en * source languages: cy * target languages: en * OPUS readme: cy-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: 33.0, chr-F: 0.525	[ "### opus-mt-cy-en\n\n\n* source languages: cy\n* target languages: en\n* OPUS readme: cy-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: 33.0, chr-F: 0.525" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-cy-en\n\n\n* source languages: cy\n* target languages: en\n* OPUS readme: cy-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: 33.0, chr-F: 0.525" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #cy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-cy-en\n\n\n* source languages: cy\n* target languages: en\n* OPUS readme: cy-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-da-de * source languages: da * target languages: de * OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.da.de \| 57.4 \| 0.740 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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 #da #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-da-de * source languages: da * target languages: de * OPUS readme: da-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: 57.4, chr-F: 0.740	[ "### opus-mt-da-de\n\n\n* source languages: da\n* target languages: de\n* OPUS readme: da-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: 57.4, chr-F: 0.740" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-de\n\n\n* source languages: da\n* target languages: de\n* OPUS readme: da-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: 57.4, chr-F: 0.740" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-da-de\n\n\n* source languages: da\n* target languages: de\n* OPUS readme: da-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-da-en * source languages: da * target languages: en * OPUS readme: [da-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.da.en \| 63.6 \| 0.769 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-en	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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 #da #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-da-en * source languages: da * target languages: en * OPUS readme: da-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: 63.6, chr-F: 0.769	[ "### opus-mt-da-en\n\n\n* source languages: da\n* target languages: en\n* OPUS readme: da-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: 63.6, chr-F: 0.769" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-en\n\n\n* source languages: da\n* target languages: en\n* OPUS readme: da-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: 63.6, chr-F: 0.769" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-da-en\n\n\n* source languages: da\n* target languages: en\n* OPUS readme: da-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	### dan-epo * source group: Danish * target group: Esperanto * OPUS readme: [dan-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md) * model: transformer-align * source language(s): dan * 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/dan-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.dan.epo \| 23.6 \| 0.432 \| ### System Info: - hf_name: dan-epo - source_languages: dan - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'eo'] - src_constituents: {'dan'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt - src_alpha3: dan - tgt_alpha3: epo - short_pair: da-eo - chrF2_score: 0.43200000000000005 - bleu: 23.6 - brevity_penalty: 0.9420000000000001 - ref_len: 69856.0 - src_name: Danish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: da - tgt_alpha2: eo - prefer_old: False - long_pair: dan-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "eo"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "da", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### dan-epo * source group: Danish * target group: Esperanto * OPUS readme: dan-epo * model: transformer-align * source language(s): dan * 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: 23.6, chr-F: 0.432 ### System Info: * hf\_name: dan-epo * source\_languages: dan * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'eo'] * src\_constituents: {'dan'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: dan * tgt\_alpha3: epo * short\_pair: da-eo * chrF2\_score: 0.43200000000000005 * bleu: 23.6 * brevity\_penalty: 0.9420000000000001 * ref\_len: 69856.0 * src\_name: Danish * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: da * tgt\_alpha2: eo * prefer\_old: False * long\_pair: dan-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### dan-epo\n\n\n* source group: Danish\n* target group: Esperanto\n* OPUS readme: dan-epo\n* model: transformer-align\n* source language(s): dan\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: 23.6, chr-F: 0.432", "### System Info:\n\n\n* hf\\_name: dan-epo\n* source\\_languages: dan\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'eo']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: epo\n* short\\_pair: da-eo\n* chrF2\\_score: 0.43200000000000005\n* bleu: 23.6\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 69856.0\n* src\\_name: Danish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: da\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: dan-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 #da #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-epo\n\n\n* source group: Danish\n* target group: Esperanto\n* OPUS readme: dan-epo\n* model: transformer-align\n* source language(s): dan\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: 23.6, chr-F: 0.432", "### System Info:\n\n\n* hf\\_name: dan-epo\n* source\\_languages: dan\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'eo']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: epo\n* short\\_pair: da-eo\n* chrF2\\_score: 0.43200000000000005\n* bleu: 23.6\n* brevity\\_penalty: 0.9420000000000001\n* ref\\_len: 69856.0\n* src\\_name: Danish\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: da\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: dan-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 401 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### dan-epo\n\n\n* source group: Danish\n* target group: Esperanto\n* OPUS readme: dan-epo\n* model: transformer-align\n* source language(s): dan\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: 23.6, chr-F: 0.432" ]	[ -0.09807460755109787, 0.09061804413795471, -0.003671773010864854, 0.05016785115003586, 0.08188903331756592, 0.013372646644711494, 0.10185776650905609, 0.12602289021015167, 0.03576844185590744, 0.02238812856376171, 0.12064464390277863, 0.14012843370437622, 0.03832920268177986, 0.16886356472969055, -0.040314268320798874, -0.2409924864768982, 0.0783090740442276, 0.07521619647741318, -0.059266626834869385, 0.10209984332323074, 0.11539910733699799, -0.04021622613072395, 0.10746453702449799, 0.0011512365890666842, 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null	null	transformers	### opus-mt-da-es * source languages: da * target languages: es * OPUS readme: [da-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.da.es \| 53.7 \| 0.715 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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 #da #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-da-es * source languages: da * target languages: es * OPUS readme: da-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: 53.7, chr-F: 0.715	[ "### opus-mt-da-es\n\n\n* source languages: da\n* target languages: es\n* OPUS readme: da-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: 53.7, chr-F: 0.715" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-es\n\n\n* source languages: da\n* target languages: es\n* OPUS readme: da-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: 53.7, chr-F: 0.715" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-da-es\n\n\n* source languages: da\n* target languages: es\n* OPUS readme: da-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-da-fi * source languages: da * target languages: fi * OPUS readme: [da-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.da.fi \| 39.0 \| 0.629 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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 #da #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-da-fi * source languages: da * target languages: fi * OPUS readme: da-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: 39.0, chr-F: 0.629	[ "### opus-mt-da-fi\n\n\n* source languages: da\n* target languages: fi\n* OPUS readme: da-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: 39.0, chr-F: 0.629" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-fi\n\n\n* source languages: da\n* target languages: fi\n* OPUS readme: da-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: 39.0, chr-F: 0.629" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-da-fi\n\n\n* source languages: da\n* target languages: fi\n* OPUS readme: da-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-da-fr * source languages: da * target languages: fr * OPUS readme: [da-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.da.fr \| 62.2 \| 0.751 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-fr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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 #da #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-da-fr * source languages: da * target languages: fr * OPUS readme: da-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: 62.2, chr-F: 0.751	[ "### opus-mt-da-fr\n\n\n* source languages: da\n* target languages: fr\n* OPUS readme: da-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: 62.2, chr-F: 0.751" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-da-fr\n\n\n* source languages: da\n* target languages: fr\n* OPUS readme: da-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: 62.2, chr-F: 0.751" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-da-fr\n\n\n* source languages: da\n* target languages: fr\n* OPUS readme: da-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	### dan-nor * source group: Danish * target group: Norwegian * OPUS readme: [dan-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md) * model: transformer-align * source language(s): dan * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * 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/dan-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.dan.nor \| 66.4 \| 0.801 \| ### System Info: - hf_name: dan-nor - source_languages: dan - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'no'] - src_constituents: {'dan'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt - src_alpha3: dan - tgt_alpha3: nor - short_pair: da-no - chrF2_score: 0.8009999999999999 - bleu: 66.4 - brevity_penalty: 0.996 - ref_len: 9691.0 - src_name: Danish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: da - tgt_alpha2: no - prefer_old: False - long_pair: dan-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", false], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-no	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "da", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### dan-nor * source group: Danish * target group: Norwegian * OPUS readme: dan-nor * model: transformer-align * source language(s): dan * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * 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: 66.4, chr-F: 0.801 ### System Info: * hf\_name: dan-nor * source\_languages: dan * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'no'] * src\_constituents: {'dan'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: dan * tgt\_alpha3: nor * short\_pair: da-no * chrF2\_score: 0.8009999999999999 * bleu: 66.4 * brevity\_penalty: 0.996 * ref\_len: 9691.0 * src\_name: Danish * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: da * tgt\_alpha2: no * prefer\_old: False * long\_pair: dan-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### dan-nor\n\n\n* source group: Danish\n* target group: Norwegian\n* OPUS readme: dan-nor\n* model: transformer-align\n* source language(s): dan\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 66.4, chr-F: 0.801", "### System Info:\n\n\n* hf\\_name: dan-nor\n* source\\_languages: dan\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'no']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'nob', 'nno'}\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: dan\n* tgt\\_alpha3: nor\n* short\\_pair: da-no\n* chrF2\\_score: 0.8009999999999999\n* bleu: 66.4\n* brevity\\_penalty: 0.996\n* ref\\_len: 9691.0\n* src\\_name: Danish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: dan-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 #da #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-nor\n\n\n* source group: Danish\n* target group: Norwegian\n* OPUS readme: dan-nor\n* model: transformer-align\n* source language(s): dan\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 66.4, chr-F: 0.801", "### System Info:\n\n\n* hf\\_name: dan-nor\n* source\\_languages: dan\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'no']\n* src\\_constituents: {'dan'}\n* tgt\\_constituents: {'nob', 'nno'}\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: dan\n* tgt\\_alpha3: nor\n* short\\_pair: da-no\n* chrF2\\_score: 0.8009999999999999\n* bleu: 66.4\n* brevity\\_penalty: 0.996\n* ref\\_len: 9691.0\n* src\\_name: Danish\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: dan-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 151, 399 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### dan-nor\n\n\n* source group: Danish\n* target group: Norwegian\n* OPUS readme: dan-nor\n* model: transformer-align\n* source language(s): dan\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\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: 66.4, chr-F: 0.801" ]	[ 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null	null	transformers	### dan-rus * source group: Danish * target group: Russian * OPUS readme: [dan-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md) * model: transformer-align * source language(s): dan * 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/dan-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.dan.rus \| 52.5 \| 0.715 \| ### System Info: - hf_name: dan-rus - source_languages: dan - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'ru'] - src_constituents: {'dan'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt - src_alpha3: dan - tgt_alpha3: rus - short_pair: da-ru - chrF2_score: 0.715 - bleu: 52.5 - brevity_penalty: 0.991 - ref_len: 10480.0 - src_name: Danish - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: da - tgt_alpha2: ru - prefer_old: False - long_pair: dan-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "ru"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-da-ru	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "da", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### dan-rus * source group: Danish * target group: Russian * OPUS readme: dan-rus * model: transformer-align * source language(s): dan * 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: 52.5, chr-F: 0.715 ### System Info: * hf\_name: dan-rus * source\_languages: dan * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'ru'] * src\_constituents: {'dan'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: dan * tgt\_alpha3: rus * short\_pair: da-ru * chrF2\_score: 0.715 * bleu: 52.5 * brevity\_penalty: 0.991 * ref\_len: 10480.0 * src\_name: Danish * tgt\_name: Russian * train\_date: 2020-06-17 * src\_alpha2: da * tgt\_alpha2: ru * prefer\_old: False * long\_pair: dan-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### dan-rus\n\n\n* source group: Danish\n* target group: Russian\n* OPUS readme: dan-rus\n* model: transformer-align\n* source language(s): dan\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: 52.5, chr-F: 0.715", "### System Info:\n\n\n* hf\\_name: dan-rus\n* source\\_languages: dan\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'ru']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: rus\n* short\\_pair: da-ru\n* chrF2\\_score: 0.715\n* bleu: 52.5\n* brevity\\_penalty: 0.991\n* ref\\_len: 10480.0\n* src\\_name: Danish\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: dan-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 #da #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### dan-rus\n\n\n* source group: Danish\n* target group: Russian\n* OPUS readme: dan-rus\n* model: transformer-align\n* source language(s): dan\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: 52.5, chr-F: 0.715", "### System Info:\n\n\n* hf\\_name: dan-rus\n* source\\_languages: dan\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'ru']\n* src\\_constituents: {'dan'}\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: dan\n* tgt\\_alpha3: rus\n* short\\_pair: da-ru\n* chrF2\\_score: 0.715\n* bleu: 52.5\n* brevity\\_penalty: 0.991\n* ref\\_len: 10480.0\n* src\\_name: Danish\n* tgt\\_name: Russian\n* train\\_date: 2020-06-17\n* src\\_alpha2: da\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: dan-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 388 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### dan-rus\n\n\n* source group: Danish\n* target group: Russian\n* OPUS readme: dan-rus\n* model: transformer-align\n* source language(s): dan\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: 52.5, chr-F: 0.715" ]	[ -0.0921974927186966, 0.03707084804773331, -0.0028283235151320696, 0.044277213513851166, 0.08273804932832718, 0.01741291582584381, 0.13996969163417816, 0.10578904300928116, 0.04226936027407646, 0.012346053496003151, 0.12221709638834, 0.05783231556415558, 0.021710431203246117, 0.14368996024131775, -0.01441300380975008, -0.20265357196331024, 0.08616503328084946, 0.024497266858816147, -0.08323988318443298, 0.12086687982082367, 0.11234413087368011, -0.031056584790349007, 0.09227557480335236, -0.042765531688928604, -0.0168805830180645, 0.09156955778598785, 0.00535435089841485, -0.07727429270744324, 0.06273203343153, 0.059544727206230164, 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null	null	transformers	### opus-mt-de-ZH * source languages: de * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.de.zh \| 24.4 \| 0.335 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ZH	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "zh", "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 #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ZH * source languages: de * target languages: cmn,cn,yue,ze\_zh,zh\_cn,zh\_CN,zh\_HK,zh\_tw,zh\_TW,zh\_yue,zhs,zht,zh * OPUS readme: de-cmn+cn+yue+ze\_zh+zh\_cn+zh\_CN+zh\_HK+zh\_tw+zh\_TW+zh\_yue+zhs+zht+zh * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * 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: 24.4, chr-F: 0.335	[ "### opus-mt-de-ZH\n\n\n* source languages: de\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: de-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 24.4, chr-F: 0.335" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ZH\n\n\n* source languages: de\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: de-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 24.4, chr-F: 0.335" ]	[ 61, 226 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ZH\n\n\n* source languages: de\n* target languages: cmn,cn,yue,ze\\_zh,zh\\_cn,zh\\_CN,zh\\_HK,zh\\_tw,zh\\_TW,zh\\_yue,zhs,zht,zh\n* OPUS readme: de-cmn+cn+yue+ze\\_zh+zh\\_cn+zh\\_CN+zh\\_HK+zh\\_tw+zh\\_TW+zh\\_yue+zhs+zht+zh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 24.4, chr-F: 0.335" ]	[ -0.11269378662109375, -0.00134152895770967, -0.004577419254928827, -0.006327887997031212, 0.01567714475095272, 0.015122320502996445, 0.06635425984859467, 0.18892987072467804, 0.04471288621425629, 0.0560249388217926, 0.12230703234672546, 0.07334183156490326, 0.06402170658111572, 0.0707482248544693, -0.030898166820406914, -0.13425731658935547, 0.02406761795282364, 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null	null	transformers	### deu-afr * source group: German * target group: Afrikaans * OPUS readme: [deu-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md) * model: transformer-align * source language(s): deu * 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/deu-afr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.afr \| 51.3 \| 0.690 \| ### System Info: - hf_name: deu-afr - source_languages: deu - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'af'] - src_constituents: {'deu'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: afr - short_pair: de-af - chrF2_score: 0.69 - bleu: 51.3 - brevity_penalty: 1.0 - ref_len: 9507.0 - src_name: German - tgt_name: Afrikaans - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: af - prefer_old: False - long_pair: deu-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "af"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-af	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "af" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-afr * source group: German * target group: Afrikaans * OPUS readme: deu-afr * model: transformer-align * source language(s): deu * 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: 51.3, chr-F: 0.690 ### System Info: * hf\_name: deu-afr * source\_languages: deu * target\_languages: afr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'af'] * src\_constituents: {'deu'} * tgt\_constituents: {'afr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: afr * short\_pair: de-af * chrF2\_score: 0.69 * bleu: 51.3 * brevity\_penalty: 1.0 * ref\_len: 9507.0 * src\_name: German * tgt\_name: Afrikaans * train\_date: 2020-06-17 * src\_alpha2: de * tgt\_alpha2: af * prefer\_old: False * long\_pair: deu-afr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-afr\n\n\n* source group: German\n* target group: Afrikaans\n* OPUS readme: deu-afr\n* model: transformer-align\n* source language(s): deu\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: 51.3, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: deu-afr\n* source\\_languages: deu\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'af']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: afr\n* short\\_pair: de-af\n* chrF2\\_score: 0.69\n* bleu: 51.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 9507.0\n* src\\_name: German\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-afr\n\n\n* source group: German\n* target group: Afrikaans\n* OPUS readme: deu-afr\n* model: transformer-align\n* source language(s): deu\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: 51.3, chr-F: 0.690", "### System Info:\n\n\n* hf\\_name: deu-afr\n* source\\_languages: deu\n* target\\_languages: afr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'af']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: afr\n* short\\_pair: de-af\n* chrF2\\_score: 0.69\n* bleu: 51.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 9507.0\n* src\\_name: German\n* tgt\\_name: Afrikaans\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: af\n* prefer\\_old: False\n* long\\_pair: deu-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, 395 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-afr\n\n\n* source group: German\n* target group: Afrikaans\n* OPUS readme: deu-afr\n* model: transformer-align\n* source language(s): deu\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: 51.3, chr-F: 0.690" ]	[ -0.11212088167667389, 0.02775922790169716, -0.0018951165257021785, 0.07389901578426361, 0.09147077053785324, 0.017515556886792183, 0.0867743268609047, 0.09167125821113586, -0.004870562814176083, 0.00860582385212183, 0.09500571340322495, 0.07965829223394394, 0.04112284258008003, 0.136351078748703, -0.03575052320957184, -0.18297812342643738, 0.06678558140993118, 0.04983718320727348, -0.06184058636426926, 0.10761041939258575, 0.11067580431699753, -0.033162642270326614, 0.11354273557662964, -0.031213920563459396, -0.01972850039601326, 0.10871528834104538, -0.016938408836722374, -0.06421180814504623, 0.07552831619977951, 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null	null	transformers	### deu-ara * source group: German * target group: Arabic * OPUS readme: [deu-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md) * model: transformer-align * source language(s): deu * target language(s): afb apc ara ara_Latn arq arz * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.ara \| 19.7 \| 0.486 \| ### System Info: - hf_name: deu-ara - source_languages: deu - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ar'] - src_constituents: {'deu'} - 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/deu-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt - src_alpha3: deu - tgt_alpha3: ara - short_pair: de-ar - chrF2_score: 0.486 - bleu: 19.7 - brevity_penalty: 0.993 - ref_len: 6324.0 - src_name: German - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: de - tgt_alpha2: ar - prefer_old: False - long_pair: deu-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "ar"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ar	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-ara * source group: German * target group: Arabic * OPUS readme: deu-ara * model: transformer-align * source language(s): deu * target language(s): afb apc ara ara\_Latn arq arz * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 19.7, chr-F: 0.486 ### System Info: * hf\_name: deu-ara * source\_languages: deu * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'ar'] * src\_constituents: {'deu'} * 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: deu * tgt\_alpha3: ara * short\_pair: de-ar * chrF2\_score: 0.486 * bleu: 19.7 * brevity\_penalty: 0.993 * ref\_len: 6324.0 * src\_name: German * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: de * tgt\_alpha2: ar * prefer\_old: False * long\_pair: deu-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-ara\n\n\n* source group: German\n* target group: Arabic\n* OPUS readme: deu-ara\n* model: transformer-align\n* source language(s): deu\n* target language(s): afb apc ara ara\\_Latn arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 19.7, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: deu-ara\n* source\\_languages: deu\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ar']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: ara\n* short\\_pair: de-ar\n* chrF2\\_score: 0.486\n* bleu: 19.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 6324.0\n* src\\_name: German\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-ara\n\n\n* source group: German\n* target group: Arabic\n* OPUS readme: deu-ara\n* model: transformer-align\n* source language(s): deu\n* target language(s): afb apc ara ara\\_Latn arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 19.7, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: deu-ara\n* source\\_languages: deu\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ar']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: ara\n* short\\_pair: de-ar\n* chrF2\\_score: 0.486\n* bleu: 19.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 6324.0\n* src\\_name: German\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: deu-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 164, 442 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-ara\n\n\n* source group: German\n* target group: Arabic\n* OPUS readme: deu-ara\n* model: transformer-align\n* source language(s): deu\n* target language(s): afb apc ara ara\\_Latn arq arz\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 19.7, chr-F: 0.486" ]	[ -0.09732700139284134, 0.0023436108604073524, -0.00534399226307869, 0.02462616376578808, 0.04691363498568535, 0.004500712268054485, 0.11293677240610123, 0.0801980122923851, -0.03825385868549347, 0.013691768981516361, 0.14777521789073944, 0.053051676601171494, 0.06851755082607269, 0.14510005712509155, -0.04220268130302429, -0.10709326714277267, 0.023035792633891106, 0.024801908060908318, -0.008508930914103985, 0.10524045675992966, 0.12242230772972107, -0.005149246193468571, 0.10359407961368561, -0.055259380489587784, -0.002388693392276764, 0.10644412040710449, 0.015688981860876083, -0.06870938837528229, 0.0820818692445755, 0.10882788151502609, 0.02780952677130699, 0.05530460178852081, -0.005482815206050873, 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null	null	transformers	### opus-mt-de-ase * source languages: de * target languages: ase * OPUS readme: [de-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ase/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ase \| 30.4 \| 0.483 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ase	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ase", "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 #de #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ase * source languages: de * target languages: ase * OPUS readme: de-ase * 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: 0.483	[ "### opus-mt-de-ase\n\n\n* source languages: de\n* target languages: ase\n* OPUS readme: de-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.483" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ase\n\n\n* source languages: de\n* target languages: ase\n* OPUS readme: de-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.483" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ase\n\n\n* source languages: de\n* target languages: ase\n* OPUS readme: de-ase\n* dataset: 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-de-bcl * source languages: de * target languages: bcl * OPUS readme: [de-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.bcl \| 34.6 \| 0.563 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-bcl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bcl", "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 #de #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-bcl * source languages: de * target languages: bcl * OPUS readme: de-bcl * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.6, chr-F: 0.563	[ "### opus-mt-de-bcl\n\n\n* source languages: de\n* target languages: bcl\n* OPUS readme: de-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.563" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bcl\n\n\n* source languages: de\n* target languages: bcl\n* OPUS readme: de-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.563" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-bcl\n\n\n* source languages: de\n* target languages: bcl\n* OPUS readme: de-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.563" ]	[ -0.13026587665081024, 0.1317102164030075, -0.0038314845878630877, 0.07570089399814606, 0.0413389727473259, 0.004436179995536804, 0.07149093598127365, 0.1475251466035843, 0.025914831086993217, 0.008902487345039845, 0.12825696170330048, 0.1312137246131897, 0.009372182190418243, 0.15694288909435272, -0.09656475484371185, -0.11062438040971756, 0.04160427302122116, 0.06950750201940536, -0.007568643428385258, 0.15110011398792267, 0.08197379857301712, -0.027927273884415627, 0.09066417068243027, -0.04803875461220741, -0.04533686861395836, 0.07707083970308304, 0.009531376883387566, -0.05815707892179489, 0.05607916787266731, 0.0552021786570549, 0.03723153471946716, 0.06783413887023926, -0.03174223750829697, -0.22006051242351532, 0.014953486621379852, 0.0035271935630589724, -0.05070542171597481, 0.03349614143371582, 0.019290952011942863, -0.09309381246566772, 0.11959975957870483, -0.047984372824430466, 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null	null	transformers	### deu-bul * source group: German * target group: Bulgarian * OPUS readme: [deu-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md) * model: transformer * source language(s): deu * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.bul \| 50.7 \| 0.683 \| ### System Info: - hf_name: deu-bul - source_languages: deu - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'bg'] - src_constituents: {'deu'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt - src_alpha3: deu - tgt_alpha3: bul - short_pair: de-bg - chrF2_score: 0.6829999999999999 - bleu: 50.7 - brevity_penalty: 0.98 - ref_len: 2032.0 - src_name: German - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: de - tgt_alpha2: bg - prefer_old: False - long_pair: deu-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "bg"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-bg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-bul * source group: German * target group: Bulgarian * OPUS readme: deu-bul * model: transformer * source language(s): deu * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.7, chr-F: 0.683 ### System Info: * hf\_name: deu-bul * source\_languages: deu * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'bg'] * src\_constituents: {'deu'} * tgt\_constituents: {'bul', 'bul\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: bul * short\_pair: de-bg * chrF2\_score: 0.6829999999999999 * bleu: 50.7 * brevity\_penalty: 0.98 * ref\_len: 2032.0 * src\_name: German * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: de * tgt\_alpha2: bg * prefer\_old: False * long\_pair: deu-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-bul\n\n\n* source group: German\n* target group: Bulgarian\n* OPUS readme: deu-bul\n* model: transformer\n* source language(s): deu\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.7, chr-F: 0.683", "### System Info:\n\n\n* hf\\_name: deu-bul\n* source\\_languages: deu\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'bg']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: bul\n* short\\_pair: de-bg\n* chrF2\\_score: 0.6829999999999999\n* bleu: 50.7\n* brevity\\_penalty: 0.98\n* ref\\_len: 2032.0\n* src\\_name: German\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: deu-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-bul\n\n\n* source group: German\n* target group: Bulgarian\n* OPUS readme: deu-bul\n* model: transformer\n* source language(s): deu\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.7, chr-F: 0.683", "### System Info:\n\n\n* hf\\_name: deu-bul\n* source\\_languages: deu\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'bg']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: bul\n* short\\_pair: de-bg\n* chrF2\\_score: 0.6829999999999999\n* bleu: 50.7\n* brevity\\_penalty: 0.98\n* ref\\_len: 2032.0\n* src\\_name: German\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: de\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: deu-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 120, 408 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-bul\n\n\n* source group: German\n* target group: Bulgarian\n* OPUS readme: deu-bul\n* model: transformer\n* source language(s): deu\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.7, chr-F: 0.683" ]	[ -0.09681999683380127, 0.04523696005344391, -0.003009582869708538, 0.059223294258117676, 0.11332925409078598, 0.031058644875884056, 0.13426172733306885, 0.08211327344179153, 0.026130707934498787, 0.021923167631030083, 0.10518672317266464, 0.06351607292890549, 0.017640365287661552, 0.1326298713684082, -0.016546599566936493, -0.17999385297298431, 0.0693417340517044, 0.028615405783057213, -0.11027946323156357, 0.09018509089946747, 0.10242292284965515, -0.029530899599194527, 0.09873230755329132, -0.0621798075735569, 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null	null	transformers	### opus-mt-de-bi * source languages: de * target languages: bi * OPUS readme: [de-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.bi \| 25.7 \| 0.450 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-bi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bi", "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 #de #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-bi * source languages: de * target languages: bi * OPUS readme: de-bi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.7, chr-F: 0.450	[ "### opus-mt-de-bi\n\n\n* source languages: de\n* target languages: bi\n* OPUS readme: de-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.450" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bi\n\n\n* source languages: de\n* target languages: bi\n* OPUS readme: de-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.450" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-bi\n\n\n* source languages: de\n* target languages: bi\n* OPUS readme: de-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-bzs * source languages: de * target languages: bzs * OPUS readme: [de-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.bzs \| 21.0 \| 0.389 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-bzs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bzs", "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 #de #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-bzs * source languages: de * target languages: bzs * OPUS readme: de-bzs * 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: 21.0, chr-F: 0.389	[ "### opus-mt-de-bzs\n\n\n* source languages: de\n* target languages: bzs\n* OPUS readme: de-bzs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.0, chr-F: 0.389" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-bzs\n\n\n* source languages: de\n* target languages: bzs\n* OPUS readme: de-bzs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.0, chr-F: 0.389" ]	[ 63, 105 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-bzs\n\n\n* source languages: de\n* target languages: bzs\n* OPUS readme: de-bzs\n* dataset: 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	### deu-cat * source group: German * target group: Catalan * OPUS readme: [deu-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md) * model: transformer-align * source language(s): deu * 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/deu-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.cat \| 37.4 \| 0.582 \| ### System Info: - hf_name: deu-cat - source_languages: deu - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ca'] - src_constituents: {'deu'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt - src_alpha3: deu - tgt_alpha3: cat - short_pair: de-ca - chrF2_score: 0.5820000000000001 - bleu: 37.4 - brevity_penalty: 0.956 - ref_len: 5507.0 - src_name: German - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: de - tgt_alpha2: ca - prefer_old: False - long_pair: deu-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "ca"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ca	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-cat * source group: German * target group: Catalan * OPUS readme: deu-cat * model: transformer-align * source language(s): deu * 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: 37.4, chr-F: 0.582 ### System Info: * hf\_name: deu-cat * source\_languages: deu * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'ca'] * src\_constituents: {'deu'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: cat * short\_pair: de-ca * chrF2\_score: 0.5820000000000001 * bleu: 37.4 * brevity\_penalty: 0.956 * ref\_len: 5507.0 * src\_name: German * tgt\_name: Catalan * train\_date: 2020-06-16 * src\_alpha2: de * tgt\_alpha2: ca * prefer\_old: False * long\_pair: deu-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-cat\n\n\n* source group: German\n* target group: Catalan\n* OPUS readme: deu-cat\n* model: transformer-align\n* source language(s): deu\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: 37.4, chr-F: 0.582", "### System Info:\n\n\n* hf\\_name: deu-cat\n* source\\_languages: deu\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ca']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: cat\n* short\\_pair: de-ca\n* chrF2\\_score: 0.5820000000000001\n* bleu: 37.4\n* brevity\\_penalty: 0.956\n* ref\\_len: 5507.0\n* src\\_name: German\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-cat\n\n\n* source group: German\n* target group: Catalan\n* OPUS readme: deu-cat\n* model: transformer-align\n* source language(s): deu\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: 37.4, chr-F: 0.582", "### System Info:\n\n\n* hf\\_name: deu-cat\n* source\\_languages: deu\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ca']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: cat\n* short\\_pair: de-ca\n* chrF2\\_score: 0.5820000000000001\n* bleu: 37.4\n* brevity\\_penalty: 0.956\n* ref\\_len: 5507.0\n* src\\_name: German\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-cat\n\n\n* source group: German\n* target group: Catalan\n* OPUS readme: deu-cat\n* model: transformer-align\n* source language(s): deu\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: 37.4, chr-F: 0.582" ]	[ -0.12734457850456238, 0.11630989611148834, -0.0022665096912533045, 0.04356355965137482, 0.10251416265964508, 0.010905721224844456, 0.056448161602020264, 0.10938498377799988, 0.0460236519575119, 0.034734562039375305, 0.0997902974486351, 0.14555102586746216, 0.05809364095330238, 0.1023072823882103, -0.020351247861981392, -0.17576250433921814, 0.11214058101177216, 0.04918011650443077, -0.0460716150701046, 0.09940435737371445, 0.10757028311491013, -0.032686565071344376, 0.1105339452624321, -0.023413438349962234, -0.023018985986709595, 0.0890718549489975, 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null	null	transformers	### opus-mt-de-crs * source languages: de * target languages: crs * OPUS readme: [de-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.crs \| 24.1 \| 0.429 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-crs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "crs", "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 #de #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-crs * source languages: de * target languages: crs * OPUS readme: de-crs * 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: 0.429	[ "### opus-mt-de-crs\n\n\n* source languages: de\n* target languages: crs\n* OPUS readme: de-crs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.429" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-crs\n\n\n* source languages: de\n* target languages: crs\n* OPUS readme: de-crs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.429" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-crs\n\n\n* source languages: de\n* target languages: crs\n* OPUS readme: de-crs\n* dataset: 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-de-cs * source languages: de * target languages: cs * OPUS readme: [de-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.de.cs \| 22.4 \| 0.499 \| \| news-test2008.de.cs \| 20.2 \| 0.487 \| \| newstest2009.de.cs \| 20.9 \| 0.485 \| \| newstest2010.de.cs \| 22.7 \| 0.510 \| \| newstest2011.de.cs \| 21.2 \| 0.487 \| \| newstest2012.de.cs \| 20.9 \| 0.479 \| \| newstest2013.de.cs \| 23.0 \| 0.500 \| \| newstest2019-decs.de.cs \| 22.5 \| 0.495 \| \| Tatoeba.de.cs \| 42.2 \| 0.625 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-cs	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "cs", "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 #de #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-cs * source languages: de * target languages: cs * OPUS readme: de-cs * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.4, chr-F: 0.499 testset: URL, BLEU: 20.2, chr-F: 0.487 testset: URL, BLEU: 20.9, chr-F: 0.485 testset: URL, BLEU: 22.7, chr-F: 0.510 testset: URL, BLEU: 21.2, chr-F: 0.487 testset: URL, BLEU: 20.9, chr-F: 0.479 testset: URL, BLEU: 23.0, chr-F: 0.500 testset: URL, BLEU: 22.5, chr-F: 0.495 testset: URL, BLEU: 42.2, chr-F: 0.625	[ "### opus-mt-de-cs\n\n\n* source languages: de\n* target languages: cs\n* OPUS readme: de-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.499\ntestset: URL, BLEU: 20.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.485\ntestset: URL, BLEU: 22.7, chr-F: 0.510\ntestset: URL, BLEU: 21.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.479\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 22.5, chr-F: 0.495\ntestset: URL, BLEU: 42.2, chr-F: 0.625" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-cs\n\n\n* source languages: de\n* target languages: cs\n* OPUS readme: de-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.499\ntestset: URL, BLEU: 20.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.485\ntestset: URL, BLEU: 22.7, chr-F: 0.510\ntestset: URL, BLEU: 21.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.479\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 22.5, chr-F: 0.495\ntestset: URL, BLEU: 42.2, chr-F: 0.625" ]	[ 61, 243 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-cs\n\n\n* source languages: de\n* target languages: cs\n* OPUS readme: de-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.499\ntestset: URL, BLEU: 20.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.485\ntestset: URL, BLEU: 22.7, chr-F: 0.510\ntestset: URL, BLEU: 21.2, chr-F: 0.487\ntestset: URL, BLEU: 20.9, chr-F: 0.479\ntestset: URL, BLEU: 23.0, chr-F: 0.500\ntestset: URL, BLEU: 22.5, chr-F: 0.495\ntestset: URL, BLEU: 42.2, chr-F: 0.625" ]	[ -0.1722351312637329, 0.18329393863677979, -0.007375258952379227, 0.04607841745018959, -0.01466431375592947, 0.05149484798312187, 0.10132238268852234, 0.1485797017812729, 0.05704749748110771, 0.1048579066991806, 0.14121147990226746, 0.07648709416389465, 0.016816232353448868, 0.16455647349357605, -0.05416484177112579, -0.00523936515673995, -0.03329237923026085, 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null	null	transformers	### opus-mt-de-da * source languages: de * target languages: da * OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.da \| 57.2 \| 0.730 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-da	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "da", "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 #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-da * source languages: de * target languages: da * OPUS readme: de-da * 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: 57.2, chr-F: 0.730	[ "### opus-mt-de-da\n\n\n* source languages: de\n* target languages: da\n* OPUS readme: de-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.2, chr-F: 0.730" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-da\n\n\n* source languages: de\n* target languages: da\n* OPUS readme: de-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.2, chr-F: 0.730" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-da\n\n\n* source languages: de\n* target languages: da\n* OPUS readme: de-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-de * source languages: de * target languages: de * OPUS readme: [de-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.de \| 40.7 \| 0.616 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-de	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "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 #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-de * source languages: de * target languages: de * OPUS readme: de-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: 40.7, chr-F: 0.616	[ "### opus-mt-de-de\n\n\n* source languages: de\n* target languages: de\n* OPUS readme: de-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: 40.7, chr-F: 0.616" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-de\n\n\n* source languages: de\n* target languages: de\n* OPUS readme: de-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: 40.7, chr-F: 0.616" ]	[ 59, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-de\n\n\n* source languages: de\n* target languages: de\n* OPUS readme: de-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: 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null	null	transformers	### opus-mt-de-ee * source languages: de * target languages: ee * OPUS readme: [de-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ee \| 24.6 \| 0.463 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ee	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ee", "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 #de #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ee * source languages: de * target languages: ee * OPUS readme: de-ee * 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: 24.6, chr-F: 0.463	[ "### opus-mt-de-ee\n\n\n* source languages: de\n* target languages: ee\n* OPUS readme: de-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.463" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ee\n\n\n* source languages: de\n* target languages: ee\n* OPUS readme: de-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.463" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ee\n\n\n* source languages: de\n* target languages: ee\n* OPUS readme: de-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-efi * source languages: de * target languages: efi * OPUS readme: [de-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.efi \| 24.2 \| 0.451 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-efi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "efi", "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 #de #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-efi * source languages: de * target languages: efi * OPUS readme: de-efi * 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: 0.451	[ "### opus-mt-de-efi\n\n\n* source languages: de\n* target languages: efi\n* OPUS readme: de-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-efi\n\n\n* source languages: de\n* target languages: efi\n* OPUS readme: de-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-efi\n\n\n* source languages: de\n* target languages: efi\n* OPUS readme: de-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]	[ -0.12445908039808273, 0.13075244426727295, -0.004622089210897684, 0.06796380132436752, 0.05650300160050392, 0.013327269814908504, 0.08658897131681442, 0.1430237740278244, 0.021894527599215508, -0.008632123470306396, 0.12807174026966095, 0.13876642286777496, 0.020558837801218033, 0.1740063577890396, -0.08145619928836823, -0.1223682165145874, 0.047137487679719925, 0.06067482382059097, -0.0422649085521698, 0.12354826182126999, 0.1287771314382553, -0.017877982929348946, 0.09996547549962997, -0.01876682974398136, -0.040142420679330826, 0.11857470870018005, -0.02270990051329136, -0.07414989918470383, 0.07821209728717804, 0.08762647956609726, 0.03869802877306938, 0.06382431834936142, -0.04308940842747688, -0.2332923710346222, 0.013922331854701042, 0.0002697237068787217, -0.06717101484537125, 0.0011634863913059235, 0.02592949941754341, -0.08958917111158371, 0.08024465292692184, -0.0295352004468441, 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null	null	transformers	### opus-mt-de-el * source languages: de * target languages: el * OPUS readme: [de-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.el \| 45.7 \| 0.649 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-el	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "el", "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 #de #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-el * source languages: de * target languages: el * OPUS readme: de-el * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.7, chr-F: 0.649	[ "### opus-mt-de-el\n\n\n* source languages: de\n* target languages: el\n* OPUS readme: de-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.649" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-el\n\n\n* source languages: de\n* target languages: el\n* OPUS readme: de-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.7, chr-F: 0.649" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-el\n\n\n* source languages: de\n* target languages: el\n* OPUS readme: de-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-en * source languages: de * target languages: en * OPUS readme: [de-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-en/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/de-en/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.de.en \| 29.4 \| 0.557 \| \| news-test2008.de.en \| 27.8 \| 0.548 \| \| newstest2009.de.en \| 26.8 \| 0.543 \| \| newstest2010.de.en \| 30.2 \| 0.584 \| \| newstest2011.de.en \| 27.4 \| 0.556 \| \| newstest2012.de.en \| 29.1 \| 0.569 \| \| newstest2013.de.en \| 32.1 \| 0.583 \| \| newstest2014-deen.de.en \| 34.0 \| 0.600 \| \| newstest2015-ende.de.en \| 34.2 \| 0.599 \| \| newstest2016-ende.de.en \| 40.4 \| 0.649 \| \| newstest2017-ende.de.en \| 35.7 \| 0.610 \| \| newstest2018-ende.de.en \| 43.7 \| 0.667 \| \| newstest2019-deen.de.en \| 40.1 \| 0.642 \| \| Tatoeba.de.en \| 55.4 \| 0.707 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-en	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "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 #de #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-en * source languages: de * target languages: en * OPUS readme: de-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: 29.4, chr-F: 0.557 testset: URL, BLEU: 27.8, chr-F: 0.548 testset: URL, BLEU: 26.8, chr-F: 0.543 testset: URL, BLEU: 30.2, chr-F: 0.584 testset: URL, BLEU: 27.4, chr-F: 0.556 testset: URL, BLEU: 29.1, chr-F: 0.569 testset: URL, BLEU: 32.1, chr-F: 0.583 testset: URL, BLEU: 34.0, chr-F: 0.600 testset: URL, BLEU: 34.2, chr-F: 0.599 testset: URL, BLEU: 40.4, chr-F: 0.649 testset: URL, BLEU: 35.7, chr-F: 0.610 testset: URL, BLEU: 43.7, chr-F: 0.667 testset: URL, BLEU: 40.1, chr-F: 0.642 testset: URL, BLEU: 55.4, chr-F: 0.707	[ "### opus-mt-de-en\n\n\n* source languages: de\n* target languages: en\n* OPUS readme: de-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: 29.4, chr-F: 0.557\ntestset: URL, BLEU: 27.8, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.543\ntestset: URL, BLEU: 30.2, chr-F: 0.584\ntestset: URL, BLEU: 27.4, chr-F: 0.556\ntestset: URL, BLEU: 29.1, chr-F: 0.569\ntestset: URL, BLEU: 32.1, chr-F: 0.583\ntestset: URL, BLEU: 34.0, chr-F: 0.600\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 40.4, chr-F: 0.649\ntestset: URL, BLEU: 35.7, chr-F: 0.610\ntestset: URL, BLEU: 43.7, chr-F: 0.667\ntestset: URL, BLEU: 40.1, chr-F: 0.642\ntestset: URL, BLEU: 55.4, chr-F: 0.707" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-en\n\n\n* source languages: de\n* target languages: en\n* OPUS readme: de-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: 29.4, chr-F: 0.557\ntestset: URL, BLEU: 27.8, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.543\ntestset: URL, BLEU: 30.2, chr-F: 0.584\ntestset: URL, BLEU: 27.4, chr-F: 0.556\ntestset: URL, BLEU: 29.1, chr-F: 0.569\ntestset: URL, BLEU: 32.1, chr-F: 0.583\ntestset: URL, BLEU: 34.0, chr-F: 0.600\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 40.4, chr-F: 0.649\ntestset: URL, BLEU: 35.7, chr-F: 0.610\ntestset: URL, BLEU: 43.7, chr-F: 0.667\ntestset: URL, BLEU: 40.1, chr-F: 0.642\ntestset: URL, BLEU: 55.4, chr-F: 0.707" ]	[ 63, 328 ]	[ "passage: TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-en\n\n\n* source languages: de\n* target languages: en\n* OPUS readme: de-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: 29.4, chr-F: 0.557\ntestset: URL, BLEU: 27.8, chr-F: 0.548\ntestset: URL, BLEU: 26.8, chr-F: 0.543\ntestset: URL, BLEU: 30.2, chr-F: 0.584\ntestset: URL, BLEU: 27.4, chr-F: 0.556\ntestset: URL, BLEU: 29.1, chr-F: 0.569\ntestset: URL, BLEU: 32.1, chr-F: 0.583\ntestset: URL, BLEU: 34.0, chr-F: 0.600\ntestset: URL, BLEU: 34.2, chr-F: 0.599\ntestset: URL, BLEU: 40.4, chr-F: 0.649\ntestset: URL, BLEU: 35.7, chr-F: 0.610\ntestset: URL, BLEU: 43.7, chr-F: 0.667\ntestset: URL, BLEU: 40.1, chr-F: 0.642\ntestset: URL, BLEU: 55.4, chr-F: 0.707" ]	[ -0.17481453716754913, 0.16570302844047546, -0.00868846196681261, 0.05548400059342384, -0.01771245338022709, 0.06883885711431503, 0.08879386633634567, 0.15173810720443726, 0.06617734581232071, 0.11301487684249878, 0.13201996684074402, 0.09640298038721085, 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null	null	transformers	### opus-mt-de-eo * source languages: de * target languages: eo * OPUS readme: [de-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-eo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.eo \| 48.6 \| 0.673 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-eo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eo", "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 #de #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-eo * source languages: de * target languages: eo * OPUS readme: de-eo * 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: 0.673	[ "### opus-mt-de-eo\n\n\n* source languages: de\n* target languages: eo\n* OPUS readme: de-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.673" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-eo\n\n\n* source languages: de\n* target languages: eo\n* OPUS readme: de-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.673" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-eo\n\n\n* source languages: de\n* target languages: eo\n* OPUS readme: de-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-es * source languages: de * target languages: es * OPUS readme: [de-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.es \| 48.5 \| 0.676 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-es	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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 #de #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-es * source languages: de * target languages: es * OPUS readme: de-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: 48.5, chr-F: 0.676	[ "### opus-mt-de-es\n\n\n* source languages: de\n* target languages: es\n* OPUS readme: de-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: 48.5, chr-F: 0.676" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-es\n\n\n* source languages: de\n* target languages: es\n* OPUS readme: de-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: 48.5, chr-F: 0.676" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-es\n\n\n* source languages: de\n* target languages: es\n* OPUS readme: de-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-de-et * source languages: de * target languages: et * OPUS readme: [de-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.et \| 20.2 \| 0.465 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-et	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "et", "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 #de #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-et * source languages: de * target languages: et * OPUS readme: de-et * 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: 0.465	[ "### opus-mt-de-et\n\n\n* source languages: de\n* target languages: et\n* OPUS readme: de-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.465" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-et\n\n\n* source languages: de\n* target languages: et\n* OPUS readme: de-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.465" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-et\n\n\n* source languages: de\n* target languages: et\n* OPUS readme: de-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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	### deu-eus * source group: German * target group: Basque * OPUS readme: [deu-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md) * model: transformer-align * source language(s): deu * target language(s): eus * 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/deu-eus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.eus \| 31.8 \| 0.574 \| ### System Info: - hf_name: deu-eus - source_languages: deu - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'eu'] - src_constituents: {'deu'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt - src_alpha3: deu - tgt_alpha3: eus - short_pair: de-eu - chrF2_score: 0.574 - bleu: 31.8 - brevity_penalty: 0.9209999999999999 - ref_len: 2829.0 - src_name: German - tgt_name: Basque - train_date: 2020-06-16 - src_alpha2: de - tgt_alpha2: eu - prefer_old: False - long_pair: deu-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "eu"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-eu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "eu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-eus * source group: German * target group: Basque * OPUS readme: deu-eus * model: transformer-align * source language(s): deu * target language(s): eus * 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: 31.8, chr-F: 0.574 ### System Info: * hf\_name: deu-eus * source\_languages: deu * target\_languages: eus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'eu'] * src\_constituents: {'deu'} * tgt\_constituents: {'eus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: eus * short\_pair: de-eu * chrF2\_score: 0.574 * bleu: 31.8 * brevity\_penalty: 0.9209999999999999 * ref\_len: 2829.0 * src\_name: German * tgt\_name: Basque * train\_date: 2020-06-16 * src\_alpha2: de * tgt\_alpha2: eu * prefer\_old: False * long\_pair: deu-eus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-eus\n\n\n* source group: German\n* target group: Basque\n* OPUS readme: deu-eus\n* model: transformer-align\n* source language(s): deu\n* target language(s): eus\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: 31.8, chr-F: 0.574", "### System Info:\n\n\n* hf\\_name: deu-eus\n* source\\_languages: deu\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'eu']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'eus'}\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: deu\n* tgt\\_alpha3: eus\n* short\\_pair: de-eu\n* chrF2\\_score: 0.574\n* bleu: 31.8\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2829.0\n* src\\_name: German\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: deu-eus\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 #de #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-eus\n\n\n* source group: German\n* target group: Basque\n* OPUS readme: deu-eus\n* model: transformer-align\n* source language(s): deu\n* target language(s): eus\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: 31.8, chr-F: 0.574", "### System Info:\n\n\n* hf\\_name: deu-eus\n* source\\_languages: deu\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'eu']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'eus'}\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: deu\n* tgt\\_alpha3: eus\n* short\\_pair: de-eu\n* chrF2\\_score: 0.574\n* bleu: 31.8\n* brevity\\_penalty: 0.9209999999999999\n* ref\\_len: 2829.0\n* src\\_name: German\n* tgt\\_name: Basque\n* train\\_date: 2020-06-16\n* src\\_alpha2: de\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: deu-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 123, 399 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-eus\n\n\n* source group: German\n* target group: Basque\n* OPUS readme: deu-eus\n* model: transformer-align\n* source language(s): deu\n* target language(s): eus\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: 31.8, chr-F: 0.574" ]	[ -0.1309618502855301, 0.04067164286971092, -0.0031842144671827555, 0.07480400055646896, 0.08647391945123672, 0.015004036016762257, 0.09878756105899811, 0.09577995538711548, 0.03851368650794029, 0.035026732832193375, 0.11312022805213928, 0.1169949471950531, 0.01894131302833557, 0.12720707058906555, -0.026813963428139687, -0.16759012639522552, 0.09660367667675018, 0.03619019687175751, -0.09366358816623688, 0.09155638515949249, 0.1072499006986618, -0.028669483959674835, 0.12003407627344131, -0.027157271280884743, -0.020839788019657135, 0.14133220911026, 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null	null	transformers	### opus-mt-de-fi * source languages: de * target languages: fi * OPUS readme: [de-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.fi \| 40.0 \| 0.628 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-fi	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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 #de #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-fi * source languages: de * target languages: fi * OPUS readme: de-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: 40.0, chr-F: 0.628	[ "### opus-mt-de-fi\n\n\n* source languages: de\n* target languages: fi\n* OPUS readme: de-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: 40.0, chr-F: 0.628" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fi\n\n\n* source languages: de\n* target languages: fi\n* OPUS readme: de-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: 40.0, chr-F: 0.628" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-fi\n\n\n* source languages: de\n* target languages: fi\n* OPUS readme: de-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-de-fj * source languages: de * target languages: fj * OPUS readme: [de-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.fj \| 24.6 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-fj	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "fj", "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 #de #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-fj * source languages: de * target languages: fj * OPUS readme: de-fj * 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: 24.6, chr-F: 0.470	[ "### opus-mt-de-fj\n\n\n* source languages: de\n* target languages: fj\n* OPUS readme: de-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fj\n\n\n* source languages: de\n* target languages: fj\n* OPUS readme: de-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.470" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-fj\n\n\n* source languages: de\n* target languages: fj\n* OPUS readme: de-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-fr * source languages: de * target languages: fr * OPUS readme: [de-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| euelections_dev2019.transformer-align.de \| 32.2 \| 0.590 \| \| newssyscomb2009.de.fr \| 26.8 \| 0.553 \| \| news-test2008.de.fr \| 26.4 \| 0.548 \| \| newstest2009.de.fr \| 25.6 \| 0.539 \| \| newstest2010.de.fr \| 29.1 \| 0.572 \| \| newstest2011.de.fr \| 26.9 \| 0.551 \| \| newstest2012.de.fr \| 27.7 \| 0.554 \| \| newstest2013.de.fr \| 29.5 \| 0.560 \| \| newstest2019-defr.de.fr \| 36.6 \| 0.625 \| \| Tatoeba.de.fr \| 49.2 \| 0.664 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-fr	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "fr", "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 #de #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-fr * source languages: de * target languages: fr * OPUS readme: de-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: euelections\_dev2019.URL, BLEU: 32.2, chr-F: 0.590 testset: URL, BLEU: 26.8, chr-F: 0.553 testset: URL, BLEU: 26.4, chr-F: 0.548 testset: URL, BLEU: 25.6, chr-F: 0.539 testset: URL, BLEU: 29.1, chr-F: 0.572 testset: URL, BLEU: 26.9, chr-F: 0.551 testset: URL, BLEU: 27.7, chr-F: 0.554 testset: URL, BLEU: 29.5, chr-F: 0.560 testset: URL, BLEU: 36.6, chr-F: 0.625 testset: URL, BLEU: 49.2, chr-F: 0.664	[ "### opus-mt-de-fr\n\n\n* source languages: de\n* target languages: fr\n* OPUS readme: de-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: euelections\\_dev2019.URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 26.8, chr-F: 0.553\ntestset: URL, BLEU: 26.4, chr-F: 0.548\ntestset: URL, BLEU: 25.6, chr-F: 0.539\ntestset: URL, BLEU: 29.1, chr-F: 0.572\ntestset: URL, BLEU: 26.9, chr-F: 0.551\ntestset: URL, BLEU: 27.7, chr-F: 0.554\ntestset: URL, BLEU: 29.5, chr-F: 0.560\ntestset: URL, BLEU: 36.6, chr-F: 0.625\ntestset: URL, BLEU: 49.2, chr-F: 0.664" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-fr\n\n\n* source languages: de\n* target languages: fr\n* OPUS readme: de-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: euelections\\_dev2019.URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 26.8, chr-F: 0.553\ntestset: URL, BLEU: 26.4, chr-F: 0.548\ntestset: URL, BLEU: 25.6, chr-F: 0.539\ntestset: URL, BLEU: 29.1, chr-F: 0.572\ntestset: URL, BLEU: 26.9, chr-F: 0.551\ntestset: URL, BLEU: 27.7, chr-F: 0.554\ntestset: URL, BLEU: 29.5, chr-F: 0.560\ntestset: URL, BLEU: 36.6, chr-F: 0.625\ntestset: URL, BLEU: 49.2, chr-F: 0.664" ]	[ 63, 262 ]	[ "passage: TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #de #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-fr\n\n\n* source languages: de\n* target languages: fr\n* OPUS readme: de-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: euelections\\_dev2019.URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 26.8, chr-F: 0.553\ntestset: URL, BLEU: 26.4, chr-F: 0.548\ntestset: URL, BLEU: 25.6, chr-F: 0.539\ntestset: URL, BLEU: 29.1, chr-F: 0.572\ntestset: URL, BLEU: 26.9, chr-F: 0.551\ntestset: URL, BLEU: 27.7, chr-F: 0.554\ntestset: URL, BLEU: 29.5, chr-F: 0.560\ntestset: URL, BLEU: 36.6, chr-F: 0.625\ntestset: URL, BLEU: 49.2, chr-F: 0.664" ]	[ 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null	null	transformers	### opus-mt-de-gaa * source languages: de * target languages: gaa * OPUS readme: [de-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.gaa \| 26.3 \| 0.471 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-gaa	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gaa", "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 #de #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-gaa * source languages: de * target languages: gaa * OPUS readme: de-gaa * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.3, chr-F: 0.471	[ "### opus-mt-de-gaa\n\n\n* source languages: de\n* target languages: gaa\n* OPUS readme: de-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.471" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-gaa\n\n\n* source languages: de\n* target languages: gaa\n* OPUS readme: de-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.471" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-gaa\n\n\n* source languages: de\n* target languages: gaa\n* OPUS readme: de-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.471" ]	[ -0.11136233061552048, 0.15084120631217957, -0.0036530981305986643, 0.06278717517852783, 0.0763443186879158, 0.01373274251818657, 0.051841408014297485, 0.13270771503448486, 0.013698567636311054, 0.0008080878760665655, 0.12354306876659393, 0.09161766618490219, 0.045532576739788055, 0.163389191031456, -0.06549833714962006, -0.1357167661190033, 0.034093257039785385, 0.04241138696670532, -0.061305541545152664, 0.1471828669309616, 0.09823303669691086, -0.002706381492316723, 0.09932003170251846, -0.01795731484889984, -0.03070416860282421, 0.0856856182217598, 0.024180855602025986, -0.10569706559181213, 0.05837651714682579, 0.05537886172533035, 0.00470443069934845, 0.06165413185954094, -0.049193188548088074, -0.18641193211078644, 0.013195092789828777, 0.010393179953098297, -0.0304371677339077, 0.004469911567866802, 0.023827476426959038, -0.07625115662813187, 0.16884903609752655, -0.0411241352558136, 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null	null	transformers	### opus-mt-de-gil * source languages: de * target languages: gil * OPUS readme: [de-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.gil \| 24.0 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-gil	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gil", "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 #de #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-gil * source languages: de * target languages: gil * OPUS readme: de-gil * 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: 0.472	[ "### opus-mt-de-gil\n\n\n* source languages: de\n* target languages: gil\n* OPUS readme: de-gil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-gil\n\n\n* source languages: de\n* target languages: gil\n* OPUS readme: de-gil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.472" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-gil\n\n\n* source languages: de\n* target languages: gil\n* OPUS readme: de-gil\n* dataset: 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-de-guw * source languages: de * target languages: guw * OPUS readme: [de-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.guw \| 27.1 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-guw	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "guw", "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 #de #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-guw * source languages: de * target languages: guw * OPUS readme: de-guw * 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: 0.472	[ "### opus-mt-de-guw\n\n\n* source languages: de\n* target languages: guw\n* OPUS readme: de-guw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-guw\n\n\n* source languages: de\n* target languages: guw\n* OPUS readme: de-guw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.472" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-guw\n\n\n* source languages: de\n* target languages: guw\n* OPUS readme: de-guw\n* dataset: 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-de-ha * source languages: de * target languages: ha * OPUS readme: [de-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ha \| 20.7 \| 0.417 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ha	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ha", "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 #de #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ha * source languages: de * target languages: ha * OPUS readme: de-ha * 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: 20.7, chr-F: 0.417	[ "### opus-mt-de-ha\n\n\n* source languages: de\n* target languages: ha\n* OPUS readme: de-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.417" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ha\n\n\n* source languages: de\n* target languages: ha\n* OPUS readme: de-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.417" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ha\n\n\n* source languages: de\n* target languages: ha\n* OPUS readme: de-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-he * source languages: de * target languages: he * OPUS readme: [de-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-he/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.he \| 36.6 \| 0.581 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-he	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "he", "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 #de #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-he * source languages: de * target languages: he * OPUS readme: de-he * 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: 36.6, chr-F: 0.581	[ "### opus-mt-de-he\n\n\n* source languages: de\n* target languages: he\n* OPUS readme: de-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.6, chr-F: 0.581" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-he\n\n\n* source languages: de\n* target languages: he\n* OPUS readme: de-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.6, chr-F: 0.581" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-he\n\n\n* source languages: de\n* target languages: he\n* OPUS readme: de-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-hil * source languages: de * target languages: hil * OPUS readme: [de-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.hil \| 33.9 \| 0.563 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-hil	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hil", "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 #de #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-hil * source languages: de * target languages: hil * OPUS readme: de-hil * 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: 33.9, chr-F: 0.563	[ "### opus-mt-de-hil\n\n\n* source languages: de\n* target languages: hil\n* OPUS readme: de-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.9, chr-F: 0.563" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hil\n\n\n* source languages: de\n* target languages: hil\n* OPUS readme: de-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.9, chr-F: 0.563" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-hil\n\n\n* source languages: de\n* target languages: hil\n* OPUS readme: de-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.9, chr-F: 0.563" ]	[ -0.11903779953718185, 0.10435730218887329, -0.0030095360707491636, 0.05314634367823601, 0.03195716068148613, 0.011409268714487553, 0.11745993793010712, 0.1558658927679062, 0.0706406831741333, 0.011758602224290371, 0.12746527791023254, 0.08809787780046463, 0.036954961717128754, 0.09984636306762695, -0.07596302777528763, -0.13637982308864594, 0.04614805802702904, 0.04728008434176445, -0.1224469318985939, 0.11587182432413101, 0.08915133774280548, -0.0183956790715456, 0.11642889678478241, -0.012046989984810352, -0.0190809927880764, 0.08501531183719635, -0.004414441529661417, -0.026874646544456482, 0.0759996697306633, 0.0710180327296257, 0.03465241193771362, 0.0855429545044899, -0.01461169496178627, -0.20965206623077393, 0.02011372521519661, 0.0028239551465958357, -0.04783698543906212, 0.027014339342713356, -0.014560212381184101, -0.08473747968673706, 0.09252790361642838, -0.0652761310338974, 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null	null	transformers	### opus-mt-de-ho * source languages: de * target languages: ho * OPUS readme: [de-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ho \| 22.6 \| 0.461 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ho	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ho", "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 #de #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ho * source languages: de * target languages: ho * OPUS readme: de-ho * 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: 0.461	[ "### opus-mt-de-ho\n\n\n* source languages: de\n* target languages: ho\n* OPUS readme: de-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.461" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ho\n\n\n* source languages: de\n* target languages: ho\n* OPUS readme: de-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.461" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ho\n\n\n* source languages: de\n* target languages: ho\n* OPUS readme: de-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-hr * source languages: de * target languages: hr * OPUS readme: [de-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.hr \| 42.6 \| 0.643 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-hr	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hr", "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 #de #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-hr * source languages: de * target languages: hr * OPUS readme: de-hr * 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: 42.6, chr-F: 0.643	[ "### opus-mt-de-hr\n\n\n* source languages: de\n* target languages: hr\n* OPUS readme: de-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.6, chr-F: 0.643" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hr\n\n\n* source languages: de\n* target languages: hr\n* OPUS readme: de-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.6, chr-F: 0.643" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-hr\n\n\n* source languages: de\n* target languages: hr\n* OPUS readme: de-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-ht * source languages: de * target languages: ht * OPUS readme: [de-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ht \| 21.8 \| 0.390 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ht	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ht", "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 #de #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ht * source languages: de * target languages: ht * OPUS readme: de-ht * 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: 0.390	[ "### opus-mt-de-ht\n\n\n* source languages: de\n* target languages: ht\n* OPUS readme: de-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.390" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ht\n\n\n* source languages: de\n* target languages: ht\n* OPUS readme: de-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.390" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ht\n\n\n* source languages: de\n* target languages: ht\n* OPUS readme: de-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-hu * source languages: de * target languages: hu * OPUS readme: [de-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.hu \| 34.3 \| 0.588 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-hu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hu", "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 #de #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-hu * source languages: de * target languages: hu * OPUS readme: de-hu * 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: 0.588	[ "### opus-mt-de-hu\n\n\n* source languages: de\n* target languages: hu\n* OPUS readme: de-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.588" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-hu\n\n\n* source languages: de\n* target languages: hu\n* OPUS readme: de-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.588" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-hu\n\n\n* source languages: de\n* target languages: hu\n* OPUS readme: de-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-ig * source languages: de * target languages: ig * OPUS readme: [de-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ig \| 25.3 \| 0.422 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ig	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ig", "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 #de #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ig * source languages: de * target languages: ig * OPUS readme: de-ig * 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: 25.3, chr-F: 0.422	[ "### opus-mt-de-ig\n\n\n* source languages: de\n* target languages: ig\n* OPUS readme: de-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.422" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ig\n\n\n* source languages: de\n* target languages: ig\n* OPUS readme: de-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.422" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ig\n\n\n* source languages: de\n* target languages: ig\n* OPUS readme: de-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-ilo * source languages: de * target languages: ilo * OPUS readme: [de-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ilo \| 29.8 \| 0.533 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ilo	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ilo", "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 #de #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ilo * source languages: de * target languages: ilo * OPUS readme: de-ilo * 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: 0.533	[ "### opus-mt-de-ilo\n\n\n* source languages: de\n* target languages: ilo\n* OPUS readme: de-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.533" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ilo\n\n\n* source languages: de\n* target languages: ilo\n* OPUS readme: de-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.533" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ilo\n\n\n* source languages: de\n* target languages: ilo\n* OPUS readme: de-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.533" ]	[ -0.12229764461517334, 0.13724955916404724, -0.004437505267560482, 0.07479345798492432, 0.06653257459402084, 0.00793259683996439, 0.13655458390712738, 0.16851843893527985, 0.02781260944902897, -0.00478929840028286, 0.10086163133382797, 0.12396374344825745, 0.043923743069171906, 0.08893879503011703, -0.09983348846435547, -0.1454971432685852, 0.06784423440694809, 0.045207612216472626, -0.04777304455637932, 0.13102084398269653, 0.09910948574542999, 0.004931056872010231, 0.10103128850460052, -0.011561915278434753, -0.02816801331937313, 0.07672258466482162, 0.00266329781152308, -0.05918459594249725, 0.05473195016384125, 0.04623998701572418, 0.019778188318014145, 0.07027494162321091, -0.020315324887633324, -0.2015221118927002, 0.020588524639606476, 0.014422204345464706, -0.04696940630674362, 0.023166067898273468, 0.027431685477495193, -0.08596231043338776, 0.13926677405834198, -0.051209282130002975, 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null	null	transformers	### deu-isl * source group: German * target group: Icelandic * OPUS readme: [deu-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md) * model: transformer-align * source language(s): deu * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.isl \| 27.1 \| 0.533 \| ### System Info: - hf_name: deu-isl - source_languages: deu - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'is'] - src_constituents: {'deu'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: isl - short_pair: de-is - chrF2_score: 0.5329999999999999 - bleu: 27.1 - brevity_penalty: 0.9620000000000001 - ref_len: 5939.0 - src_name: German - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: is - prefer_old: False - long_pair: deu-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "is"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-is	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "is" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-isl * source group: German * target group: Icelandic * OPUS readme: deu-isl * model: transformer-align * source language(s): deu * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.1, chr-F: 0.533 ### System Info: * hf\_name: deu-isl * source\_languages: deu * target\_languages: isl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'is'] * src\_constituents: {'deu'} * tgt\_constituents: {'isl'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: isl * short\_pair: de-is * chrF2\_score: 0.5329999999999999 * bleu: 27.1 * brevity\_penalty: 0.9620000000000001 * ref\_len: 5939.0 * src\_name: German * tgt\_name: Icelandic * train\_date: 2020-06-17 * src\_alpha2: de * tgt\_alpha2: is * prefer\_old: False * long\_pair: deu-isl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-isl\n\n\n* source group: German\n* target group: Icelandic\n* OPUS readme: deu-isl\n* model: transformer-align\n* source language(s): deu\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.533", "### System Info:\n\n\n* hf\\_name: deu-isl\n* source\\_languages: deu\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'is']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: isl\n* short\\_pair: de-is\n* chrF2\\_score: 0.5329999999999999\n* bleu: 27.1\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 5939.0\n* src\\_name: German\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: deu-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-isl\n\n\n* source group: German\n* target group: Icelandic\n* OPUS readme: deu-isl\n* model: transformer-align\n* source language(s): deu\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.533", "### System Info:\n\n\n* hf\\_name: deu-isl\n* source\\_languages: deu\n* target\\_languages: isl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'is']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'isl'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: isl\n* short\\_pair: de-is\n* chrF2\\_score: 0.5329999999999999\n* bleu: 27.1\n* brevity\\_penalty: 0.9620000000000001\n* ref\\_len: 5939.0\n* src\\_name: German\n* tgt\\_name: Icelandic\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: is\n* prefer\\_old: False\n* long\\_pair: deu-isl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 126, 407 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-isl\n\n\n* source group: German\n* target group: Icelandic\n* OPUS readme: deu-isl\n* model: transformer-align\n* source language(s): deu\n* target language(s): isl\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.1, chr-F: 0.533" ]	[ -0.10905025154352188, 0.031652919948101044, -0.002206787932664156, 0.08131427317857742, 0.07522738724946976, 0.022259997203946114, 0.09403427690267563, 0.10948833078145981, 0.023415815085172653, 0.01260216161608696, 0.10861773043870926, 0.10650050640106201, 0.04944968968629837, 0.11174601316452026, -0.027077455073595047, -0.1931510716676712, 0.08525475859642029, 0.034885626286268234, -0.047245483845472336, 0.11324208229780197, 0.11530870199203491, -0.012427059933543205, 0.10234707593917847, 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null	null	transformers	### opus-mt-de-iso * source languages: de * target languages: iso * OPUS readme: [de-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.iso \| 21.4 \| 0.389 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-iso	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "iso", "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 #de #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-iso * source languages: de * target languages: iso * OPUS readme: de-iso * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.4, chr-F: 0.389	[ "### opus-mt-de-iso\n\n\n* source languages: de\n* target languages: iso\n* OPUS readme: de-iso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.389" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-iso\n\n\n* source languages: de\n* target languages: iso\n* OPUS readme: de-iso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.389" ]	[ 61, 99 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-iso\n\n\n* source languages: de\n* target languages: iso\n* OPUS readme: de-iso\n* dataset: 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-de-it * source languages: de * target languages: it * OPUS readme: [de-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-it/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.it \| 45.3 \| 0.671 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-it	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "it", "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 #de #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-it * source languages: de * target languages: it * OPUS readme: de-it * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.3, chr-F: 0.671	[ "### opus-mt-de-it\n\n\n* source languages: de\n* target languages: it\n* OPUS readme: de-it\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.3, chr-F: 0.671" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-it\n\n\n* source languages: de\n* target languages: it\n* OPUS readme: de-it\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.3, chr-F: 0.671" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-it\n\n\n* source languages: de\n* target languages: it\n* OPUS readme: de-it\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-kg * source languages: de * target languages: kg * OPUS readme: [de-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.kg \| 24.4 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-kg	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "kg", "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 #de #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-kg * source languages: de * target languages: kg * OPUS readme: de-kg * 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: 24.4, chr-F: 0.474	[ "### opus-mt-de-kg\n\n\n* source languages: de\n* target languages: kg\n* OPUS readme: de-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-kg\n\n\n* source languages: de\n* target languages: kg\n* OPUS readme: de-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.474" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-kg\n\n\n* source languages: de\n* target languages: kg\n* OPUS readme: de-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-ln * source languages: de * target languages: ln * OPUS readme: [de-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ln \| 26.7 \| 0.504 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ln	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ln", "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 #de #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ln * source languages: de * target languages: ln * OPUS readme: de-ln * 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: 0.504	[ "### opus-mt-de-ln\n\n\n* source languages: de\n* target languages: ln\n* OPUS readme: de-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.504" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ln\n\n\n* source languages: de\n* target languages: ln\n* OPUS readme: de-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.504" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ln\n\n\n* source languages: de\n* target languages: ln\n* OPUS readme: de-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-loz * source languages: de * target languages: loz * OPUS readme: [de-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.loz \| 27.7 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-loz	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "loz", "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 #de #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-loz * source languages: de * target languages: loz * OPUS readme: de-loz * 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: 0.480	[ "### opus-mt-de-loz\n\n\n* source languages: de\n* target languages: loz\n* OPUS readme: de-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-loz\n\n\n* source languages: de\n* target languages: loz\n* OPUS readme: de-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.480" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-loz\n\n\n* source languages: de\n* target languages: loz\n* OPUS readme: de-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.480" ]	[ -0.11653510481119156, 0.10781163722276688, -0.003300156444311142, 0.0856911838054657, 0.04286310076713562, 0.0010854423744603992, 0.08296056091785431, 0.15891118347644806, 0.02630239725112915, -0.0015468951314687729, 0.1241927295923233, 0.16896863281726837, 0.0004426703089848161, 0.12019407749176025, -0.07463893294334412, -0.13605153560638428, 0.030057627707719803, 0.03985876590013504, -0.0334874764084816, 0.13055552542209625, 0.0888214111328125, -0.01971491426229477, 0.11160890012979507, -0.022855432704091072, -0.020033976063132286, 0.07044754922389984, 0.0031135438475757837, -0.06934854388237, 0.06866731494665146, 0.07324087619781494, 0.019774960353970528, 0.05228510871529579, -0.010572112165391445, -0.23837244510650635, 0.012979843653738499, 0.013939246535301208, -0.03708039969205856, 0.017841707915067673, 0.04894863814115524, -0.10689731687307358, 0.12962859869003296, -0.10950474441051483, 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null	null	transformers	### opus-mt-de-lt * source languages: de * target languages: lt * OPUS readme: [de-lt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.lt \| 37.9 \| 0.633 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-lt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lt", "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 #de #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-lt * source languages: de * target languages: lt * OPUS readme: de-lt * 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: 37.9, chr-F: 0.633	[ "### opus-mt-de-lt\n\n\n* source languages: de\n* target languages: lt\n* OPUS readme: de-lt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.633" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-lt\n\n\n* source languages: de\n* target languages: lt\n* OPUS readme: de-lt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.633" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-lt\n\n\n* source languages: de\n* target languages: lt\n* OPUS readme: de-lt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-lua * source languages: de * target languages: lua * OPUS readme: [de-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.lua \| 23.1 \| 0.467 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-lua	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lua", "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 #de #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-lua * source languages: de * target languages: lua * OPUS readme: de-lua * 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: 0.467	[ "### opus-mt-de-lua\n\n\n* source languages: de\n* target languages: lua\n* OPUS readme: de-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.467" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-lua\n\n\n* source languages: de\n* target languages: lua\n* OPUS readme: de-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.467" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-lua\n\n\n* source languages: de\n* target languages: lua\n* OPUS readme: de-lua\n* dataset: 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	### deu-msa * source group: German * target group: Malay (macrolanguage) * OPUS readme: [deu-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md) * model: transformer-align * source language(s): deu * target language(s): ind zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.msa \| 34.0 \| 0.607 \| ### System Info: - hf_name: deu-msa - source_languages: deu - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ms'] - src_constituents: {'deu'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: msa - short_pair: de-ms - chrF2_score: 0.607 - bleu: 34.0 - brevity_penalty: 0.9540000000000001 - ref_len: 3729.0 - src_name: German - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: ms - prefer_old: False - long_pair: deu-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", "ms"], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ms	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "ms" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-msa * source group: German * target group: Malay (macrolanguage) * OPUS readme: deu-msa * model: transformer-align * source language(s): deu * target language(s): ind zsm\_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.0, chr-F: 0.607 ### System Info: * hf\_name: deu-msa * source\_languages: deu * target\_languages: msa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'ms'] * src\_constituents: {'deu'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: msa * short\_pair: de-ms * chrF2\_score: 0.607 * bleu: 34.0 * brevity\_penalty: 0.9540000000000001 * ref\_len: 3729.0 * src\_name: German * tgt\_name: Malay (macrolanguage) * train\_date: 2020-06-17 * src\_alpha2: de * tgt\_alpha2: ms * prefer\_old: False * long\_pair: deu-msa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-msa\n\n\n* source group: German\n* target group: Malay (macrolanguage)\n* OPUS readme: deu-msa\n* model: transformer-align\n* source language(s): deu\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.0, chr-F: 0.607", "### System Info:\n\n\n* hf\\_name: deu-msa\n* source\\_languages: deu\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ms']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: msa\n* short\\_pair: de-ms\n* chrF2\\_score: 0.607\n* bleu: 34.0\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 3729.0\n* src\\_name: German\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-msa\n\n\n* source group: German\n* target group: Malay (macrolanguage)\n* OPUS readme: deu-msa\n* model: transformer-align\n* source language(s): deu\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.0, chr-F: 0.607", "### System Info:\n\n\n* hf\\_name: deu-msa\n* source\\_languages: deu\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'ms']\n* src\\_constituents: {'deu'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: deu\n* tgt\\_alpha3: msa\n* short\\_pair: de-ms\n* chrF2\\_score: 0.607\n* bleu: 34.0\n* brevity\\_penalty: 0.9540000000000001\n* ref\\_len: 3729.0\n* src\\_name: German\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: deu-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 166, 441 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-msa\n\n\n* source group: German\n* target group: Malay (macrolanguage)\n* OPUS readme: deu-msa\n* model: transformer-align\n* source language(s): deu\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.0, chr-F: 0.607" ]	[ -0.08700082451105118, -0.017411500215530396, -0.005195289850234985, 0.0046392097137868404, 0.05374717712402344, -0.0019022036576643586, 0.05900653451681137, 0.08846577256917953, -0.08938995003700256, 0.02852560766041279, 0.11077619343996048, 0.06160217896103859, 0.05190417170524597, 0.12186440825462341, -0.06645604223012924, -0.17984643578529358, 0.044536519795656204, 0.04731185361742973, 0.0013065616367384791, 0.1025937870144844, 0.10345625877380371, -0.011487086303532124, 0.10928039252758026, -0.03991669788956642, -0.03574221581220627, 0.1157345399260521, 0.01268062461167574, -0.04024535045027733, 0.05322098731994629, 0.07372322678565979, 0.01377095840871334, 0.06938090175390244, 0.011732542887330055, 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null	null	transformers	### opus-mt-de-mt * source languages: de * target languages: mt * OPUS readme: [de-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.mt \| 25.0 \| 0.436 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-mt	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "mt", "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 #de #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-mt * source languages: de * target languages: mt * OPUS readme: de-mt * 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: 0.436	[ "### opus-mt-de-mt\n\n\n* source languages: de\n* target languages: mt\n* OPUS readme: de-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.436" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-mt\n\n\n* source languages: de\n* target languages: mt\n* OPUS readme: de-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.436" ]	[ 62, 103 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-mt\n\n\n* source languages: de\n* target languages: mt\n* OPUS readme: de-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-niu * source languages: de * target languages: niu * OPUS readme: [de-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.niu \| 28.4 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-niu	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "niu", "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 #de #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-niu * source languages: de * target languages: niu * OPUS readme: de-niu * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.4, chr-F: 0.496	[ "### opus-mt-de-niu\n\n\n* source languages: de\n* target languages: niu\n* OPUS readme: de-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-niu\n\n\n* source languages: de\n* target languages: niu\n* OPUS readme: de-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.496" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-niu\n\n\n* source languages: de\n* target languages: niu\n* OPUS readme: de-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.496" ]	[ -0.0849078893661499, 0.159075066447258, -0.003738817758858204, 0.06179676949977875, 0.0495450459420681, 0.02209888957440853, 0.06904026120901108, 0.12988382577896118, -0.026199007406830788, 0.025042671710252762, 0.13933755457401276, 0.14343075454235077, 0.02236797660589218, 0.11889934539794922, -0.042012859135866165, -0.1381528675556183, 0.06619320064783096, 0.047109223902225494, -0.047493185847997665, 0.140633687376976, 0.0749279335141182, -0.003290455788373947, 0.08282376825809479, -0.01275020744651556, -0.041174959391355515, 0.07233376801013947, 0.003951249178498983, -0.05871942639350891, 0.05879494175314903, 0.04305721074342728, 0.04002014547586441, 0.08130990713834763, -0.03733229264616966, -0.2276347130537033, 0.015431148000061512, 0.009660392068326473, -0.06377273052930832, 0.011357651092112064, 0.02815631590783596, -0.062206417322158813, 0.18299774825572968, -0.044076673686504364, 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null	null	transformers	### opus-mt-de-nl * source languages: de * target languages: nl * OPUS readme: [de-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.nl \| 52.8 \| 0.699 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-nl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "nl", "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 #de #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-nl * source languages: de * target languages: nl * OPUS readme: de-nl * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.8, chr-F: 0.699	[ "### opus-mt-de-nl\n\n\n* source languages: de\n* target languages: nl\n* OPUS readme: de-nl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.8, chr-F: 0.699" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-nl\n\n\n* source languages: de\n* target languages: nl\n* OPUS readme: de-nl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.8, chr-F: 0.699" ]	[ 61, 101 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-nl\n\n\n* source languages: de\n* target languages: nl\n* OPUS readme: de-nl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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	### deu-nor * source group: German * target group: Norwegian * OPUS readme: [deu-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md) * model: transformer-align * source language(s): deu * 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/deu-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.deu.nor \| 33.2 \| 0.554 \| ### System Info: - hf_name: deu-nor - source_languages: deu - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'no'] - src_constituents: {'deu'} - 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/deu-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: nor - short_pair: de-no - chrF2_score: 0.5539999999999999 - bleu: 33.2 - brevity_penalty: 0.956 - ref_len: 32928.0 - src_name: German - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: no - prefer_old: False - long_pair: deu-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["de", false], "license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-no	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	2022-03-02T23:29:04+00:00	[]	[ "de", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #de #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### deu-nor * source group: German * target group: Norwegian * OPUS readme: deu-nor * model: transformer-align * source language(s): deu * 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: 33.2, chr-F: 0.554 ### System Info: * hf\_name: deu-nor * source\_languages: deu * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['de', 'no'] * src\_constituents: {'deu'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: deu * tgt\_alpha3: nor * short\_pair: de-no * chrF2\_score: 0.5539999999999999 * bleu: 33.2 * brevity\_penalty: 0.956 * ref\_len: 32928.0 * src\_name: German * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: de * tgt\_alpha2: no * prefer\_old: False * long\_pair: deu-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### deu-nor\n\n\n* source group: German\n* target group: Norwegian\n* OPUS readme: deu-nor\n* model: transformer-align\n* source language(s): deu\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: 33.2, chr-F: 0.554", "### System Info:\n\n\n* hf\\_name: deu-nor\n* source\\_languages: deu\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'no']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: nor\n* short\\_pair: de-no\n* chrF2\\_score: 0.5539999999999999\n* bleu: 33.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 32928.0\n* src\\_name: German\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: deu-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 #de #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### deu-nor\n\n\n* source group: German\n* target group: Norwegian\n* OPUS readme: deu-nor\n* model: transformer-align\n* source language(s): deu\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: 33.2, chr-F: 0.554", "### System Info:\n\n\n* hf\\_name: deu-nor\n* source\\_languages: deu\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['de', 'no']\n* src\\_constituents: {'deu'}\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: deu\n* tgt\\_alpha3: nor\n* short\\_pair: de-no\n* chrF2\\_score: 0.5539999999999999\n* bleu: 33.2\n* brevity\\_penalty: 0.956\n* ref\\_len: 32928.0\n* src\\_name: German\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: de\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: deu-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 61, 152, 404 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### deu-nor\n\n\n* source group: German\n* target group: Norwegian\n* OPUS readme: deu-nor\n* model: transformer-align\n* source language(s): deu\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: 33.2, chr-F: 0.554" ]	[ 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null	null	transformers	### opus-mt-de-nso * source languages: de * target languages: nso * OPUS readme: [de-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.nso \| 31.1 \| 0.519 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-nso	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "nso", "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 #de #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-nso * source languages: de * target languages: nso * OPUS readme: de-nso * 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: 31.1, chr-F: 0.519	[ "### opus-mt-de-nso\n\n\n* source languages: de\n* target languages: nso\n* OPUS readme: de-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.519" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-nso\n\n\n* source languages: de\n* target languages: nso\n* OPUS readme: de-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.519" ]	[ 62, 102 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-nso\n\n\n* source languages: de\n* target languages: nso\n* OPUS readme: de-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.519" ]	[ -0.11043883860111237, 0.16335110366344452, -0.003821546444669366, 0.06657756865024567, 0.06864569336175919, -0.0075096990913152695, 0.07334877550601959, 0.1420123428106308, 0.013489850796759129, 0.01598305068910122, 0.0956757441163063, 0.12654361128807068, 0.03372207283973694, 0.14280012249946594, -0.07368011772632599, -0.14456327259540558, 0.061742089688777924, 0.04658499360084534, -0.06173167750239372, 0.13255970180034637, 0.08149752020835876, -0.0002770333376247436, 0.09476030617952347, -0.022375470027327538, -0.003263333113864064, 0.07395519316196442, 0.004985217936336994, -0.0789029598236084, 0.0426517054438591, 0.035927336663007736, 0.02435474656522274, 0.0826815739274025, -0.021542267873883247, -0.20995725691318512, 0.010826126672327518, 0.020372625440359116, -0.035875506699085236, 0.008472110144793987, 0.050112638622522354, -0.05181778222322464, 0.155427947640419, -0.041024286299943924, 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null	null	transformers	### opus-mt-de-ny * source languages: de * target languages: ny * OPUS readme: [de-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ny/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.ny \| 21.4 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-ny	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ny", "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 #de #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-ny * source languages: de * target languages: ny * OPUS readme: de-ny * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.4, chr-F: 0.481	[ "### opus-mt-de-ny\n\n\n* source languages: de\n* target languages: ny\n* OPUS readme: de-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-ny\n\n\n* source languages: de\n* target languages: ny\n* OPUS readme: de-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.4, chr-F: 0.481" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-ny\n\n\n* source languages: de\n* target languages: ny\n* OPUS readme: de-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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-de-pag * source languages: de * target languages: pag * OPUS readme: [de-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.pag \| 24.3 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-pag	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pag", "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 #de #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-pag * source languages: de * target languages: pag * OPUS readme: de-pag * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.3, chr-F: 0.469	[ "### opus-mt-de-pag\n\n\n* source languages: de\n* target languages: pag\n* OPUS readme: de-pag\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pag\n\n\n* source languages: de\n* target languages: pag\n* OPUS readme: de-pag\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.469" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-pag\n\n\n* source languages: de\n* target languages: pag\n* OPUS readme: de-pag\n* dataset: 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-de-pap * source languages: de * target languages: pap * OPUS readme: [de-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.pap \| 25.6 \| 0.453 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-pap	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pap", "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 #de #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-pap * source languages: de * target languages: pap * OPUS readme: de-pap * 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: 25.6, chr-F: 0.453	[ "### opus-mt-de-pap\n\n\n* source languages: de\n* target languages: pap\n* OPUS readme: de-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.453" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pap\n\n\n* source languages: de\n* target languages: pap\n* OPUS readme: de-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.453" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-pap\n\n\n* source languages: de\n* target languages: pap\n* OPUS readme: de-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.453" ]	[ -0.11216896772384644, 0.1287522315979004, -0.0055975536815822124, 0.052544716745615005, 0.07182677090167999, 0.00614650035277009, 0.05647749453783035, 0.1496773213148117, -0.07862541079521179, 0.0073743825778365135, 0.14669641852378845, 0.12835434079170227, 0.0485285222530365, 0.12164357304573059, -0.03905763104557991, -0.1866873949766159, 0.05068475380539894, 0.07266069203615189, -0.04975668713450432, 0.16891910135746002, 0.09287768602371216, -0.01562643237411976, 0.08678272366523743, 0.006564601324498653, 0.018018461763858795, 0.07545717060565948, 0.0013838401064276695, -0.08325942605733871, 0.06944616883993149, 0.02520834095776081, 0.05213208124041557, 0.05687621608376503, -0.05178508162498474, -0.2094631791114807, 0.019092991948127747, 0.03125244006514549, -0.03062548115849495, 0.02956661395728588, 0.08338867872953415, -0.08244077861309052, 0.09907975792884827, -0.06913535296916962, 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null	null	transformers	### opus-mt-de-pis * source languages: de * target languages: pis * OPUS readme: [de-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.de.pis \| 26.0 \| 0.470 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-pis	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pis", "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 #de #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-pis * source languages: de * target languages: pis * OPUS readme: de-pis * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.0, chr-F: 0.470	[ "### opus-mt-de-pis\n\n\n* source languages: de\n* target languages: pis\n* OPUS readme: de-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.470" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pis\n\n\n* source languages: de\n* target languages: pis\n* OPUS readme: de-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.470" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-pis\n\n\n* source languages: de\n* target languages: pis\n* OPUS readme: de-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.0, chr-F: 0.470" ]	[ -0.11358816921710968, 0.126702681183815, -0.005091493483632803, 0.0741506889462471, 0.07497920840978622, 0.004023814108222723, 0.08928872644901276, 0.14148804545402527, -0.035420920699834824, 0.006097525358200073, 0.13689465820789337, 0.14600199460983276, 0.04452541097998619, 0.1478552222251892, -0.07269620150327682, -0.18179495632648468, 0.05581885948777199, 0.051730427891016006, -0.0423099584877491, 0.15510429441928864, 0.09368928521871567, -0.010255960747599602, 0.09298761188983917, -0.02316911146044731, -0.02042856439948082, 0.0677175223827362, 0.002454872243106365, -0.0792916864156723, 0.07195684313774109, 0.05244800075888634, 0.056328147649765015, 0.08637256920337677, -0.01504699420183897, -0.19692590832710266, 0.015974748879671097, 0.010396791622042656, -0.033115483820438385, 0.03133036196231842, 0.04938654601573944, -0.07014051079750061, 0.09046312421560287, -0.06801111996173859, 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null	null	transformers	### opus-mt-de-pl * source languages: de * target languages: pl * OPUS readme: [de-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.de.pl \| 41.2 \| 0.631 \|	{"license": "apache-2.0", "tags": ["translation"]}	translation	Helsinki-NLP/opus-mt-de-pl	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pl", "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 #de #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-de-pl * source languages: de * target languages: pl * OPUS readme: de-pl * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.2, chr-F: 0.631	[ "### opus-mt-de-pl\n\n\n* source languages: de\n* target languages: pl\n* OPUS readme: de-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.631" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-de-pl\n\n\n* source languages: de\n* target languages: pl\n* OPUS readme: de-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.631" ]	[ 61, 100 ]	[ "passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #de #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-de-pl\n\n\n* source languages: de\n* target languages: pl\n* OPUS readme: de-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + 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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