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ftopal
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huggingface-models-processed

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translation	transformers	### opus-mt-fr-ase * source languages: fr * target languages: ase * OPUS readme: [fr-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-ase/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ase/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ase/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ase \| 38.5 \| 0.545 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ase	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ase", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ase * source languages: fr * target languages: ase * OPUS readme: fr-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: 38.5, chr-F: 0.545	[ "### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-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: 38.5, chr-F: 0.545" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-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: 38.5, chr-F: 0.545" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-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: 38.5, chr-F: 0.545" ]
translation	transformers	### opus-mt-fr-bcl * source languages: fr * target languages: bcl * OPUS readme: [fr-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.bcl \| 35.9 \| 0.566 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-bcl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "bcl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-bcl * source languages: fr * target languages: bcl * OPUS readme: fr-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: 35.9, chr-F: 0.566	[ "### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-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: 35.9, chr-F: 0.566" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-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: 35.9, chr-F: 0.566" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-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: 35.9, chr-F: 0.566" ]
translation	transformers	### opus-mt-fr-bem * source languages: fr * target languages: bem * OPUS readme: [fr-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bem/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.bem \| 22.8 \| 0.456 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-bem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "bem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-bem * source languages: fr * target languages: bem * OPUS readme: fr-bem * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.8, chr-F: 0.456	[ "### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456" ]
translation	transformers	### opus-mt-fr-ber * source languages: fr * target languages: ber * OPUS readme: [fr-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ber/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.ber \| 37.2 \| 0.641 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ber	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ber", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ber * source languages: fr * target languages: ber * OPUS readme: fr-ber * 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: 37.2, chr-F: 0.641	[ "### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641" ]
translation	transformers	### fra-bul * source group: French * target group: Bulgarian * OPUS readme: [fra-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md) * model: transformer * source language(s): fra * 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/fra-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.bul \| 46.3 \| 0.657 \| ### System Info: - hf_name: fra-bul - source_languages: fra - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'bg'] - src_constituents: {'fra'} - 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/fra-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt - src_alpha3: fra - tgt_alpha3: bul - short_pair: fr-bg - chrF2_score: 0.657 - bleu: 46.3 - brevity_penalty: 0.953 - ref_len: 3286.0 - src_name: French - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: fr - tgt_alpha2: bg - prefer_old: False - long_pair: fra-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "bg"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-bul * source group: French * target group: Bulgarian * OPUS readme: fra-bul * model: transformer * source language(s): fra * 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: 46.3, chr-F: 0.657 ### System Info: * hf\_name: fra-bul * source\_languages: fra * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'bg'] * src\_constituents: {'fra'} * 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: fra * tgt\_alpha3: bul * short\_pair: fr-bg * chrF2\_score: 0.657 * bleu: 46.3 * brevity\_penalty: 0.953 * ref\_len: 3286.0 * src\_name: French * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: fr * tgt\_alpha2: bg * prefer\_old: False * long\_pair: fra-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\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: 46.3, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: fra-bul\n* source\\_languages: fra\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'bg']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: bul\n* short\\_pair: fr-bg\n* chrF2\\_score: 0.657\n* bleu: 46.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3286.0\n* src\\_name: French\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: fra-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 #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\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: 46.3, chr-F: 0.657", "### System Info:\n\n\n* hf\\_name: fra-bul\n* source\\_languages: fra\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'bg']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: bul\n* short\\_pair: fr-bg\n* chrF2\\_score: 0.657\n* bleu: 46.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3286.0\n* src\\_name: French\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: fra-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 130, 409 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\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: 46.3, chr-F: 0.657### System Info:\n\n\n* hf\\_name: fra-bul\n* source\\_languages: fra\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'bg']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: bul\n* short\\_pair: fr-bg\n* chrF2\\_score: 0.657\n* bleu: 46.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3286.0\n* src\\_name: French\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: fra-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-bi * source languages: fr * target languages: bi * OPUS readme: [fr-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-bi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.bi \| 28.4 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-bi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "bi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-bi * source languages: fr * target languages: bi * OPUS readme: fr-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: 28.4, chr-F: 0.464	[ "### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-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: 28.4, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-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: 28.4, chr-F: 0.464" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-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: 28.4, chr-F: 0.464" ]
translation	transformers	### opus-mt-fr-bzs * source languages: fr * target languages: bzs * OPUS readme: [fr-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.bzs \| 30.2 \| 0.477 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-bzs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "bzs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-bzs * source languages: fr * target languages: bzs * OPUS readme: fr-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: 30.2, chr-F: 0.477	[ "### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-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: 30.2, chr-F: 0.477" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-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: 30.2, chr-F: 0.477" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-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: 30.2, chr-F: 0.477" ]
translation	transformers	### fra-cat * source group: French * target group: Catalan * OPUS readme: [fra-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md) * model: transformer-align * source language(s): fra * 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/fra-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.cat \| 43.4 \| 0.645 \| ### System Info: - hf_name: fra-cat - source_languages: fra - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'ca'] - src_constituents: {'fra'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt - src_alpha3: fra - tgt_alpha3: cat - short_pair: fr-ca - chrF2_score: 0.645 - bleu: 43.4 - brevity_penalty: 0.982 - ref_len: 5214.0 - src_name: French - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: fr - tgt_alpha2: ca - prefer_old: False - long_pair: fra-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "ca"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ca	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-cat * source group: French * target group: Catalan * OPUS readme: fra-cat * model: transformer-align * source language(s): fra * 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: 43.4, chr-F: 0.645 ### System Info: * hf\_name: fra-cat * source\_languages: fra * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'ca'] * src\_constituents: {'fra'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: cat * short\_pair: fr-ca * chrF2\_score: 0.645 * bleu: 43.4 * brevity\_penalty: 0.982 * ref\_len: 5214.0 * src\_name: French * tgt\_name: Catalan * train\_date: 2020-06-16 * src\_alpha2: fr * tgt\_alpha2: ca * prefer\_old: False * long\_pair: fra-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\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: 43.4, chr-F: 0.645", "### System Info:\n\n\n* hf\\_name: fra-cat\n* source\\_languages: fra\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ca']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: cat\n* short\\_pair: fr-ca\n* chrF2\\_score: 0.645\n* bleu: 43.4\n* brevity\\_penalty: 0.982\n* ref\\_len: 5214.0\n* src\\_name: French\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: fr\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: fra-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 #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\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: 43.4, chr-F: 0.645", "### System Info:\n\n\n* hf\\_name: fra-cat\n* source\\_languages: fra\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ca']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: cat\n* short\\_pair: fr-ca\n* chrF2\\_score: 0.645\n* bleu: 43.4\n* brevity\\_penalty: 0.982\n* ref\\_len: 5214.0\n* src\\_name: French\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: fr\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: fra-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 391 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\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: 43.4, chr-F: 0.645### System Info:\n\n\n* hf\\_name: fra-cat\n* source\\_languages: fra\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ca']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: cat\n* short\\_pair: fr-ca\n* chrF2\\_score: 0.645\n* bleu: 43.4\n* brevity\\_penalty: 0.982\n* ref\\_len: 5214.0\n* src\\_name: French\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: fr\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: fra-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-ceb * source languages: fr * target languages: ceb * OPUS readme: [fr-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ceb \| 32.8 \| 0.543 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ceb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ceb", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ceb * source languages: fr * target languages: ceb * OPUS readme: fr-ceb * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.8, chr-F: 0.543	[ "### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543" ]
translation	transformers	### opus-mt-fr-crs * source languages: fr * target languages: crs * OPUS readme: [fr-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.crs \| 31.6 \| 0.492 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-crs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "crs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-crs * source languages: fr * target languages: crs * OPUS readme: fr-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: 31.6, chr-F: 0.492	[ "### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-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: 31.6, chr-F: 0.492" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-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: 31.6, chr-F: 0.492" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-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: 31.6, chr-F: 0.492" ]
translation	transformers	### opus-mt-fr-de * source languages: fr * target languages: de * OPUS readme: [fr-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| euelections_dev2019.transformer-align.fr \| 26.4 \| 0.571 \| \| newssyscomb2009.fr.de \| 22.1 \| 0.524 \| \| news-test2008.fr.de \| 22.1 \| 0.524 \| \| newstest2009.fr.de \| 21.6 \| 0.520 \| \| newstest2010.fr.de \| 22.6 \| 0.527 \| \| newstest2011.fr.de \| 21.5 \| 0.518 \| \| newstest2012.fr.de \| 22.4 \| 0.516 \| \| newstest2013.fr.de \| 24.2 \| 0.532 \| \| newstest2019-frde.fr.de \| 27.9 \| 0.595 \| \| Tatoeba.fr.de \| 49.1 \| 0.676 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-de	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "fr", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-de * source languages: fr * target languages: de * OPUS readme: fr-de * 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: 26.4, chr-F: 0.571 testset: URL, BLEU: 22.1, chr-F: 0.524 testset: URL, BLEU: 22.1, chr-F: 0.524 testset: URL, BLEU: 21.6, chr-F: 0.520 testset: URL, BLEU: 22.6, chr-F: 0.527 testset: URL, BLEU: 21.5, chr-F: 0.518 testset: URL, BLEU: 22.4, chr-F: 0.516 testset: URL, BLEU: 24.2, chr-F: 0.532 testset: URL, BLEU: 27.9, chr-F: 0.595 testset: URL, BLEU: 49.1, chr-F: 0.676	[ "### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-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: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-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: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676" ]	[ 53, 321 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-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: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676" ]
translation	transformers	### opus-mt-fr-ee * source languages: fr * target languages: ee * OPUS readme: [fr-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ee \| 26.3 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ee	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ee", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ee * source languages: fr * target languages: ee * OPUS readme: fr-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: 26.3, chr-F: 0.466	[ "### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-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: 26.3, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-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: 26.3, chr-F: 0.466" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-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: 26.3, chr-F: 0.466" ]
translation	transformers	### opus-mt-fr-efi * source languages: fr * target languages: efi * OPUS readme: [fr-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.efi \| 26.9 \| 0.462 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-efi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "efi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-efi * source languages: fr * target languages: efi * OPUS readme: fr-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: 26.9, chr-F: 0.462	[ "### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-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: 26.9, chr-F: 0.462" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-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: 26.9, chr-F: 0.462" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-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: 26.9, chr-F: 0.462" ]
translation	transformers	### opus-mt-fr-el * source languages: fr * target languages: el * OPUS readme: [fr-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.el \| 56.2 \| 0.719 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-el	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "el", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-el * source languages: fr * target languages: el * OPUS readme: fr-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: 56.2, chr-F: 0.719	[ "### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-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: 56.2, chr-F: 0.719" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-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: 56.2, chr-F: 0.719" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-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: 56.2, chr-F: 0.719" ]
translation	transformers	### opus-mt-fr-en * source languages: fr * target languages: en * OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-en/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdiscussdev2015-enfr.fr.en \| 33.1 \| 0.580 \| \| newsdiscusstest2015-enfr.fr.en \| 38.7 \| 0.614 \| \| newssyscomb2009.fr.en \| 30.3 \| 0.569 \| \| news-test2008.fr.en \| 26.2 \| 0.542 \| \| newstest2009.fr.en \| 30.2 \| 0.570 \| \| newstest2010.fr.en \| 32.2 \| 0.590 \| \| newstest2011.fr.en \| 33.0 \| 0.597 \| \| newstest2012.fr.en \| 32.8 \| 0.591 \| \| newstest2013.fr.en \| 33.9 \| 0.591 \| \| newstest2014-fren.fr.en \| 37.8 \| 0.633 \| \| Tatoeba.fr.en \| 57.5 \| 0.720 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-en	null	[ "transformers", "pytorch", "tf", "jax", "marian", "text2text-generation", "translation", "fr", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-en * source languages: fr * target languages: en * OPUS readme: fr-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: 33.1, chr-F: 0.580 testset: URL, BLEU: 38.7, chr-F: 0.614 testset: URL, BLEU: 30.3, chr-F: 0.569 testset: URL, BLEU: 26.2, chr-F: 0.542 testset: URL, BLEU: 30.2, chr-F: 0.570 testset: URL, BLEU: 32.2, chr-F: 0.590 testset: URL, BLEU: 33.0, chr-F: 0.597 testset: URL, BLEU: 32.8, chr-F: 0.591 testset: URL, BLEU: 33.9, chr-F: 0.591 testset: URL, BLEU: 37.8, chr-F: 0.633 testset: URL, BLEU: 57.5, chr-F: 0.720	[ "### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-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: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720" ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-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: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720" ]	[ 53, 332 ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-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: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720" ]
translation	transformers	### opus-mt-fr-eo * source languages: fr * target languages: eo * OPUS readme: [fr-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-eo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.eo \| 52.0 \| 0.695 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-eo * source languages: fr * target languages: eo * OPUS readme: fr-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: 52.0, chr-F: 0.695	[ "### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-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: 52.0, chr-F: 0.695" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-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: 52.0, chr-F: 0.695" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-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: 52.0, chr-F: 0.695" ]
translation	transformers	### opus-mt-fr-es * source languages: fr * target languages: es * OPUS readme: [fr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.fr.es \| 34.3 \| 0.601 \| \| news-test2008.fr.es \| 32.5 \| 0.583 \| \| newstest2009.fr.es \| 31.6 \| 0.586 \| \| newstest2010.fr.es \| 36.5 \| 0.616 \| \| newstest2011.fr.es \| 38.3 \| 0.622 \| \| newstest2012.fr.es \| 38.1 \| 0.619 \| \| newstest2013.fr.es \| 34.0 \| 0.587 \| \| Tatoeba.fr.es \| 53.2 \| 0.709 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-es * source languages: fr * target languages: es * OPUS readme: fr-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 34.3, chr-F: 0.601 testset: URL, BLEU: 32.5, chr-F: 0.583 testset: URL, BLEU: 31.6, chr-F: 0.586 testset: URL, BLEU: 36.5, chr-F: 0.616 testset: URL, BLEU: 38.3, chr-F: 0.622 testset: URL, BLEU: 38.1, chr-F: 0.619 testset: URL, BLEU: 34.0, chr-F: 0.587 testset: URL, BLEU: 53.2, chr-F: 0.709	[ "### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709" ]	[ 51, 267 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709" ]
translation	transformers	### opus-mt-fr-fj * source languages: fr * target languages: fj * OPUS readme: [fr-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.fj \| 27.4 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-fj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "fj", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-fj * source languages: fr * target languages: fj * OPUS readme: fr-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: 27.4, chr-F: 0.487	[ "### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-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: 27.4, chr-F: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-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: 27.4, chr-F: 0.487" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-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: 27.4, chr-F: 0.487" ]
translation	transformers	### opus-mt-fr-gaa * source languages: fr * target languages: gaa * OPUS readme: [fr-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.gaa \| 27.8 \| 0.473 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-gaa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "gaa", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-gaa * source languages: fr * target languages: gaa * OPUS readme: fr-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: 27.8, chr-F: 0.473	[ "### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-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: 27.8, chr-F: 0.473" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-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: 27.8, chr-F: 0.473" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-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: 27.8, chr-F: 0.473" ]
translation	transformers	### opus-mt-fr-gil * source languages: fr * target languages: gil * OPUS readme: [fr-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.gil \| 27.9 \| 0.499 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-gil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "gil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-gil * source languages: fr * target languages: gil * OPUS readme: fr-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: 27.9, chr-F: 0.499	[ "### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-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: 27.9, chr-F: 0.499" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-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: 27.9, chr-F: 0.499" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-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: 27.9, chr-F: 0.499" ]
translation	transformers	### opus-mt-fr-guw * source languages: fr * target languages: guw * OPUS readme: [fr-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.guw \| 31.4 \| 0.505 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-guw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "guw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-guw * source languages: fr * target languages: guw * OPUS readme: fr-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: 31.4, chr-F: 0.505	[ "### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-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: 31.4, chr-F: 0.505" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-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: 31.4, chr-F: 0.505" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-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: 31.4, chr-F: 0.505" ]
translation	transformers	### opus-mt-fr-ha * source languages: fr * target languages: ha * OPUS readme: [fr-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ha \| 24.4 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ha	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ha", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ha * source languages: fr * target languages: ha * OPUS readme: fr-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: 24.4, chr-F: 0.447	[ "### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-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: 24.4, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-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: 24.4, chr-F: 0.447" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-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: 24.4, chr-F: 0.447" ]
translation	transformers	### fr-he * source group: French * target group: Hebrew * OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md) * model: transformer * source language(s): fra * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.heb \| 39.2 \| 0.598 \| ### System Info: - hf_name: fr-he - source_languages: fra - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'he'] - src_constituents: ('French', {'fra'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: fra-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt - src_alpha3: fra - tgt_alpha3: heb - chrF2_score: 0.598 - bleu: 39.2 - brevity_penalty: 1.0 - ref_len: 20655.0 - src_name: French - tgt_name: Hebrew - train_date: 2020-12-10 00:00:00 - src_alpha2: fr - tgt_alpha2: he - prefer_old: False - short_pair: fr-he - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-16:02	{"language": ["fr", "he"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-he	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "he" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fr-he * source group: French * target group: Hebrew * OPUS readme: fra-heb * model: transformer * source language(s): fra * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 39.2, chr-F: 0.598 ### System Info: * hf\_name: fr-he * source\_languages: fra * target\_languages: heb * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'he'] * src\_constituents: ('French', {'fra'}) * tgt\_constituents: ('Hebrew', {'heb'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: fra-heb * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: heb * chrF2\_score: 0.598 * bleu: 39.2 * brevity\_penalty: 1.0 * ref\_len: 20655.0 * src\_name: French * tgt\_name: Hebrew * train\_date: 2020-12-10 00:00:00 * src\_alpha2: fr * tgt\_alpha2: he * prefer\_old: False * short\_pair: fr-he * helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 * transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de * port\_machine: URL * port\_time: 2020-12-11-16:02	[ "### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\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: 39.2, chr-F: 0.598", "### System Info:\n\n\n* hf\\_name: fr-he\n* source\\_languages: fra\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'he']\n* src\\_constituents: ('French', {'fra'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: fra-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.598\n* bleu: 39.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 20655.0\n* src\\_name: French\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: fr\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: fr-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-16:02" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\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: 39.2, chr-F: 0.598", "### System Info:\n\n\n* hf\\_name: fr-he\n* source\\_languages: fra\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'he']\n* src\\_constituents: ('French', {'fra'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: fra-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.598\n* bleu: 39.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 20655.0\n* src\\_name: French\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: fr\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: fr-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-16:02" ]	[ 51, 129, 413 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\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: 39.2, chr-F: 0.598### System Info:\n\n\n* hf\\_name: fr-he\n* source\\_languages: fra\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'he']\n* src\\_constituents: ('French', {'fra'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: fra-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.598\n* bleu: 39.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 20655.0\n* src\\_name: French\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: fr\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: fr-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-16:02" ]
translation	transformers	### opus-mt-fr-hil * source languages: fr * target languages: hil * OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.hil \| 34.7 \| 0.559 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-hil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "hil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-hil * source languages: fr * target languages: hil * OPUS readme: fr-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: 34.7, chr-F: 0.559	[ "### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-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: 34.7, chr-F: 0.559" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-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: 34.7, chr-F: 0.559" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-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: 34.7, chr-F: 0.559" ]
translation	transformers	### opus-mt-fr-ho * source languages: fr * target languages: ho * OPUS readme: [fr-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ho \| 25.4 \| 0.480 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ho	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ho", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ho * source languages: fr * target languages: ho * OPUS readme: fr-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: 25.4, chr-F: 0.480	[ "### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-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: 25.4, chr-F: 0.480" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-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: 25.4, chr-F: 0.480" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-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: 25.4, chr-F: 0.480" ]
translation	transformers	### opus-mt-fr-hr * source languages: fr * target languages: hr * OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.hr \| 20.7 \| 0.442 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-hr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "hr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-hr * source languages: fr * target languages: hr * OPUS readme: fr-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: 20.7, chr-F: 0.442	[ "### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-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: 20.7, chr-F: 0.442" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-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: 20.7, chr-F: 0.442" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-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: 20.7, chr-F: 0.442" ]
translation	transformers	### opus-mt-fr-ht * source languages: fr * target languages: ht * OPUS readme: [fr-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ht \| 29.2 \| 0.461 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ht	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ht", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ht * source languages: fr * target languages: ht * OPUS readme: fr-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: 29.2, chr-F: 0.461	[ "### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-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: 29.2, chr-F: 0.461" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-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: 29.2, chr-F: 0.461" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-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: 29.2, chr-F: 0.461" ]
translation	transformers	### opus-mt-fr-hu * source languages: fr * target languages: hu * OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/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/fr-hu/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.hu \| 41.3 \| 0.629 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-hu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-hu * source languages: fr * target languages: hu * OPUS readme: fr-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: 41.3, chr-F: 0.629	[ "### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-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: 41.3, chr-F: 0.629" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-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: 41.3, chr-F: 0.629" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-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: 41.3, chr-F: 0.629" ]
translation	transformers	### opus-mt-fr-id * source languages: fr * target languages: id * OPUS readme: [fr-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.id \| 37.2 \| 0.636 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-id	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "id", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-id * source languages: fr * target languages: id * OPUS readme: fr-id * 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: 37.2, chr-F: 0.636	[ "### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636" ]
translation	transformers	### opus-mt-fr-ig * source languages: fr * target languages: ig * OPUS readme: [fr-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ig \| 29.0 \| 0.445 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ig	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ig", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ig * source languages: fr * target languages: ig * OPUS readme: fr-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: 29.0, chr-F: 0.445	[ "### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-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: 29.0, chr-F: 0.445" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-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: 29.0, chr-F: 0.445" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-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: 29.0, chr-F: 0.445" ]
translation	transformers	### opus-mt-fr-ilo * source languages: fr * target languages: ilo * OPUS readme: [fr-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-ilo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ilo \| 30.6 \| 0.528 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ilo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ilo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ilo * source languages: fr * target languages: ilo * OPUS readme: fr-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: 30.6, chr-F: 0.528	[ "### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-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: 30.6, chr-F: 0.528" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-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: 30.6, chr-F: 0.528" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-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: 30.6, chr-F: 0.528" ]
translation	transformers	### opus-mt-fr-iso * source languages: fr * target languages: iso * OPUS readme: [fr-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.iso \| 26.7 \| 0.429 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-iso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "iso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-iso * source languages: fr * target languages: iso * OPUS readme: fr-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: 26.7, chr-F: 0.429	[ "### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-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: 26.7, chr-F: 0.429" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-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: 26.7, chr-F: 0.429" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-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: 26.7, chr-F: 0.429" ]
translation	transformers	### opus-mt-fr-kg * source languages: fr * target languages: kg * OPUS readme: [fr-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.kg \| 30.4 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-kg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "kg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-kg * source languages: fr * target languages: kg * OPUS readme: fr-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: 30.4, chr-F: 0.523	[ "### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-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: 30.4, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-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: 30.4, chr-F: 0.523" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-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: 30.4, chr-F: 0.523" ]
translation	transformers	### opus-mt-fr-kqn * source languages: fr * target languages: kqn * OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.kqn \| 23.3 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-kqn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "kqn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-kqn * source languages: fr * target languages: kqn * OPUS readme: fr-kqn * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.469	[ "### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469" ]
translation	transformers	### opus-mt-fr-kwy * source languages: fr * target languages: kwy * OPUS readme: [fr-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kwy/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.kwy \| 22.5 \| 0.428 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-kwy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "kwy", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-kwy * source languages: fr * target languages: kwy * OPUS readme: fr-kwy * 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: 22.5, chr-F: 0.428	[ "### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428" ]
translation	transformers	### opus-mt-fr-lg * source languages: fr * target languages: lg * OPUS readme: [fr-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.lg \| 21.7 \| 0.454 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-lg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "lg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-lg * source languages: fr * target languages: lg * OPUS readme: fr-lg * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.7, chr-F: 0.454	[ "### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454" ]
translation	transformers	### opus-mt-fr-ln * source languages: fr * target languages: ln * OPUS readme: [fr-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ln \| 30.5 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ln	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ln", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ln * source languages: fr * target languages: ln * OPUS readme: fr-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: 30.5, chr-F: 0.527	[ "### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-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: 30.5, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-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: 30.5, chr-F: 0.527" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-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: 30.5, chr-F: 0.527" ]
translation	transformers	### opus-mt-fr-loz * source languages: fr * target languages: loz * OPUS readme: [fr-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.loz \| 30.0 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-loz	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "loz", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-loz * source languages: fr * target languages: loz * OPUS readme: fr-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: 30.0, chr-F: 0.498	[ "### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-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: 30.0, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-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: 30.0, chr-F: 0.498" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-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: 30.0, chr-F: 0.498" ]
translation	transformers	### opus-mt-fr-lu * source languages: fr * target languages: lu * OPUS readme: [fr-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lu/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/fr-lu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.lu \| 25.5 \| 0.471 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-lu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "lu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-lu * source languages: fr * target languages: lu * OPUS readme: fr-lu * 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: 0.471	[ "### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.471" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.471" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.471" ]
translation	transformers	### opus-mt-fr-lua * source languages: fr * target languages: lua * OPUS readme: [fr-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.lua \| 27.3 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-lua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "lua", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-lua * source languages: fr * target languages: lua * OPUS readme: fr-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: 27.3, chr-F: 0.496	[ "### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-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: 27.3, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-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: 27.3, chr-F: 0.496" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-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: 27.3, chr-F: 0.496" ]
translation	transformers	### opus-mt-fr-lue * source languages: fr * target languages: lue * OPUS readme: [fr-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lue/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.lue \| 23.1 \| 0.485 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-lue	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "lue", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-lue * source languages: fr * target languages: lue * OPUS readme: fr-lue * 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: 0.485	[ "### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.485" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.485" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.485" ]
translation	transformers	### opus-mt-fr-lus * source languages: fr * target languages: lus * OPUS readme: [fr-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.lus \| 25.5 \| 0.455 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-lus	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "lus", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-lus * source languages: fr * target languages: lus * OPUS readme: fr-lus * 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: 0.455	[ "### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.455" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.455" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.455" ]
translation	transformers	### opus-mt-fr-mfe * source languages: fr * target languages: mfe * OPUS readme: [fr-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mfe/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/fr-mfe/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.mfe \| 26.1 \| 0.451 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-mfe	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "mfe", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-mfe * source languages: fr * target languages: mfe * OPUS readme: fr-mfe * 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: 0.451	[ "### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.451" ]
translation	transformers	### opus-mt-fr-mh * source languages: fr * target languages: mh * OPUS readme: [fr-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mh/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/fr-mh/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.mh \| 21.7 \| 0.399 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-mh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "mh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-mh * source languages: fr * target languages: mh * OPUS readme: fr-mh * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.7, chr-F: 0.399	[ "### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399" ]
translation	transformers	### opus-mt-fr-mos * source languages: fr * target languages: mos * OPUS readme: [fr-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mos/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/fr-mos/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.mos \| 21.1 \| 0.353 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-mos	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "mos", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-mos * source languages: fr * target languages: mos * OPUS readme: fr-mos * 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: 21.1, chr-F: 0.353	[ "### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353" ]
translation	transformers	### fra-msa * source group: French * target group: Malay (macrolanguage) * OPUS readme: [fra-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md) * model: transformer-align * source language(s): fra * 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/fra-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.msa \| 35.3 \| 0.617 \| ### System Info: - hf_name: fra-msa - source_languages: fra - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'ms'] - src_constituents: {'fra'} - 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/fra-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: msa - short_pair: fr-ms - chrF2_score: 0.617 - bleu: 35.3 - brevity_penalty: 0.978 - ref_len: 6696.0 - src_name: French - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: ms - prefer_old: False - long_pair: fra-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "ms"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ms	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "ms" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-msa * source group: French * target group: Malay (macrolanguage) * OPUS readme: fra-msa * model: transformer-align * source language(s): fra * 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: 35.3, chr-F: 0.617 ### System Info: * hf\_name: fra-msa * source\_languages: fra * target\_languages: msa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'ms'] * src\_constituents: {'fra'} * 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: fra * tgt\_alpha3: msa * short\_pair: fr-ms * chrF2\_score: 0.617 * bleu: 35.3 * brevity\_penalty: 0.978 * ref\_len: 6696.0 * src\_name: French * tgt\_name: Malay (macrolanguage) * train\_date: 2020-06-17 * src\_alpha2: fr * tgt\_alpha2: ms * prefer\_old: False * long\_pair: fra-msa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\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: 35.3, chr-F: 0.617", "### System Info:\n\n\n* hf\\_name: fra-msa\n* source\\_languages: fra\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ms']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: msa\n* short\\_pair: fr-ms\n* chrF2\\_score: 0.617\n* bleu: 35.3\n* brevity\\_penalty: 0.978\n* ref\\_len: 6696.0\n* src\\_name: French\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: fra-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 #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\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: 35.3, chr-F: 0.617", "### System Info:\n\n\n* hf\\_name: fra-msa\n* source\\_languages: fra\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ms']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: msa\n* short\\_pair: fr-ms\n* chrF2\\_score: 0.617\n* bleu: 35.3\n* brevity\\_penalty: 0.978\n* ref\\_len: 6696.0\n* src\\_name: French\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: fra-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 173, 434 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\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: 35.3, chr-F: 0.617### System Info:\n\n\n* hf\\_name: fra-msa\n* source\\_languages: fra\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ms']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: msa\n* short\\_pair: fr-ms\n* chrF2\\_score: 0.617\n* bleu: 35.3\n* brevity\\_penalty: 0.978\n* ref\\_len: 6696.0\n* src\\_name: French\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: fra-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-mt * source languages: fr * target languages: mt * OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.mt \| 28.7 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-mt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "mt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-mt * source languages: fr * target languages: mt * OPUS readme: fr-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: 28.7, chr-F: 0.466	[ "### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-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: 28.7, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-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: 28.7, chr-F: 0.466" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-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: 28.7, chr-F: 0.466" ]
translation	transformers	### opus-mt-fr-niu * source languages: fr * target languages: niu * OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.niu \| 34.5 \| 0.537 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-niu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "niu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-niu * source languages: fr * target languages: niu * OPUS readme: fr-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: 34.5, chr-F: 0.537	[ "### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-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: 34.5, chr-F: 0.537" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-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: 34.5, chr-F: 0.537" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-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: 34.5, chr-F: 0.537" ]
translation	transformers	### fra-nor * source group: French * target group: Norwegian * OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md) * model: transformer-align * source language(s): fra * 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/fra-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.nor \| 36.1 \| 0.555 \| ### System Info: - hf_name: fra-nor - source_languages: fra - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'no'] - src_constituents: {'fra'} - 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/fra-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: nor - short_pair: fr-no - chrF2_score: 0.555 - bleu: 36.1 - brevity_penalty: 0.981 - ref_len: 3089.0 - src_name: French - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: no - prefer_old: False - long_pair: fra-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", false], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-no	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "no" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-nor * source group: French * target group: Norwegian * OPUS readme: fra-nor * model: transformer-align * source language(s): fra * 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: 36.1, chr-F: 0.555 ### System Info: * hf\_name: fra-nor * source\_languages: fra * target\_languages: nor * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'no'] * src\_constituents: {'fra'} * tgt\_constituents: {'nob', 'nno'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: nor * short\_pair: fr-no * chrF2\_score: 0.555 * bleu: 36.1 * brevity\_penalty: 0.981 * ref\_len: 3089.0 * src\_name: French * tgt\_name: Norwegian * train\_date: 2020-06-17 * src\_alpha2: fr * tgt\_alpha2: no * prefer\_old: False * long\_pair: fra-nor * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\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: 36.1, chr-F: 0.555", "### System Info:\n\n\n* hf\\_name: fra-nor\n* source\\_languages: fra\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'no']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: nor\n* short\\_pair: fr-no\n* chrF2\\_score: 0.555\n* bleu: 36.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 3089.0\n* src\\_name: French\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fra-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 #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\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: 36.1, chr-F: 0.555", "### System Info:\n\n\n* hf\\_name: fra-nor\n* source\\_languages: fra\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'no']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: nor\n* short\\_pair: fr-no\n* chrF2\\_score: 0.555\n* bleu: 36.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 3089.0\n* src\\_name: French\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fra-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 160, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\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: 36.1, chr-F: 0.555### System Info:\n\n\n* hf\\_name: fra-nor\n* source\\_languages: fra\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'no']\n* src\\_constituents: {'fra'}\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: fra\n* tgt\\_alpha3: nor\n* short\\_pair: fr-no\n* chrF2\\_score: 0.555\n* bleu: 36.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 3089.0\n* src\\_name: French\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fra-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-nso * source languages: fr * target languages: nso * OPUS readme: [fr-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.nso \| 33.3 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-nso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "nso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-nso * source languages: fr * target languages: nso * OPUS readme: fr-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: 33.3, chr-F: 0.527	[ "### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-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: 33.3, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-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: 33.3, chr-F: 0.527" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-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: 33.3, chr-F: 0.527" ]
translation	transformers	### opus-mt-fr-ny * source languages: fr * target languages: ny * OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-ny/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ny \| 23.2 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ny	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ny", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ny * source languages: fr * target languages: ny * OPUS readme: fr-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: 23.2, chr-F: 0.481	[ "### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-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: 23.2, chr-F: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-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: 23.2, chr-F: 0.481" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-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: 23.2, chr-F: 0.481" ]
translation	transformers	### opus-mt-fr-pag * source languages: fr * target languages: pag * OPUS readme: [fr-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-pag/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.pag \| 27.0 \| 0.486 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-pag	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "fr", "pag", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-pag * source languages: fr * target languages: pag * OPUS readme: fr-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: 27.0, chr-F: 0.486	[ "### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-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: 27.0, chr-F: 0.486" ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-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: 27.0, chr-F: 0.486" ]	[ 56, 109 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-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: 27.0, chr-F: 0.486" ]
translation	transformers	### opus-mt-fr-pap * source languages: fr * target languages: pap * OPUS readme: [fr-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.pap \| 27.8 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-pap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "pap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-pap * source languages: fr * target languages: pap * OPUS readme: fr-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: 27.8, chr-F: 0.464	[ "### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-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: 27.8, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-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: 27.8, chr-F: 0.464" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-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: 27.8, chr-F: 0.464" ]
translation	transformers	### opus-mt-fr-pis * source languages: fr * target languages: pis * OPUS readme: [fr-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.pis \| 29.0 \| 0.486 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-pis	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "pis", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-pis * source languages: fr * target languages: pis * OPUS readme: fr-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: 29.0, chr-F: 0.486	[ "### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-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: 29.0, chr-F: 0.486" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-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: 29.0, chr-F: 0.486" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-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: 29.0, chr-F: 0.486" ]
translation	transformers	### opus-mt-fr-pl * source languages: fr * target languages: pl * OPUS readme: [fr-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.pl \| 40.7 \| 0.625 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-pl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "pl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-pl * source languages: fr * target languages: pl * OPUS readme: fr-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: 40.7, chr-F: 0.625	[ "### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-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: 40.7, chr-F: 0.625" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-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: 40.7, chr-F: 0.625" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-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: 40.7, chr-F: 0.625" ]
translation	transformers	### opus-mt-fr-pon * source languages: fr * target languages: pon * OPUS readme: [fr-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.pon \| 23.9 \| 0.458 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-pon	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "pon", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-pon * source languages: fr * target languages: pon * OPUS readme: fr-pon * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.9, chr-F: 0.458	[ "### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458" ]
translation	transformers	### opus-mt-fr-rnd * source languages: fr * target languages: rnd * OPUS readme: [fr-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rnd/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.rnd \| 21.8 \| 0.431 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-rnd	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "rnd", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-rnd * source languages: fr * target languages: rnd * OPUS readme: fr-rnd * 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: 0.431	[ "### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.431" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.431" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.431" ]
translation	transformers	### opus-mt-fr-ro * source languages: fr * target languages: ro * OPUS readme: [fr-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.ro \| 42.1 \| 0.640 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ro	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ro", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ro * source languages: fr * target languages: ro * OPUS readme: fr-ro * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 42.1, chr-F: 0.640	[ "### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640" ]
translation	transformers	### opus-mt-fr-ru * source languages: fr * target languages: ru * OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.ru \| 37.9 \| 0.585 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ru * source languages: fr * target languages: ru * OPUS readme: fr-ru * 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: 0.585	[ "### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.585" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.585" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.585" ]
translation	transformers	### opus-mt-fr-run * source languages: fr * target languages: run * OPUS readme: [fr-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-run/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/fr-run/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.run \| 23.8 \| 0.482 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-run	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "run", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-run * source languages: fr * target languages: run * OPUS readme: fr-run * 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: 23.8, chr-F: 0.482	[ "### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482" ]
translation	transformers	### opus-mt-fr-rw * source languages: fr * target languages: rw * OPUS readme: [fr-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.rw \| 25.5 \| 0.483 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-rw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "rw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-rw * source languages: fr * target languages: rw * OPUS readme: fr-rw * 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: 0.483	[ "### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.483" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.483" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.483" ]
translation	transformers	### opus-mt-fr-sg * source languages: fr * target languages: sg * OPUS readme: [fr-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sg/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/fr-sg/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.sg \| 29.7 \| 0.473 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sg * source languages: fr * target languages: sg * OPUS readme: fr-sg * 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: 29.7, chr-F: 0.473	[ "### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473" ]
translation	transformers	### opus-mt-fr-sk * source languages: fr * target languages: sk * OPUS readme: [fr-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.sk \| 24.9 \| 0.456 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sk * source languages: fr * target languages: sk * OPUS readme: fr-sk * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.9, chr-F: 0.456	[ "### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456" ]
translation	transformers	### opus-mt-fr-sl * source languages: fr * target languages: sl * OPUS readme: [fr-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.sl \| 20.1 \| 0.433 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sl * source languages: fr * target languages: sl * OPUS readme: fr-sl * 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: 20.1, chr-F: 0.433	[ "### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433" ]
translation	transformers	### opus-mt-fr-sm * source languages: fr * target languages: sm * OPUS readme: [fr-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.sm \| 28.8 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sm	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sm", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sm * source languages: fr * target languages: sm * OPUS readme: fr-sm * 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: 28.8, chr-F: 0.474	[ "### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474" ]
translation	transformers	### opus-mt-fr-sn * source languages: fr * target languages: sn * OPUS readme: [fr-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.sn \| 23.4 \| 0.507 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sn * source languages: fr * target languages: sn * OPUS readme: fr-sn * 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: 23.4, chr-F: 0.507	[ "### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507" ]
translation	transformers	### opus-mt-fr-srn * source languages: fr * target languages: srn * OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.srn \| 27.4 \| 0.459 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-srn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "srn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-srn * source languages: fr * target languages: srn * OPUS readme: fr-srn * 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: 0.459	[ "### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.459" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.459" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.459" ]
translation	transformers	### opus-mt-fr-st * source languages: fr * target languages: st * OPUS readme: [fr-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.st \| 34.6 \| 0.540 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-st	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "st", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-st * source languages: fr * target languages: st * OPUS readme: fr-st * 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: 0.540	[ "### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.540" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.540" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.540" ]
translation	transformers	### opus-mt-fr-sv * source languages: fr * target languages: sv * OPUS readme: [fr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.sv \| 60.1 \| 0.744 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-sv * source languages: fr * target languages: sv * OPUS readme: fr-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: 60.1, chr-F: 0.744	[ "### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-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: 60.1, chr-F: 0.744" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-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: 60.1, chr-F: 0.744" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-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: 60.1, chr-F: 0.744" ]
translation	transformers	### opus-mt-fr-swc * source languages: fr * target languages: swc * OPUS readme: [fr-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.swc \| 28.2 \| 0.499 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-swc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "swc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-swc * source languages: fr * target languages: swc * OPUS readme: fr-swc * 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: 28.2, chr-F: 0.499	[ "### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499" ]
translation	transformers	### opus-mt-fr-tiv * source languages: fr * target languages: tiv * OPUS readme: [fr-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tiv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tiv \| 23.5 \| 0.406 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tiv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tiv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tiv * source languages: fr * target languages: tiv * OPUS readme: fr-tiv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.5, chr-F: 0.406	[ "### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406" ]
translation	transformers	### fra-tgl * source group: French * target group: Tagalog * OPUS readme: [fra-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md) * model: transformer-align * source language(s): fra * target language(s): tgl_Latn * 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/fra-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.tgl \| 24.1 \| 0.536 \| ### System Info: - hf_name: fra-tgl - source_languages: fra - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'tl'] - src_constituents: {'fra'} - tgt_constituents: {'tgl_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: tgl - short_pair: fr-tl - chrF2_score: 0.536 - bleu: 24.1 - brevity_penalty: 1.0 - ref_len: 5778.0 - src_name: French - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: tl - prefer_old: False - long_pair: fra-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "tl"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "tl" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-tgl * source group: French * target group: Tagalog * OPUS readme: fra-tgl * model: transformer-align * source language(s): fra * target language(s): tgl\_Latn * 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: 24.1, chr-F: 0.536 ### System Info: * hf\_name: fra-tgl * source\_languages: fra * target\_languages: tgl * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'tl'] * src\_constituents: {'fra'} * tgt\_constituents: {'tgl\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: tgl * short\_pair: fr-tl * chrF2\_score: 0.536 * bleu: 24.1 * brevity\_penalty: 1.0 * ref\_len: 5778.0 * src\_name: French * tgt\_name: Tagalog * train\_date: 2020-06-17 * src\_alpha2: fr * tgt\_alpha2: tl * prefer\_old: False * long\_pair: fra-tgl * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\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: 24.1, chr-F: 0.536", "### System Info:\n\n\n* hf\\_name: fra-tgl\n* source\\_languages: fra\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'tl']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'tgl\\_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: fra\n* tgt\\_alpha3: tgl\n* short\\_pair: fr-tl\n* chrF2\\_score: 0.536\n* bleu: 24.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 5778.0\n* src\\_name: French\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: fra-tgl\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 #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\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: 24.1, chr-F: 0.536", "### System Info:\n\n\n* hf\\_name: fra-tgl\n* source\\_languages: fra\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'tl']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'tgl\\_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: fra\n* tgt\\_alpha3: tgl\n* short\\_pair: fr-tl\n* chrF2\\_score: 0.536\n* bleu: 24.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 5778.0\n* src\\_name: French\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: fra-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 141, 406 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\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: 24.1, chr-F: 0.536### System Info:\n\n\n* hf\\_name: fra-tgl\n* source\\_languages: fra\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'tl']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'tgl\\_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: fra\n* tgt\\_alpha3: tgl\n* short\\_pair: fr-tl\n* chrF2\\_score: 0.536\n* bleu: 24.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 5778.0\n* src\\_name: French\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: fra-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-tll * source languages: fr * target languages: tll * OPUS readme: [fr-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tll \| 24.6 \| 0.467 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tll	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tll", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tll * source languages: fr * target languages: tll * OPUS readme: fr-tll * 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: 0.467	[ "### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.467" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.467" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.467" ]
translation	transformers	### opus-mt-fr-tn * source languages: fr * target languages: tn * OPUS readme: [fr-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tn \| 33.1 \| 0.525 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tn", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tn * source languages: fr * target languages: tn * OPUS readme: fr-tn * 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: 33.1, chr-F: 0.525	[ "### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525" ]
translation	transformers	### opus-mt-fr-to * source languages: fr * target languages: to * OPUS readme: [fr-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.to \| 37.0 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-to	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "to", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-to * source languages: fr * target languages: to * OPUS readme: fr-to * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.0, chr-F: 0.518	[ "### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518" ]
translation	transformers	### opus-mt-fr-tpi * source languages: fr * target languages: tpi * OPUS readme: [fr-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tpi/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/fr-tpi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tpi \| 30.0 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tpi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tpi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tpi * source languages: fr * target languages: tpi * OPUS readme: fr-tpi * 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: 0.487	[ "### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.487" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.487" ]
translation	transformers	### opus-mt-fr-ts * source languages: fr * target languages: ts * OPUS readme: [fr-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ts/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ts \| 31.4 \| 0.525 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ts	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ts", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ts * source languages: fr * target languages: ts * OPUS readme: fr-ts * 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: 31.4, chr-F: 0.525	[ "### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525" ]
translation	transformers	### opus-mt-fr-tum * source languages: fr * target languages: tum * OPUS readme: [fr-tum](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tum/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tum \| 23.0 \| 0.458 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tum	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tum", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tum * source languages: fr * target languages: tum * OPUS readme: fr-tum * 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: 23.0, chr-F: 0.458	[ "### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458" ]
translation	transformers	### opus-mt-fr-tvl * source languages: fr * target languages: tvl * OPUS readme: [fr-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tvl \| 32.6 \| 0.497 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tvl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tvl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tvl * source languages: fr * target languages: tvl * OPUS readme: fr-tvl * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.6, chr-F: 0.497	[ "### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497" ]
translation	transformers	### opus-mt-fr-tw * source languages: fr * target languages: tw * OPUS readme: [fr-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.tw \| 27.9 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-tw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "tw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-tw * source languages: fr * target languages: tw * OPUS readme: fr-tw * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.9, chr-F: 0.469	[ "### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469" ]
translation	transformers	### opus-mt-fr-ty * source languages: fr * target languages: ty * OPUS readme: [fr-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ty \| 39.6 \| 0.561 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ty	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ty", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ty * source languages: fr * target languages: ty * OPUS readme: fr-ty * 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: 39.6, chr-F: 0.561	[ "### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.561" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.561" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.561" ]
translation	transformers	### opus-mt-fr-uk * source languages: fr * target languages: uk * OPUS readme: [fr-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-uk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fr.uk \| 39.4 \| 0.581 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-uk * source languages: fr * target languages: uk * OPUS readme: fr-uk * 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: 39.4, chr-F: 0.581	[ "### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581" ]
translation	transformers	### opus-mt-fr-ve * source languages: fr * target languages: ve * OPUS readme: [fr-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ve/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/fr-ve/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.ve \| 26.3 \| 0.481 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-ve	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "ve", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-ve * source languages: fr * target languages: ve * OPUS readme: fr-ve * 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: 0.481	[ "### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.481" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.481" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.481" ]
translation	transformers	### fra-vie * source group: French * target group: Vietnamese * OPUS readme: [fra-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md) * model: transformer-align * source language(s): fra * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fra.vie \| 31.1 \| 0.486 \| ### System Info: - hf_name: fra-vie - source_languages: fra - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'vi'] - src_constituents: {'fra'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: vie - short_pair: fr-vi - chrF2_score: 0.486 - bleu: 31.1 - brevity_penalty: 0.985 - ref_len: 13219.0 - src_name: French - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: vi - prefer_old: False - long_pair: fra-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["fr", "vi"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-vi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "vi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "fr", "vi" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### fra-vie * source group: French * target group: Vietnamese * OPUS readme: fra-vie * model: transformer-align * source language(s): fra * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.1, chr-F: 0.486 ### System Info: * hf\_name: fra-vie * source\_languages: fra * target\_languages: vie * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['fr', 'vi'] * src\_constituents: {'fra'} * tgt\_constituents: {'vie', 'vie\_Hani'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: fra * tgt\_alpha3: vie * short\_pair: fr-vi * chrF2\_score: 0.486 * bleu: 31.1 * brevity\_penalty: 0.985 * ref\_len: 13219.0 * src\_name: French * tgt\_name: Vietnamese * train\_date: 2020-06-17 * src\_alpha2: fr * tgt\_alpha2: vi * prefer\_old: False * long\_pair: fra-vie * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: fra-vie\n* source\\_languages: fra\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'vi']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: vie\n* short\\_pair: fr-vi\n* chrF2\\_score: 0.486\n* bleu: 31.1\n* brevity\\_penalty: 0.985\n* ref\\_len: 13219.0\n* src\\_name: French\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: fra-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486", "### System Info:\n\n\n* hf\\_name: fra-vie\n* source\\_languages: fra\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'vi']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: vie\n* short\\_pair: fr-vi\n* chrF2\\_score: 0.486\n* bleu: 31.1\n* brevity\\_penalty: 0.985\n* ref\\_len: 13219.0\n* src\\_name: French\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: fra-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 131, 399 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486### System Info:\n\n\n* hf\\_name: fra-vie\n* source\\_languages: fra\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'vi']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: vie\n* short\\_pair: fr-vi\n* chrF2\\_score: 0.486\n* bleu: 31.1\n* brevity\\_penalty: 0.985\n* ref\\_len: 13219.0\n* src\\_name: French\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: fra-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-fr-war * source languages: fr * target languages: war * OPUS readme: [fr-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.war \| 33.7 \| 0.538 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-war	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "war", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-war * source languages: fr * target languages: war * OPUS readme: fr-war * 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: 33.7, chr-F: 0.538	[ "### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538" ]
translation	transformers	### opus-mt-fr-wls * source languages: fr * target languages: wls * OPUS readme: [fr-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.wls \| 27.5 \| 0.478 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-wls	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "wls", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-wls * source languages: fr * target languages: wls * OPUS readme: fr-wls * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.5, chr-F: 0.478	[ "### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478" ]
translation	transformers	### opus-mt-fr-xh * source languages: fr * target languages: xh * OPUS readme: [fr-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.xh \| 25.1 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-xh	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "xh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-xh * source languages: fr * target languages: xh * OPUS readme: fr-xh * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.1, chr-F: 0.523	[ "### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523" ]
translation	transformers	### opus-mt-fr-yap * source languages: fr * target languages: yap * OPUS readme: [fr-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.yap \| 25.8 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-yap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "yap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-yap * source languages: fr * target languages: yap * OPUS readme: fr-yap * 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: 25.8, chr-F: 0.434	[ "### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434" ]
translation	transformers	### opus-mt-fr-yo * source languages: fr * target languages: yo * OPUS readme: [fr-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.yo \| 25.9 \| 0.415 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-yo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "yo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-yo * source languages: fr * target languages: yo * OPUS readme: fr-yo * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.9, chr-F: 0.415	[ "### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415" ]
translation	transformers	### opus-mt-fr-zne * source languages: fr * target languages: zne * OPUS readme: [fr-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-zne/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fr.zne \| 24.1 \| 0.460 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fr-zne	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fr", "zne", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fr-zne * source languages: fr * target languages: zne * OPUS readme: fr-zne * 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: 0.460	[ "### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.460" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.460" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.460" ]
translation	transformers	### opus-mt-fse-fi * source languages: fse * target languages: fi * OPUS readme: [fse-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fse-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fse.fi \| 90.2 \| 0.943 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-fse-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "fse", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-fse-fi * source languages: fse * target languages: fi * OPUS readme: fse-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: 90.2, chr-F: 0.943	[ "### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-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: 90.2, chr-F: 0.943" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-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: 90.2, chr-F: 0.943" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-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: 90.2, chr-F: 0.943" ]
translation	transformers	### gle-eng * source group: Irish * target group: English * OPUS readme: [gle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md) * model: transformer-align * source language(s): gle * 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/gle-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.gle.eng \| 51.6 \| 0.672 \| ### System Info: - hf_name: gle-eng - source_languages: gle - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ga', 'en'] - src_constituents: {'gle'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt - src_alpha3: gle - tgt_alpha3: eng - short_pair: ga-en - chrF2_score: 0.672 - bleu: 51.6 - brevity_penalty: 1.0 - ref_len: 11247.0 - src_name: Irish - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ga - tgt_alpha2: en - prefer_old: False - long_pair: gle-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ga", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ga-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ga", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ga", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gle-eng * source group: Irish * target group: English * OPUS readme: gle-eng * model: transformer-align * source language(s): gle * 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: 51.6, chr-F: 0.672 ### System Info: * hf\_name: gle-eng * source\_languages: gle * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ga', 'en'] * src\_constituents: {'gle'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gle * tgt\_alpha3: eng * short\_pair: ga-en * chrF2\_score: 0.672 * bleu: 51.6 * brevity\_penalty: 1.0 * ref\_len: 11247.0 * src\_name: Irish * tgt\_name: English * train\_date: 2020-06-17 * src\_alpha2: ga * tgt\_alpha2: en * prefer\_old: False * long\_pair: gle-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\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: 51.6, chr-F: 0.672", "### System Info:\n\n\n* hf\\_name: gle-eng\n* source\\_languages: gle\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ga', 'en']\n* src\\_constituents: {'gle'}\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: gle\n* tgt\\_alpha3: eng\n* short\\_pair: ga-en\n* chrF2\\_score: 0.672\n* bleu: 51.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 11247.0\n* src\\_name: Irish\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ga\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gle-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 #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\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: 51.6, chr-F: 0.672", "### System Info:\n\n\n* hf\\_name: gle-eng\n* source\\_languages: gle\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ga', 'en']\n* src\\_constituents: {'gle'}\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: gle\n* tgt\\_alpha3: eng\n* short\\_pair: ga-en\n* chrF2\\_score: 0.672\n* bleu: 51.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 11247.0\n* src\\_name: Irish\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ga\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gle-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 395 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\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: 51.6, chr-F: 0.672### System Info:\n\n\n* hf\\_name: gle-eng\n* source\\_languages: gle\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ga', 'en']\n* src\\_constituents: {'gle'}\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: gle\n* tgt\\_alpha3: eng\n* short\\_pair: ga-en\n* chrF2\\_score: 0.672\n* bleu: 51.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 11247.0\n* src\\_name: Irish\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ga\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gle-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-gaa-de * source languages: gaa * target languages: de * OPUS readme: [gaa-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-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/gaa-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.de \| 23.3 \| 0.438 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-de * source languages: gaa * target languages: de * OPUS readme: gaa-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.438	[ "### opus-mt-gaa-de\n\n\n* source languages: gaa\n* target languages: de\n* OPUS readme: gaa-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.438" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-de\n\n\n* source languages: gaa\n* target languages: de\n* OPUS readme: gaa-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.438" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-de\n\n\n* source languages: gaa\n* target languages: de\n* OPUS readme: gaa-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.438" ]
translation	transformers	### opus-mt-gaa-en * source languages: gaa * target languages: en * OPUS readme: [gaa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.en \| 41.0 \| 0.567 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-en * source languages: gaa * target languages: en * OPUS readme: gaa-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.0, chr-F: 0.567	[ "### opus-mt-gaa-en\n\n\n* source languages: gaa\n* target languages: en\n* OPUS readme: gaa-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.0, chr-F: 0.567" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-en\n\n\n* source languages: gaa\n* target languages: en\n* OPUS readme: gaa-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.0, chr-F: 0.567" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-en\n\n\n* source languages: gaa\n* target languages: en\n* OPUS readme: gaa-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.0, chr-F: 0.567" ]
translation	transformers	### opus-mt-gaa-es * source languages: gaa * target languages: es * OPUS readme: [gaa-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.es \| 28.6 \| 0.463 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-es * source languages: gaa * target languages: es * OPUS readme: gaa-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.6, chr-F: 0.463	[ "### opus-mt-gaa-es\n\n\n* source languages: gaa\n* target languages: es\n* OPUS readme: gaa-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.463" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-es\n\n\n* source languages: gaa\n* target languages: es\n* OPUS readme: gaa-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.463" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-es\n\n\n* source languages: gaa\n* target languages: es\n* OPUS readme: gaa-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.6, chr-F: 0.463" ]
translation	transformers	### opus-mt-gaa-fi * source languages: gaa * target languages: fi * OPUS readme: [gaa-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.fi \| 26.4 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-fi * source languages: gaa * target languages: fi * OPUS readme: gaa-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.4, chr-F: 0.498	[ "### opus-mt-gaa-fi\n\n\n* source languages: gaa\n* target languages: fi\n* OPUS readme: gaa-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-fi\n\n\n* source languages: gaa\n* target languages: fi\n* OPUS readme: gaa-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.498" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-fi\n\n\n* source languages: gaa\n* target languages: fi\n* OPUS readme: gaa-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.498" ]
translation	transformers	### opus-mt-gaa-fr * source languages: gaa * target languages: fr * OPUS readme: [gaa-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.fr \| 27.8 \| 0.455 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-fr * source languages: gaa * target languages: fr * OPUS readme: gaa-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.8, chr-F: 0.455	[ "### opus-mt-gaa-fr\n\n\n* source languages: gaa\n* target languages: fr\n* OPUS readme: gaa-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.455" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-fr\n\n\n* source languages: gaa\n* target languages: fr\n* OPUS readme: gaa-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.455" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-fr\n\n\n* source languages: gaa\n* target languages: fr\n* OPUS readme: gaa-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.455" ]
translation	transformers	### opus-mt-gaa-sv * source languages: gaa * target languages: sv * OPUS readme: [gaa-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gaa.sv \| 30.1 \| 0.489 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gaa-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gaa", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gaa #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gaa-sv * source languages: gaa * target languages: sv * OPUS readme: gaa-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: 30.1, chr-F: 0.489	[ "### opus-mt-gaa-sv\n\n\n* source languages: gaa\n* target languages: sv\n* OPUS readme: gaa-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: 30.1, chr-F: 0.489" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gaa-sv\n\n\n* source languages: gaa\n* target languages: sv\n* OPUS readme: gaa-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: 30.1, chr-F: 0.489" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gaa #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gaa-sv\n\n\n* source languages: gaa\n* target languages: sv\n* OPUS readme: gaa-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: 30.1, chr-F: 0.489" ]
translation	transformers	### gem-eng * source group: Germanic languages * target group: English * OPUS readme: [gem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md) * model: transformer * source language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-deueng.deu.eng \| 27.2 \| 0.542 \| \| news-test2008-deueng.deu.eng \| 26.3 \| 0.536 \| \| newstest2009-deueng.deu.eng \| 25.1 \| 0.531 \| \| newstest2010-deueng.deu.eng \| 28.3 \| 0.569 \| \| newstest2011-deueng.deu.eng \| 26.0 \| 0.543 \| \| newstest2012-deueng.deu.eng \| 26.8 \| 0.550 \| \| newstest2013-deueng.deu.eng \| 30.2 \| 0.570 \| \| newstest2014-deen-deueng.deu.eng \| 30.7 \| 0.574 \| \| newstest2015-ende-deueng.deu.eng \| 32.1 \| 0.581 \| \| newstest2016-ende-deueng.deu.eng \| 36.9 \| 0.624 \| \| newstest2017-ende-deueng.deu.eng \| 32.8 \| 0.588 \| \| newstest2018-ende-deueng.deu.eng \| 40.2 \| 0.640 \| \| newstest2019-deen-deueng.deu.eng \| 36.8 \| 0.614 \| \| Tatoeba-test.afr-eng.afr.eng \| 62.8 \| 0.758 \| \| Tatoeba-test.ang-eng.ang.eng \| 10.5 \| 0.262 \| \| Tatoeba-test.dan-eng.dan.eng \| 61.6 \| 0.754 \| \| Tatoeba-test.deu-eng.deu.eng \| 49.7 \| 0.665 \| \| Tatoeba-test.enm-eng.enm.eng \| 23.9 \| 0.491 \| \| Tatoeba-test.fao-eng.fao.eng \| 23.4 \| 0.446 \| \| Tatoeba-test.frr-eng.frr.eng \| 10.2 \| 0.184 \| \| Tatoeba-test.fry-eng.fry.eng \| 29.6 \| 0.486 \| \| Tatoeba-test.gos-eng.gos.eng \| 17.8 \| 0.352 \| \| Tatoeba-test.got-eng.got.eng \| 0.1 \| 0.058 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 15.3 \| 0.333 \| \| Tatoeba-test.isl-eng.isl.eng \| 51.0 \| 0.669 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 6.7 \| 0.266 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 33.0 \| 0.505 \| \| Tatoeba-test.multi.eng \| 54.0 \| 0.687 \| \| Tatoeba-test.nds-eng.nds.eng \| 33.6 \| 0.529 \| \| Tatoeba-test.nld-eng.nld.eng \| 58.9 \| 0.733 \| \| Tatoeba-test.non-eng.non.eng \| 37.3 \| 0.546 \| \| Tatoeba-test.nor-eng.nor.eng \| 54.9 \| 0.696 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 29.6 \| 0.446 \| \| Tatoeba-test.sco-eng.sco.eng \| 40.5 \| 0.581 \| \| Tatoeba-test.stq-eng.stq.eng \| 14.5 \| 0.361 \| \| Tatoeba-test.swe-eng.swe.eng \| 62.0 \| 0.745 \| \| Tatoeba-test.swg-eng.swg.eng \| 17.1 \| 0.334 \| \| Tatoeba-test.yid-eng.yid.eng \| 19.4 \| 0.400 \| ### System Info: - hf_name: gem-eng - source_languages: gem - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] - src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt - src_alpha3: gem - tgt_alpha3: eng - short_pair: gem-en - chrF2_score: 0.687 - bleu: 54.0 - brevity_penalty: 0.993 - ref_len: 72120.0 - src_name: Germanic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: gem - tgt_alpha2: en - prefer_old: False - long_pair: gem-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gem-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gem-eng * source group: Germanic languages * target group: English * OPUS readme: gem-eng * model: transformer * source language(s): afr ang\_Latn dan deu enm\_Latn fao frr fry gos got\_Goth gsw isl ksh ltz nds nld nno nob nob\_Hebr non\_Latn pdc sco stq swe swg yid * 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: 27.2, chr-F: 0.542 testset: URL, BLEU: 26.3, chr-F: 0.536 testset: URL, BLEU: 25.1, chr-F: 0.531 testset: URL, BLEU: 28.3, chr-F: 0.569 testset: URL, BLEU: 26.0, chr-F: 0.543 testset: URL, BLEU: 26.8, chr-F: 0.550 testset: URL, BLEU: 30.2, chr-F: 0.570 testset: URL, BLEU: 30.7, chr-F: 0.574 testset: URL, BLEU: 32.1, chr-F: 0.581 testset: URL, BLEU: 36.9, chr-F: 0.624 testset: URL, BLEU: 32.8, chr-F: 0.588 testset: URL, BLEU: 40.2, chr-F: 0.640 testset: URL, BLEU: 36.8, chr-F: 0.614 testset: URL, BLEU: 62.8, chr-F: 0.758 testset: URL, BLEU: 10.5, chr-F: 0.262 testset: URL, BLEU: 61.6, chr-F: 0.754 testset: URL, BLEU: 49.7, chr-F: 0.665 testset: URL, BLEU: 23.9, chr-F: 0.491 testset: URL, BLEU: 23.4, chr-F: 0.446 testset: URL, BLEU: 10.2, chr-F: 0.184 testset: URL, BLEU: 29.6, chr-F: 0.486 testset: URL, BLEU: 17.8, chr-F: 0.352 testset: URL, BLEU: 0.1, chr-F: 0.058 testset: URL, BLEU: 15.3, chr-F: 0.333 testset: URL, BLEU: 51.0, chr-F: 0.669 testset: URL, BLEU: 6.7, chr-F: 0.266 testset: URL, BLEU: 33.0, chr-F: 0.505 testset: URL, BLEU: 54.0, chr-F: 0.687 testset: URL, BLEU: 33.6, chr-F: 0.529 testset: URL, BLEU: 58.9, chr-F: 0.733 testset: URL, BLEU: 37.3, chr-F: 0.546 testset: URL, BLEU: 54.9, chr-F: 0.696 testset: URL, BLEU: 29.6, chr-F: 0.446 testset: URL, BLEU: 40.5, chr-F: 0.581 testset: URL, BLEU: 14.5, chr-F: 0.361 testset: URL, BLEU: 62.0, chr-F: 0.745 testset: URL, BLEU: 17.1, chr-F: 0.334 testset: URL, BLEU: 19.4, chr-F: 0.400 ### System Info: * hf\_name: gem-eng * source\_languages: gem * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] * src\_constituents: {'ksh', 'enm\_Latn', 'got\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\_Hebr', 'ang\_Latn', 'frr', 'non\_Latn', 'yid', 'nds'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gem * tgt\_alpha3: eng * short\_pair: gem-en * chrF2\_score: 0.687 * bleu: 54.0 * brevity\_penalty: 0.993 * ref\_len: 72120.0 * src\_name: Germanic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: gem * tgt\_alpha2: en * prefer\_old: False * long\_pair: gem-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gem-eng\n\n\n* source group: Germanic languages\n* target group: English\n* OPUS readme: gem-eng\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 27.2, chr-F: 0.542\ntestset: URL, BLEU: 26.3, chr-F: 0.536\ntestset: URL, BLEU: 25.1, chr-F: 0.531\ntestset: URL, BLEU: 28.3, chr-F: 0.569\ntestset: URL, BLEU: 26.0, chr-F: 0.543\ntestset: URL, BLEU: 26.8, chr-F: 0.550\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 30.7, chr-F: 0.574\ntestset: URL, BLEU: 32.1, chr-F: 0.581\ntestset: URL, BLEU: 36.9, chr-F: 0.624\ntestset: URL, BLEU: 32.8, chr-F: 0.588\ntestset: URL, BLEU: 40.2, chr-F: 0.640\ntestset: URL, BLEU: 36.8, chr-F: 0.614\ntestset: URL, BLEU: 62.8, chr-F: 0.758\ntestset: URL, BLEU: 10.5, chr-F: 0.262\ntestset: URL, BLEU: 61.6, chr-F: 0.754\ntestset: URL, BLEU: 49.7, chr-F: 0.665\ntestset: URL, BLEU: 23.9, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.446\ntestset: URL, BLEU: 10.2, chr-F: 0.184\ntestset: URL, BLEU: 29.6, chr-F: 0.486\ntestset: URL, BLEU: 17.8, chr-F: 0.352\ntestset: URL, BLEU: 0.1, chr-F: 0.058\ntestset: URL, BLEU: 15.3, chr-F: 0.333\ntestset: URL, BLEU: 51.0, chr-F: 0.669\ntestset: URL, BLEU: 6.7, chr-F: 0.266\ntestset: URL, BLEU: 33.0, chr-F: 0.505\ntestset: URL, BLEU: 54.0, chr-F: 0.687\ntestset: URL, BLEU: 33.6, chr-F: 0.529\ntestset: URL, BLEU: 58.9, chr-F: 0.733\ntestset: URL, BLEU: 37.3, chr-F: 0.546\ntestset: URL, BLEU: 54.9, chr-F: 0.696\ntestset: URL, BLEU: 29.6, chr-F: 0.446\ntestset: URL, BLEU: 40.5, chr-F: 0.581\ntestset: URL, BLEU: 14.5, chr-F: 0.361\ntestset: URL, BLEU: 62.0, chr-F: 0.745\ntestset: URL, BLEU: 17.1, chr-F: 0.334\ntestset: URL, BLEU: 19.4, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: gem-eng\n* source\\_languages: gem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gem\n* tgt\\_alpha3: eng\n* short\\_pair: gem-en\n* chrF2\\_score: 0.687\n* bleu: 54.0\n* brevity\\_penalty: 0.993\n* ref\\_len: 72120.0\n* src\\_name: Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gem-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 #da #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gem-eng\n\n\n* source group: Germanic languages\n* target group: English\n* OPUS readme: gem-eng\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 27.2, chr-F: 0.542\ntestset: URL, BLEU: 26.3, chr-F: 0.536\ntestset: URL, BLEU: 25.1, chr-F: 0.531\ntestset: URL, BLEU: 28.3, chr-F: 0.569\ntestset: URL, BLEU: 26.0, chr-F: 0.543\ntestset: URL, BLEU: 26.8, chr-F: 0.550\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 30.7, chr-F: 0.574\ntestset: URL, BLEU: 32.1, chr-F: 0.581\ntestset: URL, BLEU: 36.9, chr-F: 0.624\ntestset: URL, BLEU: 32.8, chr-F: 0.588\ntestset: URL, BLEU: 40.2, chr-F: 0.640\ntestset: URL, BLEU: 36.8, chr-F: 0.614\ntestset: URL, BLEU: 62.8, chr-F: 0.758\ntestset: URL, BLEU: 10.5, chr-F: 0.262\ntestset: URL, BLEU: 61.6, chr-F: 0.754\ntestset: URL, BLEU: 49.7, chr-F: 0.665\ntestset: URL, BLEU: 23.9, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.446\ntestset: URL, BLEU: 10.2, chr-F: 0.184\ntestset: URL, BLEU: 29.6, chr-F: 0.486\ntestset: URL, BLEU: 17.8, chr-F: 0.352\ntestset: URL, BLEU: 0.1, chr-F: 0.058\ntestset: URL, BLEU: 15.3, chr-F: 0.333\ntestset: URL, BLEU: 51.0, chr-F: 0.669\ntestset: URL, BLEU: 6.7, chr-F: 0.266\ntestset: URL, BLEU: 33.0, chr-F: 0.505\ntestset: URL, BLEU: 54.0, chr-F: 0.687\ntestset: URL, BLEU: 33.6, chr-F: 0.529\ntestset: URL, BLEU: 58.9, chr-F: 0.733\ntestset: URL, BLEU: 37.3, chr-F: 0.546\ntestset: URL, BLEU: 54.9, chr-F: 0.696\ntestset: URL, BLEU: 29.6, chr-F: 0.446\ntestset: URL, BLEU: 40.5, chr-F: 0.581\ntestset: URL, BLEU: 14.5, chr-F: 0.361\ntestset: URL, BLEU: 62.0, chr-F: 0.745\ntestset: URL, BLEU: 17.1, chr-F: 0.334\ntestset: URL, BLEU: 19.4, chr-F: 0.400", "### System Info:\n\n\n* hf\\_name: gem-eng\n* source\\_languages: gem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gem\n* tgt\\_alpha3: eng\n* short\\_pair: gem-en\n* chrF2\\_score: 0.687\n* bleu: 54.0\n* brevity\\_penalty: 0.993\n* ref\\_len: 72120.0\n* src\\_name: Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gem-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 79, 1036, 592 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gem-eng\n\n\n* source group: Germanic languages\n* target group: English\n* OPUS readme: gem-eng\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 27.2, chr-F: 0.542\ntestset: URL, BLEU: 26.3, chr-F: 0.536\ntestset: URL, BLEU: 25.1, chr-F: 0.531\ntestset: URL, BLEU: 28.3, chr-F: 0.569\ntestset: URL, BLEU: 26.0, chr-F: 0.543\ntestset: URL, BLEU: 26.8, chr-F: 0.550\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 30.7, chr-F: 0.574\ntestset: URL, BLEU: 32.1, chr-F: 0.581\ntestset: URL, BLEU: 36.9, chr-F: 0.624\ntestset: URL, BLEU: 32.8, chr-F: 0.588\ntestset: URL, BLEU: 40.2, chr-F: 0.640\ntestset: URL, BLEU: 36.8, chr-F: 0.614\ntestset: URL, BLEU: 62.8, chr-F: 0.758\ntestset: URL, BLEU: 10.5, chr-F: 0.262\ntestset: URL, BLEU: 61.6, chr-F: 0.754\ntestset: URL, BLEU: 49.7, chr-F: 0.665\ntestset: URL, BLEU: 23.9, chr-F: 0.491\ntestset: URL, BLEU: 23.4, chr-F: 0.446\ntestset: URL, BLEU: 10.2, chr-F: 0.184\ntestset: URL, BLEU: 29.6, chr-F: 0.486\ntestset: URL, BLEU: 17.8, chr-F: 0.352\ntestset: URL, BLEU: 0.1, chr-F: 0.058\ntestset: URL, BLEU: 15.3, chr-F: 0.333\ntestset: URL, BLEU: 51.0, chr-F: 0.669\ntestset: URL, BLEU: 6.7, chr-F: 0.266\ntestset: URL, BLEU: 33.0, chr-F: 0.505\ntestset: URL, BLEU: 54.0, chr-F: 0.687\ntestset: URL, BLEU: 33.6, chr-F: 0.529\ntestset: URL, BLEU: 58.9, chr-F: 0.733\ntestset: URL, BLEU: 37.3, chr-F: 0.546\ntestset: URL, BLEU: 54.9, chr-F: 0.696\ntestset: URL, BLEU: 29.6, chr-F: 0.446\ntestset: URL, BLEU: 40.5, chr-F: 0.581\ntestset: URL, BLEU: 14.5, chr-F: 0.361\ntestset: URL, BLEU: 62.0, chr-F: 0.745\ntestset: URL, BLEU: 17.1, chr-F: 0.334\ntestset: URL, BLEU: 19.4, chr-F: 0.400### System Info:\n\n\n* hf\\_name: gem-eng\n* source\\_languages: gem\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gem\n* tgt\\_alpha3: eng\n* short\\_pair: gem-en\n* chrF2\\_score: 0.687\n* bleu: 54.0\n* brevity\\_penalty: 0.993\n* ref\\_len: 72120.0\n* src\\_name: Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gem\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gem-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### gem-gem * source group: Germanic languages * target group: Germanic languages * OPUS readme: [gem-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md) * model: transformer * source language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * target language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-deueng.deu.eng \| 24.5 \| 0.519 \| \| newssyscomb2009-engdeu.eng.deu \| 18.7 \| 0.495 \| \| news-test2008-deueng.deu.eng \| 22.8 \| 0.509 \| \| news-test2008-engdeu.eng.deu \| 18.6 \| 0.485 \| \| newstest2009-deueng.deu.eng \| 22.2 \| 0.507 \| \| newstest2009-engdeu.eng.deu \| 18.3 \| 0.491 \| \| newstest2010-deueng.deu.eng \| 24.8 \| 0.537 \| \| newstest2010-engdeu.eng.deu \| 19.7 \| 0.499 \| \| newstest2011-deueng.deu.eng \| 22.9 \| 0.516 \| \| newstest2011-engdeu.eng.deu \| 18.3 \| 0.485 \| \| newstest2012-deueng.deu.eng \| 23.9 \| 0.524 \| \| newstest2012-engdeu.eng.deu \| 18.5 \| 0.484 \| \| newstest2013-deueng.deu.eng \| 26.3 \| 0.537 \| \| newstest2013-engdeu.eng.deu \| 21.5 \| 0.506 \| \| newstest2014-deen-deueng.deu.eng \| 25.7 \| 0.535 \| \| newstest2015-ende-deueng.deu.eng \| 27.3 \| 0.542 \| \| newstest2015-ende-engdeu.eng.deu \| 24.2 \| 0.534 \| \| newstest2016-ende-deueng.deu.eng \| 31.8 \| 0.584 \| \| newstest2016-ende-engdeu.eng.deu \| 28.4 \| 0.564 \| \| newstest2017-ende-deueng.deu.eng \| 27.6 \| 0.545 \| \| newstest2017-ende-engdeu.eng.deu \| 22.8 \| 0.527 \| \| newstest2018-ende-deueng.deu.eng \| 34.1 \| 0.593 \| \| newstest2018-ende-engdeu.eng.deu \| 32.7 \| 0.595 \| \| newstest2019-deen-deueng.deu.eng \| 30.6 \| 0.565 \| \| newstest2019-ende-engdeu.eng.deu \| 29.5 \| 0.567 \| \| Tatoeba-test.afr-ang.afr.ang \| 0.0 \| 0.053 \| \| Tatoeba-test.afr-dan.afr.dan \| 57.8 \| 0.907 \| \| Tatoeba-test.afr-deu.afr.deu \| 46.4 \| 0.663 \| \| Tatoeba-test.afr-eng.afr.eng \| 57.4 \| 0.717 \| \| Tatoeba-test.afr-enm.afr.enm \| 11.3 \| 0.285 \| \| Tatoeba-test.afr-fry.afr.fry \| 0.0 \| 0.167 \| \| Tatoeba-test.afr-gos.afr.gos \| 1.5 \| 0.178 \| \| Tatoeba-test.afr-isl.afr.isl \| 29.0 \| 0.760 \| \| Tatoeba-test.afr-ltz.afr.ltz \| 11.2 \| 0.246 \| \| Tatoeba-test.afr-nld.afr.nld \| 53.3 \| 0.708 \| \| Tatoeba-test.afr-nor.afr.nor \| 66.0 \| 0.752 \| \| Tatoeba-test.afr-swe.afr.swe \| 88.0 \| 0.955 \| \| Tatoeba-test.afr-yid.afr.yid \| 59.5 \| 0.443 \| \| Tatoeba-test.ang-afr.ang.afr \| 10.7 \| 0.043 \| \| Tatoeba-test.ang-dan.ang.dan \| 6.3 \| 0.190 \| \| Tatoeba-test.ang-deu.ang.deu \| 1.4 \| 0.212 \| \| Tatoeba-test.ang-eng.ang.eng \| 8.1 \| 0.247 \| \| Tatoeba-test.ang-enm.ang.enm \| 1.7 \| 0.196 \| \| Tatoeba-test.ang-fao.ang.fao \| 10.7 \| 0.105 \| \| Tatoeba-test.ang-gos.ang.gos \| 10.7 \| 0.128 \| \| Tatoeba-test.ang-isl.ang.isl \| 16.0 \| 0.135 \| \| Tatoeba-test.ang-ltz.ang.ltz \| 16.0 \| 0.121 \| \| Tatoeba-test.ang-yid.ang.yid \| 1.5 \| 0.136 \| \| Tatoeba-test.dan-afr.dan.afr \| 22.7 \| 0.655 \| \| Tatoeba-test.dan-ang.dan.ang \| 3.1 \| 0.110 \| \| Tatoeba-test.dan-deu.dan.deu \| 47.4 \| 0.676 \| \| Tatoeba-test.dan-eng.dan.eng \| 54.7 \| 0.704 \| \| Tatoeba-test.dan-enm.dan.enm \| 4.8 \| 0.291 \| \| Tatoeba-test.dan-fao.dan.fao \| 9.7 \| 0.120 \| \| Tatoeba-test.dan-gos.dan.gos \| 3.8 \| 0.240 \| \| Tatoeba-test.dan-isl.dan.isl \| 66.1 \| 0.678 \| \| Tatoeba-test.dan-ltz.dan.ltz \| 78.3 \| 0.563 \| \| Tatoeba-test.dan-nds.dan.nds \| 6.2 \| 0.335 \| \| Tatoeba-test.dan-nld.dan.nld \| 60.0 \| 0.748 \| \| Tatoeba-test.dan-nor.dan.nor \| 68.1 \| 0.812 \| \| Tatoeba-test.dan-swe.dan.swe \| 65.0 \| 0.785 \| \| Tatoeba-test.dan-swg.dan.swg \| 2.6 \| 0.182 \| \| Tatoeba-test.dan-yid.dan.yid \| 9.3 \| 0.226 \| \| Tatoeba-test.deu-afr.deu.afr \| 50.3 \| 0.682 \| \| Tatoeba-test.deu-ang.deu.ang \| 0.5 \| 0.118 \| \| Tatoeba-test.deu-dan.deu.dan \| 49.6 \| 0.679 \| \| Tatoeba-test.deu-eng.deu.eng \| 43.4 \| 0.618 \| \| Tatoeba-test.deu-enm.deu.enm \| 2.2 \| 0.159 \| \| Tatoeba-test.deu-frr.deu.frr \| 0.4 \| 0.156 \| \| Tatoeba-test.deu-fry.deu.fry \| 10.7 \| 0.355 \| \| Tatoeba-test.deu-gos.deu.gos \| 0.7 \| 0.183 \| \| Tatoeba-test.deu-got.deu.got \| 0.3 \| 0.010 \| \| Tatoeba-test.deu-gsw.deu.gsw \| 1.1 \| 0.130 \| \| Tatoeba-test.deu-isl.deu.isl \| 24.3 \| 0.504 \| \| Tatoeba-test.deu-ksh.deu.ksh \| 0.9 \| 0.173 \| \| Tatoeba-test.deu-ltz.deu.ltz \| 15.6 \| 0.304 \| \| Tatoeba-test.deu-nds.deu.nds \| 21.2 \| 0.469 \| \| Tatoeba-test.deu-nld.deu.nld \| 47.1 \| 0.657 \| \| Tatoeba-test.deu-nor.deu.nor \| 43.9 \| 0.646 \| \| Tatoeba-test.deu-pdc.deu.pdc \| 3.0 \| 0.133 \| \| Tatoeba-test.deu-sco.deu.sco \| 12.0 \| 0.296 \| \| Tatoeba-test.deu-stq.deu.stq \| 0.6 \| 0.137 \| \| Tatoeba-test.deu-swe.deu.swe \| 50.6 \| 0.668 \| \| Tatoeba-test.deu-swg.deu.swg \| 0.2 \| 0.137 \| \| Tatoeba-test.deu-yid.deu.yid \| 3.9 \| 0.229 \| \| Tatoeba-test.eng-afr.eng.afr \| 55.2 \| 0.721 \| \| Tatoeba-test.eng-ang.eng.ang \| 4.9 \| 0.118 \| \| Tatoeba-test.eng-dan.eng.dan \| 52.6 \| 0.684 \| \| Tatoeba-test.eng-deu.eng.deu \| 35.4 \| 0.573 \| \| Tatoeba-test.eng-enm.eng.enm \| 1.8 \| 0.223 \| \| Tatoeba-test.eng-fao.eng.fao \| 7.0 \| 0.312 \| \| Tatoeba-test.eng-frr.eng.frr \| 1.2 \| 0.050 \| \| Tatoeba-test.eng-fry.eng.fry \| 15.8 \| 0.381 \| \| Tatoeba-test.eng-gos.eng.gos \| 0.7 \| 0.170 \| \| Tatoeba-test.eng-got.eng.got \| 0.3 \| 0.011 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 0.5 \| 0.126 \| \| Tatoeba-test.eng-isl.eng.isl \| 20.9 \| 0.463 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 1.0 \| 0.141 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 12.8 \| 0.292 \| \| Tatoeba-test.eng-nds.eng.nds \| 18.3 \| 0.428 \| \| Tatoeba-test.eng-nld.eng.nld \| 47.3 \| 0.657 \| \| Tatoeba-test.eng-non.eng.non \| 0.3 \| 0.145 \| \| Tatoeba-test.eng-nor.eng.nor \| 47.2 \| 0.650 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 4.8 \| 0.177 \| \| Tatoeba-test.eng-sco.eng.sco \| 38.1 \| 0.597 \| \| Tatoeba-test.eng-stq.eng.stq \| 2.4 \| 0.288 \| \| Tatoeba-test.eng-swe.eng.swe \| 52.7 \| 0.677 \| \| Tatoeba-test.eng-swg.eng.swg \| 1.1 \| 0.163 \| \| Tatoeba-test.eng-yid.eng.yid \| 4.5 \| 0.223 \| \| Tatoeba-test.enm-afr.enm.afr \| 22.8 \| 0.401 \| \| Tatoeba-test.enm-ang.enm.ang \| 0.4 \| 0.062 \| \| Tatoeba-test.enm-dan.enm.dan \| 51.4 \| 0.782 \| \| Tatoeba-test.enm-deu.enm.deu \| 33.8 \| 0.473 \| \| Tatoeba-test.enm-eng.enm.eng \| 22.4 \| 0.495 \| \| Tatoeba-test.enm-fry.enm.fry \| 16.0 \| 0.173 \| \| Tatoeba-test.enm-gos.enm.gos \| 6.1 \| 0.222 \| \| Tatoeba-test.enm-isl.enm.isl \| 59.5 \| 0.651 \| \| Tatoeba-test.enm-ksh.enm.ksh \| 10.5 \| 0.130 \| \| Tatoeba-test.enm-nds.enm.nds \| 18.1 \| 0.327 \| \| Tatoeba-test.enm-nld.enm.nld \| 38.3 \| 0.546 \| \| Tatoeba-test.enm-nor.enm.nor \| 15.6 \| 0.290 \| \| Tatoeba-test.enm-yid.enm.yid \| 2.3 \| 0.215 \| \| Tatoeba-test.fao-ang.fao.ang \| 2.1 \| 0.035 \| \| Tatoeba-test.fao-dan.fao.dan \| 53.7 \| 0.625 \| \| Tatoeba-test.fao-eng.fao.eng \| 24.7 \| 0.435 \| \| Tatoeba-test.fao-gos.fao.gos \| 12.7 \| 0.116 \| \| Tatoeba-test.fao-isl.fao.isl \| 26.3 \| 0.341 \| \| Tatoeba-test.fao-nor.fao.nor \| 41.9 \| 0.586 \| \| Tatoeba-test.fao-swe.fao.swe \| 0.0 \| 1.000 \| \| Tatoeba-test.frr-deu.frr.deu \| 7.4 \| 0.263 \| \| Tatoeba-test.frr-eng.frr.eng \| 7.0 \| 0.157 \| \| Tatoeba-test.frr-fry.frr.fry \| 4.0 \| 0.112 \| \| Tatoeba-test.frr-gos.frr.gos \| 1.0 \| 0.135 \| \| Tatoeba-test.frr-nds.frr.nds \| 12.4 \| 0.207 \| \| Tatoeba-test.frr-nld.frr.nld \| 10.6 \| 0.227 \| \| Tatoeba-test.frr-stq.frr.stq \| 1.0 \| 0.058 \| \| Tatoeba-test.fry-afr.fry.afr \| 12.7 \| 0.333 \| \| Tatoeba-test.fry-deu.fry.deu \| 30.8 \| 0.555 \| \| Tatoeba-test.fry-eng.fry.eng \| 31.2 \| 0.506 \| \| Tatoeba-test.fry-enm.fry.enm \| 0.0 \| 0.175 \| \| Tatoeba-test.fry-frr.fry.frr \| 1.6 \| 0.091 \| \| Tatoeba-test.fry-gos.fry.gos \| 1.1 \| 0.254 \| \| Tatoeba-test.fry-ltz.fry.ltz \| 30.4 \| 0.526 \| \| Tatoeba-test.fry-nds.fry.nds \| 12.4 \| 0.116 \| \| Tatoeba-test.fry-nld.fry.nld \| 43.4 \| 0.637 \| \| Tatoeba-test.fry-nor.fry.nor \| 47.1 \| 0.607 \| \| Tatoeba-test.fry-stq.fry.stq \| 0.6 \| 0.181 \| \| Tatoeba-test.fry-swe.fry.swe \| 30.2 \| 0.587 \| \| Tatoeba-test.fry-yid.fry.yid \| 3.1 \| 0.173 \| \| Tatoeba-test.gos-afr.gos.afr \| 1.8 \| 0.215 \| \| Tatoeba-test.gos-ang.gos.ang \| 0.0 \| 0.045 \| \| Tatoeba-test.gos-dan.gos.dan \| 4.1 \| 0.236 \| \| Tatoeba-test.gos-deu.gos.deu \| 19.6 \| 0.406 \| \| Tatoeba-test.gos-eng.gos.eng \| 15.1 \| 0.329 \| \| Tatoeba-test.gos-enm.gos.enm \| 5.8 \| 0.271 \| \| Tatoeba-test.gos-fao.gos.fao \| 19.0 \| 0.136 \| \| Tatoeba-test.gos-frr.gos.frr \| 1.3 \| 0.119 \| \| Tatoeba-test.gos-fry.gos.fry \| 17.1 \| 0.388 \| \| Tatoeba-test.gos-isl.gos.isl \| 16.8 \| 0.356 \| \| Tatoeba-test.gos-ltz.gos.ltz \| 3.6 \| 0.174 \| \| Tatoeba-test.gos-nds.gos.nds \| 4.7 \| 0.225 \| \| Tatoeba-test.gos-nld.gos.nld \| 16.3 \| 0.406 \| \| Tatoeba-test.gos-stq.gos.stq \| 0.7 \| 0.154 \| \| Tatoeba-test.gos-swe.gos.swe \| 8.6 \| 0.319 \| \| Tatoeba-test.gos-yid.gos.yid \| 4.4 \| 0.165 \| \| Tatoeba-test.got-deu.got.deu \| 0.2 \| 0.041 \| \| Tatoeba-test.got-eng.got.eng \| 0.2 \| 0.068 \| \| Tatoeba-test.got-nor.got.nor \| 0.6 \| 0.000 \| \| Tatoeba-test.gsw-deu.gsw.deu \| 15.9 \| 0.373 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 14.7 \| 0.320 \| \| Tatoeba-test.isl-afr.isl.afr \| 38.0 \| 0.641 \| \| Tatoeba-test.isl-ang.isl.ang \| 0.0 \| 0.037 \| \| Tatoeba-test.isl-dan.isl.dan \| 67.7 \| 0.836 \| \| Tatoeba-test.isl-deu.isl.deu \| 42.6 \| 0.614 \| \| Tatoeba-test.isl-eng.isl.eng \| 43.5 \| 0.610 \| \| Tatoeba-test.isl-enm.isl.enm \| 12.4 \| 0.123 \| \| Tatoeba-test.isl-fao.isl.fao \| 15.6 \| 0.176 \| \| Tatoeba-test.isl-gos.isl.gos \| 7.1 \| 0.257 \| \| Tatoeba-test.isl-nor.isl.nor \| 53.5 \| 0.690 \| \| Tatoeba-test.isl-stq.isl.stq \| 10.7 \| 0.176 \| \| Tatoeba-test.isl-swe.isl.swe \| 67.7 \| 0.818 \| \| Tatoeba-test.ksh-deu.ksh.deu \| 11.8 \| 0.393 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 4.0 \| 0.239 \| \| Tatoeba-test.ksh-enm.ksh.enm \| 9.5 \| 0.085 \| \| Tatoeba-test.ltz-afr.ltz.afr \| 36.5 \| 0.529 \| \| Tatoeba-test.ltz-ang.ltz.ang \| 0.0 \| 0.043 \| \| Tatoeba-test.ltz-dan.ltz.dan \| 80.6 \| 0.722 \| \| Tatoeba-test.ltz-deu.ltz.deu \| 40.1 \| 0.581 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 36.1 \| 0.511 \| \| Tatoeba-test.ltz-fry.ltz.fry \| 16.5 \| 0.524 \| \| Tatoeba-test.ltz-gos.ltz.gos \| 0.7 \| 0.118 \| \| Tatoeba-test.ltz-nld.ltz.nld \| 40.4 \| 0.535 \| \| Tatoeba-test.ltz-nor.ltz.nor \| 19.1 \| 0.582 \| \| Tatoeba-test.ltz-stq.ltz.stq \| 2.4 \| 0.093 \| \| Tatoeba-test.ltz-swe.ltz.swe \| 25.9 \| 0.430 \| \| Tatoeba-test.ltz-yid.ltz.yid \| 1.5 \| 0.160 \| \| Tatoeba-test.multi.multi \| 42.7 \| 0.614 \| \| Tatoeba-test.nds-dan.nds.dan \| 23.0 \| 0.465 \| \| Tatoeba-test.nds-deu.nds.deu \| 39.8 \| 0.610 \| \| Tatoeba-test.nds-eng.nds.eng \| 32.0 \| 0.520 \| \| Tatoeba-test.nds-enm.nds.enm \| 3.9 \| 0.156 \| \| Tatoeba-test.nds-frr.nds.frr \| 10.7 \| 0.127 \| \| Tatoeba-test.nds-fry.nds.fry \| 10.7 \| 0.231 \| \| Tatoeba-test.nds-gos.nds.gos \| 0.8 \| 0.157 \| \| Tatoeba-test.nds-nld.nds.nld \| 44.1 \| 0.634 \| \| Tatoeba-test.nds-nor.nds.nor \| 47.1 \| 0.665 \| \| Tatoeba-test.nds-swg.nds.swg \| 0.5 \| 0.166 \| \| Tatoeba-test.nds-yid.nds.yid \| 12.7 \| 0.337 \| \| Tatoeba-test.nld-afr.nld.afr \| 58.4 \| 0.748 \| \| Tatoeba-test.nld-dan.nld.dan \| 61.3 \| 0.753 \| \| Tatoeba-test.nld-deu.nld.deu \| 48.2 \| 0.670 \| \| Tatoeba-test.nld-eng.nld.eng \| 52.8 \| 0.690 \| \| Tatoeba-test.nld-enm.nld.enm \| 5.7 \| 0.178 \| \| Tatoeba-test.nld-frr.nld.frr \| 0.9 \| 0.159 \| \| Tatoeba-test.nld-fry.nld.fry \| 23.0 \| 0.467 \| \| Tatoeba-test.nld-gos.nld.gos \| 1.0 \| 0.165 \| \| Tatoeba-test.nld-ltz.nld.ltz \| 14.4 \| 0.310 \| \| Tatoeba-test.nld-nds.nld.nds \| 24.1 \| 0.485 \| \| Tatoeba-test.nld-nor.nld.nor \| 53.6 \| 0.705 \| \| Tatoeba-test.nld-sco.nld.sco \| 15.0 \| 0.415 \| \| Tatoeba-test.nld-stq.nld.stq \| 0.5 \| 0.183 \| \| Tatoeba-test.nld-swe.nld.swe \| 73.6 \| 0.842 \| \| Tatoeba-test.nld-swg.nld.swg \| 4.2 \| 0.191 \| \| Tatoeba-test.nld-yid.nld.yid \| 9.4 \| 0.299 \| \| Tatoeba-test.non-eng.non.eng \| 27.7 \| 0.501 \| \| Tatoeba-test.nor-afr.nor.afr \| 48.2 \| 0.687 \| \| Tatoeba-test.nor-dan.nor.dan \| 69.5 \| 0.820 \| \| Tatoeba-test.nor-deu.nor.deu \| 41.1 \| 0.634 \| \| Tatoeba-test.nor-eng.nor.eng \| 49.4 \| 0.660 \| \| Tatoeba-test.nor-enm.nor.enm \| 6.8 \| 0.230 \| \| Tatoeba-test.nor-fao.nor.fao \| 6.9 \| 0.395 \| \| Tatoeba-test.nor-fry.nor.fry \| 9.2 \| 0.323 \| \| Tatoeba-test.nor-got.nor.got \| 1.5 \| 0.000 \| \| Tatoeba-test.nor-isl.nor.isl \| 34.5 \| 0.555 \| \| Tatoeba-test.nor-ltz.nor.ltz \| 22.1 \| 0.447 \| \| Tatoeba-test.nor-nds.nor.nds \| 34.3 \| 0.565 \| \| Tatoeba-test.nor-nld.nor.nld \| 50.5 \| 0.676 \| \| Tatoeba-test.nor-nor.nor.nor \| 57.6 \| 0.764 \| \| Tatoeba-test.nor-swe.nor.swe \| 68.9 \| 0.813 \| \| Tatoeba-test.nor-yid.nor.yid \| 65.0 \| 0.627 \| \| Tatoeba-test.pdc-deu.pdc.deu \| 43.5 \| 0.559 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 26.1 \| 0.471 \| \| Tatoeba-test.sco-deu.sco.deu \| 7.1 \| 0.295 \| \| Tatoeba-test.sco-eng.sco.eng \| 34.4 \| 0.551 \| \| Tatoeba-test.sco-nld.sco.nld \| 9.9 \| 0.438 \| \| Tatoeba-test.stq-deu.stq.deu \| 8.6 \| 0.385 \| \| Tatoeba-test.stq-eng.stq.eng \| 21.8 \| 0.431 \| \| Tatoeba-test.stq-frr.stq.frr \| 2.1 \| 0.111 \| \| Tatoeba-test.stq-fry.stq.fry \| 7.6 \| 0.267 \| \| Tatoeba-test.stq-gos.stq.gos \| 0.7 \| 0.198 \| \| Tatoeba-test.stq-isl.stq.isl \| 16.0 \| 0.121 \| \| Tatoeba-test.stq-ltz.stq.ltz \| 3.8 \| 0.150 \| \| Tatoeba-test.stq-nld.stq.nld \| 14.6 \| 0.375 \| \| Tatoeba-test.stq-yid.stq.yid \| 2.4 \| 0.096 \| \| Tatoeba-test.swe-afr.swe.afr \| 51.8 \| 0.802 \| \| Tatoeba-test.swe-dan.swe.dan \| 64.9 \| 0.784 \| \| Tatoeba-test.swe-deu.swe.deu \| 47.0 \| 0.657 \| \| Tatoeba-test.swe-eng.swe.eng \| 55.8 \| 0.700 \| \| Tatoeba-test.swe-fao.swe.fao \| 0.0 \| 0.060 \| \| Tatoeba-test.swe-fry.swe.fry \| 14.1 \| 0.449 \| \| Tatoeba-test.swe-gos.swe.gos \| 7.5 \| 0.291 \| \| Tatoeba-test.swe-isl.swe.isl \| 70.7 \| 0.812 \| \| Tatoeba-test.swe-ltz.swe.ltz \| 15.9 \| 0.553 \| \| Tatoeba-test.swe-nld.swe.nld \| 78.7 \| 0.854 \| \| Tatoeba-test.swe-nor.swe.nor \| 67.1 \| 0.799 \| \| Tatoeba-test.swe-yid.swe.yid \| 14.7 \| 0.156 \| \| Tatoeba-test.swg-dan.swg.dan \| 7.7 \| 0.341 \| \| Tatoeba-test.swg-deu.swg.deu \| 8.0 \| 0.334 \| \| Tatoeba-test.swg-eng.swg.eng \| 12.4 \| 0.305 \| \| Tatoeba-test.swg-nds.swg.nds \| 1.1 \| 0.209 \| \| Tatoeba-test.swg-nld.swg.nld \| 4.9 \| 0.244 \| \| Tatoeba-test.swg-yid.swg.yid \| 3.4 \| 0.194 \| \| Tatoeba-test.yid-afr.yid.afr \| 23.6 \| 0.552 \| \| Tatoeba-test.yid-ang.yid.ang \| 0.1 \| 0.066 \| \| Tatoeba-test.yid-dan.yid.dan \| 17.5 \| 0.392 \| \| Tatoeba-test.yid-deu.yid.deu \| 21.0 \| 0.423 \| \| Tatoeba-test.yid-eng.yid.eng \| 17.4 \| 0.368 \| \| Tatoeba-test.yid-enm.yid.enm \| 0.6 \| 0.143 \| \| Tatoeba-test.yid-fry.yid.fry \| 5.3 \| 0.169 \| \| Tatoeba-test.yid-gos.yid.gos \| 1.2 \| 0.149 \| \| Tatoeba-test.yid-ltz.yid.ltz \| 3.5 \| 0.256 \| \| Tatoeba-test.yid-nds.yid.nds \| 14.4 \| 0.487 \| \| Tatoeba-test.yid-nld.yid.nld \| 26.1 \| 0.423 \| \| Tatoeba-test.yid-nor.yid.nor \| 47.1 \| 0.583 \| \| Tatoeba-test.yid-stq.yid.stq \| 1.5 \| 0.092 \| \| Tatoeba-test.yid-swe.yid.swe \| 35.9 \| 0.518 \| \| Tatoeba-test.yid-swg.yid.swg \| 1.0 \| 0.124 \| ### System Info: - hf_name: gem-gem - source_languages: gem - target_languages: gem - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] - src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt - src_alpha3: gem - tgt_alpha3: gem - short_pair: gem-gem - chrF2_score: 0.614 - bleu: 42.7 - brevity_penalty: 0.993 - ref_len: 73459.0 - src_name: Germanic languages - tgt_name: Germanic languages - train_date: 2020-07-27 - src_alpha2: gem - tgt_alpha2: gem - prefer_old: False - long_pair: gem-gem - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gem-gem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gem-gem * source group: Germanic languages * target group: Germanic languages * OPUS readme: gem-gem * model: transformer * source language(s): afr ang\_Latn dan deu eng enm\_Latn fao frr fry gos got\_Goth gsw isl ksh ltz nds nld nno nob nob\_Hebr non\_Latn pdc sco stq swe swg yid * target language(s): afr ang\_Latn dan deu eng enm\_Latn fao frr fry gos got\_Goth gsw isl ksh ltz nds nld nno nob nob\_Hebr non\_Latn pdc sco stq swe swg yid * 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: 24.5, chr-F: 0.519 testset: URL, BLEU: 18.7, chr-F: 0.495 testset: URL, BLEU: 22.8, chr-F: 0.509 testset: URL, BLEU: 18.6, chr-F: 0.485 testset: URL, BLEU: 22.2, chr-F: 0.507 testset: URL, BLEU: 18.3, chr-F: 0.491 testset: URL, BLEU: 24.8, chr-F: 0.537 testset: URL, BLEU: 19.7, chr-F: 0.499 testset: URL, BLEU: 22.9, chr-F: 0.516 testset: URL, BLEU: 18.3, chr-F: 0.485 testset: URL, BLEU: 23.9, chr-F: 0.524 testset: URL, BLEU: 18.5, chr-F: 0.484 testset: URL, BLEU: 26.3, chr-F: 0.537 testset: URL, BLEU: 21.5, chr-F: 0.506 testset: URL, BLEU: 25.7, chr-F: 0.535 testset: URL, BLEU: 27.3, chr-F: 0.542 testset: URL, BLEU: 24.2, chr-F: 0.534 testset: URL, BLEU: 31.8, chr-F: 0.584 testset: URL, BLEU: 28.4, chr-F: 0.564 testset: URL, BLEU: 27.6, chr-F: 0.545 testset: URL, BLEU: 22.8, chr-F: 0.527 testset: URL, BLEU: 34.1, chr-F: 0.593 testset: URL, BLEU: 32.7, chr-F: 0.595 testset: URL, BLEU: 30.6, chr-F: 0.565 testset: URL, BLEU: 29.5, chr-F: 0.567 testset: URL, BLEU: 0.0, chr-F: 0.053 testset: URL, BLEU: 57.8, chr-F: 0.907 testset: URL, BLEU: 46.4, chr-F: 0.663 testset: URL, BLEU: 57.4, chr-F: 0.717 testset: URL, BLEU: 11.3, chr-F: 0.285 testset: URL, BLEU: 0.0, chr-F: 0.167 testset: URL, BLEU: 1.5, chr-F: 0.178 testset: URL, BLEU: 29.0, chr-F: 0.760 testset: URL, BLEU: 11.2, chr-F: 0.246 testset: URL, BLEU: 53.3, chr-F: 0.708 testset: URL, BLEU: 66.0, chr-F: 0.752 testset: URL, BLEU: 88.0, chr-F: 0.955 testset: URL, BLEU: 59.5, chr-F: 0.443 testset: URL, BLEU: 10.7, chr-F: 0.043 testset: URL, BLEU: 6.3, chr-F: 0.190 testset: URL, BLEU: 1.4, chr-F: 0.212 testset: URL, BLEU: 8.1, chr-F: 0.247 testset: URL, BLEU: 1.7, chr-F: 0.196 testset: URL, BLEU: 10.7, chr-F: 0.105 testset: URL, BLEU: 10.7, chr-F: 0.128 testset: URL, BLEU: 16.0, chr-F: 0.135 testset: URL, BLEU: 16.0, chr-F: 0.121 testset: URL, BLEU: 1.5, chr-F: 0.136 testset: URL, BLEU: 22.7, chr-F: 0.655 testset: URL, BLEU: 3.1, chr-F: 0.110 testset: URL, BLEU: 47.4, chr-F: 0.676 testset: URL, BLEU: 54.7, chr-F: 0.704 testset: URL, BLEU: 4.8, chr-F: 0.291 testset: URL, BLEU: 9.7, chr-F: 0.120 testset: URL, BLEU: 3.8, chr-F: 0.240 testset: URL, BLEU: 66.1, chr-F: 0.678 testset: URL, BLEU: 78.3, chr-F: 0.563 testset: URL, BLEU: 6.2, chr-F: 0.335 testset: URL, BLEU: 60.0, chr-F: 0.748 testset: URL, BLEU: 68.1, chr-F: 0.812 testset: URL, BLEU: 65.0, chr-F: 0.785 testset: URL, BLEU: 2.6, chr-F: 0.182 testset: URL, BLEU: 9.3, chr-F: 0.226 testset: URL, BLEU: 50.3, chr-F: 0.682 testset: URL, BLEU: 0.5, chr-F: 0.118 testset: URL, BLEU: 49.6, chr-F: 0.679 testset: URL, BLEU: 43.4, chr-F: 0.618 testset: URL, BLEU: 2.2, chr-F: 0.159 testset: URL, BLEU: 0.4, chr-F: 0.156 testset: URL, BLEU: 10.7, chr-F: 0.355 testset: URL, BLEU: 0.7, chr-F: 0.183 testset: URL, BLEU: 0.3, chr-F: 0.010 testset: URL, BLEU: 1.1, chr-F: 0.130 testset: URL, BLEU: 24.3, chr-F: 0.504 testset: URL, BLEU: 0.9, chr-F: 0.173 testset: URL, BLEU: 15.6, chr-F: 0.304 testset: URL, BLEU: 21.2, chr-F: 0.469 testset: URL, BLEU: 47.1, chr-F: 0.657 testset: URL, BLEU: 43.9, chr-F: 0.646 testset: URL, BLEU: 3.0, chr-F: 0.133 testset: URL, BLEU: 12.0, chr-F: 0.296 testset: URL, BLEU: 0.6, chr-F: 0.137 testset: URL, BLEU: 50.6, chr-F: 0.668 testset: URL, BLEU: 0.2, chr-F: 0.137 testset: URL, BLEU: 3.9, chr-F: 0.229 testset: URL, BLEU: 55.2, chr-F: 0.721 testset: URL, BLEU: 4.9, chr-F: 0.118 testset: URL, BLEU: 52.6, chr-F: 0.684 testset: URL, BLEU: 35.4, chr-F: 0.573 testset: URL, BLEU: 1.8, chr-F: 0.223 testset: URL, BLEU: 7.0, chr-F: 0.312 testset: URL, BLEU: 1.2, chr-F: 0.050 testset: URL, BLEU: 15.8, chr-F: 0.381 testset: URL, BLEU: 0.7, chr-F: 0.170 testset: URL, BLEU: 0.3, chr-F: 0.011 testset: URL, BLEU: 0.5, chr-F: 0.126 testset: URL, BLEU: 20.9, chr-F: 0.463 testset: URL, BLEU: 1.0, chr-F: 0.141 testset: URL, BLEU: 12.8, chr-F: 0.292 testset: URL, BLEU: 18.3, chr-F: 0.428 testset: URL, BLEU: 47.3, chr-F: 0.657 testset: URL, BLEU: 0.3, chr-F: 0.145 testset: URL, BLEU: 47.2, chr-F: 0.650 testset: URL, BLEU: 4.8, chr-F: 0.177 testset: URL, BLEU: 38.1, chr-F: 0.597 testset: URL, BLEU: 2.4, chr-F: 0.288 testset: URL, BLEU: 52.7, chr-F: 0.677 testset: URL, BLEU: 1.1, chr-F: 0.163 testset: URL, BLEU: 4.5, chr-F: 0.223 testset: URL, BLEU: 22.8, chr-F: 0.401 testset: URL, BLEU: 0.4, chr-F: 0.062 testset: URL, BLEU: 51.4, chr-F: 0.782 testset: URL, BLEU: 33.8, chr-F: 0.473 testset: URL, BLEU: 22.4, chr-F: 0.495 testset: URL, BLEU: 16.0, chr-F: 0.173 testset: URL, BLEU: 6.1, chr-F: 0.222 testset: URL, BLEU: 59.5, chr-F: 0.651 testset: URL, BLEU: 10.5, chr-F: 0.130 testset: URL, BLEU: 18.1, chr-F: 0.327 testset: URL, BLEU: 38.3, chr-F: 0.546 testset: URL, BLEU: 15.6, chr-F: 0.290 testset: URL, BLEU: 2.3, chr-F: 0.215 testset: URL, BLEU: 2.1, chr-F: 0.035 testset: URL, BLEU: 53.7, chr-F: 0.625 testset: URL, BLEU: 24.7, chr-F: 0.435 testset: URL, BLEU: 12.7, chr-F: 0.116 testset: URL, BLEU: 26.3, chr-F: 0.341 testset: URL, BLEU: 41.9, chr-F: 0.586 testset: URL, BLEU: 0.0, chr-F: 1.000 testset: URL, BLEU: 7.4, chr-F: 0.263 testset: URL, BLEU: 7.0, chr-F: 0.157 testset: URL, BLEU: 4.0, chr-F: 0.112 testset: URL, BLEU: 1.0, chr-F: 0.135 testset: URL, BLEU: 12.4, chr-F: 0.207 testset: URL, BLEU: 10.6, chr-F: 0.227 testset: URL, BLEU: 1.0, chr-F: 0.058 testset: URL, BLEU: 12.7, chr-F: 0.333 testset: URL, BLEU: 30.8, chr-F: 0.555 testset: URL, BLEU: 31.2, chr-F: 0.506 testset: URL, BLEU: 0.0, chr-F: 0.175 testset: URL, BLEU: 1.6, chr-F: 0.091 testset: URL, BLEU: 1.1, chr-F: 0.254 testset: URL, BLEU: 30.4, chr-F: 0.526 testset: URL, BLEU: 12.4, chr-F: 0.116 testset: URL, BLEU: 43.4, chr-F: 0.637 testset: URL, BLEU: 47.1, chr-F: 0.607 testset: URL, BLEU: 0.6, chr-F: 0.181 testset: URL, BLEU: 30.2, chr-F: 0.587 testset: URL, BLEU: 3.1, chr-F: 0.173 testset: URL, BLEU: 1.8, chr-F: 0.215 testset: URL, BLEU: 0.0, chr-F: 0.045 testset: URL, BLEU: 4.1, chr-F: 0.236 testset: URL, BLEU: 19.6, chr-F: 0.406 testset: URL, BLEU: 15.1, chr-F: 0.329 testset: URL, BLEU: 5.8, chr-F: 0.271 testset: URL, BLEU: 19.0, chr-F: 0.136 testset: URL, BLEU: 1.3, chr-F: 0.119 testset: URL, BLEU: 17.1, chr-F: 0.388 testset: URL, BLEU: 16.8, chr-F: 0.356 testset: URL, BLEU: 3.6, chr-F: 0.174 testset: URL, BLEU: 4.7, chr-F: 0.225 testset: URL, BLEU: 16.3, chr-F: 0.406 testset: URL, BLEU: 0.7, chr-F: 0.154 testset: URL, BLEU: 8.6, chr-F: 0.319 testset: URL, BLEU: 4.4, chr-F: 0.165 testset: URL, BLEU: 0.2, chr-F: 0.041 testset: URL, BLEU: 0.2, chr-F: 0.068 testset: URL, BLEU: 0.6, chr-F: 0.000 testset: URL, BLEU: 15.9, chr-F: 0.373 testset: URL, BLEU: 14.7, chr-F: 0.320 testset: URL, BLEU: 38.0, chr-F: 0.641 testset: URL, BLEU: 0.0, chr-F: 0.037 testset: URL, BLEU: 67.7, chr-F: 0.836 testset: URL, BLEU: 42.6, chr-F: 0.614 testset: URL, BLEU: 43.5, chr-F: 0.610 testset: URL, BLEU: 12.4, chr-F: 0.123 testset: URL, BLEU: 15.6, chr-F: 0.176 testset: URL, BLEU: 7.1, chr-F: 0.257 testset: URL, BLEU: 53.5, chr-F: 0.690 testset: URL, BLEU: 10.7, chr-F: 0.176 testset: URL, BLEU: 67.7, chr-F: 0.818 testset: URL, BLEU: 11.8, chr-F: 0.393 testset: URL, BLEU: 4.0, chr-F: 0.239 testset: URL, BLEU: 9.5, chr-F: 0.085 testset: URL, BLEU: 36.5, chr-F: 0.529 testset: URL, BLEU: 0.0, chr-F: 0.043 testset: URL, BLEU: 80.6, chr-F: 0.722 testset: URL, BLEU: 40.1, chr-F: 0.581 testset: URL, BLEU: 36.1, chr-F: 0.511 testset: URL, BLEU: 16.5, chr-F: 0.524 testset: URL, BLEU: 0.7, chr-F: 0.118 testset: URL, BLEU: 40.4, chr-F: 0.535 testset: URL, BLEU: 19.1, chr-F: 0.582 testset: URL, BLEU: 2.4, chr-F: 0.093 testset: URL, BLEU: 25.9, chr-F: 0.430 testset: URL, BLEU: 1.5, chr-F: 0.160 testset: URL, BLEU: 42.7, chr-F: 0.614 testset: URL, BLEU: 23.0, chr-F: 0.465 testset: URL, BLEU: 39.8, chr-F: 0.610 testset: URL, BLEU: 32.0, chr-F: 0.520 testset: URL, BLEU: 3.9, chr-F: 0.156 testset: URL, BLEU: 10.7, chr-F: 0.127 testset: URL, BLEU: 10.7, chr-F: 0.231 testset: URL, BLEU: 0.8, chr-F: 0.157 testset: URL, BLEU: 44.1, chr-F: 0.634 testset: URL, BLEU: 47.1, chr-F: 0.665 testset: URL, BLEU: 0.5, chr-F: 0.166 testset: URL, BLEU: 12.7, chr-F: 0.337 testset: URL, BLEU: 58.4, chr-F: 0.748 testset: URL, BLEU: 61.3, chr-F: 0.753 testset: URL, BLEU: 48.2, chr-F: 0.670 testset: URL, BLEU: 52.8, chr-F: 0.690 testset: URL, BLEU: 5.7, chr-F: 0.178 testset: URL, BLEU: 0.9, chr-F: 0.159 testset: URL, BLEU: 23.0, chr-F: 0.467 testset: URL, BLEU: 1.0, chr-F: 0.165 testset: URL, BLEU: 14.4, chr-F: 0.310 testset: URL, BLEU: 24.1, chr-F: 0.485 testset: URL, BLEU: 53.6, chr-F: 0.705 testset: URL, BLEU: 15.0, chr-F: 0.415 testset: URL, BLEU: 0.5, chr-F: 0.183 testset: URL, BLEU: 73.6, chr-F: 0.842 testset: URL, BLEU: 4.2, chr-F: 0.191 testset: URL, BLEU: 9.4, chr-F: 0.299 testset: URL, BLEU: 27.7, chr-F: 0.501 testset: URL, BLEU: 48.2, chr-F: 0.687 testset: URL, BLEU: 69.5, chr-F: 0.820 testset: URL, BLEU: 41.1, chr-F: 0.634 testset: URL, BLEU: 49.4, chr-F: 0.660 testset: URL, BLEU: 6.8, chr-F: 0.230 testset: URL, BLEU: 6.9, chr-F: 0.395 testset: URL, BLEU: 9.2, chr-F: 0.323 testset: URL, BLEU: 1.5, chr-F: 0.000 testset: URL, BLEU: 34.5, chr-F: 0.555 testset: URL, BLEU: 22.1, chr-F: 0.447 testset: URL, BLEU: 34.3, chr-F: 0.565 testset: URL, BLEU: 50.5, chr-F: 0.676 testset: URL, BLEU: 57.6, chr-F: 0.764 testset: URL, BLEU: 68.9, chr-F: 0.813 testset: URL, BLEU: 65.0, chr-F: 0.627 testset: URL, BLEU: 43.5, chr-F: 0.559 testset: URL, BLEU: 26.1, chr-F: 0.471 testset: URL, BLEU: 7.1, chr-F: 0.295 testset: URL, BLEU: 34.4, chr-F: 0.551 testset: URL, BLEU: 9.9, chr-F: 0.438 testset: URL, BLEU: 8.6, chr-F: 0.385 testset: URL, BLEU: 21.8, chr-F: 0.431 testset: URL, BLEU: 2.1, chr-F: 0.111 testset: URL, BLEU: 7.6, chr-F: 0.267 testset: URL, BLEU: 0.7, chr-F: 0.198 testset: URL, BLEU: 16.0, chr-F: 0.121 testset: URL, BLEU: 3.8, chr-F: 0.150 testset: URL, BLEU: 14.6, chr-F: 0.375 testset: URL, BLEU: 2.4, chr-F: 0.096 testset: URL, BLEU: 51.8, chr-F: 0.802 testset: URL, BLEU: 64.9, chr-F: 0.784 testset: URL, BLEU: 47.0, chr-F: 0.657 testset: URL, BLEU: 55.8, chr-F: 0.700 testset: URL, BLEU: 0.0, chr-F: 0.060 testset: URL, BLEU: 14.1, chr-F: 0.449 testset: URL, BLEU: 7.5, chr-F: 0.291 testset: URL, BLEU: 70.7, chr-F: 0.812 testset: URL, BLEU: 15.9, chr-F: 0.553 testset: URL, BLEU: 78.7, chr-F: 0.854 testset: URL, BLEU: 67.1, chr-F: 0.799 testset: URL, BLEU: 14.7, chr-F: 0.156 testset: URL, BLEU: 7.7, chr-F: 0.341 testset: URL, BLEU: 8.0, chr-F: 0.334 testset: URL, BLEU: 12.4, chr-F: 0.305 testset: URL, BLEU: 1.1, chr-F: 0.209 testset: URL, BLEU: 4.9, chr-F: 0.244 testset: URL, BLEU: 3.4, chr-F: 0.194 testset: URL, BLEU: 23.6, chr-F: 0.552 testset: URL, BLEU: 0.1, chr-F: 0.066 testset: URL, BLEU: 17.5, chr-F: 0.392 testset: URL, BLEU: 21.0, chr-F: 0.423 testset: URL, BLEU: 17.4, chr-F: 0.368 testset: URL, BLEU: 0.6, chr-F: 0.143 testset: URL, BLEU: 5.3, chr-F: 0.169 testset: URL, BLEU: 1.2, chr-F: 0.149 testset: URL, BLEU: 3.5, chr-F: 0.256 testset: URL, BLEU: 14.4, chr-F: 0.487 testset: URL, BLEU: 26.1, chr-F: 0.423 testset: URL, BLEU: 47.1, chr-F: 0.583 testset: URL, BLEU: 1.5, chr-F: 0.092 testset: URL, BLEU: 35.9, chr-F: 0.518 testset: URL, BLEU: 1.0, chr-F: 0.124 ### System Info: * hf\_name: gem-gem * source\_languages: gem * target\_languages: gem * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] * src\_constituents: {'ksh', 'enm\_Latn', 'got\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\_Hebr', 'ang\_Latn', 'frr', 'non\_Latn', 'yid', 'nds'} * tgt\_constituents: {'ksh', 'enm\_Latn', 'got\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\_Hebr', 'ang\_Latn', 'frr', 'non\_Latn', 'yid', 'nds'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gem * tgt\_alpha3: gem * short\_pair: gem-gem * chrF2\_score: 0.614 * bleu: 42.7 * brevity\_penalty: 0.993 * ref\_len: 73459.0 * src\_name: Germanic languages * tgt\_name: Germanic languages * train\_date: 2020-07-27 * src\_alpha2: gem * tgt\_alpha2: gem * prefer\_old: False * long\_pair: gem-gem * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gem-gem\n\n\n* source group: Germanic languages\n* target group: Germanic languages\n* OPUS readme: gem-gem\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\n* target language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 24.5, chr-F: 0.519\ntestset: URL, BLEU: 18.7, chr-F: 0.495\ntestset: URL, BLEU: 22.8, chr-F: 0.509\ntestset: URL, BLEU: 18.6, chr-F: 0.485\ntestset: URL, BLEU: 22.2, chr-F: 0.507\ntestset: URL, BLEU: 18.3, chr-F: 0.491\ntestset: URL, BLEU: 24.8, chr-F: 0.537\ntestset: URL, BLEU: 19.7, chr-F: 0.499\ntestset: URL, BLEU: 22.9, chr-F: 0.516\ntestset: URL, BLEU: 18.3, chr-F: 0.485\ntestset: URL, BLEU: 23.9, chr-F: 0.524\ntestset: URL, BLEU: 18.5, chr-F: 0.484\ntestset: URL, BLEU: 26.3, chr-F: 0.537\ntestset: URL, BLEU: 21.5, chr-F: 0.506\ntestset: URL, BLEU: 25.7, chr-F: 0.535\ntestset: URL, BLEU: 27.3, chr-F: 0.542\ntestset: URL, BLEU: 24.2, chr-F: 0.534\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.4, chr-F: 0.564\ntestset: URL, BLEU: 27.6, chr-F: 0.545\ntestset: URL, BLEU: 22.8, chr-F: 0.527\ntestset: URL, BLEU: 34.1, chr-F: 0.593\ntestset: URL, BLEU: 32.7, chr-F: 0.595\ntestset: URL, BLEU: 30.6, chr-F: 0.565\ntestset: URL, BLEU: 29.5, chr-F: 0.567\ntestset: URL, BLEU: 0.0, chr-F: 0.053\ntestset: URL, BLEU: 57.8, chr-F: 0.907\ntestset: URL, BLEU: 46.4, chr-F: 0.663\ntestset: URL, BLEU: 57.4, chr-F: 0.717\ntestset: URL, BLEU: 11.3, chr-F: 0.285\ntestset: URL, BLEU: 0.0, chr-F: 0.167\ntestset: URL, BLEU: 1.5, chr-F: 0.178\ntestset: URL, BLEU: 29.0, chr-F: 0.760\ntestset: URL, BLEU: 11.2, chr-F: 0.246\ntestset: URL, BLEU: 53.3, chr-F: 0.708\ntestset: URL, BLEU: 66.0, chr-F: 0.752\ntestset: URL, BLEU: 88.0, chr-F: 0.955\ntestset: URL, BLEU: 59.5, chr-F: 0.443\ntestset: URL, BLEU: 10.7, chr-F: 0.043\ntestset: URL, BLEU: 6.3, chr-F: 0.190\ntestset: URL, BLEU: 1.4, chr-F: 0.212\ntestset: URL, BLEU: 8.1, chr-F: 0.247\ntestset: URL, BLEU: 1.7, chr-F: 0.196\ntestset: URL, BLEU: 10.7, chr-F: 0.105\ntestset: URL, BLEU: 10.7, chr-F: 0.128\ntestset: URL, BLEU: 16.0, chr-F: 0.135\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 1.5, chr-F: 0.136\ntestset: URL, BLEU: 22.7, chr-F: 0.655\ntestset: URL, BLEU: 3.1, chr-F: 0.110\ntestset: URL, BLEU: 47.4, chr-F: 0.676\ntestset: URL, BLEU: 54.7, chr-F: 0.704\ntestset: URL, BLEU: 4.8, chr-F: 0.291\ntestset: URL, BLEU: 9.7, chr-F: 0.120\ntestset: URL, BLEU: 3.8, chr-F: 0.240\ntestset: URL, BLEU: 66.1, chr-F: 0.678\ntestset: URL, BLEU: 78.3, chr-F: 0.563\ntestset: URL, BLEU: 6.2, chr-F: 0.335\ntestset: URL, BLEU: 60.0, chr-F: 0.748\ntestset: URL, BLEU: 68.1, chr-F: 0.812\ntestset: URL, BLEU: 65.0, chr-F: 0.785\ntestset: URL, BLEU: 2.6, chr-F: 0.182\ntestset: URL, BLEU: 9.3, chr-F: 0.226\ntestset: URL, BLEU: 50.3, chr-F: 0.682\ntestset: URL, BLEU: 0.5, chr-F: 0.118\ntestset: URL, BLEU: 49.6, chr-F: 0.679\ntestset: URL, BLEU: 43.4, chr-F: 0.618\ntestset: URL, BLEU: 2.2, chr-F: 0.159\ntestset: URL, BLEU: 0.4, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.355\ntestset: URL, BLEU: 0.7, chr-F: 0.183\ntestset: URL, BLEU: 0.3, chr-F: 0.010\ntestset: URL, BLEU: 1.1, chr-F: 0.130\ntestset: URL, BLEU: 24.3, chr-F: 0.504\ntestset: URL, BLEU: 0.9, chr-F: 0.173\ntestset: URL, BLEU: 15.6, chr-F: 0.304\ntestset: URL, BLEU: 21.2, chr-F: 0.469\ntestset: URL, BLEU: 47.1, chr-F: 0.657\ntestset: URL, BLEU: 43.9, chr-F: 0.646\ntestset: URL, BLEU: 3.0, chr-F: 0.133\ntestset: URL, BLEU: 12.0, chr-F: 0.296\ntestset: URL, BLEU: 0.6, chr-F: 0.137\ntestset: URL, BLEU: 50.6, chr-F: 0.668\ntestset: URL, BLEU: 0.2, chr-F: 0.137\ntestset: URL, BLEU: 3.9, chr-F: 0.229\ntestset: URL, BLEU: 55.2, chr-F: 0.721\ntestset: URL, BLEU: 4.9, chr-F: 0.118\ntestset: URL, BLEU: 52.6, chr-F: 0.684\ntestset: URL, BLEU: 35.4, chr-F: 0.573\ntestset: URL, BLEU: 1.8, chr-F: 0.223\ntestset: URL, BLEU: 7.0, chr-F: 0.312\ntestset: URL, BLEU: 1.2, chr-F: 0.050\ntestset: URL, BLEU: 15.8, chr-F: 0.381\ntestset: URL, BLEU: 0.7, chr-F: 0.170\ntestset: URL, BLEU: 0.3, chr-F: 0.011\ntestset: URL, BLEU: 0.5, chr-F: 0.126\ntestset: URL, BLEU: 20.9, chr-F: 0.463\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 12.8, chr-F: 0.292\ntestset: URL, BLEU: 18.3, chr-F: 0.428\ntestset: URL, BLEU: 47.3, chr-F: 0.657\ntestset: URL, BLEU: 0.3, chr-F: 0.145\ntestset: URL, BLEU: 47.2, chr-F: 0.650\ntestset: URL, BLEU: 4.8, chr-F: 0.177\ntestset: URL, BLEU: 38.1, chr-F: 0.597\ntestset: URL, BLEU: 2.4, chr-F: 0.288\ntestset: URL, BLEU: 52.7, chr-F: 0.677\ntestset: URL, BLEU: 1.1, chr-F: 0.163\ntestset: URL, BLEU: 4.5, chr-F: 0.223\ntestset: URL, BLEU: 22.8, chr-F: 0.401\ntestset: URL, BLEU: 0.4, chr-F: 0.062\ntestset: URL, BLEU: 51.4, chr-F: 0.782\ntestset: URL, BLEU: 33.8, chr-F: 0.473\ntestset: URL, BLEU: 22.4, chr-F: 0.495\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 6.1, chr-F: 0.222\ntestset: URL, BLEU: 59.5, chr-F: 0.651\ntestset: URL, BLEU: 10.5, chr-F: 0.130\ntestset: URL, BLEU: 18.1, chr-F: 0.327\ntestset: URL, BLEU: 38.3, chr-F: 0.546\ntestset: URL, BLEU: 15.6, chr-F: 0.290\ntestset: URL, BLEU: 2.3, chr-F: 0.215\ntestset: URL, BLEU: 2.1, chr-F: 0.035\ntestset: URL, BLEU: 53.7, chr-F: 0.625\ntestset: URL, BLEU: 24.7, chr-F: 0.435\ntestset: URL, BLEU: 12.7, chr-F: 0.116\ntestset: URL, BLEU: 26.3, chr-F: 0.341\ntestset: URL, BLEU: 41.9, chr-F: 0.586\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 7.4, chr-F: 0.263\ntestset: URL, BLEU: 7.0, chr-F: 0.157\ntestset: URL, BLEU: 4.0, chr-F: 0.112\ntestset: URL, BLEU: 1.0, chr-F: 0.135\ntestset: URL, BLEU: 12.4, chr-F: 0.207\ntestset: URL, BLEU: 10.6, chr-F: 0.227\ntestset: URL, BLEU: 1.0, chr-F: 0.058\ntestset: URL, BLEU: 12.7, chr-F: 0.333\ntestset: URL, BLEU: 30.8, chr-F: 0.555\ntestset: URL, BLEU: 31.2, chr-F: 0.506\ntestset: URL, BLEU: 0.0, chr-F: 0.175\ntestset: URL, BLEU: 1.6, chr-F: 0.091\ntestset: URL, BLEU: 1.1, chr-F: 0.254\ntestset: URL, BLEU: 30.4, chr-F: 0.526\ntestset: URL, BLEU: 12.4, chr-F: 0.116\ntestset: URL, BLEU: 43.4, chr-F: 0.637\ntestset: URL, BLEU: 47.1, chr-F: 0.607\ntestset: URL, BLEU: 0.6, chr-F: 0.181\ntestset: URL, BLEU: 30.2, chr-F: 0.587\ntestset: URL, BLEU: 3.1, chr-F: 0.173\ntestset: URL, BLEU: 1.8, chr-F: 0.215\ntestset: URL, BLEU: 0.0, chr-F: 0.045\ntestset: URL, BLEU: 4.1, chr-F: 0.236\ntestset: URL, BLEU: 19.6, chr-F: 0.406\ntestset: URL, BLEU: 15.1, chr-F: 0.329\ntestset: URL, BLEU: 5.8, chr-F: 0.271\ntestset: URL, BLEU: 19.0, chr-F: 0.136\ntestset: URL, BLEU: 1.3, chr-F: 0.119\ntestset: URL, BLEU: 17.1, chr-F: 0.388\ntestset: URL, BLEU: 16.8, chr-F: 0.356\ntestset: URL, BLEU: 3.6, chr-F: 0.174\ntestset: URL, BLEU: 4.7, chr-F: 0.225\ntestset: URL, BLEU: 16.3, chr-F: 0.406\ntestset: URL, BLEU: 0.7, chr-F: 0.154\ntestset: URL, BLEU: 8.6, chr-F: 0.319\ntestset: URL, BLEU: 4.4, chr-F: 0.165\ntestset: URL, BLEU: 0.2, chr-F: 0.041\ntestset: URL, BLEU: 0.2, chr-F: 0.068\ntestset: URL, BLEU: 0.6, chr-F: 0.000\ntestset: URL, BLEU: 15.9, chr-F: 0.373\ntestset: URL, BLEU: 14.7, chr-F: 0.320\ntestset: URL, BLEU: 38.0, chr-F: 0.641\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 67.7, chr-F: 0.836\ntestset: URL, BLEU: 42.6, chr-F: 0.614\ntestset: URL, BLEU: 43.5, chr-F: 0.610\ntestset: URL, BLEU: 12.4, chr-F: 0.123\ntestset: URL, BLEU: 15.6, chr-F: 0.176\ntestset: URL, BLEU: 7.1, chr-F: 0.257\ntestset: URL, BLEU: 53.5, chr-F: 0.690\ntestset: URL, BLEU: 10.7, chr-F: 0.176\ntestset: URL, BLEU: 67.7, chr-F: 0.818\ntestset: URL, BLEU: 11.8, chr-F: 0.393\ntestset: URL, BLEU: 4.0, chr-F: 0.239\ntestset: URL, BLEU: 9.5, chr-F: 0.085\ntestset: URL, BLEU: 36.5, chr-F: 0.529\ntestset: URL, BLEU: 0.0, chr-F: 0.043\ntestset: URL, BLEU: 80.6, chr-F: 0.722\ntestset: URL, BLEU: 40.1, chr-F: 0.581\ntestset: URL, BLEU: 36.1, chr-F: 0.511\ntestset: URL, BLEU: 16.5, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 40.4, chr-F: 0.535\ntestset: URL, BLEU: 19.1, chr-F: 0.582\ntestset: URL, BLEU: 2.4, chr-F: 0.093\ntestset: URL, BLEU: 25.9, chr-F: 0.430\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 42.7, chr-F: 0.614\ntestset: URL, BLEU: 23.0, chr-F: 0.465\ntestset: URL, BLEU: 39.8, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.520\ntestset: URL, BLEU: 3.9, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.127\ntestset: URL, BLEU: 10.7, chr-F: 0.231\ntestset: URL, BLEU: 0.8, chr-F: 0.157\ntestset: URL, BLEU: 44.1, chr-F: 0.634\ntestset: URL, BLEU: 47.1, chr-F: 0.665\ntestset: URL, BLEU: 0.5, chr-F: 0.166\ntestset: URL, BLEU: 12.7, chr-F: 0.337\ntestset: URL, BLEU: 58.4, chr-F: 0.748\ntestset: URL, BLEU: 61.3, chr-F: 0.753\ntestset: URL, BLEU: 48.2, chr-F: 0.670\ntestset: URL, BLEU: 52.8, chr-F: 0.690\ntestset: URL, BLEU: 5.7, chr-F: 0.178\ntestset: URL, BLEU: 0.9, chr-F: 0.159\ntestset: URL, BLEU: 23.0, chr-F: 0.467\ntestset: URL, BLEU: 1.0, chr-F: 0.165\ntestset: URL, BLEU: 14.4, chr-F: 0.310\ntestset: URL, BLEU: 24.1, chr-F: 0.485\ntestset: URL, BLEU: 53.6, chr-F: 0.705\ntestset: URL, BLEU: 15.0, chr-F: 0.415\ntestset: URL, BLEU: 0.5, chr-F: 0.183\ntestset: URL, BLEU: 73.6, chr-F: 0.842\ntestset: URL, BLEU: 4.2, chr-F: 0.191\ntestset: URL, BLEU: 9.4, chr-F: 0.299\ntestset: URL, BLEU: 27.7, chr-F: 0.501\ntestset: URL, BLEU: 48.2, chr-F: 0.687\ntestset: URL, BLEU: 69.5, chr-F: 0.820\ntestset: URL, BLEU: 41.1, chr-F: 0.634\ntestset: URL, BLEU: 49.4, chr-F: 0.660\ntestset: URL, BLEU: 6.8, chr-F: 0.230\ntestset: URL, BLEU: 6.9, chr-F: 0.395\ntestset: URL, BLEU: 9.2, chr-F: 0.323\ntestset: URL, BLEU: 1.5, chr-F: 0.000\ntestset: URL, BLEU: 34.5, chr-F: 0.555\ntestset: URL, BLEU: 22.1, chr-F: 0.447\ntestset: URL, BLEU: 34.3, chr-F: 0.565\ntestset: URL, BLEU: 50.5, chr-F: 0.676\ntestset: URL, BLEU: 57.6, chr-F: 0.764\ntestset: URL, BLEU: 68.9, chr-F: 0.813\ntestset: URL, BLEU: 65.0, chr-F: 0.627\ntestset: URL, BLEU: 43.5, chr-F: 0.559\ntestset: URL, BLEU: 26.1, chr-F: 0.471\ntestset: URL, BLEU: 7.1, chr-F: 0.295\ntestset: URL, BLEU: 34.4, chr-F: 0.551\ntestset: URL, BLEU: 9.9, chr-F: 0.438\ntestset: URL, BLEU: 8.6, chr-F: 0.385\ntestset: URL, BLEU: 21.8, chr-F: 0.431\ntestset: URL, BLEU: 2.1, chr-F: 0.111\ntestset: URL, BLEU: 7.6, chr-F: 0.267\ntestset: URL, BLEU: 0.7, chr-F: 0.198\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 3.8, chr-F: 0.150\ntestset: URL, BLEU: 14.6, chr-F: 0.375\ntestset: URL, BLEU: 2.4, chr-F: 0.096\ntestset: URL, BLEU: 51.8, chr-F: 0.802\ntestset: URL, BLEU: 64.9, chr-F: 0.784\ntestset: URL, BLEU: 47.0, chr-F: 0.657\ntestset: URL, BLEU: 55.8, chr-F: 0.700\ntestset: URL, BLEU: 0.0, chr-F: 0.060\ntestset: URL, BLEU: 14.1, chr-F: 0.449\ntestset: URL, BLEU: 7.5, chr-F: 0.291\ntestset: URL, BLEU: 70.7, chr-F: 0.812\ntestset: URL, BLEU: 15.9, chr-F: 0.553\ntestset: URL, BLEU: 78.7, chr-F: 0.854\ntestset: URL, BLEU: 67.1, chr-F: 0.799\ntestset: URL, BLEU: 14.7, chr-F: 0.156\ntestset: URL, BLEU: 7.7, chr-F: 0.341\ntestset: URL, BLEU: 8.0, chr-F: 0.334\ntestset: URL, BLEU: 12.4, chr-F: 0.305\ntestset: URL, BLEU: 1.1, chr-F: 0.209\ntestset: URL, BLEU: 4.9, chr-F: 0.244\ntestset: URL, BLEU: 3.4, chr-F: 0.194\ntestset: URL, BLEU: 23.6, chr-F: 0.552\ntestset: URL, BLEU: 0.1, chr-F: 0.066\ntestset: URL, BLEU: 17.5, chr-F: 0.392\ntestset: URL, BLEU: 21.0, chr-F: 0.423\ntestset: URL, BLEU: 17.4, chr-F: 0.368\ntestset: URL, BLEU: 0.6, chr-F: 0.143\ntestset: URL, BLEU: 5.3, chr-F: 0.169\ntestset: URL, BLEU: 1.2, chr-F: 0.149\ntestset: URL, BLEU: 3.5, chr-F: 0.256\ntestset: URL, BLEU: 14.4, chr-F: 0.487\ntestset: URL, BLEU: 26.1, chr-F: 0.423\ntestset: URL, BLEU: 47.1, chr-F: 0.583\ntestset: URL, BLEU: 1.5, chr-F: 0.092\ntestset: URL, BLEU: 35.9, chr-F: 0.518\ntestset: URL, BLEU: 1.0, chr-F: 0.124", "### System Info:\n\n\n* hf\\_name: gem-gem\n* source\\_languages: gem\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\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: gem\n* tgt\\_alpha3: gem\n* short\\_pair: gem-gem\n* chrF2\\_score: 0.614\n* bleu: 42.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 73459.0\n* src\\_name: Germanic languages\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gem\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: gem-gem\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 #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gem-gem\n\n\n* source group: Germanic languages\n* target group: Germanic languages\n* OPUS readme: gem-gem\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\n* target language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 24.5, chr-F: 0.519\ntestset: URL, BLEU: 18.7, chr-F: 0.495\ntestset: URL, BLEU: 22.8, chr-F: 0.509\ntestset: URL, BLEU: 18.6, chr-F: 0.485\ntestset: URL, BLEU: 22.2, chr-F: 0.507\ntestset: URL, BLEU: 18.3, chr-F: 0.491\ntestset: URL, BLEU: 24.8, chr-F: 0.537\ntestset: URL, BLEU: 19.7, chr-F: 0.499\ntestset: URL, BLEU: 22.9, chr-F: 0.516\ntestset: URL, BLEU: 18.3, chr-F: 0.485\ntestset: URL, BLEU: 23.9, chr-F: 0.524\ntestset: URL, BLEU: 18.5, chr-F: 0.484\ntestset: URL, BLEU: 26.3, chr-F: 0.537\ntestset: URL, BLEU: 21.5, chr-F: 0.506\ntestset: URL, BLEU: 25.7, chr-F: 0.535\ntestset: URL, BLEU: 27.3, chr-F: 0.542\ntestset: URL, BLEU: 24.2, chr-F: 0.534\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.4, chr-F: 0.564\ntestset: URL, BLEU: 27.6, chr-F: 0.545\ntestset: URL, BLEU: 22.8, chr-F: 0.527\ntestset: URL, BLEU: 34.1, chr-F: 0.593\ntestset: URL, BLEU: 32.7, chr-F: 0.595\ntestset: URL, BLEU: 30.6, chr-F: 0.565\ntestset: URL, BLEU: 29.5, chr-F: 0.567\ntestset: URL, BLEU: 0.0, chr-F: 0.053\ntestset: URL, BLEU: 57.8, chr-F: 0.907\ntestset: URL, BLEU: 46.4, chr-F: 0.663\ntestset: URL, BLEU: 57.4, chr-F: 0.717\ntestset: URL, BLEU: 11.3, chr-F: 0.285\ntestset: URL, BLEU: 0.0, chr-F: 0.167\ntestset: URL, BLEU: 1.5, chr-F: 0.178\ntestset: URL, BLEU: 29.0, chr-F: 0.760\ntestset: URL, BLEU: 11.2, chr-F: 0.246\ntestset: URL, BLEU: 53.3, chr-F: 0.708\ntestset: URL, BLEU: 66.0, chr-F: 0.752\ntestset: URL, BLEU: 88.0, chr-F: 0.955\ntestset: URL, BLEU: 59.5, chr-F: 0.443\ntestset: URL, BLEU: 10.7, chr-F: 0.043\ntestset: URL, BLEU: 6.3, chr-F: 0.190\ntestset: URL, BLEU: 1.4, chr-F: 0.212\ntestset: URL, BLEU: 8.1, chr-F: 0.247\ntestset: URL, BLEU: 1.7, chr-F: 0.196\ntestset: URL, BLEU: 10.7, chr-F: 0.105\ntestset: URL, BLEU: 10.7, chr-F: 0.128\ntestset: URL, BLEU: 16.0, chr-F: 0.135\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 1.5, chr-F: 0.136\ntestset: URL, BLEU: 22.7, chr-F: 0.655\ntestset: URL, BLEU: 3.1, chr-F: 0.110\ntestset: URL, BLEU: 47.4, chr-F: 0.676\ntestset: URL, BLEU: 54.7, chr-F: 0.704\ntestset: URL, BLEU: 4.8, chr-F: 0.291\ntestset: URL, BLEU: 9.7, chr-F: 0.120\ntestset: URL, BLEU: 3.8, chr-F: 0.240\ntestset: URL, BLEU: 66.1, chr-F: 0.678\ntestset: URL, BLEU: 78.3, chr-F: 0.563\ntestset: URL, BLEU: 6.2, chr-F: 0.335\ntestset: URL, BLEU: 60.0, chr-F: 0.748\ntestset: URL, BLEU: 68.1, chr-F: 0.812\ntestset: URL, BLEU: 65.0, chr-F: 0.785\ntestset: URL, BLEU: 2.6, chr-F: 0.182\ntestset: URL, BLEU: 9.3, chr-F: 0.226\ntestset: URL, BLEU: 50.3, chr-F: 0.682\ntestset: URL, BLEU: 0.5, chr-F: 0.118\ntestset: URL, BLEU: 49.6, chr-F: 0.679\ntestset: URL, BLEU: 43.4, chr-F: 0.618\ntestset: URL, BLEU: 2.2, chr-F: 0.159\ntestset: URL, BLEU: 0.4, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.355\ntestset: URL, BLEU: 0.7, chr-F: 0.183\ntestset: URL, BLEU: 0.3, chr-F: 0.010\ntestset: URL, BLEU: 1.1, chr-F: 0.130\ntestset: URL, BLEU: 24.3, chr-F: 0.504\ntestset: URL, BLEU: 0.9, chr-F: 0.173\ntestset: URL, BLEU: 15.6, chr-F: 0.304\ntestset: URL, BLEU: 21.2, chr-F: 0.469\ntestset: URL, BLEU: 47.1, chr-F: 0.657\ntestset: URL, BLEU: 43.9, chr-F: 0.646\ntestset: URL, BLEU: 3.0, chr-F: 0.133\ntestset: URL, BLEU: 12.0, chr-F: 0.296\ntestset: URL, BLEU: 0.6, chr-F: 0.137\ntestset: URL, BLEU: 50.6, chr-F: 0.668\ntestset: URL, BLEU: 0.2, chr-F: 0.137\ntestset: URL, BLEU: 3.9, chr-F: 0.229\ntestset: URL, BLEU: 55.2, chr-F: 0.721\ntestset: URL, BLEU: 4.9, chr-F: 0.118\ntestset: URL, BLEU: 52.6, chr-F: 0.684\ntestset: URL, BLEU: 35.4, chr-F: 0.573\ntestset: URL, BLEU: 1.8, chr-F: 0.223\ntestset: URL, BLEU: 7.0, chr-F: 0.312\ntestset: URL, BLEU: 1.2, chr-F: 0.050\ntestset: URL, BLEU: 15.8, chr-F: 0.381\ntestset: URL, BLEU: 0.7, chr-F: 0.170\ntestset: URL, BLEU: 0.3, chr-F: 0.011\ntestset: URL, BLEU: 0.5, chr-F: 0.126\ntestset: URL, BLEU: 20.9, chr-F: 0.463\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 12.8, chr-F: 0.292\ntestset: URL, BLEU: 18.3, chr-F: 0.428\ntestset: URL, BLEU: 47.3, chr-F: 0.657\ntestset: URL, BLEU: 0.3, chr-F: 0.145\ntestset: URL, BLEU: 47.2, chr-F: 0.650\ntestset: URL, BLEU: 4.8, chr-F: 0.177\ntestset: URL, BLEU: 38.1, chr-F: 0.597\ntestset: URL, BLEU: 2.4, chr-F: 0.288\ntestset: URL, BLEU: 52.7, chr-F: 0.677\ntestset: URL, BLEU: 1.1, chr-F: 0.163\ntestset: URL, BLEU: 4.5, chr-F: 0.223\ntestset: URL, BLEU: 22.8, chr-F: 0.401\ntestset: URL, BLEU: 0.4, chr-F: 0.062\ntestset: URL, BLEU: 51.4, chr-F: 0.782\ntestset: URL, BLEU: 33.8, chr-F: 0.473\ntestset: URL, BLEU: 22.4, chr-F: 0.495\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 6.1, chr-F: 0.222\ntestset: URL, BLEU: 59.5, chr-F: 0.651\ntestset: URL, BLEU: 10.5, chr-F: 0.130\ntestset: URL, BLEU: 18.1, chr-F: 0.327\ntestset: URL, BLEU: 38.3, chr-F: 0.546\ntestset: URL, BLEU: 15.6, chr-F: 0.290\ntestset: URL, BLEU: 2.3, chr-F: 0.215\ntestset: URL, BLEU: 2.1, chr-F: 0.035\ntestset: URL, BLEU: 53.7, chr-F: 0.625\ntestset: URL, BLEU: 24.7, chr-F: 0.435\ntestset: URL, BLEU: 12.7, chr-F: 0.116\ntestset: URL, BLEU: 26.3, chr-F: 0.341\ntestset: URL, BLEU: 41.9, chr-F: 0.586\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 7.4, chr-F: 0.263\ntestset: URL, BLEU: 7.0, chr-F: 0.157\ntestset: URL, BLEU: 4.0, chr-F: 0.112\ntestset: URL, BLEU: 1.0, chr-F: 0.135\ntestset: URL, BLEU: 12.4, chr-F: 0.207\ntestset: URL, BLEU: 10.6, chr-F: 0.227\ntestset: URL, BLEU: 1.0, chr-F: 0.058\ntestset: URL, BLEU: 12.7, chr-F: 0.333\ntestset: URL, BLEU: 30.8, chr-F: 0.555\ntestset: URL, BLEU: 31.2, chr-F: 0.506\ntestset: URL, BLEU: 0.0, chr-F: 0.175\ntestset: URL, BLEU: 1.6, chr-F: 0.091\ntestset: URL, BLEU: 1.1, chr-F: 0.254\ntestset: URL, BLEU: 30.4, chr-F: 0.526\ntestset: URL, BLEU: 12.4, chr-F: 0.116\ntestset: URL, BLEU: 43.4, chr-F: 0.637\ntestset: URL, BLEU: 47.1, chr-F: 0.607\ntestset: URL, BLEU: 0.6, chr-F: 0.181\ntestset: URL, BLEU: 30.2, chr-F: 0.587\ntestset: URL, BLEU: 3.1, chr-F: 0.173\ntestset: URL, BLEU: 1.8, chr-F: 0.215\ntestset: URL, BLEU: 0.0, chr-F: 0.045\ntestset: URL, BLEU: 4.1, chr-F: 0.236\ntestset: URL, BLEU: 19.6, chr-F: 0.406\ntestset: URL, BLEU: 15.1, chr-F: 0.329\ntestset: URL, BLEU: 5.8, chr-F: 0.271\ntestset: URL, BLEU: 19.0, chr-F: 0.136\ntestset: URL, BLEU: 1.3, chr-F: 0.119\ntestset: URL, BLEU: 17.1, chr-F: 0.388\ntestset: URL, BLEU: 16.8, chr-F: 0.356\ntestset: URL, BLEU: 3.6, chr-F: 0.174\ntestset: URL, BLEU: 4.7, chr-F: 0.225\ntestset: URL, BLEU: 16.3, chr-F: 0.406\ntestset: URL, BLEU: 0.7, chr-F: 0.154\ntestset: URL, BLEU: 8.6, chr-F: 0.319\ntestset: URL, BLEU: 4.4, chr-F: 0.165\ntestset: URL, BLEU: 0.2, chr-F: 0.041\ntestset: URL, BLEU: 0.2, chr-F: 0.068\ntestset: URL, BLEU: 0.6, chr-F: 0.000\ntestset: URL, BLEU: 15.9, chr-F: 0.373\ntestset: URL, BLEU: 14.7, chr-F: 0.320\ntestset: URL, BLEU: 38.0, chr-F: 0.641\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 67.7, chr-F: 0.836\ntestset: URL, BLEU: 42.6, chr-F: 0.614\ntestset: URL, BLEU: 43.5, chr-F: 0.610\ntestset: URL, BLEU: 12.4, chr-F: 0.123\ntestset: URL, BLEU: 15.6, chr-F: 0.176\ntestset: URL, BLEU: 7.1, chr-F: 0.257\ntestset: URL, BLEU: 53.5, chr-F: 0.690\ntestset: URL, BLEU: 10.7, chr-F: 0.176\ntestset: URL, BLEU: 67.7, chr-F: 0.818\ntestset: URL, BLEU: 11.8, chr-F: 0.393\ntestset: URL, BLEU: 4.0, chr-F: 0.239\ntestset: URL, BLEU: 9.5, chr-F: 0.085\ntestset: URL, BLEU: 36.5, chr-F: 0.529\ntestset: URL, BLEU: 0.0, chr-F: 0.043\ntestset: URL, BLEU: 80.6, chr-F: 0.722\ntestset: URL, BLEU: 40.1, chr-F: 0.581\ntestset: URL, BLEU: 36.1, chr-F: 0.511\ntestset: URL, BLEU: 16.5, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 40.4, chr-F: 0.535\ntestset: URL, BLEU: 19.1, chr-F: 0.582\ntestset: URL, BLEU: 2.4, chr-F: 0.093\ntestset: URL, BLEU: 25.9, chr-F: 0.430\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 42.7, chr-F: 0.614\ntestset: URL, BLEU: 23.0, chr-F: 0.465\ntestset: URL, BLEU: 39.8, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.520\ntestset: URL, BLEU: 3.9, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.127\ntestset: URL, BLEU: 10.7, chr-F: 0.231\ntestset: URL, BLEU: 0.8, chr-F: 0.157\ntestset: URL, BLEU: 44.1, chr-F: 0.634\ntestset: URL, BLEU: 47.1, chr-F: 0.665\ntestset: URL, BLEU: 0.5, chr-F: 0.166\ntestset: URL, BLEU: 12.7, chr-F: 0.337\ntestset: URL, BLEU: 58.4, chr-F: 0.748\ntestset: URL, BLEU: 61.3, chr-F: 0.753\ntestset: URL, BLEU: 48.2, chr-F: 0.670\ntestset: URL, BLEU: 52.8, chr-F: 0.690\ntestset: URL, BLEU: 5.7, chr-F: 0.178\ntestset: URL, BLEU: 0.9, chr-F: 0.159\ntestset: URL, BLEU: 23.0, chr-F: 0.467\ntestset: URL, BLEU: 1.0, chr-F: 0.165\ntestset: URL, BLEU: 14.4, chr-F: 0.310\ntestset: URL, BLEU: 24.1, chr-F: 0.485\ntestset: URL, BLEU: 53.6, chr-F: 0.705\ntestset: URL, BLEU: 15.0, chr-F: 0.415\ntestset: URL, BLEU: 0.5, chr-F: 0.183\ntestset: URL, BLEU: 73.6, chr-F: 0.842\ntestset: URL, BLEU: 4.2, chr-F: 0.191\ntestset: URL, BLEU: 9.4, chr-F: 0.299\ntestset: URL, BLEU: 27.7, chr-F: 0.501\ntestset: URL, BLEU: 48.2, chr-F: 0.687\ntestset: URL, BLEU: 69.5, chr-F: 0.820\ntestset: URL, BLEU: 41.1, chr-F: 0.634\ntestset: URL, BLEU: 49.4, chr-F: 0.660\ntestset: URL, BLEU: 6.8, chr-F: 0.230\ntestset: URL, BLEU: 6.9, chr-F: 0.395\ntestset: URL, BLEU: 9.2, chr-F: 0.323\ntestset: URL, BLEU: 1.5, chr-F: 0.000\ntestset: URL, BLEU: 34.5, chr-F: 0.555\ntestset: URL, BLEU: 22.1, chr-F: 0.447\ntestset: URL, BLEU: 34.3, chr-F: 0.565\ntestset: URL, BLEU: 50.5, chr-F: 0.676\ntestset: URL, BLEU: 57.6, chr-F: 0.764\ntestset: URL, BLEU: 68.9, chr-F: 0.813\ntestset: URL, BLEU: 65.0, chr-F: 0.627\ntestset: URL, BLEU: 43.5, chr-F: 0.559\ntestset: URL, BLEU: 26.1, chr-F: 0.471\ntestset: URL, BLEU: 7.1, chr-F: 0.295\ntestset: URL, BLEU: 34.4, chr-F: 0.551\ntestset: URL, BLEU: 9.9, chr-F: 0.438\ntestset: URL, BLEU: 8.6, chr-F: 0.385\ntestset: URL, BLEU: 21.8, chr-F: 0.431\ntestset: URL, BLEU: 2.1, chr-F: 0.111\ntestset: URL, BLEU: 7.6, chr-F: 0.267\ntestset: URL, BLEU: 0.7, chr-F: 0.198\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 3.8, chr-F: 0.150\ntestset: URL, BLEU: 14.6, chr-F: 0.375\ntestset: URL, BLEU: 2.4, chr-F: 0.096\ntestset: URL, BLEU: 51.8, chr-F: 0.802\ntestset: URL, BLEU: 64.9, chr-F: 0.784\ntestset: URL, BLEU: 47.0, chr-F: 0.657\ntestset: URL, BLEU: 55.8, chr-F: 0.700\ntestset: URL, BLEU: 0.0, chr-F: 0.060\ntestset: URL, BLEU: 14.1, chr-F: 0.449\ntestset: URL, BLEU: 7.5, chr-F: 0.291\ntestset: URL, BLEU: 70.7, chr-F: 0.812\ntestset: URL, BLEU: 15.9, chr-F: 0.553\ntestset: URL, BLEU: 78.7, chr-F: 0.854\ntestset: URL, BLEU: 67.1, chr-F: 0.799\ntestset: URL, BLEU: 14.7, chr-F: 0.156\ntestset: URL, BLEU: 7.7, chr-F: 0.341\ntestset: URL, BLEU: 8.0, chr-F: 0.334\ntestset: URL, BLEU: 12.4, chr-F: 0.305\ntestset: URL, BLEU: 1.1, chr-F: 0.209\ntestset: URL, BLEU: 4.9, chr-F: 0.244\ntestset: URL, BLEU: 3.4, chr-F: 0.194\ntestset: URL, BLEU: 23.6, chr-F: 0.552\ntestset: URL, BLEU: 0.1, chr-F: 0.066\ntestset: URL, BLEU: 17.5, chr-F: 0.392\ntestset: URL, BLEU: 21.0, chr-F: 0.423\ntestset: URL, BLEU: 17.4, chr-F: 0.368\ntestset: URL, BLEU: 0.6, chr-F: 0.143\ntestset: URL, BLEU: 5.3, chr-F: 0.169\ntestset: URL, BLEU: 1.2, chr-F: 0.149\ntestset: URL, BLEU: 3.5, chr-F: 0.256\ntestset: URL, BLEU: 14.4, chr-F: 0.487\ntestset: URL, BLEU: 26.1, chr-F: 0.423\ntestset: URL, BLEU: 47.1, chr-F: 0.583\ntestset: URL, BLEU: 1.5, chr-F: 0.092\ntestset: URL, BLEU: 35.9, chr-F: 0.518\ntestset: URL, BLEU: 1.0, chr-F: 0.124", "### System Info:\n\n\n* hf\\_name: gem-gem\n* source\\_languages: gem\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\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: gem\n* tgt\\_alpha3: gem\n* short\\_pair: gem-gem\n* chrF2\\_score: 0.614\n* bleu: 42.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 73459.0\n* src\\_name: Germanic languages\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gem\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: gem-gem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 79, 6721, 740 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #sv #af #nn #fy #fo #de #nb #nl #is #en #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gem-gem\n\n\n* source group: Germanic languages\n* target group: Germanic languages\n* OPUS readme: gem-gem\n* model: transformer\n* source language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\n* target language(s): afr ang\\_Latn dan deu eng enm\\_Latn fao frr fry gos got\\_Goth gsw isl ksh ltz nds nld nno nob nob\\_Hebr non\\_Latn pdc sco stq swe swg yid\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: 24.5, chr-F: 0.519\ntestset: URL, BLEU: 18.7, chr-F: 0.495\ntestset: URL, BLEU: 22.8, chr-F: 0.509\ntestset: URL, BLEU: 18.6, chr-F: 0.485\ntestset: URL, BLEU: 22.2, chr-F: 0.507\ntestset: URL, BLEU: 18.3, chr-F: 0.491\ntestset: URL, BLEU: 24.8, chr-F: 0.537\ntestset: URL, BLEU: 19.7, chr-F: 0.499\ntestset: URL, BLEU: 22.9, chr-F: 0.516\ntestset: URL, BLEU: 18.3, chr-F: 0.485\ntestset: URL, BLEU: 23.9, chr-F: 0.524\ntestset: URL, BLEU: 18.5, chr-F: 0.484\ntestset: URL, BLEU: 26.3, chr-F: 0.537\ntestset: URL, BLEU: 21.5, chr-F: 0.506\ntestset: URL, BLEU: 25.7, chr-F: 0.535\ntestset: URL, BLEU: 27.3, chr-F: 0.542\ntestset: URL, BLEU: 24.2, chr-F: 0.534\ntestset: URL, BLEU: 31.8, chr-F: 0.584\ntestset: URL, BLEU: 28.4, chr-F: 0.564\ntestset: URL, BLEU: 27.6, chr-F: 0.545\ntestset: URL, BLEU: 22.8, chr-F: 0.527\ntestset: URL, BLEU: 34.1, chr-F: 0.593\ntestset: URL, BLEU: 32.7, chr-F: 0.595\ntestset: URL, BLEU: 30.6, chr-F: 0.565\ntestset: URL, BLEU: 29.5, chr-F: 0.567\ntestset: URL, BLEU: 0.0, chr-F: 0.053\ntestset: URL, BLEU: 57.8, chr-F: 0.907\ntestset: URL, BLEU: 46.4, chr-F: 0.663\ntestset: URL, BLEU: 57.4, chr-F: 0.717\ntestset: URL, BLEU: 11.3, chr-F: 0.285\ntestset: URL, BLEU: 0.0, chr-F: 0.167\ntestset: URL, BLEU: 1.5, chr-F: 0.178\ntestset: URL, BLEU: 29.0, chr-F: 0.760\ntestset: URL, BLEU: 11.2, chr-F: 0.246\ntestset: URL, BLEU: 53.3, chr-F: 0.708\ntestset: URL, BLEU: 66.0, chr-F: 0.752\ntestset: URL, BLEU: 88.0, chr-F: 0.955\ntestset: URL, BLEU: 59.5, chr-F: 0.443\ntestset: URL, BLEU: 10.7, chr-F: 0.043\ntestset: URL, BLEU: 6.3, chr-F: 0.190\ntestset: URL, BLEU: 1.4, chr-F: 0.212\ntestset: URL, BLEU: 8.1, chr-F: 0.247\ntestset: URL, BLEU: 1.7, chr-F: 0.196\ntestset: URL, BLEU: 10.7, chr-F: 0.105\ntestset: URL, BLEU: 10.7, chr-F: 0.128\ntestset: URL, BLEU: 16.0, chr-F: 0.135\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 1.5, chr-F: 0.136\ntestset: URL, BLEU: 22.7, chr-F: 0.655\ntestset: URL, BLEU: 3.1, chr-F: 0.110\ntestset: URL, BLEU: 47.4, chr-F: 0.676\ntestset: URL, BLEU: 54.7, chr-F: 0.704\ntestset: URL, BLEU: 4.8, chr-F: 0.291\ntestset: URL, BLEU: 9.7, chr-F: 0.120\ntestset: URL, BLEU: 3.8, chr-F: 0.240\ntestset: URL, BLEU: 66.1, chr-F: 0.678\ntestset: URL, BLEU: 78.3, chr-F: 0.563\ntestset: URL, BLEU: 6.2, chr-F: 0.335\ntestset: URL, BLEU: 60.0, chr-F: 0.748\ntestset: URL, BLEU: 68.1, chr-F: 0.812\ntestset: URL, BLEU: 65.0, chr-F: 0.785\ntestset: URL, BLEU: 2.6, chr-F: 0.182\ntestset: URL, BLEU: 9.3, chr-F: 0.226\ntestset: URL, BLEU: 50.3, chr-F: 0.682\ntestset: URL, BLEU: 0.5, chr-F: 0.118\ntestset: URL, BLEU: 49.6, chr-F: 0.679\ntestset: URL, BLEU: 43.4, chr-F: 0.618\ntestset: URL, BLEU: 2.2, chr-F: 0.159\ntestset: URL, BLEU: 0.4, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.355\ntestset: URL, BLEU: 0.7, chr-F: 0.183\ntestset: URL, BLEU: 0.3, chr-F: 0.010\ntestset: URL, BLEU: 1.1, chr-F: 0.130\ntestset: URL, BLEU: 24.3, chr-F: 0.504\ntestset: URL, BLEU: 0.9, chr-F: 0.173\ntestset: URL, BLEU: 15.6, chr-F: 0.304\ntestset: URL, BLEU: 21.2, chr-F: 0.469\ntestset: URL, BLEU: 47.1, chr-F: 0.657\ntestset: URL, BLEU: 43.9, chr-F: 0.646\ntestset: URL, BLEU: 3.0, chr-F: 0.133\ntestset: URL, BLEU: 12.0, chr-F: 0.296\ntestset: URL, BLEU: 0.6, chr-F: 0.137\ntestset: URL, BLEU: 50.6, chr-F: 0.668\ntestset: URL, BLEU: 0.2, chr-F: 0.137\ntestset: URL, BLEU: 3.9, chr-F: 0.229\ntestset: URL, BLEU: 55.2, chr-F: 0.721\ntestset: URL, BLEU: 4.9, chr-F: 0.118\ntestset: URL, BLEU: 52.6, chr-F: 0.684\ntestset: URL, BLEU: 35.4, chr-F: 0.573\ntestset: URL, BLEU: 1.8, chr-F: 0.223\ntestset: URL, BLEU: 7.0, chr-F: 0.312\ntestset: URL, BLEU: 1.2, chr-F: 0.050\ntestset: URL, BLEU: 15.8, chr-F: 0.381\ntestset: URL, BLEU: 0.7, chr-F: 0.170\ntestset: URL, BLEU: 0.3, chr-F: 0.011\ntestset: URL, BLEU: 0.5, chr-F: 0.126\ntestset: URL, BLEU: 20.9, chr-F: 0.463\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 12.8, chr-F: 0.292\ntestset: URL, BLEU: 18.3, chr-F: 0.428\ntestset: URL, BLEU: 47.3, chr-F: 0.657\ntestset: URL, BLEU: 0.3, chr-F: 0.145\ntestset: URL, BLEU: 47.2, chr-F: 0.650\ntestset: URL, BLEU: 4.8, chr-F: 0.177\ntestset: URL, BLEU: 38.1, chr-F: 0.597\ntestset: URL, BLEU: 2.4, chr-F: 0.288\ntestset: URL, BLEU: 52.7, chr-F: 0.677\ntestset: URL, BLEU: 1.1, chr-F: 0.163\ntestset: URL, BLEU: 4.5, chr-F: 0.223\ntestset: URL, BLEU: 22.8, chr-F: 0.401\ntestset: URL, BLEU: 0.4, chr-F: 0.062\ntestset: URL, BLEU: 51.4, chr-F: 0.782\ntestset: URL, BLEU: 33.8, chr-F: 0.473\ntestset: URL, BLEU: 22.4, chr-F: 0.495\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 6.1, chr-F: 0.222\ntestset: URL, BLEU: 59.5, chr-F: 0.651\ntestset: URL, BLEU: 10.5, chr-F: 0.130\ntestset: URL, BLEU: 18.1, chr-F: 0.327\ntestset: URL, BLEU: 38.3, chr-F: 0.546\ntestset: URL, BLEU: 15.6, chr-F: 0.290\ntestset: URL, BLEU: 2.3, chr-F: 0.215\ntestset: URL, BLEU: 2.1, chr-F: 0.035\ntestset: URL, BLEU: 53.7, chr-F: 0.625\ntestset: URL, BLEU: 24.7, chr-F: 0.435\ntestset: URL, BLEU: 12.7, chr-F: 0.116\ntestset: URL, BLEU: 26.3, chr-F: 0.341\ntestset: URL, BLEU: 41.9, chr-F: 0.586\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 7.4, chr-F: 0.263\ntestset: URL, BLEU: 7.0, chr-F: 0.157\ntestset: URL, BLEU: 4.0, chr-F: 0.112\ntestset: URL, BLEU: 1.0, chr-F: 0.135\ntestset: URL, BLEU: 12.4, chr-F: 0.207\ntestset: URL, BLEU: 10.6, chr-F: 0.227\ntestset: URL, BLEU: 1.0, chr-F: 0.058\ntestset: URL, BLEU: 12.7, chr-F: 0.333\ntestset: URL, BLEU: 30.8, chr-F: 0.555\ntestset: URL, BLEU: 31.2, chr-F: 0.506\ntestset: URL, BLEU: 0.0, chr-F: 0.175\ntestset: URL, BLEU: 1.6, chr-F: 0.091\ntestset: URL, BLEU: 1.1, chr-F: 0.254\ntestset: URL, BLEU: 30.4, chr-F: 0.526\ntestset: URL, BLEU: 12.4, chr-F: 0.116\ntestset: URL, BLEU: 43.4, chr-F: 0.637\ntestset: URL, BLEU: 47.1, chr-F: 0.607\ntestset: URL, BLEU: 0.6, chr-F: 0.181\ntestset: URL, BLEU: 30.2, chr-F: 0.587\ntestset: URL, BLEU: 3.1, chr-F: 0.173\ntestset: URL, BLEU: 1.8, chr-F: 0.215\ntestset: URL, BLEU: 0.0, chr-F: 0.045\ntestset: URL, BLEU: 4.1, chr-F: 0.236\ntestset: URL, BLEU: 19.6, chr-F: 0.406\ntestset: URL, BLEU: 15.1, chr-F: 0.329\ntestset: URL, BLEU: 5.8, chr-F: 0.271\ntestset: URL, BLEU: 19.0, chr-F: 0.136\ntestset: URL, BLEU: 1.3, chr-F: 0.119\ntestset: URL, BLEU: 17.1, chr-F: 0.388\ntestset: URL, BLEU: 16.8, chr-F: 0.356\ntestset: URL, BLEU: 3.6, chr-F: 0.174\ntestset: URL, BLEU: 4.7, chr-F: 0.225\ntestset: URL, BLEU: 16.3, chr-F: 0.406\ntestset: URL, BLEU: 0.7, chr-F: 0.154\ntestset: URL, BLEU: 8.6, chr-F: 0.319\ntestset: URL, BLEU: 4.4, chr-F: 0.165\ntestset: URL, BLEU: 0.2, chr-F: 0.041\ntestset: URL, BLEU: 0.2, chr-F: 0.068\ntestset: URL, BLEU: 0.6, chr-F: 0.000\ntestset: URL, BLEU: 15.9, chr-F: 0.373\ntestset: URL, BLEU: 14.7, chr-F: 0.320\ntestset: URL, BLEU: 38.0, chr-F: 0.641\ntestset: URL, BLEU: 0.0, chr-F: 0.037\ntestset: URL, BLEU: 67.7, chr-F: 0.836\ntestset: URL, BLEU: 42.6, chr-F: 0.614\ntestset: URL, BLEU: 43.5, chr-F: 0.610\ntestset: URL, BLEU: 12.4, chr-F: 0.123\ntestset: URL, BLEU: 15.6, chr-F: 0.176\ntestset: URL, BLEU: 7.1, chr-F: 0.257\ntestset: URL, BLEU: 53.5, chr-F: 0.690\ntestset: URL, BLEU: 10.7, chr-F: 0.176\ntestset: URL, BLEU: 67.7, chr-F: 0.818\ntestset: URL, BLEU: 11.8, chr-F: 0.393\ntestset: URL, BLEU: 4.0, chr-F: 0.239\ntestset: URL, BLEU: 9.5, chr-F: 0.085\ntestset: URL, BLEU: 36.5, chr-F: 0.529\ntestset: URL, BLEU: 0.0, chr-F: 0.043\ntestset: URL, BLEU: 80.6, chr-F: 0.722\ntestset: URL, BLEU: 40.1, chr-F: 0.581\ntestset: URL, BLEU: 36.1, chr-F: 0.511\ntestset: URL, BLEU: 16.5, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 40.4, chr-F: 0.535\ntestset: URL, BLEU: 19.1, chr-F: 0.582\ntestset: URL, BLEU: 2.4, chr-F: 0.093\ntestset: URL, BLEU: 25.9, chr-F: 0.430\ntestset: URL, BLEU: 1.5, chr-F: 0.160\ntestset: URL, BLEU: 42.7, chr-F: 0.614\ntestset: URL, BLEU: 23.0, chr-F: 0.465\ntestset: URL, BLEU: 39.8, chr-F: 0.610\ntestset: URL, BLEU: 32.0, chr-F: 0.520\ntestset: URL, BLEU: 3.9, chr-F: 0.156\ntestset: URL, BLEU: 10.7, chr-F: 0.127\ntestset: URL, BLEU: 10.7, chr-F: 0.231\ntestset: URL, BLEU: 0.8, chr-F: 0.157\ntestset: URL, BLEU: 44.1, chr-F: 0.634\ntestset: URL, BLEU: 47.1, chr-F: 0.665\ntestset: URL, BLEU: 0.5, chr-F: 0.166\ntestset: URL, BLEU: 12.7, chr-F: 0.337\ntestset: URL, BLEU: 58.4, chr-F: 0.748\ntestset: URL, BLEU: 61.3, chr-F: 0.753\ntestset: URL, BLEU: 48.2, chr-F: 0.670\ntestset: URL, BLEU: 52.8, chr-F: 0.690\ntestset: URL, BLEU: 5.7, chr-F: 0.178\ntestset: URL, BLEU: 0.9, chr-F: 0.159\ntestset: URL, BLEU: 23.0, chr-F: 0.467\ntestset: URL, BLEU: 1.0, chr-F: 0.165\ntestset: URL, BLEU: 14.4, chr-F: 0.310\ntestset: URL, BLEU: 24.1, chr-F: 0.485\ntestset: URL, BLEU: 53.6, chr-F: 0.705\ntestset: URL, BLEU: 15.0, chr-F: 0.415\ntestset: URL, BLEU: 0.5, chr-F: 0.183\ntestset: URL, BLEU: 73.6, chr-F: 0.842\ntestset: URL, BLEU: 4.2, chr-F: 0.191\ntestset: URL, BLEU: 9.4, chr-F: 0.299\ntestset: URL, BLEU: 27.7, chr-F: 0.501\ntestset: URL, BLEU: 48.2, chr-F: 0.687\ntestset: URL, BLEU: 69.5, chr-F: 0.820\ntestset: URL, BLEU: 41.1, chr-F: 0.634\ntestset: URL, BLEU: 49.4, chr-F: 0.660\ntestset: URL, BLEU: 6.8, chr-F: 0.230\ntestset: URL, BLEU: 6.9, chr-F: 0.395\ntestset: URL, BLEU: 9.2, chr-F: 0.323\ntestset: URL, BLEU: 1.5, chr-F: 0.000\ntestset: URL, BLEU: 34.5, chr-F: 0.555\ntestset: URL, BLEU: 22.1, chr-F: 0.447\ntestset: URL, BLEU: 34.3, chr-F: 0.565\ntestset: URL, BLEU: 50.5, chr-F: 0.676\ntestset: URL, BLEU: 57.6, chr-F: 0.764\ntestset: URL, BLEU: 68.9, chr-F: 0.813\ntestset: URL, BLEU: 65.0, chr-F: 0.627\ntestset: URL, BLEU: 43.5, chr-F: 0.559\ntestset: URL, BLEU: 26.1, chr-F: 0.471\ntestset: URL, BLEU: 7.1, chr-F: 0.295\ntestset: URL, BLEU: 34.4, chr-F: 0.551\ntestset: URL, BLEU: 9.9, chr-F: 0.438\ntestset: URL, BLEU: 8.6, chr-F: 0.385\ntestset: URL, BLEU: 21.8, chr-F: 0.431\ntestset: URL, BLEU: 2.1, chr-F: 0.111\ntestset: URL, BLEU: 7.6, chr-F: 0.267\ntestset: URL, BLEU: 0.7, chr-F: 0.198\ntestset: URL, BLEU: 16.0, chr-F: 0.121\ntestset: URL, BLEU: 3.8, chr-F: 0.150\ntestset: URL, BLEU: 14.6, chr-F: 0.375\ntestset: URL, BLEU: 2.4, chr-F: 0.096\ntestset: URL, BLEU: 51.8, chr-F: 0.802\ntestset: URL, BLEU: 64.9, chr-F: 0.784\ntestset: URL, BLEU: 47.0, chr-F: 0.657\ntestset: URL, BLEU: 55.8, chr-F: 0.700\ntestset: URL, BLEU: 0.0, chr-F: 0.060\ntestset: URL, BLEU: 14.1, chr-F: 0.449\ntestset: URL, BLEU: 7.5, chr-F: 0.291\ntestset: URL, BLEU: 70.7, chr-F: 0.812\ntestset: URL, BLEU: 15.9, chr-F: 0.553\ntestset: URL, BLEU: 78.7, chr-F: 0.854\ntestset: URL, BLEU: 67.1, chr-F: 0.799\ntestset: URL, BLEU: 14.7, chr-F: 0.156\ntestset: URL, BLEU: 7.7, chr-F: 0.341\ntestset: URL, BLEU: 8.0, chr-F: 0.334\ntestset: URL, BLEU: 12.4, chr-F: 0.305\ntestset: URL, BLEU: 1.1, chr-F: 0.209\ntestset: URL, BLEU: 4.9, chr-F: 0.244\ntestset: URL, BLEU: 3.4, chr-F: 0.194\ntestset: URL, BLEU: 23.6, chr-F: 0.552\ntestset: URL, BLEU: 0.1, chr-F: 0.066\ntestset: URL, BLEU: 17.5, chr-F: 0.392\ntestset: URL, BLEU: 21.0, chr-F: 0.423\ntestset: URL, BLEU: 17.4, chr-F: 0.368\ntestset: URL, BLEU: 0.6, chr-F: 0.143\ntestset: URL, BLEU: 5.3, chr-F: 0.169\ntestset: URL, BLEU: 1.2, chr-F: 0.149\ntestset: URL, BLEU: 3.5, chr-F: 0.256\ntestset: URL, BLEU: 14.4, chr-F: 0.487\ntestset: URL, BLEU: 26.1, chr-F: 0.423\ntestset: URL, BLEU: 47.1, chr-F: 0.583\ntestset: URL, BLEU: 1.5, chr-F: 0.092\ntestset: URL, BLEU: 35.9, chr-F: 0.518\ntestset: URL, BLEU: 1.0, chr-F: 0.124### System Info:\n\n\n* hf\\_name: gem-gem\n* source\\_languages: gem\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']\n* src\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\n* tgt\\_constituents: {'ksh', 'enm\\_Latn', 'got\\_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob\\_Hebr', 'ang\\_Latn', 'frr', 'non\\_Latn', 'yid', 'nds'}\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: gem\n* tgt\\_alpha3: gem\n* short\\_pair: gem-gem\n* chrF2\\_score: 0.614\n* bleu: 42.7\n* brevity\\_penalty: 0.993\n* ref\\_len: 73459.0\n* src\\_name: Germanic languages\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gem\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: gem-gem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]

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