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ftopal
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huggingface-models-processed

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train · 320k rows

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translation	transformers	### opus-mt-ee-fi * source languages: ee * target languages: fi * OPUS readme: [ee-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-fi/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/ee-fi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ee.fi \| 25.0 \| 0.482 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ee-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "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 #ee #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ee-fi * source languages: ee * target languages: fi * OPUS readme: ee-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.482	[ "### opus-mt-ee-fi\n\n\n* source languages: ee\n* target languages: fi\n* OPUS readme: ee-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.482" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-fi\n\n\n* source languages: ee\n* target languages: fi\n* OPUS readme: ee-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.482" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ee-fi\n\n\n* source languages: ee\n* target languages: fi\n* OPUS readme: ee-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.482" ]
translation	transformers	### opus-mt-ee-fr * source languages: ee * target languages: fr * OPUS readme: [ee-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ee.fr \| 27.1 \| 0.450 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ee-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "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 #ee #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ee-fr * source languages: ee * target languages: fr * OPUS readme: ee-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: 27.1, chr-F: 0.450	[ "### opus-mt-ee-fr\n\n\n* source languages: ee\n* target languages: fr\n* OPUS readme: ee-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: 27.1, chr-F: 0.450" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-fr\n\n\n* source languages: ee\n* target languages: fr\n* OPUS readme: ee-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: 27.1, chr-F: 0.450" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ee-fr\n\n\n* source languages: ee\n* target languages: fr\n* OPUS readme: ee-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: 27.1, chr-F: 0.450" ]
translation	transformers	### opus-mt-ee-sv * source languages: ee * target languages: sv * OPUS readme: [ee-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ee.sv \| 28.9 \| 0.472 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ee-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ee", "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 #ee #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ee-sv * source languages: ee * target languages: sv * OPUS readme: ee-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: 28.9, chr-F: 0.472	[ "### opus-mt-ee-sv\n\n\n* source languages: ee\n* target languages: sv\n* OPUS readme: ee-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: 28.9, chr-F: 0.472" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ee-sv\n\n\n* source languages: ee\n* target languages: sv\n* OPUS readme: ee-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: 28.9, chr-F: 0.472" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ee #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ee-sv\n\n\n* source languages: ee\n* target languages: sv\n* OPUS readme: ee-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: 28.9, chr-F: 0.472" ]
translation	transformers	### opus-mt-efi-de * source languages: efi * target languages: de * OPUS readme: [efi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.efi.de \| 21.0 \| 0.401 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-efi-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "efi", "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 #efi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-efi-de * source languages: efi * target languages: de * OPUS readme: efi-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: 21.0, chr-F: 0.401	[ "### opus-mt-efi-de\n\n\n* source languages: efi\n* target languages: de\n* OPUS readme: efi-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: 21.0, chr-F: 0.401" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-efi-de\n\n\n* source languages: efi\n* target languages: de\n* OPUS readme: efi-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: 21.0, chr-F: 0.401" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-efi-de\n\n\n* source languages: efi\n* target languages: de\n* OPUS readme: efi-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: 21.0, chr-F: 0.401" ]
translation	transformers	### opus-mt-efi-en * source languages: efi * target languages: en * OPUS readme: [efi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.efi.en \| 35.4 \| 0.510 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-efi-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "efi", "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 #efi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-efi-en * source languages: efi * target languages: en * OPUS readme: efi-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.4, chr-F: 0.510	[ "### opus-mt-efi-en\n\n\n* source languages: efi\n* target languages: en\n* OPUS readme: efi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.510" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-efi-en\n\n\n* source languages: efi\n* target languages: en\n* OPUS readme: efi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.510" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-efi-en\n\n\n* source languages: efi\n* target languages: en\n* OPUS readme: efi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.510" ]
translation	transformers	### opus-mt-efi-fi * source languages: efi * target languages: fi * OPUS readme: [efi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.efi.fi \| 23.6 \| 0.450 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-efi-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "efi", "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 #efi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-efi-fi * source languages: efi * target languages: fi * OPUS readme: efi-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.6, chr-F: 0.450	[ "### opus-mt-efi-fi\n\n\n* source languages: efi\n* target languages: fi\n* OPUS readme: efi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.450" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-efi-fi\n\n\n* source languages: efi\n* target languages: fi\n* OPUS readme: efi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.450" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-efi-fi\n\n\n* source languages: efi\n* target languages: fi\n* OPUS readme: efi-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.450" ]
translation	transformers	### opus-mt-efi-fr * source languages: efi * target languages: fr * OPUS readme: [efi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fr/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/efi-fr/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.efi.fr \| 25.1 \| 0.419 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-efi-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "efi", "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 #efi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-efi-fr * source languages: efi * target languages: fr * OPUS readme: efi-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.1, chr-F: 0.419	[ "### opus-mt-efi-fr\n\n\n* source languages: efi\n* target languages: fr\n* OPUS readme: efi-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.419" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-efi-fr\n\n\n* source languages: efi\n* target languages: fr\n* OPUS readme: efi-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.419" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-efi-fr\n\n\n* source languages: efi\n* target languages: fr\n* OPUS readme: efi-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.419" ]
translation	transformers	### opus-mt-efi-sv * source languages: efi * target languages: sv * OPUS readme: [efi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.efi.sv \| 26.8 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-efi-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "efi", "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 #efi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-efi-sv * source languages: efi * target languages: sv * OPUS readme: efi-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.8, chr-F: 0.447	[ "### opus-mt-efi-sv\n\n\n* source languages: efi\n* target languages: sv\n* OPUS readme: efi-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-efi-sv\n\n\n* source languages: efi\n* target languages: sv\n* OPUS readme: efi-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.447" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #efi #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-efi-sv\n\n\n* source languages: efi\n* target languages: sv\n* OPUS readme: efi-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.447" ]
translation	transformers	### ell-ara * source group: Modern Greek (1453-) * target group: Arabic * OPUS readme: [ell-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md) * model: transformer * source language(s): ell * target language(s): ara arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ell.ara \| 21.9 \| 0.485 \| ### System Info: - hf_name: ell-ara - source_languages: ell - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['el', 'ar'] - src_constituents: {'ell'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt - src_alpha3: ell - tgt_alpha3: ara - short_pair: el-ar - chrF2_score: 0.485 - bleu: 21.9 - brevity_penalty: 0.972 - ref_len: 1686.0 - src_name: Modern Greek (1453-) - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: el - tgt_alpha2: ar - prefer_old: False - long_pair: ell-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["el", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-el-ar	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "el", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #el #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ell-ara * source group: Modern Greek (1453-) * target group: Arabic * OPUS readme: ell-ara * model: transformer * source language(s): ell * target language(s): ara arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.9, chr-F: 0.485 ### System Info: * hf\_name: ell-ara * source\_languages: ell * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['el', 'ar'] * src\_constituents: {'ell'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ell * tgt\_alpha3: ara * short\_pair: el-ar * chrF2\_score: 0.485 * bleu: 21.9 * brevity\_penalty: 0.972 * ref\_len: 1686.0 * src\_name: Modern Greek (1453-) * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: el * tgt\_alpha2: ar * prefer\_old: False * long\_pair: ell-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ell-ara\n\n\n* source group: Modern Greek (1453-)\n* target group: Arabic\n* OPUS readme: ell-ara\n* model: transformer\n* source language(s): ell\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.485", "### System Info:\n\n\n* hf\\_name: ell-ara\n* source\\_languages: ell\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'ar']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: ara\n* short\\_pair: el-ar\n* chrF2\\_score: 0.485\n* bleu: 21.9\n* brevity\\_penalty: 0.972\n* ref\\_len: 1686.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: el\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ell-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ell-ara\n\n\n* source group: Modern Greek (1453-)\n* target group: Arabic\n* OPUS readme: ell-ara\n* model: transformer\n* source language(s): ell\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.485", "### System Info:\n\n\n* hf\\_name: ell-ara\n* source\\_languages: ell\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'ar']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: ara\n* short\\_pair: el-ar\n* chrF2\\_score: 0.485\n* bleu: 21.9\n* brevity\\_penalty: 0.972\n* ref\\_len: 1686.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: el\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ell-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 165, 450 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ell-ara\n\n\n* source group: Modern Greek (1453-)\n* target group: Arabic\n* OPUS readme: ell-ara\n* model: transformer\n* source language(s): ell\n* target language(s): ara arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.485### System Info:\n\n\n* hf\\_name: ell-ara\n* source\\_languages: ell\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'ar']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: ara\n* short\\_pair: el-ar\n* chrF2\\_score: 0.485\n* bleu: 21.9\n* brevity\\_penalty: 0.972\n* ref\\_len: 1686.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: el\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ell-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### ell-epo * source group: Modern Greek (1453-) * target group: Esperanto * OPUS readme: [ell-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md) * model: transformer-align * source language(s): ell * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ell.epo \| 32.4 \| 0.517 \| ### System Info: - hf_name: ell-epo - source_languages: ell - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['el', 'eo'] - src_constituents: {'ell'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt - src_alpha3: ell - tgt_alpha3: epo - short_pair: el-eo - chrF2_score: 0.517 - bleu: 32.4 - brevity_penalty: 0.9790000000000001 - ref_len: 3807.0 - src_name: Modern Greek (1453-) - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: el - tgt_alpha2: eo - prefer_old: False - long_pair: ell-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["el", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-el-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "el", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #el #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ell-epo * source group: Modern Greek (1453-) * target group: Esperanto * OPUS readme: ell-epo * model: transformer-align * source language(s): ell * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.4, chr-F: 0.517 ### System Info: * hf\_name: ell-epo * source\_languages: ell * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['el', 'eo'] * src\_constituents: {'ell'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ell * tgt\_alpha3: epo * short\_pair: el-eo * chrF2\_score: 0.517 * bleu: 32.4 * brevity\_penalty: 0.9790000000000001 * ref\_len: 3807.0 * src\_name: Modern Greek (1453-) * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: el * tgt\_alpha2: eo * prefer\_old: False * long\_pair: ell-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ell-epo\n\n\n* source group: Modern Greek (1453-)\n* target group: Esperanto\n* OPUS readme: ell-epo\n* model: transformer-align\n* source language(s): ell\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.4, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ell-epo\n* source\\_languages: ell\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'eo']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: epo\n* short\\_pair: el-eo\n* chrF2\\_score: 0.517\n* bleu: 32.4\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 3807.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: el\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ell-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ell-epo\n\n\n* source group: Modern Greek (1453-)\n* target group: Esperanto\n* OPUS readme: ell-epo\n* model: transformer-align\n* source language(s): ell\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.4, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ell-epo\n* source\\_languages: ell\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'eo']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: epo\n* short\\_pair: el-eo\n* chrF2\\_score: 0.517\n* bleu: 32.4\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 3807.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: el\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ell-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 145, 418 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ell-epo\n\n\n* source group: Modern Greek (1453-)\n* target group: Esperanto\n* OPUS readme: ell-epo\n* model: transformer-align\n* source language(s): ell\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.4, chr-F: 0.517### System Info:\n\n\n* hf\\_name: ell-epo\n* source\\_languages: ell\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'eo']\n* src\\_constituents: {'ell'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ell\n* tgt\\_alpha3: epo\n* short\\_pair: el-eo\n* chrF2\\_score: 0.517\n* bleu: 32.4\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 3807.0\n* src\\_name: Modern Greek (1453-)\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: el\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ell-epo\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-el-fi * source languages: el * target languages: fi * OPUS readme: [el-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.el.fi \| 25.3 \| 0.517 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-el-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "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 #el #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-el-fi * source languages: el * target languages: fi * OPUS readme: el-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.3, chr-F: 0.517	[ "### opus-mt-el-fi\n\n\n* source languages: el\n* target languages: fi\n* OPUS readme: el-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.517" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-el-fi\n\n\n* source languages: el\n* target languages: fi\n* OPUS readme: el-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.517" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-el-fi\n\n\n* source languages: el\n* target languages: fi\n* OPUS readme: el-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.517" ]
translation	transformers	### opus-mt-el-fr * source languages: el * target languages: fr * OPUS readme: [el-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.el.fr \| 63.0 \| 0.741 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-el-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "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 #el #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-el-fr * source languages: el * target languages: fr * OPUS readme: el-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: 63.0, chr-F: 0.741	[ "### opus-mt-el-fr\n\n\n* source languages: el\n* target languages: fr\n* OPUS readme: el-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: 63.0, chr-F: 0.741" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-el-fr\n\n\n* source languages: el\n* target languages: fr\n* OPUS readme: el-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: 63.0, chr-F: 0.741" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-el-fr\n\n\n* source languages: el\n* target languages: fr\n* OPUS readme: el-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: 63.0, chr-F: 0.741" ]
translation	transformers	### opus-mt-el-sv * source languages: el * target languages: sv * OPUS readme: [el-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.el.sv \| 23.6 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-el-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "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 #el #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-el-sv * source languages: el * target languages: sv * OPUS readme: el-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.6, chr-F: 0.498	[ "### opus-mt-el-sv\n\n\n* source languages: el\n* target languages: sv\n* OPUS readme: el-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-el-sv\n\n\n* source languages: el\n* target languages: sv\n* OPUS readme: el-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.498" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-el-sv\n\n\n* source languages: el\n* target languages: sv\n* OPUS readme: el-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.498" ]
translation	transformers	### opus-mt-en-INSULAR_CELTIC * source languages: en * target languages: ga,cy,br,gd,kw,gv * OPUS readme: [en-ga+cy+br+gd+kw+gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ga+cy+br+gd+kw+gv/README.md) * dataset: opus+techiaith+bt * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus+techiaith+bt-2020-04-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.zip) * test set translations: [opus+techiaith+bt-2020-04-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.test.txt) * test set scores: [opus+techiaith+bt-2020-04-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.ga \| 22.8 \| 0.404 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-CELTIC	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "cel", "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 #en #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-INSULAR\_CELTIC * source languages: en * target languages: ga,cy,br,gd,kw,gv * OPUS readme: en-ga+cy+br+gd+kw+gv * dataset: opus+techiaith+bt * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: opus+techiaith+URL * test set translations: opus+techiaith+URL * test set scores: opus+techiaith+URL Benchmarks ---------- testset: URL, BLEU: 22.8, chr-F: 0.404	[ "### opus-mt-en-INSULAR\\_CELTIC\n\n\n* source languages: en\n* target languages: ga,cy,br,gd,kw,gv\n* OPUS readme: en-ga+cy+br+gd+kw+gv\n* dataset: opus+techiaith+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+techiaith+URL\n* test set translations: opus+techiaith+URL\n* test set scores: opus+techiaith+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.404" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-INSULAR\\_CELTIC\n\n\n* source languages: en\n* target languages: ga,cy,br,gd,kw,gv\n* OPUS readme: en-ga+cy+br+gd+kw+gv\n* dataset: opus+techiaith+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+techiaith+URL\n* test set translations: opus+techiaith+URL\n* test set scores: opus+techiaith+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.404" ]	[ 52, 184 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-INSULAR\\_CELTIC\n\n\n* source languages: en\n* target languages: ga,cy,br,gd,kw,gv\n* OPUS readme: en-ga+cy+br+gd+kw+gv\n* dataset: opus+techiaith+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+techiaith+URL\n* test set translations: opus+techiaith+URL\n* test set scores: opus+techiaith+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.404" ]
translation	transformers	### opus-mt-en-ROMANCE * source languages: en * target languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la * OPUS readme: [en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/README.md) * dataset: opus * model: transformer * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-04-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.zip) * test set translations: [opus-2020-04-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.test.txt) * test set scores: [opus-2020-04-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.la \| 50.1 \| 0.693 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ROMANCE	null	[ "transformers", "pytorch", "tf", "jax", "rust", "marian", "text2text-generation", "translation", "en", "roa", "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 #rust #marian #text2text-generation #translation #en #roa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ROMANCE * source languages: en * target languages: fr,fr\_BE,fr\_CA,fr\_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es\_AR,es\_CL,es\_CO,es\_CR,es\_DO,es\_EC,es\_ES,es\_GT,es\_HN,es\_MX,es\_NI,es\_PA,es\_PE,es\_PR,es\_SV,es\_UY,es\_VE,pt,pt\_br,pt\_BR,pt\_PT,gl,lad,an,mwl,it,it\_IT,co,nap,scn,vec,sc,ro,la * OPUS readme: en-fr+fr\_BE+fr\_CA+fr\_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es\_AR+es\_CL+es\_CO+es\_CR+es\_DO+es\_EC+es\_ES+es\_GT+es\_HN+es\_MX+es\_NI+es\_PA+es\_PE+es\_PR+es\_SV+es\_UY+es\_VE+pt+pt\_br+pt\_BR+pt\_PT+gl+lad+an+mwl+it+it\_IT+co+nap+scn+vec+sc+ro+la * dataset: opus * model: transformer * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.1, chr-F: 0.693	[ "### opus-mt-en-ROMANCE\n\n\n* source languages: en\n* target languages: fr,fr\\_BE,fr\\_CA,fr\\_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es\\_AR,es\\_CL,es\\_CO,es\\_CR,es\\_DO,es\\_EC,es\\_ES,es\\_GT,es\\_HN,es\\_MX,es\\_NI,es\\_PA,es\\_PE,es\\_PR,es\\_SV,es\\_UY,es\\_VE,pt,pt\\_br,pt\\_BR,pt\\_PT,gl,lad,an,mwl,it,it\\_IT,co,nap,scn,vec,sc,ro,la\n* OPUS readme: en-fr+fr\\_BE+fr\\_CA+fr\\_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es\\_AR+es\\_CL+es\\_CO+es\\_CR+es\\_DO+es\\_EC+es\\_ES+es\\_GT+es\\_HN+es\\_MX+es\\_NI+es\\_PA+es\\_PE+es\\_PR+es\\_SV+es\\_UY+es\\_VE+pt+pt\\_br+pt\\_BR+pt\\_PT+gl+lad+an+mwl+it+it\\_IT+co+nap+scn+vec+sc+ro+la\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.1, chr-F: 0.693" ]	[ "TAGS\n#transformers #pytorch #tf #jax #rust #marian #text2text-generation #translation #en #roa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ROMANCE\n\n\n* source languages: en\n* target languages: fr,fr\\_BE,fr\\_CA,fr\\_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es\\_AR,es\\_CL,es\\_CO,es\\_CR,es\\_DO,es\\_EC,es\\_ES,es\\_GT,es\\_HN,es\\_MX,es\\_NI,es\\_PA,es\\_PE,es\\_PR,es\\_SV,es\\_UY,es\\_VE,pt,pt\\_br,pt\\_BR,pt\\_PT,gl,lad,an,mwl,it,it\\_IT,co,nap,scn,vec,sc,ro,la\n* OPUS readme: en-fr+fr\\_BE+fr\\_CA+fr\\_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es\\_AR+es\\_CL+es\\_CO+es\\_CR+es\\_DO+es\\_EC+es\\_ES+es\\_GT+es\\_HN+es\\_MX+es\\_NI+es\\_PA+es\\_PE+es\\_PR+es\\_SV+es\\_UY+es\\_VE+pt+pt\\_br+pt\\_BR+pt\\_PT+gl+lad+an+mwl+it+it\\_IT+co+nap+scn+vec+sc+ro+la\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.1, chr-F: 0.693" ]	[ 56, 485 ]	[ "TAGS\n#transformers #pytorch #tf #jax #rust #marian #text2text-generation #translation #en #roa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ROMANCE\n\n\n* source languages: en\n* target languages: fr,fr\\_BE,fr\\_CA,fr\\_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es\\_AR,es\\_CL,es\\_CO,es\\_CR,es\\_DO,es\\_EC,es\\_ES,es\\_GT,es\\_HN,es\\_MX,es\\_NI,es\\_PA,es\\_PE,es\\_PR,es\\_SV,es\\_UY,es\\_VE,pt,pt\\_br,pt\\_BR,pt\\_PT,gl,lad,an,mwl,it,it\\_IT,co,nap,scn,vec,sc,ro,la\n* OPUS readme: en-fr+fr\\_BE+fr\\_CA+fr\\_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es\\_AR+es\\_CL+es\\_CO+es\\_CR+es\\_DO+es\\_EC+es\\_ES+es\\_GT+es\\_HN+es\\_MX+es\\_NI+es\\_PA+es\\_PE+es\\_PR+es\\_SV+es\\_UY+es\\_VE+pt+pt\\_br+pt\\_BR+pt\\_PT+gl+lad+an+mwl+it+it\\_IT+co+nap+scn+vec+sc+ro+la\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.1, chr-F: 0.693" ]
translation	transformers	### eng-aav * source group: English * target group: Austro-Asiatic languages * OPUS readme: [eng-aav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md) * model: transformer * source language(s): eng * target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-hoc.eng.hoc \| 0.1 \| 0.033 \| \| Tatoeba-test.eng-kha.eng.kha \| 0.4 \| 0.043 \| \| Tatoeba-test.eng-khm.eng.khm \| 0.2 \| 0.242 \| \| Tatoeba-test.eng-mnw.eng.mnw \| 0.8 \| 0.003 \| \| Tatoeba-test.eng.multi \| 16.1 \| 0.311 \| \| Tatoeba-test.eng-vie.eng.vie \| 33.2 \| 0.508 \| ### System Info: - hf_name: eng-aav - source_languages: eng - target_languages: aav - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'vi', 'km', 'aav'] - src_constituents: {'eng'} - tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt - src_alpha3: eng - tgt_alpha3: aav - short_pair: en-aav - chrF2_score: 0.311 - bleu: 16.1 - brevity_penalty: 1.0 - ref_len: 38261.0 - src_name: English - tgt_name: Austro-Asiatic languages - train_date: 2020-07-26 - src_alpha2: en - tgt_alpha2: aav - prefer_old: False - long_pair: eng-aav - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "vi", "km", "aav"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-aav	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "vi", "km", "aav", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "vi", "km", "aav" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #vi #km #aav #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-aav * source group: English * target group: Austro-Asiatic languages * OPUS readme: eng-aav * model: transformer * source language(s): eng * target language(s): hoc hoc\_Latn kha khm khm\_Latn mnw vie vie\_Hani * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 0.1, chr-F: 0.033 testset: URL, BLEU: 0.4, chr-F: 0.043 testset: URL, BLEU: 0.2, chr-F: 0.242 testset: URL, BLEU: 0.8, chr-F: 0.003 testset: URL, BLEU: 16.1, chr-F: 0.311 testset: URL, BLEU: 33.2, chr-F: 0.508 ### System Info: * hf\_name: eng-aav * source\_languages: eng * target\_languages: aav * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'vi', 'km', 'aav'] * src\_constituents: {'eng'} * tgt\_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie\_Hani', 'khm\_Latn', 'hoc\_Latn', 'hoc'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: aav * short\_pair: en-aav * chrF2\_score: 0.311 * bleu: 16.1 * brevity\_penalty: 1.0 * ref\_len: 38261.0 * src\_name: English * tgt\_name: Austro-Asiatic languages * train\_date: 2020-07-26 * src\_alpha2: en * tgt\_alpha2: aav * prefer\_old: False * long\_pair: eng-aav * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-aav\n\n\n* source group: English\n* target group: Austro-Asiatic languages\n* OPUS readme: eng-aav\n* model: transformer\n* source language(s): eng\n* target language(s): hoc hoc\\_Latn kha khm khm\\_Latn mnw vie vie\\_Hani\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 0.1, chr-F: 0.033\ntestset: URL, BLEU: 0.4, chr-F: 0.043\ntestset: URL, BLEU: 0.2, chr-F: 0.242\ntestset: URL, BLEU: 0.8, chr-F: 0.003\ntestset: URL, BLEU: 16.1, chr-F: 0.311\ntestset: URL, BLEU: 33.2, chr-F: 0.508", "### System Info:\n\n\n* hf\\_name: eng-aav\n* source\\_languages: eng\n* target\\_languages: aav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'vi', 'km', 'aav']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie\\_Hani', 'khm\\_Latn', 'hoc\\_Latn', 'hoc'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: aav\n* short\\_pair: en-aav\n* chrF2\\_score: 0.311\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 38261.0\n* src\\_name: English\n* tgt\\_name: Austro-Asiatic languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: aav\n* prefer\\_old: False\n* long\\_pair: eng-aav\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 #en #vi #km #aav #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-aav\n\n\n* source group: English\n* target group: Austro-Asiatic languages\n* OPUS readme: eng-aav\n* model: transformer\n* source language(s): eng\n* target language(s): hoc hoc\\_Latn kha khm khm\\_Latn mnw vie vie\\_Hani\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 0.1, chr-F: 0.033\ntestset: URL, BLEU: 0.4, chr-F: 0.043\ntestset: URL, BLEU: 0.2, chr-F: 0.242\ntestset: URL, BLEU: 0.8, chr-F: 0.003\ntestset: URL, BLEU: 16.1, chr-F: 0.311\ntestset: URL, BLEU: 33.2, chr-F: 0.508", "### System Info:\n\n\n* hf\\_name: eng-aav\n* source\\_languages: eng\n* target\\_languages: aav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'vi', 'km', 'aav']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie\\_Hani', 'khm\\_Latn', 'hoc\\_Latn', 'hoc'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: aav\n* short\\_pair: en-aav\n* chrF2\\_score: 0.311\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 38261.0\n* src\\_name: English\n* tgt\\_name: Austro-Asiatic languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: aav\n* prefer\\_old: False\n* long\\_pair: eng-aav\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 56, 297, 454 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #vi #km #aav #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-aav\n\n\n* source group: English\n* target group: Austro-Asiatic languages\n* OPUS readme: eng-aav\n* model: transformer\n* source language(s): eng\n* target language(s): hoc hoc\\_Latn kha khm khm\\_Latn mnw vie vie\\_Hani\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 0.1, chr-F: 0.033\ntestset: URL, BLEU: 0.4, chr-F: 0.043\ntestset: URL, BLEU: 0.2, chr-F: 0.242\ntestset: URL, BLEU: 0.8, chr-F: 0.003\ntestset: URL, BLEU: 16.1, chr-F: 0.311\ntestset: URL, BLEU: 33.2, chr-F: 0.508### System Info:\n\n\n* hf\\_name: eng-aav\n* source\\_languages: eng\n* target\\_languages: aav\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'vi', 'km', 'aav']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie\\_Hani', 'khm\\_Latn', 'hoc\\_Latn', 'hoc'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: aav\n* short\\_pair: en-aav\n* chrF2\\_score: 0.311\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 38261.0\n* src\\_name: English\n* tgt\\_name: Austro-Asiatic languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: aav\n* prefer\\_old: False\n* long\\_pair: eng-aav\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-en-af * source languages: en * target languages: af * OPUS readme: [en-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.af \| 56.1 \| 0.741 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-af	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "af", "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 #en #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-af * source languages: en * target languages: af * OPUS readme: en-af * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 56.1, chr-F: 0.741	[ "### opus-mt-en-af\n\n\n* source languages: en\n* target languages: af\n* OPUS readme: en-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.1, chr-F: 0.741" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-af\n\n\n* source languages: en\n* target languages: af\n* OPUS readme: en-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.1, chr-F: 0.741" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-af\n\n\n* source languages: en\n* target languages: af\n* OPUS readme: en-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.1, chr-F: 0.741" ]
translation	transformers	### eng-afa * source group: English * target group: Afro-Asiatic languages * OPUS readme: [eng-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md) * model: transformer * source language(s): eng * target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-amh.eng.amh \| 11.6 \| 0.504 \| \| Tatoeba-test.eng-ara.eng.ara \| 12.0 \| 0.404 \| \| Tatoeba-test.eng-hau.eng.hau \| 10.2 \| 0.429 \| \| Tatoeba-test.eng-heb.eng.heb \| 32.3 \| 0.551 \| \| Tatoeba-test.eng-kab.eng.kab \| 1.6 \| 0.191 \| \| Tatoeba-test.eng-mlt.eng.mlt \| 17.7 \| 0.551 \| \| Tatoeba-test.eng.multi \| 14.4 \| 0.375 \| \| Tatoeba-test.eng-rif.eng.rif \| 1.7 \| 0.103 \| \| Tatoeba-test.eng-shy.eng.shy \| 0.8 \| 0.090 \| \| Tatoeba-test.eng-som.eng.som \| 16.0 \| 0.429 \| \| Tatoeba-test.eng-tir.eng.tir \| 2.7 \| 0.238 \| ### System Info: - hf_name: eng-afa - source_languages: eng - target_languages: afa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa'] - src_constituents: {'eng'} - tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: afa - short_pair: en-afa - chrF2_score: 0.375 - bleu: 14.4 - brevity_penalty: 1.0 - ref_len: 58110.0 - src_name: English - tgt_name: Afro-Asiatic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: afa - prefer_old: False - long_pair: eng-afa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "so", "ti", "am", "he", "mt", "ar", "afa"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-afa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "so", "ti", "am", "he", "mt", "ar", "afa", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "so", "ti", "am", "he", "mt", "ar", "afa" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #so #ti #am #he #mt #ar #afa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-afa * source group: English * target group: Afro-Asiatic languages * OPUS readme: eng-afa * model: transformer * source language(s): eng * target language(s): acm afb amh apc ara arq ary arz hau\_Latn heb kab mlt rif\_Latn shy\_Latn som tir * 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: 11.6, chr-F: 0.504 testset: URL, BLEU: 12.0, chr-F: 0.404 testset: URL, BLEU: 10.2, chr-F: 0.429 testset: URL, BLEU: 32.3, chr-F: 0.551 testset: URL, BLEU: 1.6, chr-F: 0.191 testset: URL, BLEU: 17.7, chr-F: 0.551 testset: URL, BLEU: 14.4, chr-F: 0.375 testset: URL, BLEU: 1.7, chr-F: 0.103 testset: URL, BLEU: 0.8, chr-F: 0.090 testset: URL, BLEU: 16.0, chr-F: 0.429 testset: URL, BLEU: 2.7, chr-F: 0.238 ### System Info: * hf\_name: eng-afa * source\_languages: eng * target\_languages: afa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa'] * src\_constituents: {'eng'} * tgt\_constituents: {'som', 'rif\_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy\_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau\_Latn', 'acm', 'ary'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: afa * short\_pair: en-afa * chrF2\_score: 0.375 * bleu: 14.4 * brevity\_penalty: 1.0 * ref\_len: 58110.0 * src\_name: English * tgt\_name: Afro-Asiatic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: afa * prefer\_old: False * long\_pair: eng-afa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-afa\n\n\n* source group: English\n* target group: Afro-Asiatic languages\n* OPUS readme: eng-afa\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb amh apc ara arq ary arz hau\\_Latn heb kab mlt rif\\_Latn shy\\_Latn som tir\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: 11.6, chr-F: 0.504\ntestset: URL, BLEU: 12.0, chr-F: 0.404\ntestset: URL, BLEU: 10.2, chr-F: 0.429\ntestset: URL, BLEU: 32.3, chr-F: 0.551\ntestset: URL, BLEU: 1.6, chr-F: 0.191\ntestset: URL, BLEU: 17.7, chr-F: 0.551\ntestset: URL, BLEU: 14.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.103\ntestset: URL, BLEU: 0.8, chr-F: 0.090\ntestset: URL, BLEU: 16.0, chr-F: 0.429\ntestset: URL, BLEU: 2.7, chr-F: 0.238", "### System Info:\n\n\n* hf\\_name: eng-afa\n* source\\_languages: eng\n* target\\_languages: afa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som', 'rif\\_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy\\_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau\\_Latn', 'acm', 'ary'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: afa\n* short\\_pair: en-afa\n* chrF2\\_score: 0.375\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 58110.0\n* src\\_name: English\n* tgt\\_name: Afro-Asiatic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: afa\n* prefer\\_old: False\n* long\\_pair: eng-afa\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 #en #so #ti #am #he #mt #ar #afa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-afa\n\n\n* source group: English\n* target group: Afro-Asiatic languages\n* OPUS readme: eng-afa\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb amh apc ara arq ary arz hau\\_Latn heb kab mlt rif\\_Latn shy\\_Latn som tir\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: 11.6, chr-F: 0.504\ntestset: URL, BLEU: 12.0, chr-F: 0.404\ntestset: URL, BLEU: 10.2, chr-F: 0.429\ntestset: URL, BLEU: 32.3, chr-F: 0.551\ntestset: URL, BLEU: 1.6, chr-F: 0.191\ntestset: URL, BLEU: 17.7, chr-F: 0.551\ntestset: URL, BLEU: 14.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.103\ntestset: URL, BLEU: 0.8, chr-F: 0.090\ntestset: URL, BLEU: 16.0, chr-F: 0.429\ntestset: URL, BLEU: 2.7, chr-F: 0.238", "### System Info:\n\n\n* hf\\_name: eng-afa\n* source\\_languages: eng\n* target\\_languages: afa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som', 'rif\\_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy\\_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau\\_Latn', 'acm', 'ary'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: afa\n* short\\_pair: en-afa\n* chrF2\\_score: 0.375\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 58110.0\n* src\\_name: English\n* tgt\\_name: Afro-Asiatic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: afa\n* prefer\\_old: False\n* long\\_pair: eng-afa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 64, 427, 517 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #so #ti #am #he #mt #ar #afa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-afa\n\n\n* source group: English\n* target group: Afro-Asiatic languages\n* OPUS readme: eng-afa\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb amh apc ara arq ary arz hau\\_Latn heb kab mlt rif\\_Latn shy\\_Latn som tir\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: 11.6, chr-F: 0.504\ntestset: URL, BLEU: 12.0, chr-F: 0.404\ntestset: URL, BLEU: 10.2, chr-F: 0.429\ntestset: URL, BLEU: 32.3, chr-F: 0.551\ntestset: URL, BLEU: 1.6, chr-F: 0.191\ntestset: URL, BLEU: 17.7, chr-F: 0.551\ntestset: URL, BLEU: 14.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.103\ntestset: URL, BLEU: 0.8, chr-F: 0.090\ntestset: URL, BLEU: 16.0, chr-F: 0.429\ntestset: URL, BLEU: 2.7, chr-F: 0.238### System Info:\n\n\n* hf\\_name: eng-afa\n* source\\_languages: eng\n* target\\_languages: afa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som', 'rif\\_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy\\_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau\\_Latn', 'acm', 'ary'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: afa\n* short\\_pair: en-afa\n* chrF2\\_score: 0.375\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 58110.0\n* src\\_name: English\n* tgt\\_name: Afro-Asiatic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: afa\n* prefer\\_old: False\n* long\\_pair: eng-afa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-alv * source group: English * target group: Atlantic-Congo languages * OPUS readme: [eng-alv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md) * model: transformer * source language(s): eng * target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-ewe.eng.ewe \| 4.9 \| 0.212 \| \| Tatoeba-test.eng-ful.eng.ful \| 0.6 \| 0.079 \| \| Tatoeba-test.eng-ibo.eng.ibo \| 3.5 \| 0.255 \| \| Tatoeba-test.eng-kin.eng.kin \| 10.5 \| 0.510 \| \| Tatoeba-test.eng-lin.eng.lin \| 1.1 \| 0.273 \| \| Tatoeba-test.eng-lug.eng.lug \| 5.3 \| 0.340 \| \| Tatoeba-test.eng.multi \| 11.4 \| 0.429 \| \| Tatoeba-test.eng-nya.eng.nya \| 18.1 \| 0.595 \| \| Tatoeba-test.eng-run.eng.run \| 13.9 \| 0.484 \| \| Tatoeba-test.eng-sag.eng.sag \| 5.3 \| 0.194 \| \| Tatoeba-test.eng-sna.eng.sna \| 26.2 \| 0.623 \| \| Tatoeba-test.eng-swa.eng.swa \| 1.0 \| 0.141 \| \| Tatoeba-test.eng-toi.eng.toi \| 7.0 \| 0.224 \| \| Tatoeba-test.eng-tso.eng.tso \| 46.7 \| 0.643 \| \| Tatoeba-test.eng-umb.eng.umb \| 7.8 \| 0.359 \| \| Tatoeba-test.eng-wol.eng.wol \| 6.8 \| 0.191 \| \| Tatoeba-test.eng-xho.eng.xho \| 27.1 \| 0.629 \| \| Tatoeba-test.eng-yor.eng.yor \| 17.4 \| 0.356 \| \| Tatoeba-test.eng-zul.eng.zul \| 34.1 \| 0.729 \| ### System Info: - hf_name: eng-alv - source_languages: eng - target_languages: alv - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv'] - src_constituents: {'eng'} - tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: alv - short_pair: en-alv - chrF2_score: 0.429 - bleu: 11.4 - brevity_penalty: 1.0 - ref_len: 10603.0 - src_name: English - tgt_name: Atlantic-Congo languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: alv - prefer_old: False - long_pair: eng-alv - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-alv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-alv * source group: English * target group: Atlantic-Congo languages * OPUS readme: eng-alv * model: transformer * source language(s): eng * target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul * 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: 4.9, chr-F: 0.212 testset: URL, BLEU: 0.6, chr-F: 0.079 testset: URL, BLEU: 3.5, chr-F: 0.255 testset: URL, BLEU: 10.5, chr-F: 0.510 testset: URL, BLEU: 1.1, chr-F: 0.273 testset: URL, BLEU: 5.3, chr-F: 0.340 testset: URL, BLEU: 11.4, chr-F: 0.429 testset: URL, BLEU: 18.1, chr-F: 0.595 testset: URL, BLEU: 13.9, chr-F: 0.484 testset: URL, BLEU: 5.3, chr-F: 0.194 testset: URL, BLEU: 26.2, chr-F: 0.623 testset: URL, BLEU: 1.0, chr-F: 0.141 testset: URL, BLEU: 7.0, chr-F: 0.224 testset: URL, BLEU: 46.7, chr-F: 0.643 testset: URL, BLEU: 7.8, chr-F: 0.359 testset: URL, BLEU: 6.8, chr-F: 0.191 testset: URL, BLEU: 27.1, chr-F: 0.629 testset: URL, BLEU: 17.4, chr-F: 0.356 testset: URL, BLEU: 34.1, chr-F: 0.729 ### System Info: * hf\_name: eng-alv * source\_languages: eng * target\_languages: alv * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv'] * src\_constituents: {'eng'} * tgt\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\_Latn', 'umb'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: alv * short\_pair: en-alv * chrF2\_score: 0.429 * bleu: 11.4 * brevity\_penalty: 1.0 * ref\_len: 10603.0 * src\_name: English * tgt\_name: Atlantic-Congo languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: alv * prefer\_old: False * long\_pair: eng-alv * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-alv\n\n\n* source group: English\n* target group: Atlantic-Congo languages\n* OPUS readme: eng-alv\n* model: transformer\n* source language(s): eng\n* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 4.9, chr-F: 0.212\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 3.5, chr-F: 0.255\ntestset: URL, BLEU: 10.5, chr-F: 0.510\ntestset: URL, BLEU: 1.1, chr-F: 0.273\ntestset: URL, BLEU: 5.3, chr-F: 0.340\ntestset: URL, BLEU: 11.4, chr-F: 0.429\ntestset: URL, BLEU: 18.1, chr-F: 0.595\ntestset: URL, BLEU: 13.9, chr-F: 0.484\ntestset: URL, BLEU: 5.3, chr-F: 0.194\ntestset: URL, BLEU: 26.2, chr-F: 0.623\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 7.0, chr-F: 0.224\ntestset: URL, BLEU: 46.7, chr-F: 0.643\ntestset: URL, BLEU: 7.8, chr-F: 0.359\ntestset: URL, BLEU: 6.8, chr-F: 0.191\ntestset: URL, BLEU: 27.1, chr-F: 0.629\ntestset: URL, BLEU: 17.4, chr-F: 0.356\ntestset: URL, BLEU: 34.1, chr-F: 0.729", "### System Info:\n\n\n* hf\\_name: eng-alv\n* source\\_languages: eng\n* target\\_languages: alv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: alv\n* short\\_pair: en-alv\n* chrF2\\_score: 0.429\n* bleu: 11.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 10603.0\n* src\\_name: English\n* tgt\\_name: Atlantic-Congo languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: alv\n* prefer\\_old: False\n* long\\_pair: eng-alv\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 #en #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-alv\n\n\n* source group: English\n* target group: Atlantic-Congo languages\n* OPUS readme: eng-alv\n* model: transformer\n* source language(s): eng\n* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 4.9, chr-F: 0.212\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 3.5, chr-F: 0.255\ntestset: URL, BLEU: 10.5, chr-F: 0.510\ntestset: URL, BLEU: 1.1, chr-F: 0.273\ntestset: URL, BLEU: 5.3, chr-F: 0.340\ntestset: URL, BLEU: 11.4, chr-F: 0.429\ntestset: URL, BLEU: 18.1, chr-F: 0.595\ntestset: URL, BLEU: 13.9, chr-F: 0.484\ntestset: URL, BLEU: 5.3, chr-F: 0.194\ntestset: URL, BLEU: 26.2, chr-F: 0.623\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 7.0, chr-F: 0.224\ntestset: URL, BLEU: 46.7, chr-F: 0.643\ntestset: URL, BLEU: 7.8, chr-F: 0.359\ntestset: URL, BLEU: 6.8, chr-F: 0.191\ntestset: URL, BLEU: 27.1, chr-F: 0.629\ntestset: URL, BLEU: 17.4, chr-F: 0.356\ntestset: URL, BLEU: 34.1, chr-F: 0.729", "### System Info:\n\n\n* hf\\_name: eng-alv\n* source\\_languages: eng\n* target\\_languages: alv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: alv\n* short\\_pair: en-alv\n* chrF2\\_score: 0.429\n* bleu: 11.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 10603.0\n* src\\_name: English\n* tgt\\_name: Atlantic-Congo languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: alv\n* prefer\\_old: False\n* long\\_pair: eng-alv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 86, 602, 556 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-alv\n\n\n* source group: English\n* target group: Atlantic-Congo languages\n* OPUS readme: eng-alv\n* model: transformer\n* source language(s): eng\n* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\\_Latn tso umb wol xho yor zul\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: 4.9, chr-F: 0.212\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 3.5, chr-F: 0.255\ntestset: URL, BLEU: 10.5, chr-F: 0.510\ntestset: URL, BLEU: 1.1, chr-F: 0.273\ntestset: URL, BLEU: 5.3, chr-F: 0.340\ntestset: URL, BLEU: 11.4, chr-F: 0.429\ntestset: URL, BLEU: 18.1, chr-F: 0.595\ntestset: URL, BLEU: 13.9, chr-F: 0.484\ntestset: URL, BLEU: 5.3, chr-F: 0.194\ntestset: URL, BLEU: 26.2, chr-F: 0.623\ntestset: URL, BLEU: 1.0, chr-F: 0.141\ntestset: URL, BLEU: 7.0, chr-F: 0.224\ntestset: URL, BLEU: 46.7, chr-F: 0.643\ntestset: URL, BLEU: 7.8, chr-F: 0.359\ntestset: URL, BLEU: 6.8, chr-F: 0.191\ntestset: URL, BLEU: 27.1, chr-F: 0.629\ntestset: URL, BLEU: 17.4, chr-F: 0.356\ntestset: URL, BLEU: 34.1, chr-F: 0.729### System Info:\n\n\n* hf\\_name: eng-alv\n* source\\_languages: eng\n* target\\_languages: alv\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: alv\n* short\\_pair: en-alv\n* chrF2\\_score: 0.429\n* bleu: 11.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 10603.0\n* src\\_name: English\n* tgt\\_name: Atlantic-Congo languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: alv\n* prefer\\_old: False\n* long\\_pair: eng-alv\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-ara * source group: English * target group: Arabic * OPUS readme: [eng-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md) * model: transformer * source language(s): eng * target language(s): acm afb apc apc_Latn ara ara_Latn arq arq_Latn ary arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.ara \| 14.0 \| 0.437 \| ### System Info: - hf_name: eng-ara - source_languages: eng - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ar'] - src_constituents: {'eng'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt - src_alpha3: eng - tgt_alpha3: ara - short_pair: en-ar - chrF2_score: 0.43700000000000006 - bleu: 14.0 - brevity_penalty: 1.0 - ref_len: 58935.0 - src_name: English - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: en - tgt_alpha2: ar - prefer_old: False - long_pair: eng-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ar	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "en", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "ar" ]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-ara * source group: English * target group: Arabic * OPUS readme: eng-ara * model: transformer * source language(s): eng * target language(s): acm afb apc apc\_Latn ara ara\_Latn arq arq\_Latn ary arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 14.0, chr-F: 0.437 ### System Info: * hf\_name: eng-ara * source\_languages: eng * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'ar'] * src\_constituents: {'eng'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: ara * short\_pair: en-ar * chrF2\_score: 0.43700000000000006 * bleu: 14.0 * brevity\_penalty: 1.0 * ref\_len: 58935.0 * src\_name: English * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: en * tgt\_alpha2: ar * prefer\_old: False * long\_pair: eng-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-ara\n\n\n* source group: English\n* target group: Arabic\n* OPUS readme: eng-ara\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb apc apc\\_Latn ara ara\\_Latn arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.0, chr-F: 0.437", "### System Info:\n\n\n* hf\\_name: eng-ara\n* source\\_languages: eng\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ar']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ara\n* short\\_pair: en-ar\n* chrF2\\_score: 0.43700000000000006\n* bleu: 14.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 58935.0\n* src\\_name: English\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: eng-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-ara\n\n\n* source group: English\n* target group: Arabic\n* OPUS readme: eng-ara\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb apc apc\\_Latn ara ara\\_Latn arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.0, chr-F: 0.437", "### System Info:\n\n\n* hf\\_name: eng-ara\n* source\\_languages: eng\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ar']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ara\n* short\\_pair: en-ar\n* chrF2\\_score: 0.43700000000000006\n* bleu: 14.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 58935.0\n* src\\_name: English\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: eng-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 53, 185, 446 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-ara\n\n\n* source group: English\n* target group: Arabic\n* OPUS readme: eng-ara\n* model: transformer\n* source language(s): eng\n* target language(s): acm afb apc apc\\_Latn ara ara\\_Latn arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.0, chr-F: 0.437### System Info:\n\n\n* hf\\_name: eng-ara\n* source\\_languages: eng\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ar']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ara\n* short\\_pair: en-ar\n* chrF2\\_score: 0.43700000000000006\n* bleu: 14.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 58935.0\n* src\\_name: English\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: eng-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-aze * source group: English * target group: Azerbaijani * OPUS readme: [eng-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md) * model: transformer-align * source language(s): eng * target language(s): aze_Latn * 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/eng-aze/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.aze \| 18.6 \| 0.477 \| ### System Info: - hf_name: eng-aze - source_languages: eng - target_languages: aze - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'az'] - src_constituents: {'eng'} - tgt_constituents: {'aze_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt - src_alpha3: eng - tgt_alpha3: aze - short_pair: en-az - chrF2_score: 0.47700000000000004 - bleu: 18.6 - brevity_penalty: 1.0 - ref_len: 13012.0 - src_name: English - tgt_name: Azerbaijani - train_date: 2020-06-16 - src_alpha2: en - tgt_alpha2: az - prefer_old: False - long_pair: eng-aze - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "az"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-az	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "az", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "az" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-aze * source group: English * target group: Azerbaijani * OPUS readme: eng-aze * model: transformer-align * source language(s): eng * target language(s): aze\_Latn * 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: 18.6, chr-F: 0.477 ### System Info: * hf\_name: eng-aze * source\_languages: eng * target\_languages: aze * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'az'] * src\_constituents: {'eng'} * tgt\_constituents: {'aze\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: aze * short\_pair: en-az * chrF2\_score: 0.47700000000000004 * bleu: 18.6 * brevity\_penalty: 1.0 * ref\_len: 13012.0 * src\_name: English * tgt\_name: Azerbaijani * train\_date: 2020-06-16 * src\_alpha2: en * tgt\_alpha2: az * prefer\_old: False * long\_pair: eng-aze * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-aze\n\n\n* source group: English\n* target group: Azerbaijani\n* OPUS readme: eng-aze\n* model: transformer-align\n* source language(s): eng\n* target language(s): aze\\_Latn\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: 18.6, chr-F: 0.477", "### System Info:\n\n\n* hf\\_name: eng-aze\n* source\\_languages: eng\n* target\\_languages: aze\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'az']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'aze\\_Latn'}\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: eng\n* tgt\\_alpha3: aze\n* short\\_pair: en-az\n* chrF2\\_score: 0.47700000000000004\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 13012.0\n* src\\_name: English\n* tgt\\_name: Azerbaijani\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: az\n* prefer\\_old: False\n* long\\_pair: eng-aze\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 #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-aze\n\n\n* source group: English\n* target group: Azerbaijani\n* OPUS readme: eng-aze\n* model: transformer-align\n* source language(s): eng\n* target language(s): aze\\_Latn\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: 18.6, chr-F: 0.477", "### System Info:\n\n\n* hf\\_name: eng-aze\n* source\\_languages: eng\n* target\\_languages: aze\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'az']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'aze\\_Latn'}\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: eng\n* tgt\\_alpha3: aze\n* short\\_pair: en-az\n* chrF2\\_score: 0.47700000000000004\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 13012.0\n* src\\_name: English\n* tgt\\_name: Azerbaijani\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: az\n* prefer\\_old: False\n* long\\_pair: eng-aze\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 139, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-aze\n\n\n* source group: English\n* target group: Azerbaijani\n* OPUS readme: eng-aze\n* model: transformer-align\n* source language(s): eng\n* target language(s): aze\\_Latn\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: 18.6, chr-F: 0.477### System Info:\n\n\n* hf\\_name: eng-aze\n* source\\_languages: eng\n* target\\_languages: aze\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'az']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'aze\\_Latn'}\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: eng\n* tgt\\_alpha3: aze\n* short\\_pair: en-az\n* chrF2\\_score: 0.47700000000000004\n* bleu: 18.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 13012.0\n* src\\_name: English\n* tgt\\_name: Azerbaijani\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: az\n* prefer\\_old: False\n* long\\_pair: eng-aze\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-bat * source group: English * target group: Baltic languages * OPUS readme: [eng-bat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md) * model: transformer * source language(s): eng * target language(s): lav lit ltg prg_Latn sgs * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2017-enlv-englav.eng.lav \| 24.0 \| 0.546 \| \| newsdev2019-enlt-englit.eng.lit \| 20.9 \| 0.533 \| \| newstest2017-enlv-englav.eng.lav \| 18.3 \| 0.506 \| \| newstest2019-enlt-englit.eng.lit \| 13.6 \| 0.466 \| \| Tatoeba-test.eng-lav.eng.lav \| 42.8 \| 0.652 \| \| Tatoeba-test.eng-lit.eng.lit \| 37.1 \| 0.650 \| \| Tatoeba-test.eng.multi \| 37.0 \| 0.616 \| \| Tatoeba-test.eng-prg.eng.prg \| 0.5 \| 0.130 \| \| Tatoeba-test.eng-sgs.eng.sgs \| 4.1 \| 0.178 \| ### System Info: - hf_name: eng-bat - source_languages: eng - target_languages: bat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'lt', 'lv', 'bat'] - src_constituents: {'eng'} - tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: bat - short_pair: en-bat - chrF2_score: 0.616 - bleu: 37.0 - brevity_penalty: 0.956 - ref_len: 26417.0 - src_name: English - tgt_name: Baltic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: bat - prefer_old: False - long_pair: eng-bat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "lt", "lv", "bat"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bat	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "lt", "lv", "bat", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "lt", "lv", "bat" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #lt #lv #bat #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-bat * source group: English * target group: Baltic languages * OPUS readme: eng-bat * model: transformer * source language(s): eng * target language(s): lav lit ltg prg\_Latn sgs * 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: 24.0, chr-F: 0.546 testset: URL, BLEU: 20.9, chr-F: 0.533 testset: URL, BLEU: 18.3, chr-F: 0.506 testset: URL, BLEU: 13.6, chr-F: 0.466 testset: URL, BLEU: 42.8, chr-F: 0.652 testset: URL, BLEU: 37.1, chr-F: 0.650 testset: URL, BLEU: 37.0, chr-F: 0.616 testset: URL, BLEU: 0.5, chr-F: 0.130 testset: URL, BLEU: 4.1, chr-F: 0.178 ### System Info: * hf\_name: eng-bat * source\_languages: eng * target\_languages: bat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'lt', 'lv', 'bat'] * src\_constituents: {'eng'} * tgt\_constituents: {'lit', 'lav', 'prg\_Latn', 'ltg', 'sgs'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: bat * short\_pair: en-bat * chrF2\_score: 0.616 * bleu: 37.0 * brevity\_penalty: 0.956 * ref\_len: 26417.0 * src\_name: English * tgt\_name: Baltic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: bat * prefer\_old: False * long\_pair: eng-bat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-bat\n\n\n* source group: English\n* target group: Baltic languages\n* OPUS readme: eng-bat\n* model: transformer\n* source language(s): eng\n* target language(s): lav lit ltg prg\\_Latn sgs\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: 24.0, chr-F: 0.546\ntestset: URL, BLEU: 20.9, chr-F: 0.533\ntestset: URL, BLEU: 18.3, chr-F: 0.506\ntestset: URL, BLEU: 13.6, chr-F: 0.466\ntestset: URL, BLEU: 42.8, chr-F: 0.652\ntestset: URL, BLEU: 37.1, chr-F: 0.650\ntestset: URL, BLEU: 37.0, chr-F: 0.616\ntestset: URL, BLEU: 0.5, chr-F: 0.130\ntestset: URL, BLEU: 4.1, chr-F: 0.178", "### System Info:\n\n\n* hf\\_name: eng-bat\n* source\\_languages: eng\n* target\\_languages: bat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'lt', 'lv', 'bat']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'lit', 'lav', 'prg\\_Latn', 'ltg', 'sgs'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bat\n* short\\_pair: en-bat\n* chrF2\\_score: 0.616\n* bleu: 37.0\n* brevity\\_penalty: 0.956\n* ref\\_len: 26417.0\n* src\\_name: English\n* tgt\\_name: Baltic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: bat\n* prefer\\_old: False\n* long\\_pair: eng-bat\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 #en #lt #lv #bat #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-bat\n\n\n* source group: English\n* target group: Baltic languages\n* OPUS readme: eng-bat\n* model: transformer\n* source language(s): eng\n* target language(s): lav lit ltg prg\\_Latn sgs\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: 24.0, chr-F: 0.546\ntestset: URL, BLEU: 20.9, chr-F: 0.533\ntestset: URL, BLEU: 18.3, chr-F: 0.506\ntestset: URL, BLEU: 13.6, chr-F: 0.466\ntestset: URL, BLEU: 42.8, chr-F: 0.652\ntestset: URL, BLEU: 37.1, chr-F: 0.650\ntestset: URL, BLEU: 37.0, chr-F: 0.616\ntestset: URL, BLEU: 0.5, chr-F: 0.130\ntestset: URL, BLEU: 4.1, chr-F: 0.178", "### System Info:\n\n\n* hf\\_name: eng-bat\n* source\\_languages: eng\n* target\\_languages: bat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'lt', 'lv', 'bat']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'lit', 'lav', 'prg\\_Latn', 'ltg', 'sgs'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bat\n* short\\_pair: en-bat\n* chrF2\\_score: 0.616\n* bleu: 37.0\n* brevity\\_penalty: 0.956\n* ref\\_len: 26417.0\n* src\\_name: English\n* tgt\\_name: Baltic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: bat\n* prefer\\_old: False\n* long\\_pair: eng-bat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 56, 349, 426 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lt #lv #bat #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-bat\n\n\n* source group: English\n* target group: Baltic languages\n* OPUS readme: eng-bat\n* model: transformer\n* source language(s): eng\n* target language(s): lav lit ltg prg\\_Latn sgs\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: 24.0, chr-F: 0.546\ntestset: URL, BLEU: 20.9, chr-F: 0.533\ntestset: URL, BLEU: 18.3, chr-F: 0.506\ntestset: URL, BLEU: 13.6, chr-F: 0.466\ntestset: URL, BLEU: 42.8, chr-F: 0.652\ntestset: URL, BLEU: 37.1, chr-F: 0.650\ntestset: URL, BLEU: 37.0, chr-F: 0.616\ntestset: URL, BLEU: 0.5, chr-F: 0.130\ntestset: URL, BLEU: 4.1, chr-F: 0.178### System Info:\n\n\n* hf\\_name: eng-bat\n* source\\_languages: eng\n* target\\_languages: bat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'lt', 'lv', 'bat']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'lit', 'lav', 'prg\\_Latn', 'ltg', 'sgs'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bat\n* short\\_pair: en-bat\n* chrF2\\_score: 0.616\n* bleu: 37.0\n* brevity\\_penalty: 0.956\n* ref\\_len: 26417.0\n* src\\_name: English\n* tgt\\_name: Baltic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: bat\n* prefer\\_old: False\n* long\\_pair: eng-bat\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-en-bcl * source languages: en * target languages: bcl * OPUS readme: [en-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bcl/README.md) * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.zip) * test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.test.txt) * test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.bcl \| 54.3 \| 0.722 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bcl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-bcl * source languages: en * target languages: bcl * OPUS readme: en-bcl * dataset: opus+bt * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: opus+URL * test set translations: opus+URL * test set scores: opus+URL Benchmarks ---------- testset: URL, BLEU: 54.3, chr-F: 0.722	[ "### opus-mt-en-bcl\n\n\n* source languages: en\n* target languages: bcl\n* OPUS readme: en-bcl\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.3, chr-F: 0.722" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-bcl\n\n\n* source languages: en\n* target languages: bcl\n* OPUS readme: en-bcl\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.3, chr-F: 0.722" ]	[ 52, 117 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-bcl\n\n\n* source languages: en\n* target languages: bcl\n* OPUS readme: en-bcl\n* dataset: opus+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 54.3, chr-F: 0.722" ]
translation	transformers	### opus-mt-en-bem * source languages: en * target languages: bem * OPUS readme: [en-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bem/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.bem \| 29.7 \| 0.532 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-bem * source languages: en * target languages: bem * OPUS readme: en-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: 29.7, chr-F: 0.532	[ "### opus-mt-en-bem\n\n\n* source languages: en\n* target languages: bem\n* OPUS readme: en-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: 29.7, chr-F: 0.532" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-bem\n\n\n* source languages: en\n* target languages: bem\n* OPUS readme: en-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: 29.7, chr-F: 0.532" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-bem\n\n\n* source languages: en\n* target languages: bem\n* OPUS readme: en-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: 29.7, chr-F: 0.532" ]
translation	transformers	### opus-mt-en-ber * source languages: en * target languages: ber * OPUS readme: [en-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ber/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.ber \| 29.7 \| 0.544 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ber	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ber * source languages: en * target languages: ber * OPUS readme: en-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: 29.7, chr-F: 0.544	[ "### opus-mt-en-ber\n\n\n* source languages: en\n* target languages: ber\n* OPUS readme: en-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: 29.7, chr-F: 0.544" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ber\n\n\n* source languages: en\n* target languages: ber\n* OPUS readme: en-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: 29.7, chr-F: 0.544" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ber\n\n\n* source languages: en\n* target languages: ber\n* OPUS readme: en-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: 29.7, chr-F: 0.544" ]
translation	transformers	### eng-bul * source group: English * target group: Bulgarian * OPUS readme: [eng-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md) * model: transformer * source language(s): eng * target language(s): bul bul_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.bul \| 50.6 \| 0.680 \| ### System Info: - hf_name: eng-bul - source_languages: eng - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'bg'] - src_constituents: {'eng'} - 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/eng-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt - src_alpha3: eng - tgt_alpha3: bul - short_pair: en-bg - chrF2_score: 0.68 - bleu: 50.6 - brevity_penalty: 0.96 - ref_len: 69504.0 - src_name: English - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: en - tgt_alpha2: bg - prefer_old: False - long_pair: eng-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "bg"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-bul * source group: English * target group: Bulgarian * OPUS readme: eng-bul * model: transformer * source language(s): eng * target language(s): bul bul\_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.6, chr-F: 0.680 ### System Info: * hf\_name: eng-bul * source\_languages: eng * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'bg'] * src\_constituents: {'eng'} * 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: eng * tgt\_alpha3: bul * short\_pair: en-bg * chrF2\_score: 0.68 * bleu: 50.6 * brevity\_penalty: 0.96 * ref\_len: 69504.0 * src\_name: English * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: en * tgt\_alpha2: bg * prefer\_old: False * long\_pair: eng-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-bul\n\n\n* source group: English\n* target group: Bulgarian\n* OPUS readme: eng-bul\n* model: transformer\n* source language(s): eng\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.6, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: eng-bul\n* source\\_languages: eng\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bg']\n* src\\_constituents: {'eng'}\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: eng\n* tgt\\_alpha3: bul\n* short\\_pair: en-bg\n* chrF2\\_score: 0.68\n* bleu: 50.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 69504.0\n* src\\_name: English\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: eng-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 #en #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-bul\n\n\n* source group: English\n* target group: Bulgarian\n* OPUS readme: eng-bul\n* model: transformer\n* source language(s): eng\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.6, chr-F: 0.680", "### System Info:\n\n\n* hf\\_name: eng-bul\n* source\\_languages: eng\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bg']\n* src\\_constituents: {'eng'}\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: eng\n* tgt\\_alpha3: bul\n* short\\_pair: en-bg\n* chrF2\\_score: 0.68\n* bleu: 50.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 69504.0\n* src\\_name: English\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: eng-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 163, 408 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-bul\n\n\n* source group: English\n* target group: Bulgarian\n* OPUS readme: eng-bul\n* model: transformer\n* source language(s): eng\n* target language(s): bul bul\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.6, chr-F: 0.680### System Info:\n\n\n* hf\\_name: eng-bul\n* source\\_languages: eng\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bg']\n* src\\_constituents: {'eng'}\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: eng\n* tgt\\_alpha3: bul\n* short\\_pair: en-bg\n* chrF2\\_score: 0.68\n* bleu: 50.6\n* brevity\\_penalty: 0.96\n* ref\\_len: 69504.0\n* src\\_name: English\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: en\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: eng-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-en-bi * source languages: en * target languages: bi * OPUS readme: [en-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-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/en-bi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.bi \| 36.4 \| 0.543 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-bi * source languages: en * target languages: bi * OPUS readme: en-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: 36.4, chr-F: 0.543	[ "### opus-mt-en-bi\n\n\n* source languages: en\n* target languages: bi\n* OPUS readme: en-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: 36.4, chr-F: 0.543" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-bi\n\n\n* source languages: en\n* target languages: bi\n* OPUS readme: en-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: 36.4, chr-F: 0.543" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-bi\n\n\n* source languages: en\n* target languages: bi\n* OPUS readme: en-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: 36.4, chr-F: 0.543" ]
translation	transformers	### eng-bnt * source group: English * target group: Bantu languages * OPUS readme: [eng-bnt](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md) * model: transformer * source language(s): eng * target language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-kin.eng.kin \| 12.5 \| 0.519 \| \| Tatoeba-test.eng-lin.eng.lin \| 1.1 \| 0.277 \| \| Tatoeba-test.eng-lug.eng.lug \| 4.8 \| 0.415 \| \| Tatoeba-test.eng.multi \| 12.1 \| 0.449 \| \| Tatoeba-test.eng-nya.eng.nya \| 22.1 \| 0.616 \| \| Tatoeba-test.eng-run.eng.run \| 13.2 \| 0.492 \| \| Tatoeba-test.eng-sna.eng.sna \| 32.1 \| 0.669 \| \| Tatoeba-test.eng-swa.eng.swa \| 1.7 \| 0.180 \| \| Tatoeba-test.eng-toi.eng.toi \| 10.7 \| 0.266 \| \| Tatoeba-test.eng-tso.eng.tso \| 26.9 \| 0.631 \| \| Tatoeba-test.eng-umb.eng.umb \| 5.2 \| 0.295 \| \| Tatoeba-test.eng-xho.eng.xho \| 22.6 \| 0.615 \| \| Tatoeba-test.eng-zul.eng.zul \| 41.1 \| 0.769 \| ### System Info: - hf_name: eng-bnt - source_languages: eng - target_languages: bnt - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt'] - src_constituents: {'eng'} - tgt_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt - src_alpha3: eng - tgt_alpha3: bnt - short_pair: en-bnt - chrF2_score: 0.449 - bleu: 12.1 - brevity_penalty: 1.0 - ref_len: 9989.0 - src_name: English - tgt_name: Bantu languages - train_date: 2020-07-26 - src_alpha2: en - tgt_alpha2: bnt - prefer_old: False - long_pair: eng-bnt - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "sn", "zu", "rw", "lg", "ts", "ln", "ny", "xh", "rn", "bnt"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bnt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "sn", "zu", "rw", "lg", "ts", "ln", "ny", "xh", "rn", "bnt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "sn", "zu", "rw", "lg", "ts", "ln", "ny", "xh", "rn", "bnt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #sn #zu #rw #lg #ts #ln #ny #xh #rn #bnt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-bnt * source group: English * target group: Bantu languages * OPUS readme: eng-bnt * model: transformer * source language(s): eng * target language(s): kin lin lug nya run sna swh toi\_Latn tso umb xho zul * 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: 12.5, chr-F: 0.519 testset: URL, BLEU: 1.1, chr-F: 0.277 testset: URL, BLEU: 4.8, chr-F: 0.415 testset: URL, BLEU: 12.1, chr-F: 0.449 testset: URL, BLEU: 22.1, chr-F: 0.616 testset: URL, BLEU: 13.2, chr-F: 0.492 testset: URL, BLEU: 32.1, chr-F: 0.669 testset: URL, BLEU: 1.7, chr-F: 0.180 testset: URL, BLEU: 10.7, chr-F: 0.266 testset: URL, BLEU: 26.9, chr-F: 0.631 testset: URL, BLEU: 5.2, chr-F: 0.295 testset: URL, BLEU: 22.6, chr-F: 0.615 testset: URL, BLEU: 41.1, chr-F: 0.769 ### System Info: * hf\_name: eng-bnt * source\_languages: eng * target\_languages: bnt * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt'] * src\_constituents: {'eng'} * tgt\_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi\_Latn', 'umb'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: bnt * short\_pair: en-bnt * chrF2\_score: 0.449 * bleu: 12.1 * brevity\_penalty: 1.0 * ref\_len: 9989.0 * src\_name: English * tgt\_name: Bantu languages * train\_date: 2020-07-26 * src\_alpha2: en * tgt\_alpha2: bnt * prefer\_old: False * long\_pair: eng-bnt * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-bnt\n\n\n* source group: English\n* target group: Bantu languages\n* OPUS readme: eng-bnt\n* model: transformer\n* source language(s): eng\n* target language(s): kin lin lug nya run sna swh toi\\_Latn tso umb xho zul\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: 12.5, chr-F: 0.519\ntestset: URL, BLEU: 1.1, chr-F: 0.277\ntestset: URL, BLEU: 4.8, chr-F: 0.415\ntestset: URL, BLEU: 12.1, chr-F: 0.449\ntestset: URL, BLEU: 22.1, chr-F: 0.616\ntestset: URL, BLEU: 13.2, chr-F: 0.492\ntestset: URL, BLEU: 32.1, chr-F: 0.669\ntestset: URL, BLEU: 1.7, chr-F: 0.180\ntestset: URL, BLEU: 10.7, chr-F: 0.266\ntestset: URL, BLEU: 26.9, chr-F: 0.631\ntestset: URL, BLEU: 5.2, chr-F: 0.295\ntestset: URL, BLEU: 22.6, chr-F: 0.615\ntestset: URL, BLEU: 41.1, chr-F: 0.769", "### System Info:\n\n\n* hf\\_name: eng-bnt\n* source\\_languages: eng\n* target\\_languages: bnt\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bnt\n* short\\_pair: en-bnt\n* chrF2\\_score: 0.449\n* bleu: 12.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 9989.0\n* src\\_name: English\n* tgt\\_name: Bantu languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: bnt\n* prefer\\_old: False\n* long\\_pair: eng-bnt\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 #en #sn #zu #rw #lg #ts #ln #ny #xh #rn #bnt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-bnt\n\n\n* source group: English\n* target group: Bantu languages\n* OPUS readme: eng-bnt\n* model: transformer\n* source language(s): eng\n* target language(s): kin lin lug nya run sna swh toi\\_Latn tso umb xho zul\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: 12.5, chr-F: 0.519\ntestset: URL, BLEU: 1.1, chr-F: 0.277\ntestset: URL, BLEU: 4.8, chr-F: 0.415\ntestset: URL, BLEU: 12.1, chr-F: 0.449\ntestset: URL, BLEU: 22.1, chr-F: 0.616\ntestset: URL, BLEU: 13.2, chr-F: 0.492\ntestset: URL, BLEU: 32.1, chr-F: 0.669\ntestset: URL, BLEU: 1.7, chr-F: 0.180\ntestset: URL, BLEU: 10.7, chr-F: 0.266\ntestset: URL, BLEU: 26.9, chr-F: 0.631\ntestset: URL, BLEU: 5.2, chr-F: 0.295\ntestset: URL, BLEU: 22.6, chr-F: 0.615\ntestset: URL, BLEU: 41.1, chr-F: 0.769", "### System Info:\n\n\n* hf\\_name: eng-bnt\n* source\\_languages: eng\n* target\\_languages: bnt\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bnt\n* short\\_pair: en-bnt\n* chrF2\\_score: 0.449\n* bleu: 12.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 9989.0\n* src\\_name: English\n* tgt\\_name: Bantu languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: bnt\n* prefer\\_old: False\n* long\\_pair: eng-bnt\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 75, 454, 499 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #sn #zu #rw #lg #ts #ln #ny #xh #rn #bnt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-bnt\n\n\n* source group: English\n* target group: Bantu languages\n* OPUS readme: eng-bnt\n* model: transformer\n* source language(s): eng\n* target language(s): kin lin lug nya run sna swh toi\\_Latn tso umb xho zul\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: 12.5, chr-F: 0.519\ntestset: URL, BLEU: 1.1, chr-F: 0.277\ntestset: URL, BLEU: 4.8, chr-F: 0.415\ntestset: URL, BLEU: 12.1, chr-F: 0.449\ntestset: URL, BLEU: 22.1, chr-F: 0.616\ntestset: URL, BLEU: 13.2, chr-F: 0.492\ntestset: URL, BLEU: 32.1, chr-F: 0.669\ntestset: URL, BLEU: 1.7, chr-F: 0.180\ntestset: URL, BLEU: 10.7, chr-F: 0.266\ntestset: URL, BLEU: 26.9, chr-F: 0.631\ntestset: URL, BLEU: 5.2, chr-F: 0.295\ntestset: URL, BLEU: 22.6, chr-F: 0.615\ntestset: URL, BLEU: 41.1, chr-F: 0.769### System Info:\n\n\n* hf\\_name: eng-bnt\n* source\\_languages: eng\n* target\\_languages: bnt\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi\\_Latn', 'umb'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: bnt\n* short\\_pair: en-bnt\n* chrF2\\_score: 0.449\n* bleu: 12.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 9989.0\n* src\\_name: English\n* tgt\\_name: Bantu languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: bnt\n* prefer\\_old: False\n* long\\_pair: eng-bnt\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-en-bzs * source languages: en * target languages: bzs * OPUS readme: [en-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.bzs \| 43.4 \| 0.612 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-bzs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-bzs * source languages: en * target languages: bzs * OPUS readme: en-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: 43.4, chr-F: 0.612	[ "### opus-mt-en-bzs\n\n\n* source languages: en\n* target languages: bzs\n* OPUS readme: en-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: 43.4, chr-F: 0.612" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-bzs\n\n\n* source languages: en\n* target languages: bzs\n* OPUS readme: en-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: 43.4, chr-F: 0.612" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-bzs\n\n\n* source languages: en\n* target languages: bzs\n* OPUS readme: en-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: 43.4, chr-F: 0.612" ]
translation	transformers	### opus-mt-en-ca * source languages: en * target languages: ca * OPUS readme: [en-ca](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ca/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.ca \| 47.2 \| 0.665 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ca	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "ca", "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 #en #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ca * source languages: en * target languages: ca * OPUS readme: en-ca * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 47.2, chr-F: 0.665	[ "### opus-mt-en-ca\n\n\n* source languages: en\n* target languages: ca\n* OPUS readme: en-ca\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.2, chr-F: 0.665" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ca\n\n\n* source languages: en\n* target languages: ca\n* OPUS readme: en-ca\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.2, chr-F: 0.665" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ca\n\n\n* source languages: en\n* target languages: ca\n* OPUS readme: en-ca\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.2, chr-F: 0.665" ]
translation	transformers	### opus-mt-en-ceb * source languages: en * target languages: ceb * OPUS readme: [en-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ceb \| 51.3 \| 0.704 \| \| Tatoeba.en.ceb \| 31.3 \| 0.600 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ceb	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ceb * source languages: en * target languages: ceb * OPUS readme: en-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: 51.3, chr-F: 0.704 testset: URL, BLEU: 31.3, chr-F: 0.600	[ "### opus-mt-en-ceb\n\n\n* source languages: en\n* target languages: ceb\n* OPUS readme: en-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: 51.3, chr-F: 0.704\ntestset: URL, BLEU: 31.3, chr-F: 0.600" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ceb\n\n\n* source languages: en\n* target languages: ceb\n* OPUS readme: en-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: 51.3, chr-F: 0.704\ntestset: URL, BLEU: 31.3, chr-F: 0.600" ]	[ 52, 131 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ceb\n\n\n* source languages: en\n* target languages: ceb\n* OPUS readme: en-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: 51.3, chr-F: 0.704\ntestset: URL, BLEU: 31.3, chr-F: 0.600" ]
translation	transformers	### eng-cel * source group: English * target group: Celtic languages * OPUS readme: [eng-cel](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md) * model: transformer * source language(s): eng * target language(s): bre cor cym gla gle glv * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-bre.eng.bre \| 11.5 \| 0.338 \| \| Tatoeba-test.eng-cor.eng.cor \| 0.3 \| 0.095 \| \| Tatoeba-test.eng-cym.eng.cym \| 31.0 \| 0.549 \| \| Tatoeba-test.eng-gla.eng.gla \| 7.6 \| 0.317 \| \| Tatoeba-test.eng-gle.eng.gle \| 35.9 \| 0.582 \| \| Tatoeba-test.eng-glv.eng.glv \| 9.9 \| 0.454 \| \| Tatoeba-test.eng.multi \| 18.0 \| 0.342 \| ### System Info: - hf_name: eng-cel - source_languages: eng - target_languages: cel - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel'] - src_constituents: {'eng'} - tgt_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: cel - short_pair: en-cel - chrF2_score: 0.342 - bleu: 18.0 - brevity_penalty: 0.9590000000000001 - ref_len: 45370.0 - src_name: English - tgt_name: Celtic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: cel - prefer_old: False - long_pair: eng-cel - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "gd", "ga", "br", "kw", "gv", "cy", "cel"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cel	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "gd", "ga", "br", "kw", "gv", "cy", "cel", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "gd", "ga", "br", "kw", "gv", "cy", "cel" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #gd #ga #br #kw #gv #cy #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-cel * source group: English * target group: Celtic languages * OPUS readme: eng-cel * model: transformer * source language(s): eng * target language(s): bre cor cym gla gle glv * 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: 11.5, chr-F: 0.338 testset: URL, BLEU: 0.3, chr-F: 0.095 testset: URL, BLEU: 31.0, chr-F: 0.549 testset: URL, BLEU: 7.6, chr-F: 0.317 testset: URL, BLEU: 35.9, chr-F: 0.582 testset: URL, BLEU: 9.9, chr-F: 0.454 testset: URL, BLEU: 18.0, chr-F: 0.342 ### System Info: * hf\_name: eng-cel * source\_languages: eng * target\_languages: cel * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel'] * src\_constituents: {'eng'} * tgt\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: cel * short\_pair: en-cel * chrF2\_score: 0.342 * bleu: 18.0 * brevity\_penalty: 0.9590000000000001 * ref\_len: 45370.0 * src\_name: English * tgt\_name: Celtic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: cel * prefer\_old: False * long\_pair: eng-cel * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-cel\n\n\n* source group: English\n* target group: Celtic languages\n* OPUS readme: eng-cel\n* model: transformer\n* source language(s): eng\n* target language(s): bre cor cym gla gle glv\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: 11.5, chr-F: 0.338\ntestset: URL, BLEU: 0.3, chr-F: 0.095\ntestset: URL, BLEU: 31.0, chr-F: 0.549\ntestset: URL, BLEU: 7.6, chr-F: 0.317\ntestset: URL, BLEU: 35.9, chr-F: 0.582\ntestset: URL, BLEU: 9.9, chr-F: 0.454\ntestset: URL, BLEU: 18.0, chr-F: 0.342", "### System Info:\n\n\n* hf\\_name: eng-cel\n* source\\_languages: eng\n* target\\_languages: cel\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cel\n* short\\_pair: en-cel\n* chrF2\\_score: 0.342\n* bleu: 18.0\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 45370.0\n* src\\_name: English\n* tgt\\_name: Celtic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cel\n* prefer\\_old: False\n* long\\_pair: eng-cel\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 #en #gd #ga #br #kw #gv #cy #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-cel\n\n\n* source group: English\n* target group: Celtic languages\n* OPUS readme: eng-cel\n* model: transformer\n* source language(s): eng\n* target language(s): bre cor cym gla gle glv\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: 11.5, chr-F: 0.338\ntestset: URL, BLEU: 0.3, chr-F: 0.095\ntestset: URL, BLEU: 31.0, chr-F: 0.549\ntestset: URL, BLEU: 7.6, chr-F: 0.317\ntestset: URL, BLEU: 35.9, chr-F: 0.582\ntestset: URL, BLEU: 9.9, chr-F: 0.454\ntestset: URL, BLEU: 18.0, chr-F: 0.342", "### System Info:\n\n\n* hf\\_name: eng-cel\n* source\\_languages: eng\n* target\\_languages: cel\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cel\n* short\\_pair: en-cel\n* chrF2\\_score: 0.342\n* bleu: 18.0\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 45370.0\n* src\\_name: English\n* tgt\\_name: Celtic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cel\n* prefer\\_old: False\n* long\\_pair: eng-cel\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 66, 305, 459 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gd #ga #br #kw #gv #cy #cel #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-cel\n\n\n* source group: English\n* target group: Celtic languages\n* OPUS readme: eng-cel\n* model: transformer\n* source language(s): eng\n* target language(s): bre cor cym gla gle glv\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: 11.5, chr-F: 0.338\ntestset: URL, BLEU: 0.3, chr-F: 0.095\ntestset: URL, BLEU: 31.0, chr-F: 0.549\ntestset: URL, BLEU: 7.6, chr-F: 0.317\ntestset: URL, BLEU: 35.9, chr-F: 0.582\ntestset: URL, BLEU: 9.9, chr-F: 0.454\ntestset: URL, BLEU: 18.0, chr-F: 0.342### System Info:\n\n\n* hf\\_name: eng-cel\n* source\\_languages: eng\n* target\\_languages: cel\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cel\n* short\\_pair: en-cel\n* chrF2\\_score: 0.342\n* bleu: 18.0\n* brevity\\_penalty: 0.9590000000000001\n* ref\\_len: 45370.0\n* src\\_name: English\n* tgt\\_name: Celtic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cel\n* prefer\\_old: False\n* long\\_pair: eng-cel\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-en-chk * source languages: en * target languages: chk * OPUS readme: [en-chk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-chk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.chk \| 26.1 \| 0.468 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-chk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "chk", "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 #en #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-chk * source languages: en * target languages: chk * OPUS readme: en-chk * dataset: 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: 0.468	[ "### opus-mt-en-chk\n\n\n* source languages: en\n* target languages: chk\n* OPUS readme: en-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-chk\n\n\n* source languages: en\n* target languages: chk\n* OPUS readme: en-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #chk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-chk\n\n\n* source languages: en\n* target languages: chk\n* OPUS readme: en-chk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.468" ]
translation	transformers	### eng-cpf * source group: English * target group: Creoles and pidgins, French‑based * OPUS readme: [eng-cpf](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md) * model: transformer * source language(s): eng * target language(s): gcf_Latn hat mfe * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-gcf.eng.gcf \| 6.2 \| 0.262 \| \| Tatoeba-test.eng-hat.eng.hat \| 25.7 \| 0.451 \| \| Tatoeba-test.eng-mfe.eng.mfe \| 80.1 \| 0.900 \| \| Tatoeba-test.eng.multi \| 15.9 \| 0.354 \| ### System Info: - hf_name: eng-cpf - source_languages: eng - target_languages: cpf - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ht', 'cpf'] - src_constituents: {'eng'} - tgt_constituents: {'gcf_Latn', 'hat', 'mfe'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt - src_alpha3: eng - tgt_alpha3: cpf - short_pair: en-cpf - chrF2_score: 0.354 - bleu: 15.9 - brevity_penalty: 1.0 - ref_len: 1012.0 - src_name: English - tgt_name: Creoles and pidgins, French‑based - train_date: 2020-07-26 - src_alpha2: en - tgt_alpha2: cpf - prefer_old: False - long_pair: eng-cpf - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "ht", "cpf"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cpf	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "ht", "cpf", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "ht", "cpf" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #ht #cpf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-cpf * source group: English * target group: Creoles and pidgins, French‑based * OPUS readme: eng-cpf * model: transformer * source language(s): eng * target language(s): gcf\_Latn hat mfe * 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: 6.2, chr-F: 0.262 testset: URL, BLEU: 25.7, chr-F: 0.451 testset: URL, BLEU: 80.1, chr-F: 0.900 testset: URL, BLEU: 15.9, chr-F: 0.354 ### System Info: * hf\_name: eng-cpf * source\_languages: eng * target\_languages: cpf * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'ht', 'cpf'] * src\_constituents: {'eng'} * tgt\_constituents: {'gcf\_Latn', 'hat', 'mfe'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: cpf * short\_pair: en-cpf * chrF2\_score: 0.354 * bleu: 15.9 * brevity\_penalty: 1.0 * ref\_len: 1012.0 * src\_name: English * tgt\_name: Creoles and pidgins, French‑based * train\_date: 2020-07-26 * src\_alpha2: en * tgt\_alpha2: cpf * prefer\_old: False * long\_pair: eng-cpf * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-cpf\n\n\n* source group: English\n* target group: Creoles and pidgins, French‑based\n* OPUS readme: eng-cpf\n* model: transformer\n* source language(s): eng\n* target language(s): gcf\\_Latn hat mfe\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: 6.2, chr-F: 0.262\ntestset: URL, BLEU: 25.7, chr-F: 0.451\ntestset: URL, BLEU: 80.1, chr-F: 0.900\ntestset: URL, BLEU: 15.9, chr-F: 0.354", "### System Info:\n\n\n* hf\\_name: eng-cpf\n* source\\_languages: eng\n* target\\_languages: cpf\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ht', 'cpf']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpf\n* short\\_pair: en-cpf\n* chrF2\\_score: 0.354\n* bleu: 15.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 1012.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, French‑based\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: cpf\n* prefer\\_old: False\n* long\\_pair: eng-cpf\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 #en #ht #cpf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-cpf\n\n\n* source group: English\n* target group: Creoles and pidgins, French‑based\n* OPUS readme: eng-cpf\n* model: transformer\n* source language(s): eng\n* target language(s): gcf\\_Latn hat mfe\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: 6.2, chr-F: 0.262\ntestset: URL, BLEU: 25.7, chr-F: 0.451\ntestset: URL, BLEU: 80.1, chr-F: 0.900\ntestset: URL, BLEU: 15.9, chr-F: 0.354", "### System Info:\n\n\n* hf\\_name: eng-cpf\n* source\\_languages: eng\n* target\\_languages: cpf\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ht', 'cpf']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpf\n* short\\_pair: en-cpf\n* chrF2\\_score: 0.354\n* bleu: 15.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 1012.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, French‑based\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: cpf\n* prefer\\_old: False\n* long\\_pair: eng-cpf\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 55, 240, 426 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ht #cpf #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-cpf\n\n\n* source group: English\n* target group: Creoles and pidgins, French‑based\n* OPUS readme: eng-cpf\n* model: transformer\n* source language(s): eng\n* target language(s): gcf\\_Latn hat mfe\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: 6.2, chr-F: 0.262\ntestset: URL, BLEU: 25.7, chr-F: 0.451\ntestset: URL, BLEU: 80.1, chr-F: 0.900\ntestset: URL, BLEU: 15.9, chr-F: 0.354### System Info:\n\n\n* hf\\_name: eng-cpf\n* source\\_languages: eng\n* target\\_languages: cpf\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ht', 'cpf']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gcf\\_Latn', 'hat', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpf\n* short\\_pair: en-cpf\n* chrF2\\_score: 0.354\n* bleu: 15.9\n* brevity\\_penalty: 1.0\n* ref\\_len: 1012.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, French‑based\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: cpf\n* prefer\\_old: False\n* long\\_pair: eng-cpf\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-cpp * source group: English * target group: Creoles and pidgins, Portuguese-based * OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md) * model: transformer * source language(s): eng * target language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-msa.eng.msa \| 32.6 \| 0.573 \| \| Tatoeba-test.eng.multi \| 32.7 \| 0.574 \| \| Tatoeba-test.eng-pap.eng.pap \| 42.5 \| 0.633 \| ### System Info: - hf_name: eng-cpp - source_languages: eng - target_languages: cpp - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'id', 'cpp'] - src_constituents: {'eng'} - tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: cpp - short_pair: en-cpp - chrF2_score: 0.574 - bleu: 32.7 - brevity_penalty: 0.996 - ref_len: 34010.0 - src_name: English - tgt_name: Creoles and pidgins, Portuguese-based - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: cpp - prefer_old: False - long_pair: eng-cpp - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "id", "cpp"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cpp	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "id", "cpp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "id", "cpp" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-cpp * source group: English * target group: Creoles and pidgins, Portuguese-based * OPUS readme: eng-cpp * model: transformer * source language(s): eng * target language(s): ind max\_Latn min pap tmw\_Latn zlm\_Latn zsm\_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.6, chr-F: 0.573 testset: URL, BLEU: 32.7, chr-F: 0.574 testset: URL, BLEU: 42.5, chr-F: 0.633 ### System Info: * hf\_name: eng-cpp * source\_languages: eng * target\_languages: cpp * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'id', 'cpp'] * src\_constituents: {'eng'} * tgt\_constituents: {'zsm\_Latn', 'ind', 'pap', 'min', 'tmw\_Latn', 'max\_Latn', 'zlm\_Latn'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: cpp * short\_pair: en-cpp * chrF2\_score: 0.574 * bleu: 32.7 * brevity\_penalty: 0.996 * ref\_len: 34010.0 * src\_name: English * tgt\_name: Creoles and pidgins, Portuguese-based * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: cpp * prefer\_old: False * long\_pair: eng-cpp * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-cpp\n\n\n* source group: English\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: eng-cpp\n* model: transformer\n* source language(s): eng\n* target language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.573\ntestset: URL, BLEU: 32.7, chr-F: 0.574\ntestset: URL, BLEU: 42.5, chr-F: 0.633", "### System Info:\n\n\n* hf\\_name: eng-cpp\n* source\\_languages: eng\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'id', 'cpp']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpp\n* short\\_pair: en-cpp\n* chrF2\\_score: 0.574\n* bleu: 32.7\n* brevity\\_penalty: 0.996\n* ref\\_len: 34010.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: eng-cpp\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-cpp\n\n\n* source group: English\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: eng-cpp\n* model: transformer\n* source language(s): eng\n* target language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.573\ntestset: URL, BLEU: 32.7, chr-F: 0.574\ntestset: URL, BLEU: 42.5, chr-F: 0.633", "### System Info:\n\n\n* hf\\_name: eng-cpp\n* source\\_languages: eng\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'id', 'cpp']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpp\n* short\\_pair: en-cpp\n* chrF2\\_score: 0.574\n* bleu: 32.7\n* brevity\\_penalty: 0.996\n* ref\\_len: 34010.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: eng-cpp\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 54, 242, 460 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #id #cpp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-cpp\n\n\n* source group: English\n* target group: Creoles and pidgins, Portuguese-based\n* OPUS readme: eng-cpp\n* model: transformer\n* source language(s): eng\n* target language(s): ind max\\_Latn min pap tmw\\_Latn zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.573\ntestset: URL, BLEU: 32.7, chr-F: 0.574\ntestset: URL, BLEU: 42.5, chr-F: 0.633### System Info:\n\n\n* hf\\_name: eng-cpp\n* source\\_languages: eng\n* target\\_languages: cpp\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'id', 'cpp']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'pap', 'min', 'tmw\\_Latn', 'max\\_Latn', 'zlm\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cpp\n* short\\_pair: en-cpp\n* chrF2\\_score: 0.574\n* bleu: 32.7\n* brevity\\_penalty: 0.996\n* ref\\_len: 34010.0\n* src\\_name: English\n* tgt\\_name: Creoles and pidgins, Portuguese-based\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cpp\n* prefer\\_old: False\n* long\\_pair: eng-cpp\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-en-crs * source languages: en * target languages: crs * OPUS readme: [en-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.crs \| 45.2 \| 0.617 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-crs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-crs * source languages: en * target languages: crs * OPUS readme: en-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: 45.2, chr-F: 0.617	[ "### opus-mt-en-crs\n\n\n* source languages: en\n* target languages: crs\n* OPUS readme: en-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: 45.2, chr-F: 0.617" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-crs\n\n\n* source languages: en\n* target languages: crs\n* OPUS readme: en-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: 45.2, chr-F: 0.617" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-crs\n\n\n* source languages: en\n* target languages: crs\n* OPUS readme: en-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: 45.2, chr-F: 0.617" ]
translation	transformers	### opus-mt-en-cs * source languages: en * target languages: cs * OPUS readme: [en-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.en.cs \| 22.8 \| 0.507 \| \| news-test2008.en.cs \| 20.7 \| 0.485 \| \| newstest2009.en.cs \| 21.8 \| 0.500 \| \| newstest2010.en.cs \| 22.1 \| 0.505 \| \| newstest2011.en.cs \| 23.2 \| 0.507 \| \| newstest2012.en.cs \| 20.8 \| 0.482 \| \| newstest2013.en.cs \| 24.7 \| 0.514 \| \| newstest2015-encs.en.cs \| 24.9 \| 0.527 \| \| newstest2016-encs.en.cs \| 26.7 \| 0.540 \| \| newstest2017-encs.en.cs \| 22.7 \| 0.503 \| \| newstest2018-encs.en.cs \| 22.9 \| 0.504 \| \| newstest2019-encs.en.cs \| 24.9 \| 0.518 \| \| Tatoeba.en.cs \| 46.1 \| 0.647 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cs	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "cs", "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 #en #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-cs * source languages: en * target languages: cs * OPUS readme: en-cs * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.8, chr-F: 0.507 testset: URL, BLEU: 20.7, chr-F: 0.485 testset: URL, BLEU: 21.8, chr-F: 0.500 testset: URL, BLEU: 22.1, chr-F: 0.505 testset: URL, BLEU: 23.2, chr-F: 0.507 testset: URL, BLEU: 20.8, chr-F: 0.482 testset: URL, BLEU: 24.7, chr-F: 0.514 testset: URL, BLEU: 24.9, chr-F: 0.527 testset: URL, BLEU: 26.7, chr-F: 0.540 testset: URL, BLEU: 22.7, chr-F: 0.503 testset: URL, BLEU: 22.9, chr-F: 0.504 testset: URL, BLEU: 24.9, chr-F: 0.518 testset: URL, BLEU: 46.1, chr-F: 0.647	[ "### opus-mt-en-cs\n\n\n* source languages: en\n* target languages: cs\n* OPUS readme: en-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.507\ntestset: URL, BLEU: 20.7, chr-F: 0.485\ntestset: URL, BLEU: 21.8, chr-F: 0.500\ntestset: URL, BLEU: 22.1, chr-F: 0.505\ntestset: URL, BLEU: 23.2, chr-F: 0.507\ntestset: URL, BLEU: 20.8, chr-F: 0.482\ntestset: URL, BLEU: 24.7, chr-F: 0.514\ntestset: URL, BLEU: 24.9, chr-F: 0.527\ntestset: URL, BLEU: 26.7, chr-F: 0.540\ntestset: URL, BLEU: 22.7, chr-F: 0.503\ntestset: URL, BLEU: 22.9, chr-F: 0.504\ntestset: URL, BLEU: 24.9, chr-F: 0.518\ntestset: URL, BLEU: 46.1, chr-F: 0.647" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-cs\n\n\n* source languages: en\n* target languages: cs\n* OPUS readme: en-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.507\ntestset: URL, BLEU: 20.7, chr-F: 0.485\ntestset: URL, BLEU: 21.8, chr-F: 0.500\ntestset: URL, BLEU: 22.1, chr-F: 0.505\ntestset: URL, BLEU: 23.2, chr-F: 0.507\ntestset: URL, BLEU: 20.8, chr-F: 0.482\ntestset: URL, BLEU: 24.7, chr-F: 0.514\ntestset: URL, BLEU: 24.9, chr-F: 0.527\ntestset: URL, BLEU: 26.7, chr-F: 0.540\ntestset: URL, BLEU: 22.7, chr-F: 0.503\ntestset: URL, BLEU: 22.9, chr-F: 0.504\ntestset: URL, BLEU: 24.9, chr-F: 0.518\ntestset: URL, BLEU: 46.1, chr-F: 0.647" ]	[ 51, 379 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-cs\n\n\n* source languages: en\n* target languages: cs\n* OPUS readme: en-cs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.507\ntestset: URL, BLEU: 20.7, chr-F: 0.485\ntestset: URL, BLEU: 21.8, chr-F: 0.500\ntestset: URL, BLEU: 22.1, chr-F: 0.505\ntestset: URL, BLEU: 23.2, chr-F: 0.507\ntestset: URL, BLEU: 20.8, chr-F: 0.482\ntestset: URL, BLEU: 24.7, chr-F: 0.514\ntestset: URL, BLEU: 24.9, chr-F: 0.527\ntestset: URL, BLEU: 26.7, chr-F: 0.540\ntestset: URL, BLEU: 22.7, chr-F: 0.503\ntestset: URL, BLEU: 22.9, chr-F: 0.504\ntestset: URL, BLEU: 24.9, chr-F: 0.518\ntestset: URL, BLEU: 46.1, chr-F: 0.647" ]
translation	transformers	### eng-cus * source group: English * target group: Cushitic languages * OPUS readme: [eng-cus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md) * model: transformer * source language(s): eng * target language(s): som * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.multi \| 16.0 \| 0.173 \| \| Tatoeba-test.eng-som.eng.som \| 16.0 \| 0.173 \| ### System Info: - hf_name: eng-cus - source_languages: eng - target_languages: cus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'so', 'cus'] - src_constituents: {'eng'} - tgt_constituents: {'som'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: cus - short_pair: en-cus - chrF2_score: 0.17300000000000001 - bleu: 16.0 - brevity_penalty: 1.0 - ref_len: 3.0 - src_name: English - tgt_name: Cushitic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: cus - prefer_old: False - long_pair: eng-cus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "so", "cus"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cus	null	[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "en", "so", "cus", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "so", "cus" ]	TAGS #transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #en #so #cus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-cus * source group: English * target group: Cushitic languages * OPUS readme: eng-cus * model: transformer * source language(s): eng * target language(s): som * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 16.0, chr-F: 0.173 testset: URL, BLEU: 16.0, chr-F: 0.173 ### System Info: * hf\_name: eng-cus * source\_languages: eng * target\_languages: cus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'so', 'cus'] * src\_constituents: {'eng'} * tgt\_constituents: {'som'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: cus * short\_pair: en-cus * chrF2\_score: 0.17300000000000001 * bleu: 16.0 * brevity\_penalty: 1.0 * ref\_len: 3.0 * src\_name: English * tgt\_name: Cushitic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: cus * prefer\_old: False * long\_pair: eng-cus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-cus\n\n\n* source group: English\n* target group: Cushitic languages\n* OPUS readme: eng-cus\n* model: transformer\n* source language(s): eng\n* target language(s): som\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 16.0, chr-F: 0.173", "### System Info:\n\n\n* hf\\_name: eng-cus\n* source\\_languages: eng\n* target\\_languages: cus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'cus']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cus\n* short\\_pair: en-cus\n* chrF2\\_score: 0.17300000000000001\n* bleu: 16.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: English\n* tgt\\_name: Cushitic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cus\n* prefer\\_old: False\n* long\\_pair: eng-cus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #en #so #cus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-cus\n\n\n* source group: English\n* target group: Cushitic languages\n* OPUS readme: eng-cus\n* model: transformer\n* source language(s): eng\n* target language(s): som\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 16.0, chr-F: 0.173", "### System Info:\n\n\n* hf\\_name: eng-cus\n* source\\_languages: eng\n* target\\_languages: cus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'cus']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cus\n* short\\_pair: en-cus\n* chrF2\\_score: 0.17300000000000001\n* bleu: 16.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: English\n* tgt\\_name: Cushitic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cus\n* prefer\\_old: False\n* long\\_pair: eng-cus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 58, 154, 410 ]	[ "TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #en #so #cus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-cus\n\n\n* source group: English\n* target group: Cushitic languages\n* OPUS readme: eng-cus\n* model: transformer\n* source language(s): eng\n* target language(s): som\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.0, chr-F: 0.173\ntestset: URL, BLEU: 16.0, chr-F: 0.173### System Info:\n\n\n* hf\\_name: eng-cus\n* source\\_languages: eng\n* target\\_languages: cus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'so', 'cus']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'som'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: cus\n* short\\_pair: en-cus\n* chrF2\\_score: 0.17300000000000001\n* bleu: 16.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 3.0\n* src\\_name: English\n* tgt\\_name: Cushitic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: cus\n* prefer\\_old: False\n* long\\_pair: eng-cus\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-en-cy * source languages: en * target languages: cy * OPUS readme: [en-cy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cy/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.cy \| 25.3 \| 0.487 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-cy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "cy", "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 #en #cy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-cy * source languages: en * target languages: cy * OPUS readme: en-cy * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.3, chr-F: 0.487	[ "### opus-mt-en-cy\n\n\n* source languages: en\n* target languages: cy\n* OPUS readme: en-cy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.487" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-cy\n\n\n* source languages: en\n* target languages: cy\n* OPUS readme: en-cy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.487" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #cy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-cy\n\n\n* source languages: en\n* target languages: cy\n* OPUS readme: en-cy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.487" ]
translation	transformers	### opus-mt-en-da * source languages: en * target languages: da * OPUS readme: [en-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-da/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.da \| 60.4 \| 0.745 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-da	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "da", "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 #en #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-da * source languages: en * target languages: da * OPUS readme: en-da * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 60.4, chr-F: 0.745	[ "### opus-mt-en-da\n\n\n* source languages: en\n* target languages: da\n* OPUS readme: en-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.4, chr-F: 0.745" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-da\n\n\n* source languages: en\n* target languages: da\n* OPUS readme: en-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.4, chr-F: 0.745" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-da\n\n\n* source languages: en\n* target languages: da\n* OPUS readme: en-da\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.4, chr-F: 0.745" ]
translation	transformers	### opus-mt-en-de ## Table of Contents - [Model Details](#model-details) - [Uses](#uses) - [Risks, Limitations and Biases](#risks-limitations-and-biases) - [Training](#training) - [Evaluation](#evaluation) - [Citation Information](#citation-information) - [How to Get Started With the Model](#how-to-get-started-with-the-model) ## Model Details Model Description: - Developed by: Language Technology Research Group at the University of Helsinki - Model Type: Translation - Language(s): - Source Language: English - Target Language: German - License: CC-BY-4.0 - Resources for more information: - [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) ## Uses #### Direct Use This model can be used for translation and text-to-text generation. ## Risks, Limitations and Biases CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Further details about the dataset for this model can be found in the OPUS readme: [en-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-de/README.md) #### Training Data ##### Preprocessing * pre-processing: normalization + SentencePiece * dataset: [opus](https://github.com/Helsinki-NLP/Opus-MT) * download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.test.txt) ## Evaluation #### Results * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.eval.txt) #### Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.en.de \| 23.5 \| 0.540 \| \| news-test2008.en.de \| 23.5 \| 0.529 \| \| newstest2009.en.de \| 22.3 \| 0.530 \| \| newstest2010.en.de \| 24.9 \| 0.544 \| \| newstest2011.en.de \| 22.5 \| 0.524 \| \| newstest2012.en.de \| 23.0 \| 0.525 \| \| newstest2013.en.de \| 26.9 \| 0.553 \| \| newstest2015-ende.en.de \| 31.1 \| 0.594 \| \| newstest2016-ende.en.de \| 37.0 \| 0.636 \| \| newstest2017-ende.en.de \| 29.9 \| 0.586 \| \| newstest2018-ende.en.de \| 45.2 \| 0.690 \| \| newstest2019-ende.en.de \| 40.9 \| 0.654 \| \| Tatoeba.en.de \| 47.3 \| 0.664 \| ## Citation Information ```bibtex @InProceedings{TiedemannThottingal:EAMT2020, author = {J{\"o}rg Tiedemann and Santhosh Thottingal}, title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld}, booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)}, year = {2020}, address = {Lisbon, Portugal} } ``` ## How to Get Started With the Model ```python from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-de") ```	{"license": "cc-by-4.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-de	null	[ "transformers", "pytorch", "tf", "jax", "rust", "marian", "text2text-generation", "translation", "en", "de", "license:cc-by-4.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #jax #rust #marian #text2text-generation #translation #en #de #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-de Table of Contents ----------------- * Model Details * Uses * Risks, Limitations and Biases * Training * Evaluation * Citation Information * How to Get Started With the Model Model Details ------------- Model Description: * Developed by: Language Technology Research Group at the University of Helsinki * Model Type: Translation * Language(s): + Source Language: English + Target Language: German * License: CC-BY-4.0 * Resources for more information: + GitHub Repo Uses ---- #### Direct Use This model can be used for translation and text-to-text generation. Risks, Limitations and Biases ----------------------------- CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Further details about the dataset for this model can be found in the OPUS readme: en-de #### Training Data ##### Preprocessing * pre-processing: normalization + SentencePiece * dataset: opus * download original weights: URL * test set translations: URL Evaluation ---------- #### Results * test set scores: URL #### Benchmarks testset: URL, BLEU: 23.5, chr-F: 0.540 testset: URL, BLEU: 23.5, chr-F: 0.529 testset: URL, BLEU: 22.3, chr-F: 0.530 testset: URL, BLEU: 24.9, chr-F: 0.544 testset: URL, BLEU: 22.5, chr-F: 0.524 testset: URL, BLEU: 23.0, chr-F: 0.525 testset: URL, BLEU: 26.9, chr-F: 0.553 testset: URL, BLEU: 31.1, chr-F: 0.594 testset: URL, BLEU: 37.0, chr-F: 0.636 testset: URL, BLEU: 29.9, chr-F: 0.586 testset: URL, BLEU: 45.2, chr-F: 0.690 testset: URL, BLEU: 40.9, chr-F: 0.654 testset: URL, BLEU: 47.3, chr-F: 0.664 How to Get Started With the Model ---------------------------------	[ "### opus-mt-en-de\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Translation\n* Language(s):\n\t+ Source Language: English\n\t+ Target Language: German\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----", "#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: en-de", "#### Training Data", "##### Preprocessing\n\n\n* pre-processing: normalization + SentencePiece\n* dataset: opus\n* download original weights: URL\n* test set translations: URL\n\n\nEvaluation\n----------", "#### Results\n\n\n* test set scores: URL", "#### Benchmarks\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.540\ntestset: URL, BLEU: 23.5, chr-F: 0.529\ntestset: URL, BLEU: 22.3, chr-F: 0.530\ntestset: URL, BLEU: 24.9, chr-F: 0.544\ntestset: URL, BLEU: 22.5, chr-F: 0.524\ntestset: URL, BLEU: 23.0, chr-F: 0.525\ntestset: URL, BLEU: 26.9, chr-F: 0.553\ntestset: URL, BLEU: 31.1, chr-F: 0.594\ntestset: URL, BLEU: 37.0, chr-F: 0.636\ntestset: URL, BLEU: 29.9, chr-F: 0.586\ntestset: URL, BLEU: 45.2, chr-F: 0.690\ntestset: URL, BLEU: 40.9, chr-F: 0.654\ntestset: URL, BLEU: 47.3, chr-F: 0.664\n\n\nHow to Get Started With the Model\n---------------------------------" ]	[ "TAGS\n#transformers #pytorch #tf #jax #rust #marian #text2text-generation #translation #en #de #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-de\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Translation\n* Language(s):\n\t+ Source Language: English\n\t+ Target Language: German\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----", "#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: en-de", "#### Training Data", "##### Preprocessing\n\n\n* pre-processing: normalization + SentencePiece\n* dataset: opus\n* download original weights: URL\n* test set translations: URL\n\n\nEvaluation\n----------", "#### Results\n\n\n* test set scores: URL", "#### Benchmarks\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.540\ntestset: URL, BLEU: 23.5, chr-F: 0.529\ntestset: URL, BLEU: 22.3, chr-F: 0.530\ntestset: URL, BLEU: 24.9, chr-F: 0.544\ntestset: URL, BLEU: 22.5, chr-F: 0.524\ntestset: URL, BLEU: 23.0, chr-F: 0.525\ntestset: URL, BLEU: 26.9, chr-F: 0.553\ntestset: URL, BLEU: 31.1, chr-F: 0.594\ntestset: URL, BLEU: 37.0, chr-F: 0.636\ntestset: URL, BLEU: 29.9, chr-F: 0.586\ntestset: URL, BLEU: 45.2, chr-F: 0.690\ntestset: URL, BLEU: 40.9, chr-F: 0.654\ntestset: URL, BLEU: 47.3, chr-F: 0.664\n\n\nHow to Get Started With the Model\n---------------------------------" ]	[ 57, 136, 140, 6, 49, 12, 341 ]	[ "TAGS\n#transformers #pytorch #tf #jax #rust #marian #text2text-generation #translation #en #de #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-de\n\n\nTable of Contents\n-----------------\n\n\n* Model Details\n* Uses\n* Risks, Limitations and Biases\n* Training\n* Evaluation\n* Citation Information\n* How to Get Started With the Model\n\n\nModel Details\n-------------\n\n\nModel Description:\n\n\n* Developed by: Language Technology Research Group at the University of Helsinki\n* Model Type: Translation\n* Language(s):\n\t+ Source Language: English\n\t+ Target Language: German\n* License: CC-BY-4.0\n* Resources for more information:\n\t+ GitHub Repo\n\n\nUses\n----#### Direct Use\n\n\nThis model can be used for translation and text-to-text generation.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nSignificant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).\n\n\nFurther details about the dataset for this model can be found in the OPUS readme: en-de#### Training Data##### Preprocessing\n\n\n* pre-processing: normalization + SentencePiece\n* dataset: opus\n* download original weights: URL\n* test set translations: URL\n\n\nEvaluation\n----------#### Results\n\n\n* test set scores: URL#### Benchmarks\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.540\ntestset: URL, BLEU: 23.5, chr-F: 0.529\ntestset: URL, BLEU: 22.3, chr-F: 0.530\ntestset: URL, BLEU: 24.9, chr-F: 0.544\ntestset: URL, BLEU: 22.5, chr-F: 0.524\ntestset: URL, BLEU: 23.0, chr-F: 0.525\ntestset: URL, BLEU: 26.9, chr-F: 0.553\ntestset: URL, BLEU: 31.1, chr-F: 0.594\ntestset: URL, BLEU: 37.0, chr-F: 0.636\ntestset: URL, BLEU: 29.9, chr-F: 0.586\ntestset: URL, BLEU: 45.2, chr-F: 0.690\ntestset: URL, BLEU: 40.9, chr-F: 0.654\ntestset: URL, BLEU: 47.3, chr-F: 0.664\n\n\nHow to Get Started With the Model\n---------------------------------" ]
translation	transformers	### eng-dra * source group: English * target group: Dravidian languages * OPUS readme: [eng-dra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md) * model: transformer * source language(s): eng * target language(s): kan mal tam tel * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-kan.eng.kan \| 4.7 \| 0.348 \| \| Tatoeba-test.eng-mal.eng.mal \| 13.1 \| 0.515 \| \| Tatoeba-test.eng.multi \| 10.7 \| 0.463 \| \| Tatoeba-test.eng-tam.eng.tam \| 9.0 \| 0.444 \| \| Tatoeba-test.eng-tel.eng.tel \| 7.1 \| 0.363 \| ### System Info: - hf_name: eng-dra - source_languages: eng - target_languages: dra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra'] - src_constituents: {'eng'} - tgt_constituents: {'tam', 'kan', 'mal', 'tel'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt - src_alpha3: eng - tgt_alpha3: dra - short_pair: en-dra - chrF2_score: 0.46299999999999997 - bleu: 10.7 - brevity_penalty: 1.0 - ref_len: 7928.0 - src_name: English - tgt_name: Dravidian languages - train_date: 2020-07-26 - src_alpha2: en - tgt_alpha2: dra - prefer_old: False - long_pair: eng-dra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "ta", "kn", "ml", "te", "dra"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-dra	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "ta", "kn", "ml", "te", "dra", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "ta", "kn", "ml", "te", "dra" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #ta #kn #ml #te #dra #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-dra * source group: English * target group: Dravidian languages * OPUS readme: eng-dra * model: transformer * source language(s): eng * target language(s): kan mal tam tel * 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: 4.7, chr-F: 0.348 testset: URL, BLEU: 13.1, chr-F: 0.515 testset: URL, BLEU: 10.7, chr-F: 0.463 testset: URL, BLEU: 9.0, chr-F: 0.444 testset: URL, BLEU: 7.1, chr-F: 0.363 ### System Info: * hf\_name: eng-dra * source\_languages: eng * target\_languages: dra * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra'] * src\_constituents: {'eng'} * tgt\_constituents: {'tam', 'kan', 'mal', 'tel'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: dra * short\_pair: en-dra * chrF2\_score: 0.46299999999999997 * bleu: 10.7 * brevity\_penalty: 1.0 * ref\_len: 7928.0 * src\_name: English * tgt\_name: Dravidian languages * train\_date: 2020-07-26 * src\_alpha2: en * tgt\_alpha2: dra * prefer\_old: False * long\_pair: eng-dra * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-dra\n\n\n* source group: English\n* target group: Dravidian languages\n* OPUS readme: eng-dra\n* model: transformer\n* source language(s): eng\n* target language(s): kan mal tam tel\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: 4.7, chr-F: 0.348\ntestset: URL, BLEU: 13.1, chr-F: 0.515\ntestset: URL, BLEU: 10.7, chr-F: 0.463\ntestset: URL, BLEU: 9.0, chr-F: 0.444\ntestset: URL, BLEU: 7.1, chr-F: 0.363", "### System Info:\n\n\n* hf\\_name: eng-dra\n* source\\_languages: eng\n* target\\_languages: dra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'tam', 'kan', 'mal', 'tel'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: dra\n* short\\_pair: en-dra\n* chrF2\\_score: 0.46299999999999997\n* bleu: 10.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 7928.0\n* src\\_name: English\n* tgt\\_name: Dravidian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: dra\n* prefer\\_old: False\n* long\\_pair: eng-dra\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 #en #ta #kn #ml #te #dra #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-dra\n\n\n* source group: English\n* target group: Dravidian languages\n* OPUS readme: eng-dra\n* model: transformer\n* source language(s): eng\n* target language(s): kan mal tam tel\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: 4.7, chr-F: 0.348\ntestset: URL, BLEU: 13.1, chr-F: 0.515\ntestset: URL, BLEU: 10.7, chr-F: 0.463\ntestset: URL, BLEU: 9.0, chr-F: 0.444\ntestset: URL, BLEU: 7.1, chr-F: 0.363", "### System Info:\n\n\n* hf\\_name: eng-dra\n* source\\_languages: eng\n* target\\_languages: dra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'tam', 'kan', 'mal', 'tel'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: dra\n* short\\_pair: en-dra\n* chrF2\\_score: 0.46299999999999997\n* bleu: 10.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 7928.0\n* src\\_name: English\n* tgt\\_name: Dravidian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: dra\n* prefer\\_old: False\n* long\\_pair: eng-dra\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 60, 254, 441 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ta #kn #ml #te #dra #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-dra\n\n\n* source group: English\n* target group: Dravidian languages\n* OPUS readme: eng-dra\n* model: transformer\n* source language(s): eng\n* target language(s): kan mal tam tel\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: 4.7, chr-F: 0.348\ntestset: URL, BLEU: 13.1, chr-F: 0.515\ntestset: URL, BLEU: 10.7, chr-F: 0.463\ntestset: URL, BLEU: 9.0, chr-F: 0.444\ntestset: URL, BLEU: 7.1, chr-F: 0.363### System Info:\n\n\n* hf\\_name: eng-dra\n* source\\_languages: eng\n* target\\_languages: dra\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'tam', 'kan', 'mal', 'tel'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: dra\n* short\\_pair: en-dra\n* chrF2\\_score: 0.46299999999999997\n* bleu: 10.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 7928.0\n* src\\_name: English\n* tgt\\_name: Dravidian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: dra\n* prefer\\_old: False\n* long\\_pair: eng-dra\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-en-ee * source languages: en * target languages: ee * OPUS readme: [en-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ee \| 38.2 \| 0.591 \| \| Tatoeba.en.ee \| 6.0 \| 0.347 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ee	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ee * source languages: en * target languages: ee * OPUS readme: en-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: 38.2, chr-F: 0.591 testset: URL, BLEU: 6.0, chr-F: 0.347	[ "### opus-mt-en-ee\n\n\n* source languages: en\n* target languages: ee\n* OPUS readme: en-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: 38.2, chr-F: 0.591\ntestset: URL, BLEU: 6.0, chr-F: 0.347" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ee\n\n\n* source languages: en\n* target languages: ee\n* OPUS readme: en-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: 38.2, chr-F: 0.591\ntestset: URL, BLEU: 6.0, chr-F: 0.347" ]	[ 51, 129 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ee\n\n\n* source languages: en\n* target languages: ee\n* OPUS readme: en-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: 38.2, chr-F: 0.591\ntestset: URL, BLEU: 6.0, chr-F: 0.347" ]
translation	transformers	### opus-mt-en-efi * source languages: en * target languages: efi * OPUS readme: [en-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-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/en-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.efi \| 38.0 \| 0.568 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-efi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-efi * source languages: en * target languages: efi * OPUS readme: en-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: 38.0, chr-F: 0.568	[ "### opus-mt-en-efi\n\n\n* source languages: en\n* target languages: efi\n* OPUS readme: en-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: 38.0, chr-F: 0.568" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-efi\n\n\n* source languages: en\n* target languages: efi\n* OPUS readme: en-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: 38.0, chr-F: 0.568" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-efi\n\n\n* source languages: en\n* target languages: efi\n* OPUS readme: en-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: 38.0, chr-F: 0.568" ]
translation	transformers	### opus-mt-en-el * source languages: en * target languages: el * OPUS readme: [en-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.el \| 56.4 \| 0.745 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-el	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-el * source languages: en * target languages: el * OPUS readme: en-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: 56.4, chr-F: 0.745	[ "### opus-mt-en-el\n\n\n* source languages: en\n* target languages: el\n* OPUS readme: en-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: 56.4, chr-F: 0.745" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-el\n\n\n* source languages: en\n* target languages: el\n* OPUS readme: en-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: 56.4, chr-F: 0.745" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-el\n\n\n* source languages: en\n* target languages: el\n* OPUS readme: en-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: 56.4, chr-F: 0.745" ]
translation	transformers	### opus-mt-en-eo * source languages: en * target languages: eo * OPUS readme: [en-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-eo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.eo \| 49.5 \| 0.682 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-eo * source languages: en * target languages: eo * OPUS readme: en-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: 49.5, chr-F: 0.682	[ "### opus-mt-en-eo\n\n\n* source languages: en\n* target languages: eo\n* OPUS readme: en-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: 49.5, chr-F: 0.682" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-eo\n\n\n* source languages: en\n* target languages: eo\n* OPUS readme: en-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: 49.5, chr-F: 0.682" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-eo\n\n\n* source languages: en\n* target languages: eo\n* OPUS readme: en-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: 49.5, chr-F: 0.682" ]
translation	transformers	### eng-spa * source group: English * target group: Spanish * OPUS readme: [eng-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md) * model: transformer * source language(s): eng * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip) * test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt) * test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-engspa.eng.spa \| 31.0 \| 0.583 \| \| news-test2008-engspa.eng.spa \| 29.7 \| 0.564 \| \| newstest2009-engspa.eng.spa \| 30.2 \| 0.578 \| \| newstest2010-engspa.eng.spa \| 36.9 \| 0.620 \| \| newstest2011-engspa.eng.spa \| 38.2 \| 0.619 \| \| newstest2012-engspa.eng.spa \| 39.0 \| 0.625 \| \| newstest2013-engspa.eng.spa \| 35.0 \| 0.598 \| \| Tatoeba-test.eng.spa \| 54.9 \| 0.721 \| ### System Info: - hf_name: eng-spa - source_languages: eng - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'es'] - src_constituents: {'eng'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt - src_alpha3: eng - tgt_alpha3: spa - short_pair: en-es - chrF2_score: 0.721 - bleu: 54.9 - brevity_penalty: 0.978 - ref_len: 77311.0 - src_name: English - tgt_name: Spanish - train_date: 2020-08-18 00:00:00 - src_alpha2: en - tgt_alpha2: es - prefer_old: False - long_pair: eng-spa - helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82 - transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9 - port_machine: brutasse - port_time: 2020-08-24-18:20	{"language": ["en", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-es	null	[ "transformers", "pytorch", "tf", "jax", "marian", "text2text-generation", "translation", "en", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "es" ]	TAGS #transformers #pytorch #tf #jax #marian #text2text-generation #translation #en #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-spa * source group: English * target group: Spanish * OPUS readme: eng-spa * model: transformer * source language(s): eng * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.0, chr-F: 0.583 testset: URL, BLEU: 29.7, chr-F: 0.564 testset: URL, BLEU: 30.2, chr-F: 0.578 testset: URL, BLEU: 36.9, chr-F: 0.620 testset: URL, BLEU: 38.2, chr-F: 0.619 testset: URL, BLEU: 39.0, chr-F: 0.625 testset: URL, BLEU: 35.0, chr-F: 0.598 testset: URL, BLEU: 54.9, chr-F: 0.721 ### System Info: * hf\_name: eng-spa * source\_languages: eng * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'es'] * src\_constituents: {'eng'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: spa * short\_pair: en-es * chrF2\_score: 0.721 * bleu: 54.9 * brevity\_penalty: 0.978 * ref\_len: 77311.0 * src\_name: English * tgt\_name: Spanish * train\_date: 2020-08-18 00:00:00 * src\_alpha2: en * tgt\_alpha2: es * prefer\_old: False * long\_pair: eng-spa * helsinki\_git\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82 * transformers\_git\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9 * port\_machine: brutasse * port\_time: 2020-08-24-18:20	[ "### eng-spa\n\n\n* source group: English\n* target group: Spanish\n* OPUS readme: eng-spa\n* model: transformer\n* source language(s): eng\n* target language(s): spa\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: 31.0, chr-F: 0.583\ntestset: URL, BLEU: 29.7, chr-F: 0.564\ntestset: URL, BLEU: 30.2, chr-F: 0.578\ntestset: URL, BLEU: 36.9, chr-F: 0.620\ntestset: URL, BLEU: 38.2, chr-F: 0.619\ntestset: URL, BLEU: 39.0, chr-F: 0.625\ntestset: URL, BLEU: 35.0, chr-F: 0.598\ntestset: URL, BLEU: 54.9, chr-F: 0.721", "### System Info:\n\n\n* hf\\_name: eng-spa\n* source\\_languages: eng\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'es']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: spa\n* short\\_pair: en-es\n* chrF2\\_score: 0.721\n* bleu: 54.9\n* brevity\\_penalty: 0.978\n* ref\\_len: 77311.0\n* src\\_name: English\n* tgt\\_name: Spanish\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: en\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eng-spa\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #en #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-spa\n\n\n* source group: English\n* target group: Spanish\n* OPUS readme: eng-spa\n* model: transformer\n* source language(s): eng\n* target language(s): spa\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: 31.0, chr-F: 0.583\ntestset: URL, BLEU: 29.7, chr-F: 0.564\ntestset: URL, BLEU: 30.2, chr-F: 0.578\ntestset: URL, BLEU: 36.9, chr-F: 0.620\ntestset: URL, BLEU: 38.2, chr-F: 0.619\ntestset: URL, BLEU: 39.0, chr-F: 0.625\ntestset: URL, BLEU: 35.0, chr-F: 0.598\ntestset: URL, BLEU: 54.9, chr-F: 0.721", "### System Info:\n\n\n* hf\\_name: eng-spa\n* source\\_languages: eng\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'es']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: spa\n* short\\_pair: en-es\n* chrF2\\_score: 0.721\n* bleu: 54.9\n* brevity\\_penalty: 0.978\n* ref\\_len: 77311.0\n* src\\_name: English\n* tgt\\_name: Spanish\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: en\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eng-spa\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]	[ 53, 286, 402 ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #en #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-spa\n\n\n* source group: English\n* target group: Spanish\n* OPUS readme: eng-spa\n* model: transformer\n* source language(s): eng\n* target language(s): spa\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: 31.0, chr-F: 0.583\ntestset: URL, BLEU: 29.7, chr-F: 0.564\ntestset: URL, BLEU: 30.2, chr-F: 0.578\ntestset: URL, BLEU: 36.9, chr-F: 0.620\ntestset: URL, BLEU: 38.2, chr-F: 0.619\ntestset: URL, BLEU: 39.0, chr-F: 0.625\ntestset: URL, BLEU: 35.0, chr-F: 0.598\ntestset: URL, BLEU: 54.9, chr-F: 0.721### System Info:\n\n\n* hf\\_name: eng-spa\n* source\\_languages: eng\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'es']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: spa\n* short\\_pair: en-es\n* chrF2\\_score: 0.721\n* bleu: 54.9\n* brevity\\_penalty: 0.978\n* ref\\_len: 77311.0\n* src\\_name: English\n* tgt\\_name: Spanish\n* train\\_date: 2020-08-18 00:00:00\n* src\\_alpha2: en\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: eng-spa\n* helsinki\\_git\\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82\n* transformers\\_git\\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9\n* port\\_machine: brutasse\n* port\\_time: 2020-08-24-18:20" ]
translation	transformers	### opus-mt-en-et * source languages: en * target languages: et * OPUS readme: [en-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2018-enet.en.et \| 21.8 \| 0.540 \| \| newstest2018-enet.en.et \| 23.3 \| 0.556 \| \| Tatoeba.en.et \| 54.0 \| 0.717 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-et	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "et", "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 #en #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-et * source languages: en * target languages: et * OPUS readme: en-et * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.8, chr-F: 0.540 testset: URL, BLEU: 23.3, chr-F: 0.556 testset: URL, BLEU: 54.0, chr-F: 0.717	[ "### opus-mt-en-et\n\n\n* source languages: en\n* target languages: et\n* OPUS readme: en-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.540\ntestset: URL, BLEU: 23.3, chr-F: 0.556\ntestset: URL, BLEU: 54.0, chr-F: 0.717" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-et\n\n\n* source languages: en\n* target languages: et\n* OPUS readme: en-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.540\ntestset: URL, BLEU: 23.3, chr-F: 0.556\ntestset: URL, BLEU: 54.0, chr-F: 0.717" ]	[ 51, 151 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #et #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-et\n\n\n* source languages: en\n* target languages: et\n* OPUS readme: en-et\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.540\ntestset: URL, BLEU: 23.3, chr-F: 0.556\ntestset: URL, BLEU: 54.0, chr-F: 0.717" ]
translation	transformers	### eng-eus * source group: English * target group: Basque * OPUS readme: [eng-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md) * model: transformer-align * source language(s): eng * target language(s): eus * 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/eng-eus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.eus \| 31.8 \| 0.590 \| ### System Info: - hf_name: eng-eus - source_languages: eng - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'eu'] - src_constituents: {'eng'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt - src_alpha3: eng - tgt_alpha3: eus - short_pair: en-eu - chrF2_score: 0.59 - bleu: 31.8 - brevity_penalty: 0.9440000000000001 - ref_len: 7080.0 - src_name: English - tgt_name: Basque - train_date: 2020-06-17 - src_alpha2: en - tgt_alpha2: eu - prefer_old: False - long_pair: eng-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "eu"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-eu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "eu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-eus * source group: English * target group: Basque * OPUS readme: eng-eus * model: transformer-align * source language(s): eng * target language(s): eus * 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: 31.8, chr-F: 0.590 ### System Info: * hf\_name: eng-eus * source\_languages: eng * target\_languages: eus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'eu'] * src\_constituents: {'eng'} * tgt\_constituents: {'eus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: eus * short\_pair: en-eu * chrF2\_score: 0.59 * bleu: 31.8 * brevity\_penalty: 0.9440000000000001 * ref\_len: 7080.0 * src\_name: English * tgt\_name: Basque * train\_date: 2020-06-17 * src\_alpha2: en * tgt\_alpha2: eu * prefer\_old: False * long\_pair: eng-eus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-eus\n\n\n* source group: English\n* target group: Basque\n* OPUS readme: eng-eus\n* model: transformer-align\n* source language(s): eng\n* target language(s): eus\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: 31.8, chr-F: 0.590", "### System Info:\n\n\n* hf\\_name: eng-eus\n* source\\_languages: eng\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'eu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\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: eng\n* tgt\\_alpha3: eus\n* short\\_pair: en-eu\n* chrF2\\_score: 0.59\n* bleu: 31.8\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: eng-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-eus\n\n\n* source group: English\n* target group: Basque\n* OPUS readme: eng-eus\n* model: transformer-align\n* source language(s): eng\n* target language(s): eus\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: 31.8, chr-F: 0.590", "### System Info:\n\n\n* hf\\_name: eng-eus\n* source\\_languages: eng\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'eu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\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: eng\n* tgt\\_alpha3: eus\n* short\\_pair: en-eu\n* chrF2\\_score: 0.59\n* bleu: 31.8\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: eng-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 133, 401 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #eu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-eus\n\n\n* source group: English\n* target group: Basque\n* OPUS readme: eng-eus\n* model: transformer-align\n* source language(s): eng\n* target language(s): eus\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: 31.8, chr-F: 0.590### System Info:\n\n\n* hf\\_name: eng-eus\n* source\\_languages: eng\n* target\\_languages: eus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'eu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\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: eng\n* tgt\\_alpha3: eus\n* short\\_pair: en-eu\n* chrF2\\_score: 0.59\n* bleu: 31.8\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: eu\n* prefer\\_old: False\n* long\\_pair: eng-eus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-euq * source group: English * target group: Basque (family) * OPUS readme: [eng-euq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md) * model: transformer * source language(s): eng * target language(s): eus * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.eus \| 27.9 \| 0.555 \| \| Tatoeba-test.eng-eus.eng.eus \| 27.9 \| 0.555 \| ### System Info: - hf_name: eng-euq - source_languages: eng - target_languages: euq - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'euq'] - src_constituents: {'eng'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt - src_alpha3: eng - tgt_alpha3: euq - short_pair: en-euq - chrF2_score: 0.555 - bleu: 27.9 - brevity_penalty: 0.917 - ref_len: 7080.0 - src_name: English - tgt_name: Basque (family) - train_date: 2020-07-26 - src_alpha2: en - tgt_alpha2: euq - prefer_old: False - long_pair: eng-euq - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "euq"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-euq	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "euq", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "euq" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #euq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-euq * source group: English * target group: Basque (family) * OPUS readme: eng-euq * model: transformer * source language(s): eng * target language(s): eus * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.9, chr-F: 0.555 testset: URL, BLEU: 27.9, chr-F: 0.555 ### System Info: * hf\_name: eng-euq * source\_languages: eng * target\_languages: euq * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'euq'] * src\_constituents: {'eng'} * tgt\_constituents: {'eus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: euq * short\_pair: en-euq * chrF2\_score: 0.555 * bleu: 27.9 * brevity\_penalty: 0.917 * ref\_len: 7080.0 * src\_name: English * tgt\_name: Basque (family) * train\_date: 2020-07-26 * src\_alpha2: en * tgt\_alpha2: euq * prefer\_old: False * long\_pair: eng-euq * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-euq\n\n\n* source group: English\n* target group: Basque (family)\n* OPUS readme: eng-euq\n* model: transformer\n* source language(s): eng\n* target language(s): eus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.555\ntestset: URL, BLEU: 27.9, chr-F: 0.555", "### System Info:\n\n\n* hf\\_name: eng-euq\n* source\\_languages: eng\n* target\\_languages: euq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'euq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: euq\n* short\\_pair: en-euq\n* chrF2\\_score: 0.555\n* bleu: 27.9\n* brevity\\_penalty: 0.917\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque (family)\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: euq\n* prefer\\_old: False\n* long\\_pair: eng-euq\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 #en #euq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-euq\n\n\n* source group: English\n* target group: Basque (family)\n* OPUS readme: eng-euq\n* model: transformer\n* source language(s): eng\n* target language(s): eus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.555\ntestset: URL, BLEU: 27.9, chr-F: 0.555", "### System Info:\n\n\n* hf\\_name: eng-euq\n* source\\_languages: eng\n* target\\_languages: euq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'euq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: euq\n* short\\_pair: en-euq\n* chrF2\\_score: 0.555\n* bleu: 27.9\n* brevity\\_penalty: 0.917\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque (family)\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: euq\n* prefer\\_old: False\n* long\\_pair: eng-euq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 154, 401 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #euq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-euq\n\n\n* source group: English\n* target group: Basque (family)\n* OPUS readme: eng-euq\n* model: transformer\n* source language(s): eng\n* target language(s): eus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.555\ntestset: URL, BLEU: 27.9, chr-F: 0.555### System Info:\n\n\n* hf\\_name: eng-euq\n* source\\_languages: eng\n* target\\_languages: euq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'euq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'eus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: euq\n* short\\_pair: en-euq\n* chrF2\\_score: 0.555\n* bleu: 27.9\n* brevity\\_penalty: 0.917\n* ref\\_len: 7080.0\n* src\\_name: English\n* tgt\\_name: Basque (family)\n* train\\_date: 2020-07-26\n* src\\_alpha2: en\n* tgt\\_alpha2: euq\n* prefer\\_old: False\n* long\\_pair: eng-euq\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-en-fi * source languages: en * target languages: fi * OPUS readme: [en-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fi/README.md) * dataset: opus+bt-news * model: transformer * pre-processing: normalization + SentencePiece * download original weights: [opus+bt-news-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.zip) * test set translations: [opus+bt-news-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.test.txt) * test set scores: [opus+bt-news-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2019-enfi.en.fi \| 25.7 \| 0.578 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-fi * source languages: en * target languages: fi * OPUS readme: en-fi * dataset: opus+bt-news * model: transformer * pre-processing: normalization + SentencePiece * download original weights: opus+URL * test set translations: opus+URL * test set scores: opus+URL Benchmarks ---------- testset: URL, BLEU: 25.7, chr-F: 0.578	[ "### opus-mt-en-fi\n\n\n* source languages: en\n* target languages: fi\n* OPUS readme: en-fi\n* dataset: opus+bt-news\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.578" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-fi\n\n\n* source languages: en\n* target languages: fi\n* OPUS readme: en-fi\n* dataset: opus+bt-news\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.578" ]	[ 51, 114 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-fi\n\n\n* source languages: en\n* target languages: fi\n* OPUS readme: en-fi\n* dataset: opus+bt-news\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.7, chr-F: 0.578" ]
translation	transformers	### eng-fiu * source group: English * target group: Finno-Ugrian languages * OPUS readme: [eng-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md) * model: transformer * source language(s): eng * target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2015-enfi-engfin.eng.fin \| 18.7 \| 0.522 \| \| newsdev2018-enet-engest.eng.est \| 19.4 \| 0.521 \| \| newssyscomb2009-enghun.eng.hun \| 15.5 \| 0.472 \| \| newstest2009-enghun.eng.hun \| 15.4 \| 0.468 \| \| newstest2015-enfi-engfin.eng.fin \| 19.9 \| 0.532 \| \| newstest2016-enfi-engfin.eng.fin \| 21.1 \| 0.544 \| \| newstest2017-enfi-engfin.eng.fin \| 23.8 \| 0.567 \| \| newstest2018-enet-engest.eng.est \| 20.4 \| 0.532 \| \| newstest2018-enfi-engfin.eng.fin \| 15.6 \| 0.498 \| \| newstest2019-enfi-engfin.eng.fin \| 20.0 \| 0.520 \| \| newstestB2016-enfi-engfin.eng.fin \| 17.0 \| 0.512 \| \| newstestB2017-enfi-engfin.eng.fin \| 19.7 \| 0.531 \| \| Tatoeba-test.eng-chm.eng.chm \| 0.9 \| 0.115 \| \| Tatoeba-test.eng-est.eng.est \| 49.8 \| 0.689 \| \| Tatoeba-test.eng-fin.eng.fin \| 34.7 \| 0.597 \| \| Tatoeba-test.eng-fkv.eng.fkv \| 1.3 \| 0.187 \| \| Tatoeba-test.eng-hun.eng.hun \| 35.2 \| 0.589 \| \| Tatoeba-test.eng-izh.eng.izh \| 6.0 \| 0.163 \| \| Tatoeba-test.eng-kom.eng.kom \| 3.4 \| 0.012 \| \| Tatoeba-test.eng-krl.eng.krl \| 6.4 \| 0.202 \| \| Tatoeba-test.eng-liv.eng.liv \| 1.6 \| 0.102 \| \| Tatoeba-test.eng-mdf.eng.mdf \| 3.7 \| 0.008 \| \| Tatoeba-test.eng.multi \| 35.4 \| 0.590 \| \| Tatoeba-test.eng-myv.eng.myv \| 1.4 \| 0.014 \| \| Tatoeba-test.eng-sma.eng.sma \| 2.6 \| 0.097 \| \| Tatoeba-test.eng-sme.eng.sme \| 7.3 \| 0.221 \| \| Tatoeba-test.eng-udm.eng.udm \| 1.4 \| 0.079 \| ### System Info: - hf_name: eng-fiu - source_languages: eng - target_languages: fiu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu'] - src_constituents: {'eng'} - tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: fiu - short_pair: en-fiu - chrF2_score: 0.59 - bleu: 35.4 - brevity_penalty: 0.9440000000000001 - ref_len: 59311.0 - src_name: English - tgt_name: Finno-Ugrian languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: fiu - prefer_old: False - long_pair: eng-fiu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "se", "fi", "hu", "et", "fiu"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-fiu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "se", "fi", "hu", "et", "fiu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "se", "fi", "hu", "et", "fiu" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-fiu * source group: English * target group: Finno-Ugrian languages * OPUS readme: eng-fiu * model: transformer * source language(s): eng * target language(s): est fin fkv\_Latn hun izh kpv krl liv\_Latn mdf mhr myv sma sme udm vro * 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: 18.7, chr-F: 0.522 testset: URL, BLEU: 19.4, chr-F: 0.521 testset: URL, BLEU: 15.5, chr-F: 0.472 testset: URL, BLEU: 15.4, chr-F: 0.468 testset: URL, BLEU: 19.9, chr-F: 0.532 testset: URL, BLEU: 21.1, chr-F: 0.544 testset: URL, BLEU: 23.8, chr-F: 0.567 testset: URL, BLEU: 20.4, chr-F: 0.532 testset: URL, BLEU: 15.6, chr-F: 0.498 testset: URL, BLEU: 20.0, chr-F: 0.520 testset: URL, BLEU: 17.0, chr-F: 0.512 testset: URL, BLEU: 19.7, chr-F: 0.531 testset: URL, BLEU: 0.9, chr-F: 0.115 testset: URL, BLEU: 49.8, chr-F: 0.689 testset: URL, BLEU: 34.7, chr-F: 0.597 testset: URL, BLEU: 1.3, chr-F: 0.187 testset: URL, BLEU: 35.2, chr-F: 0.589 testset: URL, BLEU: 6.0, chr-F: 0.163 testset: URL, BLEU: 3.4, chr-F: 0.012 testset: URL, BLEU: 6.4, chr-F: 0.202 testset: URL, BLEU: 1.6, chr-F: 0.102 testset: URL, BLEU: 3.7, chr-F: 0.008 testset: URL, BLEU: 35.4, chr-F: 0.590 testset: URL, BLEU: 1.4, chr-F: 0.014 testset: URL, BLEU: 2.6, chr-F: 0.097 testset: URL, BLEU: 7.3, chr-F: 0.221 testset: URL, BLEU: 1.4, chr-F: 0.079 ### System Info: * hf\_name: eng-fiu * source\_languages: eng * target\_languages: fiu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu'] * src\_constituents: {'eng'} * tgt\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: fiu * short\_pair: en-fiu * chrF2\_score: 0.59 * bleu: 35.4 * brevity\_penalty: 0.9440000000000001 * ref\_len: 59311.0 * src\_name: English * tgt\_name: Finno-Ugrian languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: fiu * prefer\_old: False * long\_pair: eng-fiu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-fiu\n\n\n* source group: English\n* target group: Finno-Ugrian languages\n* OPUS readme: eng-fiu\n* model: transformer\n* source language(s): eng\n* target language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 18.7, chr-F: 0.522\ntestset: URL, BLEU: 19.4, chr-F: 0.521\ntestset: URL, BLEU: 15.5, chr-F: 0.472\ntestset: URL, BLEU: 15.4, chr-F: 0.468\ntestset: URL, BLEU: 19.9, chr-F: 0.532\ntestset: URL, BLEU: 21.1, chr-F: 0.544\ntestset: URL, BLEU: 23.8, chr-F: 0.567\ntestset: URL, BLEU: 20.4, chr-F: 0.532\ntestset: URL, BLEU: 15.6, chr-F: 0.498\ntestset: URL, BLEU: 20.0, chr-F: 0.520\ntestset: URL, BLEU: 17.0, chr-F: 0.512\ntestset: URL, BLEU: 19.7, chr-F: 0.531\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 49.8, chr-F: 0.689\ntestset: URL, BLEU: 34.7, chr-F: 0.597\ntestset: URL, BLEU: 1.3, chr-F: 0.187\ntestset: URL, BLEU: 35.2, chr-F: 0.589\ntestset: URL, BLEU: 6.0, chr-F: 0.163\ntestset: URL, BLEU: 3.4, chr-F: 0.012\ntestset: URL, BLEU: 6.4, chr-F: 0.202\ntestset: URL, BLEU: 1.6, chr-F: 0.102\ntestset: URL, BLEU: 3.7, chr-F: 0.008\ntestset: URL, BLEU: 35.4, chr-F: 0.590\ntestset: URL, BLEU: 1.4, chr-F: 0.014\ntestset: URL, BLEU: 2.6, chr-F: 0.097\ntestset: URL, BLEU: 7.3, chr-F: 0.221\ntestset: URL, BLEU: 1.4, chr-F: 0.079", "### System Info:\n\n\n* hf\\_name: eng-fiu\n* source\\_languages: eng\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: fiu\n* short\\_pair: en-fiu\n* chrF2\\_score: 0.59\n* bleu: 35.4\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 59311.0\n* src\\_name: English\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: eng-fiu\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 #en #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-fiu\n\n\n* source group: English\n* target group: Finno-Ugrian languages\n* OPUS readme: eng-fiu\n* model: transformer\n* source language(s): eng\n* target language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 18.7, chr-F: 0.522\ntestset: URL, BLEU: 19.4, chr-F: 0.521\ntestset: URL, BLEU: 15.5, chr-F: 0.472\ntestset: URL, BLEU: 15.4, chr-F: 0.468\ntestset: URL, BLEU: 19.9, chr-F: 0.532\ntestset: URL, BLEU: 21.1, chr-F: 0.544\ntestset: URL, BLEU: 23.8, chr-F: 0.567\ntestset: URL, BLEU: 20.4, chr-F: 0.532\ntestset: URL, BLEU: 15.6, chr-F: 0.498\ntestset: URL, BLEU: 20.0, chr-F: 0.520\ntestset: URL, BLEU: 17.0, chr-F: 0.512\ntestset: URL, BLEU: 19.7, chr-F: 0.531\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 49.8, chr-F: 0.689\ntestset: URL, BLEU: 34.7, chr-F: 0.597\ntestset: URL, BLEU: 1.3, chr-F: 0.187\ntestset: URL, BLEU: 35.2, chr-F: 0.589\ntestset: URL, BLEU: 6.0, chr-F: 0.163\ntestset: URL, BLEU: 3.4, chr-F: 0.012\ntestset: URL, BLEU: 6.4, chr-F: 0.202\ntestset: URL, BLEU: 1.6, chr-F: 0.102\ntestset: URL, BLEU: 3.7, chr-F: 0.008\ntestset: URL, BLEU: 35.4, chr-F: 0.590\ntestset: URL, BLEU: 1.4, chr-F: 0.014\ntestset: URL, BLEU: 2.6, chr-F: 0.097\ntestset: URL, BLEU: 7.3, chr-F: 0.221\ntestset: URL, BLEU: 1.4, chr-F: 0.079", "### System Info:\n\n\n* hf\\_name: eng-fiu\n* source\\_languages: eng\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: fiu\n* short\\_pair: en-fiu\n* chrF2\\_score: 0.59\n* bleu: 35.4\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 59311.0\n* src\\_name: English\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: eng-fiu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 60, 787, 510 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-fiu\n\n\n* source group: English\n* target group: Finno-Ugrian languages\n* OPUS readme: eng-fiu\n* model: transformer\n* source language(s): eng\n* target language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\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: 18.7, chr-F: 0.522\ntestset: URL, BLEU: 19.4, chr-F: 0.521\ntestset: URL, BLEU: 15.5, chr-F: 0.472\ntestset: URL, BLEU: 15.4, chr-F: 0.468\ntestset: URL, BLEU: 19.9, chr-F: 0.532\ntestset: URL, BLEU: 21.1, chr-F: 0.544\ntestset: URL, BLEU: 23.8, chr-F: 0.567\ntestset: URL, BLEU: 20.4, chr-F: 0.532\ntestset: URL, BLEU: 15.6, chr-F: 0.498\ntestset: URL, BLEU: 20.0, chr-F: 0.520\ntestset: URL, BLEU: 17.0, chr-F: 0.512\ntestset: URL, BLEU: 19.7, chr-F: 0.531\ntestset: URL, BLEU: 0.9, chr-F: 0.115\ntestset: URL, BLEU: 49.8, chr-F: 0.689\ntestset: URL, BLEU: 34.7, chr-F: 0.597\ntestset: URL, BLEU: 1.3, chr-F: 0.187\ntestset: URL, BLEU: 35.2, chr-F: 0.589\ntestset: URL, BLEU: 6.0, chr-F: 0.163\ntestset: URL, BLEU: 3.4, chr-F: 0.012\ntestset: URL, BLEU: 6.4, chr-F: 0.202\ntestset: URL, BLEU: 1.6, chr-F: 0.102\ntestset: URL, BLEU: 3.7, chr-F: 0.008\ntestset: URL, BLEU: 35.4, chr-F: 0.590\ntestset: URL, BLEU: 1.4, chr-F: 0.014\ntestset: URL, BLEU: 2.6, chr-F: 0.097\ntestset: URL, BLEU: 7.3, chr-F: 0.221\ntestset: URL, BLEU: 1.4, chr-F: 0.079### System Info:\n\n\n* hf\\_name: eng-fiu\n* source\\_languages: eng\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: fiu\n* short\\_pair: en-fiu\n* chrF2\\_score: 0.59\n* bleu: 35.4\n* brevity\\_penalty: 0.9440000000000001\n* ref\\_len: 59311.0\n* src\\_name: English\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: eng-fiu\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-en-fj * source languages: en * target languages: fj * OPUS readme: [en-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.fj \| 34.0 \| 0.561 \| \| Tatoeba.en.fj \| 62.5 \| 0.781 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-fj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-fj * source languages: en * target languages: fj * OPUS readme: en-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: 34.0, chr-F: 0.561 testset: URL, BLEU: 62.5, chr-F: 0.781	[ "### opus-mt-en-fj\n\n\n* source languages: en\n* target languages: fj\n* OPUS readme: en-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: 34.0, chr-F: 0.561\ntestset: URL, BLEU: 62.5, chr-F: 0.781" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-fj\n\n\n* source languages: en\n* target languages: fj\n* OPUS readme: en-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: 34.0, chr-F: 0.561\ntestset: URL, BLEU: 62.5, chr-F: 0.781" ]	[ 52, 132 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-fj\n\n\n* source languages: en\n* target languages: fj\n* OPUS readme: en-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: 34.0, chr-F: 0.561\ntestset: URL, BLEU: 62.5, chr-F: 0.781" ]
translation	transformers	### opus-mt-en-fr * source languages: en * target languages: fr * OPUS readme: [en-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr/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/en-fr/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdiscussdev2015-enfr.en.fr \| 33.8 \| 0.602 \| \| newsdiscusstest2015-enfr.en.fr \| 40.0 \| 0.643 \| \| newssyscomb2009.en.fr \| 29.8 \| 0.584 \| \| news-test2008.en.fr \| 27.5 \| 0.554 \| \| newstest2009.en.fr \| 29.4 \| 0.577 \| \| newstest2010.en.fr \| 32.7 \| 0.596 \| \| newstest2011.en.fr \| 34.3 \| 0.611 \| \| newstest2012.en.fr \| 31.8 \| 0.592 \| \| newstest2013.en.fr \| 33.2 \| 0.589 \| \| Tatoeba.en.fr \| 50.5 \| 0.672 \|	{"license": "apache-2.0", "pipeline_tag": "translation"}	Helsinki-NLP/opus-mt-en-fr	null	[ "transformers", "pytorch", "tf", "jax", "marian", "text2text-generation", "translation", "en", "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 #jax #marian #text2text-generation #translation #en #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-fr * source languages: en * target languages: fr * OPUS readme: en-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 33.8, chr-F: 0.602 testset: URL, BLEU: 40.0, chr-F: 0.643 testset: URL, BLEU: 29.8, chr-F: 0.584 testset: URL, BLEU: 27.5, chr-F: 0.554 testset: URL, BLEU: 29.4, chr-F: 0.577 testset: URL, BLEU: 32.7, chr-F: 0.596 testset: URL, BLEU: 34.3, chr-F: 0.611 testset: URL, BLEU: 31.8, chr-F: 0.592 testset: URL, BLEU: 33.2, chr-F: 0.589 testset: URL, BLEU: 50.5, chr-F: 0.672	[ "### opus-mt-en-fr\n\n\n* source languages: en\n* target languages: fr\n* OPUS readme: en-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.8, chr-F: 0.602\ntestset: URL, BLEU: 40.0, chr-F: 0.643\ntestset: URL, BLEU: 29.8, chr-F: 0.584\ntestset: URL, BLEU: 27.5, chr-F: 0.554\ntestset: URL, BLEU: 29.4, chr-F: 0.577\ntestset: URL, BLEU: 32.7, chr-F: 0.596\ntestset: URL, BLEU: 34.3, chr-F: 0.611\ntestset: URL, BLEU: 31.8, chr-F: 0.592\ntestset: URL, BLEU: 33.2, chr-F: 0.589\ntestset: URL, BLEU: 50.5, chr-F: 0.672" ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #en #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-fr\n\n\n* source languages: en\n* target languages: fr\n* OPUS readme: en-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.8, chr-F: 0.602\ntestset: URL, BLEU: 40.0, chr-F: 0.643\ntestset: URL, BLEU: 29.8, chr-F: 0.584\ntestset: URL, BLEU: 27.5, chr-F: 0.554\ntestset: URL, BLEU: 29.4, chr-F: 0.577\ntestset: URL, BLEU: 32.7, chr-F: 0.596\ntestset: URL, BLEU: 34.3, chr-F: 0.611\ntestset: URL, BLEU: 31.8, chr-F: 0.592\ntestset: URL, BLEU: 33.2, chr-F: 0.589\ntestset: URL, BLEU: 50.5, chr-F: 0.672" ]	[ 53, 313 ]	[ "TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #en #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-fr\n\n\n* source languages: en\n* target languages: fr\n* OPUS readme: en-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.8, chr-F: 0.602\ntestset: URL, BLEU: 40.0, chr-F: 0.643\ntestset: URL, BLEU: 29.8, chr-F: 0.584\ntestset: URL, BLEU: 27.5, chr-F: 0.554\ntestset: URL, BLEU: 29.4, chr-F: 0.577\ntestset: URL, BLEU: 32.7, chr-F: 0.596\ntestset: URL, BLEU: 34.3, chr-F: 0.611\ntestset: URL, BLEU: 31.8, chr-F: 0.592\ntestset: URL, BLEU: 33.2, chr-F: 0.589\ntestset: URL, BLEU: 50.5, chr-F: 0.672" ]
translation	transformers	### eng-gle * source group: English * target group: Irish * OPUS readme: [eng-gle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md) * model: transformer-align * source language(s): eng * target language(s): gle * 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/eng-gle/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.gle \| 37.5 \| 0.593 \| ### System Info: - hf_name: eng-gle - source_languages: eng - target_languages: gle - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ga'] - src_constituents: {'eng'} - tgt_constituents: {'gle'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt - src_alpha3: eng - tgt_alpha3: gle - short_pair: en-ga - chrF2_score: 0.593 - bleu: 37.5 - brevity_penalty: 1.0 - ref_len: 12200.0 - src_name: English - tgt_name: Irish - train_date: 2020-06-17 - src_alpha2: en - tgt_alpha2: ga - prefer_old: False - long_pair: eng-gle - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "ga"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ga	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "ga", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "ga" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #ga #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-gle * source group: English * target group: Irish * OPUS readme: eng-gle * model: transformer-align * source language(s): eng * target language(s): gle * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.5, chr-F: 0.593 ### System Info: * hf\_name: eng-gle * source\_languages: eng * target\_languages: gle * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'ga'] * src\_constituents: {'eng'} * tgt\_constituents: {'gle'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: gle * short\_pair: en-ga * chrF2\_score: 0.593 * bleu: 37.5 * brevity\_penalty: 1.0 * ref\_len: 12200.0 * src\_name: English * tgt\_name: Irish * train\_date: 2020-06-17 * src\_alpha2: en * tgt\_alpha2: ga * prefer\_old: False * long\_pair: eng-gle * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-gle\n\n\n* source group: English\n* target group: Irish\n* OPUS readme: eng-gle\n* model: transformer-align\n* source language(s): eng\n* target language(s): gle\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.593", "### System Info:\n\n\n* hf\\_name: eng-gle\n* source\\_languages: eng\n* target\\_languages: gle\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ga']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gle'}\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: eng\n* tgt\\_alpha3: gle\n* short\\_pair: en-ga\n* chrF2\\_score: 0.593\n* bleu: 37.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 12200.0\n* src\\_name: English\n* tgt\\_name: Irish\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: ga\n* prefer\\_old: False\n* long\\_pair: eng-gle\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 #en #ga #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-gle\n\n\n* source group: English\n* target group: Irish\n* OPUS readme: eng-gle\n* model: transformer-align\n* source language(s): eng\n* target language(s): gle\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.593", "### System Info:\n\n\n* hf\\_name: eng-gle\n* source\\_languages: eng\n* target\\_languages: gle\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ga']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gle'}\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: eng\n* tgt\\_alpha3: gle\n* short\\_pair: en-ga\n* chrF2\\_score: 0.593\n* bleu: 37.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 12200.0\n* src\\_name: English\n* tgt\\_name: Irish\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: ga\n* prefer\\_old: False\n* long\\_pair: eng-gle\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 #en #ga #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-gle\n\n\n* source group: English\n* target group: Irish\n* OPUS readme: eng-gle\n* model: transformer-align\n* source language(s): eng\n* target language(s): gle\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.593### System Info:\n\n\n* hf\\_name: eng-gle\n* source\\_languages: eng\n* target\\_languages: gle\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ga']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'gle'}\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: eng\n* tgt\\_alpha3: gle\n* short\\_pair: en-ga\n* chrF2\\_score: 0.593\n* bleu: 37.5\n* brevity\\_penalty: 1.0\n* ref\\_len: 12200.0\n* src\\_name: English\n* tgt\\_name: Irish\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: ga\n* prefer\\_old: False\n* long\\_pair: eng-gle\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-en-gaa * source languages: en * target languages: gaa * OPUS readme: [en-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.gaa \| 39.9 \| 0.593 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gaa	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-gaa * source languages: en * target languages: gaa * OPUS readme: en-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: 39.9, chr-F: 0.593	[ "### opus-mt-en-gaa\n\n\n* source languages: en\n* target languages: gaa\n* OPUS readme: en-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: 39.9, chr-F: 0.593" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-gaa\n\n\n* source languages: en\n* target languages: gaa\n* OPUS readme: en-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: 39.9, chr-F: 0.593" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-gaa\n\n\n* source languages: en\n* target languages: gaa\n* OPUS readme: en-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: 39.9, chr-F: 0.593" ]
translation	transformers	### eng-gem * source group: English * target group: Germanic languages * OPUS readme: [eng-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md) * model: transformer * source language(s): eng * target 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 * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-engdeu.eng.deu \| 20.9 \| 0.521 \| \| news-test2008-engdeu.eng.deu \| 21.1 \| 0.511 \| \| newstest2009-engdeu.eng.deu \| 20.5 \| 0.516 \| \| newstest2010-engdeu.eng.deu \| 22.5 \| 0.526 \| \| newstest2011-engdeu.eng.deu \| 20.5 \| 0.508 \| \| newstest2012-engdeu.eng.deu \| 20.8 \| 0.507 \| \| newstest2013-engdeu.eng.deu \| 24.6 \| 0.534 \| \| newstest2015-ende-engdeu.eng.deu \| 27.9 \| 0.569 \| \| newstest2016-ende-engdeu.eng.deu \| 33.2 \| 0.607 \| \| newstest2017-ende-engdeu.eng.deu \| 26.5 \| 0.560 \| \| newstest2018-ende-engdeu.eng.deu \| 39.4 \| 0.648 \| \| newstest2019-ende-engdeu.eng.deu \| 35.0 \| 0.613 \| \| Tatoeba-test.eng-afr.eng.afr \| 56.5 \| 0.745 \| \| Tatoeba-test.eng-ang.eng.ang \| 6.7 \| 0.154 \| \| Tatoeba-test.eng-dan.eng.dan \| 58.0 \| 0.726 \| \| Tatoeba-test.eng-deu.eng.deu \| 40.3 \| 0.615 \| \| Tatoeba-test.eng-enm.eng.enm \| 1.4 \| 0.215 \| \| Tatoeba-test.eng-fao.eng.fao \| 7.2 \| 0.304 \| \| Tatoeba-test.eng-frr.eng.frr \| 5.5 \| 0.159 \| \| Tatoeba-test.eng-fry.eng.fry \| 19.4 \| 0.433 \| \| Tatoeba-test.eng-gos.eng.gos \| 1.0 \| 0.182 \| \| Tatoeba-test.eng-got.eng.got \| 0.3 \| 0.012 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 0.9 \| 0.130 \| \| Tatoeba-test.eng-isl.eng.isl \| 23.4 \| 0.505 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 1.1 \| 0.141 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 20.3 \| 0.379 \| \| Tatoeba-test.eng.multi \| 46.5 \| 0.641 \| \| Tatoeba-test.eng-nds.eng.nds \| 20.6 \| 0.458 \| \| Tatoeba-test.eng-nld.eng.nld \| 53.4 \| 0.702 \| \| Tatoeba-test.eng-non.eng.non \| 0.6 \| 0.166 \| \| Tatoeba-test.eng-nor.eng.nor \| 50.3 \| 0.679 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 3.9 \| 0.189 \| \| Tatoeba-test.eng-sco.eng.sco \| 33.0 \| 0.542 \| \| Tatoeba-test.eng-stq.eng.stq \| 2.3 \| 0.274 \| \| Tatoeba-test.eng-swe.eng.swe \| 57.9 \| 0.719 \| \| Tatoeba-test.eng-swg.eng.swg \| 1.2 \| 0.171 \| \| Tatoeba-test.eng-yid.eng.yid \| 7.2 \| 0.304 \| ### System Info: - hf_name: eng-gem - source_languages: eng - target_languages: gem - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem'] - src_constituents: {'eng'} - 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: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: gem - short_pair: en-gem - chrF2_score: 0.6409999999999999 - bleu: 46.5 - brevity_penalty: 0.9790000000000001 - ref_len: 73328.0 - src_name: English - tgt_name: Germanic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: gem - prefer_old: False - long_pair: eng-gem - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "lb", "yi", "gem"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gem	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "lb", "yi", "gem", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "lb", "yi", "gem" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #da #sv #af #nn #fy #fo #de #nb #nl #is #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-gem * source group: English * target group: Germanic languages * OPUS readme: eng-gem * model: transformer * source language(s): eng * target 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 * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.9, chr-F: 0.521 testset: URL, BLEU: 21.1, chr-F: 0.511 testset: URL, BLEU: 20.5, chr-F: 0.516 testset: URL, BLEU: 22.5, chr-F: 0.526 testset: URL, BLEU: 20.5, chr-F: 0.508 testset: URL, BLEU: 20.8, chr-F: 0.507 testset: URL, BLEU: 24.6, chr-F: 0.534 testset: URL, BLEU: 27.9, chr-F: 0.569 testset: URL, BLEU: 33.2, chr-F: 0.607 testset: URL, BLEU: 26.5, chr-F: 0.560 testset: URL, BLEU: 39.4, chr-F: 0.648 testset: URL, BLEU: 35.0, chr-F: 0.613 testset: URL, BLEU: 56.5, chr-F: 0.745 testset: URL, BLEU: 6.7, chr-F: 0.154 testset: URL, BLEU: 58.0, chr-F: 0.726 testset: URL, BLEU: 40.3, chr-F: 0.615 testset: URL, BLEU: 1.4, chr-F: 0.215 testset: URL, BLEU: 7.2, chr-F: 0.304 testset: URL, BLEU: 5.5, chr-F: 0.159 testset: URL, BLEU: 19.4, chr-F: 0.433 testset: URL, BLEU: 1.0, chr-F: 0.182 testset: URL, BLEU: 0.3, chr-F: 0.012 testset: URL, BLEU: 0.9, chr-F: 0.130 testset: URL, BLEU: 23.4, chr-F: 0.505 testset: URL, BLEU: 1.1, chr-F: 0.141 testset: URL, BLEU: 20.3, chr-F: 0.379 testset: URL, BLEU: 46.5, chr-F: 0.641 testset: URL, BLEU: 20.6, chr-F: 0.458 testset: URL, BLEU: 53.4, chr-F: 0.702 testset: URL, BLEU: 0.6, chr-F: 0.166 testset: URL, BLEU: 50.3, chr-F: 0.679 testset: URL, BLEU: 3.9, chr-F: 0.189 testset: URL, BLEU: 33.0, chr-F: 0.542 testset: URL, BLEU: 2.3, chr-F: 0.274 testset: URL, BLEU: 57.9, chr-F: 0.719 testset: URL, BLEU: 1.2, chr-F: 0.171 testset: URL, BLEU: 7.2, chr-F: 0.304 ### System Info: * hf\_name: eng-gem * source\_languages: eng * target\_languages: gem * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem'] * src\_constituents: {'eng'} * 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: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: gem * short\_pair: en-gem * chrF2\_score: 0.6409999999999999 * bleu: 46.5 * brevity\_penalty: 0.9790000000000001 * ref\_len: 73328.0 * src\_name: English * tgt\_name: Germanic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: gem * prefer\_old: False * long\_pair: eng-gem * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-gem\n\n\n* source group: English\n* target group: Germanic languages\n* OPUS readme: eng-gem\n* model: transformer\n* source language(s): eng\n* target 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* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.521\ntestset: URL, BLEU: 21.1, chr-F: 0.511\ntestset: URL, BLEU: 20.5, chr-F: 0.516\ntestset: URL, BLEU: 22.5, chr-F: 0.526\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 20.8, chr-F: 0.507\ntestset: URL, BLEU: 24.6, chr-F: 0.534\ntestset: URL, BLEU: 27.9, chr-F: 0.569\ntestset: URL, BLEU: 33.2, chr-F: 0.607\ntestset: URL, BLEU: 26.5, chr-F: 0.560\ntestset: URL, BLEU: 39.4, chr-F: 0.648\ntestset: URL, BLEU: 35.0, chr-F: 0.613\ntestset: URL, BLEU: 56.5, chr-F: 0.745\ntestset: URL, BLEU: 6.7, chr-F: 0.154\ntestset: URL, BLEU: 58.0, chr-F: 0.726\ntestset: URL, BLEU: 40.3, chr-F: 0.615\ntestset: URL, BLEU: 1.4, chr-F: 0.215\ntestset: URL, BLEU: 7.2, chr-F: 0.304\ntestset: URL, BLEU: 5.5, chr-F: 0.159\ntestset: URL, BLEU: 19.4, chr-F: 0.433\ntestset: URL, BLEU: 1.0, chr-F: 0.182\ntestset: URL, BLEU: 0.3, chr-F: 0.012\ntestset: URL, BLEU: 0.9, chr-F: 0.130\ntestset: URL, BLEU: 23.4, chr-F: 0.505\ntestset: URL, BLEU: 1.1, chr-F: 0.141\ntestset: URL, BLEU: 20.3, chr-F: 0.379\ntestset: URL, BLEU: 46.5, chr-F: 0.641\ntestset: URL, BLEU: 20.6, chr-F: 0.458\ntestset: URL, BLEU: 53.4, chr-F: 0.702\ntestset: URL, BLEU: 0.6, chr-F: 0.166\ntestset: URL, BLEU: 50.3, chr-F: 0.679\ntestset: URL, BLEU: 3.9, chr-F: 0.189\ntestset: URL, BLEU: 33.0, chr-F: 0.542\ntestset: URL, BLEU: 2.3, chr-F: 0.274\ntestset: URL, BLEU: 57.9, chr-F: 0.719\ntestset: URL, BLEU: 1.2, chr-F: 0.171\ntestset: URL, BLEU: 7.2, chr-F: 0.304", "### System Info:\n\n\n* hf\\_name: eng-gem\n* source\\_languages: eng\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']\n* src\\_constituents: {'eng'}\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: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gem\n* short\\_pair: en-gem\n* chrF2\\_score: 0.6409999999999999\n* bleu: 46.5\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 73328.0\n* src\\_name: English\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: eng-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 #en #da #sv #af #nn #fy #fo #de #nb #nl #is #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-gem\n\n\n* source group: English\n* target group: Germanic languages\n* OPUS readme: eng-gem\n* model: transformer\n* source language(s): eng\n* target 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* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.521\ntestset: URL, BLEU: 21.1, chr-F: 0.511\ntestset: URL, BLEU: 20.5, chr-F: 0.516\ntestset: URL, BLEU: 22.5, chr-F: 0.526\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 20.8, chr-F: 0.507\ntestset: URL, BLEU: 24.6, chr-F: 0.534\ntestset: URL, BLEU: 27.9, chr-F: 0.569\ntestset: URL, BLEU: 33.2, chr-F: 0.607\ntestset: URL, BLEU: 26.5, chr-F: 0.560\ntestset: URL, BLEU: 39.4, chr-F: 0.648\ntestset: URL, BLEU: 35.0, chr-F: 0.613\ntestset: URL, BLEU: 56.5, chr-F: 0.745\ntestset: URL, BLEU: 6.7, chr-F: 0.154\ntestset: URL, BLEU: 58.0, chr-F: 0.726\ntestset: URL, BLEU: 40.3, chr-F: 0.615\ntestset: URL, BLEU: 1.4, chr-F: 0.215\ntestset: URL, BLEU: 7.2, chr-F: 0.304\ntestset: URL, BLEU: 5.5, chr-F: 0.159\ntestset: URL, BLEU: 19.4, chr-F: 0.433\ntestset: URL, BLEU: 1.0, chr-F: 0.182\ntestset: URL, BLEU: 0.3, chr-F: 0.012\ntestset: URL, BLEU: 0.9, chr-F: 0.130\ntestset: URL, BLEU: 23.4, chr-F: 0.505\ntestset: URL, BLEU: 1.1, chr-F: 0.141\ntestset: URL, BLEU: 20.3, chr-F: 0.379\ntestset: URL, BLEU: 46.5, chr-F: 0.641\ntestset: URL, BLEU: 20.6, chr-F: 0.458\ntestset: URL, BLEU: 53.4, chr-F: 0.702\ntestset: URL, BLEU: 0.6, chr-F: 0.166\ntestset: URL, BLEU: 50.3, chr-F: 0.679\ntestset: URL, BLEU: 3.9, chr-F: 0.189\ntestset: URL, BLEU: 33.0, chr-F: 0.542\ntestset: URL, BLEU: 2.3, chr-F: 0.274\ntestset: URL, BLEU: 57.9, chr-F: 0.719\ntestset: URL, BLEU: 1.2, chr-F: 0.171\ntestset: URL, BLEU: 7.2, chr-F: 0.304", "### System Info:\n\n\n* hf\\_name: eng-gem\n* source\\_languages: eng\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']\n* src\\_constituents: {'eng'}\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: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gem\n* short\\_pair: en-gem\n* chrF2\\_score: 0.6409999999999999\n* bleu: 46.5\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 73328.0\n* src\\_name: English\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: eng-gem\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 79, 1036, 610 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #da #sv #af #nn #fy #fo #de #nb #nl #is #lb #yi #gem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-gem\n\n\n* source group: English\n* target group: Germanic languages\n* OPUS readme: eng-gem\n* model: transformer\n* source language(s): eng\n* target 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* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.9, chr-F: 0.521\ntestset: URL, BLEU: 21.1, chr-F: 0.511\ntestset: URL, BLEU: 20.5, chr-F: 0.516\ntestset: URL, BLEU: 22.5, chr-F: 0.526\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 20.8, chr-F: 0.507\ntestset: URL, BLEU: 24.6, chr-F: 0.534\ntestset: URL, BLEU: 27.9, chr-F: 0.569\ntestset: URL, BLEU: 33.2, chr-F: 0.607\ntestset: URL, BLEU: 26.5, chr-F: 0.560\ntestset: URL, BLEU: 39.4, chr-F: 0.648\ntestset: URL, BLEU: 35.0, chr-F: 0.613\ntestset: URL, BLEU: 56.5, chr-F: 0.745\ntestset: URL, BLEU: 6.7, chr-F: 0.154\ntestset: URL, BLEU: 58.0, chr-F: 0.726\ntestset: URL, BLEU: 40.3, chr-F: 0.615\ntestset: URL, BLEU: 1.4, chr-F: 0.215\ntestset: URL, BLEU: 7.2, chr-F: 0.304\ntestset: URL, BLEU: 5.5, chr-F: 0.159\ntestset: URL, BLEU: 19.4, chr-F: 0.433\ntestset: URL, BLEU: 1.0, chr-F: 0.182\ntestset: URL, BLEU: 0.3, chr-F: 0.012\ntestset: URL, BLEU: 0.9, chr-F: 0.130\ntestset: URL, BLEU: 23.4, chr-F: 0.505\ntestset: URL, BLEU: 1.1, chr-F: 0.141\ntestset: URL, BLEU: 20.3, chr-F: 0.379\ntestset: URL, BLEU: 46.5, chr-F: 0.641\ntestset: URL, BLEU: 20.6, chr-F: 0.458\ntestset: URL, BLEU: 53.4, chr-F: 0.702\ntestset: URL, BLEU: 0.6, chr-F: 0.166\ntestset: URL, BLEU: 50.3, chr-F: 0.679\ntestset: URL, BLEU: 3.9, chr-F: 0.189\ntestset: URL, BLEU: 33.0, chr-F: 0.542\ntestset: URL, BLEU: 2.3, chr-F: 0.274\ntestset: URL, BLEU: 57.9, chr-F: 0.719\ntestset: URL, BLEU: 1.2, chr-F: 0.171\ntestset: URL, BLEU: 7.2, chr-F: 0.304### System Info:\n\n\n* hf\\_name: eng-gem\n* source\\_languages: eng\n* target\\_languages: gem\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']\n* src\\_constituents: {'eng'}\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: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gem\n* short\\_pair: en-gem\n* chrF2\\_score: 0.6409999999999999\n* bleu: 46.5\n* brevity\\_penalty: 0.9790000000000001\n* ref\\_len: 73328.0\n* src\\_name: English\n* tgt\\_name: Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gem\n* prefer\\_old: False\n* long\\_pair: eng-gem\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-en-gil * source languages: en * target languages: gil * OPUS readme: [en-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.gil \| 38.8 \| 0.604 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-gil * source languages: en * target languages: gil * OPUS readme: en-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: 38.8, chr-F: 0.604	[ "### opus-mt-en-gil\n\n\n* source languages: en\n* target languages: gil\n* OPUS readme: en-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: 38.8, chr-F: 0.604" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-gil\n\n\n* source languages: en\n* target languages: gil\n* OPUS readme: en-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: 38.8, chr-F: 0.604" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-gil\n\n\n* source languages: en\n* target languages: gil\n* OPUS readme: en-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: 38.8, chr-F: 0.604" ]
translation	transformers	### opus-mt-en-gl * source languages: en * target languages: gl * OPUS readme: [en-gl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.gl \| 36.4 \| 0.572 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gl	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "gl", "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 #en #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-gl * source languages: en * target languages: gl * OPUS readme: en-gl * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.4, chr-F: 0.572	[ "### opus-mt-en-gl\n\n\n* source languages: en\n* target languages: gl\n* OPUS readme: en-gl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.572" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-gl\n\n\n* source languages: en\n* target languages: gl\n* OPUS readme: en-gl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.572" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-gl\n\n\n* source languages: en\n* target languages: gl\n* OPUS readme: en-gl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.572" ]
translation	transformers	### eng-gmq * source group: English * target group: North Germanic languages * OPUS readme: [eng-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md) * model: transformer * source language(s): eng * target language(s): dan fao isl nno nob nob_Hebr non_Latn swe * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-dan.eng.dan \| 57.7 \| 0.724 \| \| Tatoeba-test.eng-fao.eng.fao \| 9.2 \| 0.322 \| \| Tatoeba-test.eng-isl.eng.isl \| 23.8 \| 0.506 \| \| Tatoeba-test.eng.multi \| 52.8 \| 0.688 \| \| Tatoeba-test.eng-non.eng.non \| 0.7 \| 0.196 \| \| Tatoeba-test.eng-nor.eng.nor \| 50.3 \| 0.678 \| \| Tatoeba-test.eng-swe.eng.swe \| 57.8 \| 0.717 \| ### System Info: - hf_name: eng-gmq - source_languages: eng - target_languages: gmq - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq'] - src_constituents: {'eng'} - tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: gmq - short_pair: en-gmq - chrF2_score: 0.688 - bleu: 52.8 - brevity_penalty: 0.973 - ref_len: 71881.0 - src_name: English - tgt_name: North Germanic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: gmq - prefer_old: False - long_pair: eng-gmq - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "da", "nb", "sv", "is", "nn", "fo", "gmq"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gmq	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "da", "nb", "sv", "is", "nn", "fo", "gmq", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "da", "nb", "sv", "is", "nn", "fo", "gmq" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-gmq * source group: English * target group: North Germanic languages * OPUS readme: eng-gmq * model: transformer * source language(s): eng * target language(s): dan fao isl nno nob nob\_Hebr non\_Latn swe * 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: 57.7, chr-F: 0.724 testset: URL, BLEU: 9.2, chr-F: 0.322 testset: URL, BLEU: 23.8, chr-F: 0.506 testset: URL, BLEU: 52.8, chr-F: 0.688 testset: URL, BLEU: 0.7, chr-F: 0.196 testset: URL, BLEU: 50.3, chr-F: 0.678 testset: URL, BLEU: 57.8, chr-F: 0.717 ### System Info: * hf\_name: eng-gmq * source\_languages: eng * target\_languages: gmq * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq'] * src\_constituents: {'eng'} * tgt\_constituents: {'dan', 'nob', 'nob\_Hebr', 'swe', 'isl', 'nno', 'non\_Latn', 'fao'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: gmq * short\_pair: en-gmq * chrF2\_score: 0.688 * bleu: 52.8 * brevity\_penalty: 0.973 * ref\_len: 71881.0 * src\_name: English * tgt\_name: North Germanic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: gmq * prefer\_old: False * long\_pair: eng-gmq * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-gmq\n\n\n* source group: English\n* target group: North Germanic languages\n* OPUS readme: eng-gmq\n* model: transformer\n* source language(s): eng\n* target language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\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: 57.7, chr-F: 0.724\ntestset: URL, BLEU: 9.2, chr-F: 0.322\ntestset: URL, BLEU: 23.8, chr-F: 0.506\ntestset: URL, BLEU: 52.8, chr-F: 0.688\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 50.3, chr-F: 0.678\ntestset: URL, BLEU: 57.8, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: eng-gmq\n* source\\_languages: eng\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmq\n* short\\_pair: en-gmq\n* chrF2\\_score: 0.688\n* bleu: 52.8\n* brevity\\_penalty: 0.973\n* ref\\_len: 71881.0\n* src\\_name: English\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: eng-gmq\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 #en #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-gmq\n\n\n* source group: English\n* target group: North Germanic languages\n* OPUS readme: eng-gmq\n* model: transformer\n* source language(s): eng\n* target language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\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: 57.7, chr-F: 0.724\ntestset: URL, BLEU: 9.2, chr-F: 0.322\ntestset: URL, BLEU: 23.8, chr-F: 0.506\ntestset: URL, BLEU: 52.8, chr-F: 0.688\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 50.3, chr-F: 0.678\ntestset: URL, BLEU: 57.8, chr-F: 0.717", "### System Info:\n\n\n* hf\\_name: eng-gmq\n* source\\_languages: eng\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmq\n* short\\_pair: en-gmq\n* chrF2\\_score: 0.688\n* bleu: 52.8\n* brevity\\_penalty: 0.973\n* ref\\_len: 71881.0\n* src\\_name: English\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: eng-gmq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 67, 316, 472 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-gmq\n\n\n* source group: English\n* target group: North Germanic languages\n* OPUS readme: eng-gmq\n* model: transformer\n* source language(s): eng\n* target language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\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: 57.7, chr-F: 0.724\ntestset: URL, BLEU: 9.2, chr-F: 0.322\ntestset: URL, BLEU: 23.8, chr-F: 0.506\ntestset: URL, BLEU: 52.8, chr-F: 0.688\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 50.3, chr-F: 0.678\ntestset: URL, BLEU: 57.8, chr-F: 0.717### System Info:\n\n\n* hf\\_name: eng-gmq\n* source\\_languages: eng\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmq\n* short\\_pair: en-gmq\n* chrF2\\_score: 0.688\n* bleu: 52.8\n* brevity\\_penalty: 0.973\n* ref\\_len: 71881.0\n* src\\_name: English\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: eng-gmq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-gmw * source group: English * target group: West Germanic languages * OPUS readme: [eng-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md) * model: transformer * source language(s): eng * target language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-engdeu.eng.deu \| 21.4 \| 0.518 \| \| news-test2008-engdeu.eng.deu \| 21.0 \| 0.510 \| \| newstest2009-engdeu.eng.deu \| 20.4 \| 0.513 \| \| newstest2010-engdeu.eng.deu \| 22.9 \| 0.528 \| \| newstest2011-engdeu.eng.deu \| 20.5 \| 0.508 \| \| newstest2012-engdeu.eng.deu \| 21.0 \| 0.507 \| \| newstest2013-engdeu.eng.deu \| 24.7 \| 0.533 \| \| newstest2015-ende-engdeu.eng.deu \| 28.2 \| 0.568 \| \| newstest2016-ende-engdeu.eng.deu \| 33.3 \| 0.605 \| \| newstest2017-ende-engdeu.eng.deu \| 26.5 \| 0.559 \| \| newstest2018-ende-engdeu.eng.deu \| 39.9 \| 0.649 \| \| newstest2019-ende-engdeu.eng.deu \| 35.9 \| 0.616 \| \| Tatoeba-test.eng-afr.eng.afr \| 55.7 \| 0.740 \| \| Tatoeba-test.eng-ang.eng.ang \| 6.5 \| 0.164 \| \| Tatoeba-test.eng-deu.eng.deu \| 40.4 \| 0.614 \| \| Tatoeba-test.eng-enm.eng.enm \| 2.3 \| 0.254 \| \| Tatoeba-test.eng-frr.eng.frr \| 8.4 \| 0.248 \| \| Tatoeba-test.eng-fry.eng.fry \| 17.9 \| 0.424 \| \| Tatoeba-test.eng-gos.eng.gos \| 2.2 \| 0.309 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 1.6 \| 0.186 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 1.5 \| 0.189 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 20.2 \| 0.383 \| \| Tatoeba-test.eng.multi \| 41.6 \| 0.609 \| \| Tatoeba-test.eng-nds.eng.nds \| 18.9 \| 0.437 \| \| Tatoeba-test.eng-nld.eng.nld \| 53.1 \| 0.699 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 7.7 \| 0.262 \| \| Tatoeba-test.eng-sco.eng.sco \| 37.7 \| 0.557 \| \| Tatoeba-test.eng-stq.eng.stq \| 5.9 \| 0.380 \| \| Tatoeba-test.eng-swg.eng.swg \| 6.2 \| 0.236 \| \| Tatoeba-test.eng-yid.eng.yid \| 6.8 \| 0.296 \| ### System Info: - hf_name: eng-gmw - source_languages: eng - target_languages: gmw - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] - src_constituents: {'eng'} - tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: gmw - short_pair: en-gmw - chrF2_score: 0.609 - bleu: 41.6 - brevity_penalty: 0.9890000000000001 - ref_len: 74922.0 - src_name: English - tgt_name: West Germanic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: gmw - prefer_old: False - long_pair: eng-gmw - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "nl", "lb", "af", "de", "fy", "yi", "gmw"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gmw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "nl", "lb", "af", "de", "fy", "yi", "gmw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "nl", "lb", "af", "de", "fy", "yi", "gmw" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #nl #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-gmw * source group: English * target group: West Germanic languages * OPUS readme: eng-gmw * model: transformer * source language(s): eng * target language(s): afr ang\_Latn deu enm\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq 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: 21.4, chr-F: 0.518 testset: URL, BLEU: 21.0, chr-F: 0.510 testset: URL, BLEU: 20.4, chr-F: 0.513 testset: URL, BLEU: 22.9, chr-F: 0.528 testset: URL, BLEU: 20.5, chr-F: 0.508 testset: URL, BLEU: 21.0, chr-F: 0.507 testset: URL, BLEU: 24.7, chr-F: 0.533 testset: URL, BLEU: 28.2, chr-F: 0.568 testset: URL, BLEU: 33.3, chr-F: 0.605 testset: URL, BLEU: 26.5, chr-F: 0.559 testset: URL, BLEU: 39.9, chr-F: 0.649 testset: URL, BLEU: 35.9, chr-F: 0.616 testset: URL, BLEU: 55.7, chr-F: 0.740 testset: URL, BLEU: 6.5, chr-F: 0.164 testset: URL, BLEU: 40.4, chr-F: 0.614 testset: URL, BLEU: 2.3, chr-F: 0.254 testset: URL, BLEU: 8.4, chr-F: 0.248 testset: URL, BLEU: 17.9, chr-F: 0.424 testset: URL, BLEU: 2.2, chr-F: 0.309 testset: URL, BLEU: 1.6, chr-F: 0.186 testset: URL, BLEU: 1.5, chr-F: 0.189 testset: URL, BLEU: 20.2, chr-F: 0.383 testset: URL, BLEU: 41.6, chr-F: 0.609 testset: URL, BLEU: 18.9, chr-F: 0.437 testset: URL, BLEU: 53.1, chr-F: 0.699 testset: URL, BLEU: 7.7, chr-F: 0.262 testset: URL, BLEU: 37.7, chr-F: 0.557 testset: URL, BLEU: 5.9, chr-F: 0.380 testset: URL, BLEU: 6.2, chr-F: 0.236 testset: URL, BLEU: 6.8, chr-F: 0.296 ### System Info: * hf\_name: eng-gmw * source\_languages: eng * target\_languages: gmw * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] * src\_constituents: {'eng'} * tgt\_constituents: {'ksh', 'nld', 'eng', 'enm\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: gmw * short\_pair: en-gmw * chrF2\_score: 0.609 * bleu: 41.6 * brevity\_penalty: 0.9890000000000001 * ref\_len: 74922.0 * src\_name: English * tgt\_name: West Germanic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: gmw * prefer\_old: False * long\_pair: eng-gmw * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-gmw\n\n\n* source group: English\n* target group: West Germanic languages\n* OPUS readme: eng-gmw\n* model: transformer\n* source language(s): eng\n* target language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq 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: 21.4, chr-F: 0.518\ntestset: URL, BLEU: 21.0, chr-F: 0.510\ntestset: URL, BLEU: 20.4, chr-F: 0.513\ntestset: URL, BLEU: 22.9, chr-F: 0.528\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 21.0, chr-F: 0.507\ntestset: URL, BLEU: 24.7, chr-F: 0.533\ntestset: URL, BLEU: 28.2, chr-F: 0.568\ntestset: URL, BLEU: 33.3, chr-F: 0.605\ntestset: URL, BLEU: 26.5, chr-F: 0.559\ntestset: URL, BLEU: 39.9, chr-F: 0.649\ntestset: URL, BLEU: 35.9, chr-F: 0.616\ntestset: URL, BLEU: 55.7, chr-F: 0.740\ntestset: URL, BLEU: 6.5, chr-F: 0.164\ntestset: URL, BLEU: 40.4, chr-F: 0.614\ntestset: URL, BLEU: 2.3, chr-F: 0.254\ntestset: URL, BLEU: 8.4, chr-F: 0.248\ntestset: URL, BLEU: 17.9, chr-F: 0.424\ntestset: URL, BLEU: 2.2, chr-F: 0.309\ntestset: URL, BLEU: 1.6, chr-F: 0.186\ntestset: URL, BLEU: 1.5, chr-F: 0.189\ntestset: URL, BLEU: 20.2, chr-F: 0.383\ntestset: URL, BLEU: 41.6, chr-F: 0.609\ntestset: URL, BLEU: 18.9, chr-F: 0.437\ntestset: URL, BLEU: 53.1, chr-F: 0.699\ntestset: URL, BLEU: 7.7, chr-F: 0.262\ntestset: URL, BLEU: 37.7, chr-F: 0.557\ntestset: URL, BLEU: 5.9, chr-F: 0.380\ntestset: URL, BLEU: 6.2, chr-F: 0.236\ntestset: URL, BLEU: 6.8, chr-F: 0.296", "### System Info:\n\n\n* hf\\_name: eng-gmw\n* source\\_languages: eng\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmw\n* short\\_pair: en-gmw\n* chrF2\\_score: 0.609\n* bleu: 41.6\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 74922.0\n* src\\_name: English\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: eng-gmw\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 #en #nl #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-gmw\n\n\n* source group: English\n* target group: West Germanic languages\n* OPUS readme: eng-gmw\n* model: transformer\n* source language(s): eng\n* target language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq 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: 21.4, chr-F: 0.518\ntestset: URL, BLEU: 21.0, chr-F: 0.510\ntestset: URL, BLEU: 20.4, chr-F: 0.513\ntestset: URL, BLEU: 22.9, chr-F: 0.528\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 21.0, chr-F: 0.507\ntestset: URL, BLEU: 24.7, chr-F: 0.533\ntestset: URL, BLEU: 28.2, chr-F: 0.568\ntestset: URL, BLEU: 33.3, chr-F: 0.605\ntestset: URL, BLEU: 26.5, chr-F: 0.559\ntestset: URL, BLEU: 39.9, chr-F: 0.649\ntestset: URL, BLEU: 35.9, chr-F: 0.616\ntestset: URL, BLEU: 55.7, chr-F: 0.740\ntestset: URL, BLEU: 6.5, chr-F: 0.164\ntestset: URL, BLEU: 40.4, chr-F: 0.614\ntestset: URL, BLEU: 2.3, chr-F: 0.254\ntestset: URL, BLEU: 8.4, chr-F: 0.248\ntestset: URL, BLEU: 17.9, chr-F: 0.424\ntestset: URL, BLEU: 2.2, chr-F: 0.309\ntestset: URL, BLEU: 1.6, chr-F: 0.186\ntestset: URL, BLEU: 1.5, chr-F: 0.189\ntestset: URL, BLEU: 20.2, chr-F: 0.383\ntestset: URL, BLEU: 41.6, chr-F: 0.609\ntestset: URL, BLEU: 18.9, chr-F: 0.437\ntestset: URL, BLEU: 53.1, chr-F: 0.699\ntestset: URL, BLEU: 7.7, chr-F: 0.262\ntestset: URL, BLEU: 37.7, chr-F: 0.557\ntestset: URL, BLEU: 5.9, chr-F: 0.380\ntestset: URL, BLEU: 6.2, chr-F: 0.236\ntestset: URL, BLEU: 6.8, chr-F: 0.296", "### System Info:\n\n\n* hf\\_name: eng-gmw\n* source\\_languages: eng\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmw\n* short\\_pair: en-gmw\n* chrF2\\_score: 0.609\n* bleu: 41.6\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 74922.0\n* src\\_name: English\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: eng-gmw\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 65, 854, 525 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #nl #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-gmw\n\n\n* source group: English\n* target group: West Germanic languages\n* OPUS readme: eng-gmw\n* model: transformer\n* source language(s): eng\n* target language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq 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: 21.4, chr-F: 0.518\ntestset: URL, BLEU: 21.0, chr-F: 0.510\ntestset: URL, BLEU: 20.4, chr-F: 0.513\ntestset: URL, BLEU: 22.9, chr-F: 0.528\ntestset: URL, BLEU: 20.5, chr-F: 0.508\ntestset: URL, BLEU: 21.0, chr-F: 0.507\ntestset: URL, BLEU: 24.7, chr-F: 0.533\ntestset: URL, BLEU: 28.2, chr-F: 0.568\ntestset: URL, BLEU: 33.3, chr-F: 0.605\ntestset: URL, BLEU: 26.5, chr-F: 0.559\ntestset: URL, BLEU: 39.9, chr-F: 0.649\ntestset: URL, BLEU: 35.9, chr-F: 0.616\ntestset: URL, BLEU: 55.7, chr-F: 0.740\ntestset: URL, BLEU: 6.5, chr-F: 0.164\ntestset: URL, BLEU: 40.4, chr-F: 0.614\ntestset: URL, BLEU: 2.3, chr-F: 0.254\ntestset: URL, BLEU: 8.4, chr-F: 0.248\ntestset: URL, BLEU: 17.9, chr-F: 0.424\ntestset: URL, BLEU: 2.2, chr-F: 0.309\ntestset: URL, BLEU: 1.6, chr-F: 0.186\ntestset: URL, BLEU: 1.5, chr-F: 0.189\ntestset: URL, BLEU: 20.2, chr-F: 0.383\ntestset: URL, BLEU: 41.6, chr-F: 0.609\ntestset: URL, BLEU: 18.9, chr-F: 0.437\ntestset: URL, BLEU: 53.1, chr-F: 0.699\ntestset: URL, BLEU: 7.7, chr-F: 0.262\ntestset: URL, BLEU: 37.7, chr-F: 0.557\ntestset: URL, BLEU: 5.9, chr-F: 0.380\ntestset: URL, BLEU: 6.2, chr-F: 0.236\ntestset: URL, BLEU: 6.8, chr-F: 0.296### System Info:\n\n\n* hf\\_name: eng-gmw\n* source\\_languages: eng\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: gmw\n* short\\_pair: en-gmw\n* chrF2\\_score: 0.609\n* bleu: 41.6\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 74922.0\n* src\\_name: English\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: eng-gmw\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-grk * source group: English * target group: Greek languages * OPUS readme: [eng-grk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md) * model: transformer * source language(s): eng * target language(s): ell grc_Grek * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-ell.eng.ell \| 53.8 \| 0.723 \| \| Tatoeba-test.eng-grc.eng.grc \| 0.1 \| 0.102 \| \| Tatoeba-test.eng.multi \| 45.6 \| 0.677 \| ### System Info: - hf_name: eng-grk - source_languages: eng - target_languages: grk - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'el', 'grk'] - src_constituents: {'eng'} - tgt_constituents: {'grc_Grek', 'ell'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: grk - short_pair: en-grk - chrF2_score: 0.677 - bleu: 45.6 - brevity_penalty: 1.0 - ref_len: 59951.0 - src_name: English - tgt_name: Greek languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: grk - prefer_old: False - long_pair: eng-grk - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "el", "grk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-grk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "el", "grk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "el", "grk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #el #grk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-grk * source group: English * target group: Greek languages * OPUS readme: eng-grk * model: transformer * source language(s): eng * target language(s): ell grc\_Grek * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 53.8, chr-F: 0.723 testset: URL, BLEU: 0.1, chr-F: 0.102 testset: URL, BLEU: 45.6, chr-F: 0.677 ### System Info: * hf\_name: eng-grk * source\_languages: eng * target\_languages: grk * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'el', 'grk'] * src\_constituents: {'eng'} * tgt\_constituents: {'grc\_Grek', 'ell'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: grk * short\_pair: en-grk * chrF2\_score: 0.677 * bleu: 45.6 * brevity\_penalty: 1.0 * ref\_len: 59951.0 * src\_name: English * tgt\_name: Greek languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: grk * prefer\_old: False * long\_pair: eng-grk * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-grk\n\n\n* source group: English\n* target group: Greek languages\n* OPUS readme: eng-grk\n* model: transformer\n* source language(s): eng\n* target language(s): ell grc\\_Grek\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.8, chr-F: 0.723\ntestset: URL, BLEU: 0.1, chr-F: 0.102\ntestset: URL, BLEU: 45.6, chr-F: 0.677", "### System Info:\n\n\n* hf\\_name: eng-grk\n* source\\_languages: eng\n* target\\_languages: grk\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'el', 'grk']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'grc\\_Grek', 'ell'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: grk\n* short\\_pair: en-grk\n* chrF2\\_score: 0.677\n* bleu: 45.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 59951.0\n* src\\_name: English\n* tgt\\_name: Greek languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: grk\n* prefer\\_old: False\n* long\\_pair: eng-grk\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 #en #el #grk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-grk\n\n\n* source group: English\n* target group: Greek languages\n* OPUS readme: eng-grk\n* model: transformer\n* source language(s): eng\n* target language(s): ell grc\\_Grek\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.8, chr-F: 0.723\ntestset: URL, BLEU: 0.1, chr-F: 0.102\ntestset: URL, BLEU: 45.6, chr-F: 0.677", "### System Info:\n\n\n* hf\\_name: eng-grk\n* source\\_languages: eng\n* target\\_languages: grk\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'el', 'grk']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'grc\\_Grek', 'ell'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: grk\n* short\\_pair: en-grk\n* chrF2\\_score: 0.677\n* bleu: 45.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 59951.0\n* src\\_name: English\n* tgt\\_name: Greek languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: grk\n* prefer\\_old: False\n* long\\_pair: eng-grk\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 54, 209, 413 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #el #grk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-grk\n\n\n* source group: English\n* target group: Greek languages\n* OPUS readme: eng-grk\n* model: transformer\n* source language(s): eng\n* target language(s): ell grc\\_Grek\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 53.8, chr-F: 0.723\ntestset: URL, BLEU: 0.1, chr-F: 0.102\ntestset: URL, BLEU: 45.6, chr-F: 0.677### System Info:\n\n\n* hf\\_name: eng-grk\n* source\\_languages: eng\n* target\\_languages: grk\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'el', 'grk']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'grc\\_Grek', 'ell'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: grk\n* short\\_pair: en-grk\n* chrF2\\_score: 0.677\n* bleu: 45.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 59951.0\n* src\\_name: English\n* tgt\\_name: Greek languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: grk\n* prefer\\_old: False\n* long\\_pair: eng-grk\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-en-guw * source languages: en * target languages: guw * OPUS readme: [en-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.guw \| 45.7 \| 0.634 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-guw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-guw * source languages: en * target languages: guw * OPUS readme: en-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: 45.7, chr-F: 0.634	[ "### opus-mt-en-guw\n\n\n* source languages: en\n* target languages: guw\n* OPUS readme: en-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: 45.7, chr-F: 0.634" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-guw\n\n\n* source languages: en\n* target languages: guw\n* OPUS readme: en-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: 45.7, chr-F: 0.634" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-guw\n\n\n* source languages: en\n* target languages: guw\n* OPUS readme: en-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: 45.7, chr-F: 0.634" ]
translation	transformers	### opus-mt-en-gv * source languages: en * target languages: gv * OPUS readme: [en-gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.en.gv \| 70.1 \| 0.885 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-gv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "gv", "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 #en #gv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-gv * source languages: en * target languages: gv * OPUS readme: en-gv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 70.1, chr-F: 0.885	[ "### opus-mt-en-gv\n\n\n* source languages: en\n* target languages: gv\n* OPUS readme: en-gv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 70.1, chr-F: 0.885" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-gv\n\n\n* source languages: en\n* target languages: gv\n* OPUS readme: en-gv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 70.1, chr-F: 0.885" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #gv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-gv\n\n\n* source languages: en\n* target languages: gv\n* OPUS readme: en-gv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 70.1, chr-F: 0.885" ]
translation	transformers	### opus-mt-en-ha * source languages: en * target languages: ha * OPUS readme: [en-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ha \| 34.1 \| 0.544 \| \| Tatoeba.en.ha \| 17.6 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ha	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ha * source languages: en * target languages: ha * OPUS readme: en-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: 34.1, chr-F: 0.544 testset: URL, BLEU: 17.6, chr-F: 0.498	[ "### opus-mt-en-ha\n\n\n* source languages: en\n* target languages: ha\n* OPUS readme: en-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: 34.1, chr-F: 0.544\ntestset: URL, BLEU: 17.6, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ha\n\n\n* source languages: en\n* target languages: ha\n* OPUS readme: en-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: 34.1, chr-F: 0.544\ntestset: URL, BLEU: 17.6, chr-F: 0.498" ]	[ 51, 129 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ha\n\n\n* source languages: en\n* target languages: ha\n* OPUS readme: en-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: 34.1, chr-F: 0.544\ntestset: URL, BLEU: 17.6, chr-F: 0.498" ]
translation	transformers	### opus-mt-en-he * source languages: en * target languages: he * OPUS readme: [en-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-he/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.he \| 40.1 \| 0.609 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-he	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "en", "he", "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 #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-he * source languages: en * target languages: he * OPUS readme: en-he * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.1, chr-F: 0.609	[ "### opus-mt-en-he\n\n\n* source languages: en\n* target languages: he\n* OPUS readme: en-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.609" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-he\n\n\n* source languages: en\n* target languages: he\n* OPUS readme: en-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.609" ]	[ 53, 106 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-he\n\n\n* source languages: en\n* target languages: he\n* OPUS readme: en-he\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.1, chr-F: 0.609" ]
translation	transformers	### eng-hin * source group: English * target group: Hindi * OPUS readme: [eng-hin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md) * model: transformer-align * source language(s): eng * target language(s): hin * 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/eng-hin/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014.eng.hin \| 6.9 \| 0.296 \| \| newstest2014-hien.eng.hin \| 9.9 \| 0.323 \| \| Tatoeba-test.eng.hin \| 16.1 \| 0.447 \| ### System Info: - hf_name: eng-hin - source_languages: eng - target_languages: hin - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'hi'] - src_constituents: {'eng'} - tgt_constituents: {'hin'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt - src_alpha3: eng - tgt_alpha3: hin - short_pair: en-hi - chrF2_score: 0.447 - bleu: 16.1 - brevity_penalty: 1.0 - ref_len: 32904.0 - src_name: English - tgt_name: Hindi - train_date: 2020-06-17 - src_alpha2: en - tgt_alpha2: hi - prefer_old: False - long_pair: eng-hin - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "hi"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-hi	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "en", "hi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "hi" ]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-hin * source group: English * target group: Hindi * OPUS readme: eng-hin * model: transformer-align * source language(s): eng * target language(s): hin * 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: 6.9, chr-F: 0.296 testset: URL, BLEU: 9.9, chr-F: 0.323 testset: URL, BLEU: 16.1, chr-F: 0.447 ### System Info: * hf\_name: eng-hin * source\_languages: eng * target\_languages: hin * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'hi'] * src\_constituents: {'eng'} * tgt\_constituents: {'hin'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: hin * short\_pair: en-hi * chrF2\_score: 0.447 * bleu: 16.1 * brevity\_penalty: 1.0 * ref\_len: 32904.0 * src\_name: English * tgt\_name: Hindi * train\_date: 2020-06-17 * src\_alpha2: en * tgt\_alpha2: hi * prefer\_old: False * long\_pair: eng-hin * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-hin\n\n\n* source group: English\n* target group: Hindi\n* OPUS readme: eng-hin\n* model: transformer-align\n* source language(s): eng\n* target language(s): hin\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: 6.9, chr-F: 0.296\ntestset: URL, BLEU: 9.9, chr-F: 0.323\ntestset: URL, BLEU: 16.1, chr-F: 0.447", "### System Info:\n\n\n* hf\\_name: eng-hin\n* source\\_languages: eng\n* target\\_languages: hin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hi']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hin'}\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: eng\n* tgt\\_alpha3: hin\n* short\\_pair: en-hi\n* chrF2\\_score: 0.447\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 32904.0\n* src\\_name: English\n* tgt\\_name: Hindi\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: hi\n* prefer\\_old: False\n* long\\_pair: eng-hin\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 #rust #marian #text2text-generation #translation #en #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-hin\n\n\n* source group: English\n* target group: Hindi\n* OPUS readme: eng-hin\n* model: transformer-align\n* source language(s): eng\n* target language(s): hin\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: 6.9, chr-F: 0.296\ntestset: URL, BLEU: 9.9, chr-F: 0.323\ntestset: URL, BLEU: 16.1, chr-F: 0.447", "### System Info:\n\n\n* hf\\_name: eng-hin\n* source\\_languages: eng\n* target\\_languages: hin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hi']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hin'}\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: eng\n* tgt\\_alpha3: hin\n* short\\_pair: en-hi\n* chrF2\\_score: 0.447\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 32904.0\n* src\\_name: English\n* tgt\\_name: Hindi\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: hi\n* prefer\\_old: False\n* long\\_pair: eng-hin\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 53, 178, 396 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #en #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-hin\n\n\n* source group: English\n* target group: Hindi\n* OPUS readme: eng-hin\n* model: transformer-align\n* source language(s): eng\n* target language(s): hin\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: 6.9, chr-F: 0.296\ntestset: URL, BLEU: 9.9, chr-F: 0.323\ntestset: URL, BLEU: 16.1, chr-F: 0.447### System Info:\n\n\n* hf\\_name: eng-hin\n* source\\_languages: eng\n* target\\_languages: hin\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hi']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hin'}\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: eng\n* tgt\\_alpha3: hin\n* short\\_pair: en-hi\n* chrF2\\_score: 0.447\n* bleu: 16.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 32904.0\n* src\\_name: English\n* tgt\\_name: Hindi\n* train\\_date: 2020-06-17\n* src\\_alpha2: en\n* tgt\\_alpha2: hi\n* prefer\\_old: False\n* long\\_pair: eng-hin\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-en-hil * source languages: en * target languages: hil * OPUS readme: [en-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.hil \| 49.4 \| 0.696 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-hil	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-hil * source languages: en * target languages: hil * OPUS readme: en-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: 49.4, chr-F: 0.696	[ "### opus-mt-en-hil\n\n\n* source languages: en\n* target languages: hil\n* OPUS readme: en-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: 49.4, chr-F: 0.696" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-hil\n\n\n* source languages: en\n* target languages: hil\n* OPUS readme: en-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: 49.4, chr-F: 0.696" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-hil\n\n\n* source languages: en\n* target languages: hil\n* OPUS readme: en-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: 49.4, chr-F: 0.696" ]
translation	transformers	### opus-mt-en-ho * source languages: en * target languages: ho * OPUS readme: [en-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ho \| 33.9 \| 0.563 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ho	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ho * source languages: en * target languages: ho * OPUS readme: en-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: 33.9, chr-F: 0.563	[ "### opus-mt-en-ho\n\n\n* source languages: en\n* target languages: ho\n* OPUS readme: en-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: 33.9, chr-F: 0.563" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ho\n\n\n* source languages: en\n* target languages: ho\n* OPUS readme: en-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: 33.9, chr-F: 0.563" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ho\n\n\n* source languages: en\n* target languages: ho\n* OPUS readme: en-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: 33.9, chr-F: 0.563" ]
translation	transformers	### opus-mt-en-ht * source languages: en * target languages: ht * OPUS readme: [en-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ht \| 38.3 \| 0.545 \| \| Tatoeba.en.ht \| 45.2 \| 0.592 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ht	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ht * source languages: en * target languages: ht * OPUS readme: en-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: 38.3, chr-F: 0.545 testset: URL, BLEU: 45.2, chr-F: 0.592	[ "### opus-mt-en-ht\n\n\n* source languages: en\n* target languages: ht\n* OPUS readme: en-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: 38.3, chr-F: 0.545\ntestset: URL, BLEU: 45.2, chr-F: 0.592" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ht\n\n\n* source languages: en\n* target languages: ht\n* OPUS readme: en-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: 38.3, chr-F: 0.545\ntestset: URL, BLEU: 45.2, chr-F: 0.592" ]	[ 52, 132 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ht\n\n\n* source languages: en\n* target languages: ht\n* OPUS readme: en-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: 38.3, chr-F: 0.545\ntestset: URL, BLEU: 45.2, chr-F: 0.592" ]
translation	transformers	### opus-mt-en-hu * source languages: en * target languages: hu * OPUS readme: [en-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.hu \| 40.1 \| 0.628 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-hu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-hu * source languages: en * target languages: hu * OPUS readme: en-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: 40.1, chr-F: 0.628	[ "### opus-mt-en-hu\n\n\n* source languages: en\n* target languages: hu\n* OPUS readme: en-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: 40.1, chr-F: 0.628" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-hu\n\n\n* source languages: en\n* target languages: hu\n* OPUS readme: en-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: 40.1, chr-F: 0.628" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-hu\n\n\n* source languages: en\n* target languages: hu\n* OPUS readme: en-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: 40.1, chr-F: 0.628" ]
translation	transformers	### eng-hye * source group: English * target group: Armenian * OPUS readme: [eng-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md) * model: transformer-align * source language(s): eng * target language(s): hye * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng.hye \| 16.6 \| 0.404 \| ### System Info: - hf_name: eng-hye - source_languages: eng - target_languages: hye - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'hy'] - src_constituents: {'eng'} - tgt_constituents: {'hye', 'hye_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt - src_alpha3: eng - tgt_alpha3: hye - short_pair: en-hy - chrF2_score: 0.40399999999999997 - bleu: 16.6 - brevity_penalty: 1.0 - ref_len: 5115.0 - src_name: English - tgt_name: Armenian - train_date: 2020-06-16 - src_alpha2: en - tgt_alpha2: hy - prefer_old: False - long_pair: eng-hye - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "hy"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-hy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "hy", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "hy" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-hye * source group: English * target group: Armenian * OPUS readme: eng-hye * model: transformer-align * source language(s): eng * target language(s): hye * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 16.6, chr-F: 0.404 ### System Info: * hf\_name: eng-hye * source\_languages: eng * target\_languages: hye * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'hy'] * src\_constituents: {'eng'} * tgt\_constituents: {'hye', 'hye\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: hye * short\_pair: en-hy * chrF2\_score: 0.40399999999999997 * bleu: 16.6 * brevity\_penalty: 1.0 * ref\_len: 5115.0 * src\_name: English * tgt\_name: Armenian * train\_date: 2020-06-16 * src\_alpha2: en * tgt\_alpha2: hy * prefer\_old: False * long\_pair: eng-hye * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-hye\n\n\n* source group: English\n* target group: Armenian\n* OPUS readme: eng-hye\n* model: transformer-align\n* source language(s): eng\n* target language(s): hye\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.404", "### System Info:\n\n\n* hf\\_name: eng-hye\n* source\\_languages: eng\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hy']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\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: eng\n* tgt\\_alpha3: hye\n* short\\_pair: en-hy\n* chrF2\\_score: 0.40399999999999997\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 5115.0\n* src\\_name: English\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: eng-hye\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 #en #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-hye\n\n\n* source group: English\n* target group: Armenian\n* OPUS readme: eng-hye\n* model: transformer-align\n* source language(s): eng\n* target language(s): hye\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.404", "### System Info:\n\n\n* hf\\_name: eng-hye\n* source\\_languages: eng\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hy']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\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: eng\n* tgt\\_alpha3: hye\n* short\\_pair: en-hy\n* chrF2\\_score: 0.40399999999999997\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 5115.0\n* src\\_name: English\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: eng-hye\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 133, 421 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #hy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-hye\n\n\n* source group: English\n* target group: Armenian\n* OPUS readme: eng-hye\n* model: transformer-align\n* source language(s): eng\n* target language(s): hye\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 16.6, chr-F: 0.404### System Info:\n\n\n* hf\\_name: eng-hye\n* source\\_languages: eng\n* target\\_languages: hye\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'hy']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'hye', 'hye\\_Latn'}\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: eng\n* tgt\\_alpha3: hye\n* short\\_pair: en-hy\n* chrF2\\_score: 0.40399999999999997\n* bleu: 16.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 5115.0\n* src\\_name: English\n* tgt\\_name: Armenian\n* train\\_date: 2020-06-16\n* src\\_alpha2: en\n* tgt\\_alpha2: hy\n* prefer\\_old: False\n* long\\_pair: eng-hye\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-en-id * source languages: en * target languages: id * OPUS readme: [en-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.id \| 38.3 \| 0.636 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-id	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-id * source languages: en * target languages: id * OPUS readme: en-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: 38.3, chr-F: 0.636	[ "### opus-mt-en-id\n\n\n* source languages: en\n* target languages: id\n* OPUS readme: en-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: 38.3, chr-F: 0.636" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-id\n\n\n* source languages: en\n* target languages: id\n* OPUS readme: en-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: 38.3, chr-F: 0.636" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-id\n\n\n* source languages: en\n* target languages: id\n* OPUS readme: en-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: 38.3, chr-F: 0.636" ]
translation	transformers	### opus-mt-en-ig * source languages: en * target languages: ig * OPUS readme: [en-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ig \| 39.5 \| 0.546 \| \| Tatoeba.en.ig \| 3.8 \| 0.297 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ig	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ig * source languages: en * target languages: ig * OPUS readme: en-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: 39.5, chr-F: 0.546 testset: URL, BLEU: 3.8, chr-F: 0.297	[ "### opus-mt-en-ig\n\n\n* source languages: en\n* target languages: ig\n* OPUS readme: en-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: 39.5, chr-F: 0.546\ntestset: URL, BLEU: 3.8, chr-F: 0.297" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ig\n\n\n* source languages: en\n* target languages: ig\n* OPUS readme: en-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: 39.5, chr-F: 0.546\ntestset: URL, BLEU: 3.8, chr-F: 0.297" ]	[ 52, 131 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ig\n\n\n* source languages: en\n* target languages: ig\n* OPUS readme: en-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: 39.5, chr-F: 0.546\ntestset: URL, BLEU: 3.8, chr-F: 0.297" ]
translation	transformers	### eng-iir * source group: English * target group: Indo-Iranian languages * OPUS readme: [eng-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md) * model: transformer * source language(s): eng * target language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd zza * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-enghin.eng.hin \| 6.7 \| 0.326 \| \| newsdev2019-engu-engguj.eng.guj \| 6.0 \| 0.283 \| \| newstest2014-hien-enghin.eng.hin \| 10.4 \| 0.353 \| \| newstest2019-engu-engguj.eng.guj \| 6.6 \| 0.282 \| \| Tatoeba-test.eng-asm.eng.asm \| 2.7 \| 0.249 \| \| Tatoeba-test.eng-awa.eng.awa \| 0.4 \| 0.122 \| \| Tatoeba-test.eng-ben.eng.ben \| 15.3 \| 0.459 \| \| Tatoeba-test.eng-bho.eng.bho \| 3.7 \| 0.161 \| \| Tatoeba-test.eng-fas.eng.fas \| 3.4 \| 0.227 \| \| Tatoeba-test.eng-guj.eng.guj \| 18.5 \| 0.365 \| \| Tatoeba-test.eng-hif.eng.hif \| 1.0 \| 0.064 \| \| Tatoeba-test.eng-hin.eng.hin \| 17.0 \| 0.461 \| \| Tatoeba-test.eng-jdt.eng.jdt \| 3.9 \| 0.122 \| \| Tatoeba-test.eng-kok.eng.kok \| 5.5 \| 0.059 \| \| Tatoeba-test.eng-kur.eng.kur \| 4.0 \| 0.125 \| \| Tatoeba-test.eng-lah.eng.lah \| 0.3 \| 0.008 \| \| Tatoeba-test.eng-mai.eng.mai \| 9.3 \| 0.445 \| \| Tatoeba-test.eng-mar.eng.mar \| 20.7 \| 0.473 \| \| Tatoeba-test.eng.multi \| 13.7 \| 0.392 \| \| Tatoeba-test.eng-nep.eng.nep \| 0.6 \| 0.060 \| \| Tatoeba-test.eng-ori.eng.ori \| 2.4 \| 0.193 \| \| Tatoeba-test.eng-oss.eng.oss \| 2.1 \| 0.174 \| \| Tatoeba-test.eng-pan.eng.pan \| 9.7 \| 0.355 \| \| Tatoeba-test.eng-pus.eng.pus \| 1.0 \| 0.126 \| \| Tatoeba-test.eng-rom.eng.rom \| 1.3 \| 0.230 \| \| Tatoeba-test.eng-san.eng.san \| 1.3 \| 0.101 \| \| Tatoeba-test.eng-sin.eng.sin \| 11.7 \| 0.384 \| \| Tatoeba-test.eng-snd.eng.snd \| 2.8 \| 0.180 \| \| Tatoeba-test.eng-tgk.eng.tgk \| 8.1 \| 0.353 \| \| Tatoeba-test.eng-tly.eng.tly \| 0.5 \| 0.015 \| \| Tatoeba-test.eng-urd.eng.urd \| 12.3 \| 0.409 \| \| Tatoeba-test.eng-zza.eng.zza \| 0.5 \| 0.025 \| ### System Info: - hf_name: eng-iir - source_languages: eng - target_languages: iir - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir'] - src_constituents: {'eng'} - tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: iir - short_pair: en-iir - chrF2_score: 0.392 - bleu: 13.7 - brevity_penalty: 1.0 - ref_len: 63351.0 - src_name: English - tgt_name: Indo-Iranian languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: iir - prefer_old: False - long_pair: eng-iir - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-iir	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-iir * source group: English * target group: Indo-Iranian languages * OPUS readme: eng-iir * model: transformer * source language(s): eng * target language(s): asm awa ben bho gom guj hif\_Latn hin jdt\_Cyrl kur\_Arab kur\_Latn mai mar npi ori oss pan\_Guru pes pes\_Latn pes\_Thaa pnb pus rom san\_Deva sin snd\_Arab tgk\_Cyrl tly\_Latn urd zza * 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: 6.7, chr-F: 0.326 testset: URL, BLEU: 6.0, chr-F: 0.283 testset: URL, BLEU: 10.4, chr-F: 0.353 testset: URL, BLEU: 6.6, chr-F: 0.282 testset: URL, BLEU: 2.7, chr-F: 0.249 testset: URL, BLEU: 0.4, chr-F: 0.122 testset: URL, BLEU: 15.3, chr-F: 0.459 testset: URL, BLEU: 3.7, chr-F: 0.161 testset: URL, BLEU: 3.4, chr-F: 0.227 testset: URL, BLEU: 18.5, chr-F: 0.365 testset: URL, BLEU: 1.0, chr-F: 0.064 testset: URL, BLEU: 17.0, chr-F: 0.461 testset: URL, BLEU: 3.9, chr-F: 0.122 testset: URL, BLEU: 5.5, chr-F: 0.059 testset: URL, BLEU: 4.0, chr-F: 0.125 testset: URL, BLEU: 0.3, chr-F: 0.008 testset: URL, BLEU: 9.3, chr-F: 0.445 testset: URL, BLEU: 20.7, chr-F: 0.473 testset: URL, BLEU: 13.7, chr-F: 0.392 testset: URL, BLEU: 0.6, chr-F: 0.060 testset: URL, BLEU: 2.4, chr-F: 0.193 testset: URL, BLEU: 2.1, chr-F: 0.174 testset: URL, BLEU: 9.7, chr-F: 0.355 testset: URL, BLEU: 1.0, chr-F: 0.126 testset: URL, BLEU: 1.3, chr-F: 0.230 testset: URL, BLEU: 1.3, chr-F: 0.101 testset: URL, BLEU: 11.7, chr-F: 0.384 testset: URL, BLEU: 2.8, chr-F: 0.180 testset: URL, BLEU: 8.1, chr-F: 0.353 testset: URL, BLEU: 0.5, chr-F: 0.015 testset: URL, BLEU: 12.3, chr-F: 0.409 testset: URL, BLEU: 0.5, chr-F: 0.025 ### System Info: * hf\_name: eng-iir * source\_languages: eng * target\_languages: iir * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir'] * src\_constituents: {'eng'} * tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: iir * short\_pair: en-iir * chrF2\_score: 0.392 * bleu: 13.7 * brevity\_penalty: 1.0 * ref\_len: 63351.0 * src\_name: English * tgt\_name: Indo-Iranian languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: iir * prefer\_old: False * long\_pair: eng-iir * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-iir\n\n\n* source group: English\n* target group: Indo-Iranian languages\n* OPUS readme: eng-iir\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\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: 6.7, chr-F: 0.326\ntestset: URL, BLEU: 6.0, chr-F: 0.283\ntestset: URL, BLEU: 10.4, chr-F: 0.353\ntestset: URL, BLEU: 6.6, chr-F: 0.282\ntestset: URL, BLEU: 2.7, chr-F: 0.249\ntestset: URL, BLEU: 0.4, chr-F: 0.122\ntestset: URL, BLEU: 15.3, chr-F: 0.459\ntestset: URL, BLEU: 3.7, chr-F: 0.161\ntestset: URL, BLEU: 3.4, chr-F: 0.227\ntestset: URL, BLEU: 18.5, chr-F: 0.365\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 17.0, chr-F: 0.461\ntestset: URL, BLEU: 3.9, chr-F: 0.122\ntestset: URL, BLEU: 5.5, chr-F: 0.059\ntestset: URL, BLEU: 4.0, chr-F: 0.125\ntestset: URL, BLEU: 0.3, chr-F: 0.008\ntestset: URL, BLEU: 9.3, chr-F: 0.445\ntestset: URL, BLEU: 20.7, chr-F: 0.473\ntestset: URL, BLEU: 13.7, chr-F: 0.392\ntestset: URL, BLEU: 0.6, chr-F: 0.060\ntestset: URL, BLEU: 2.4, chr-F: 0.193\ntestset: URL, BLEU: 2.1, chr-F: 0.174\ntestset: URL, BLEU: 9.7, chr-F: 0.355\ntestset: URL, BLEU: 1.0, chr-F: 0.126\ntestset: URL, BLEU: 1.3, chr-F: 0.230\ntestset: URL, BLEU: 1.3, chr-F: 0.101\ntestset: URL, BLEU: 11.7, chr-F: 0.384\ntestset: URL, BLEU: 2.8, chr-F: 0.180\ntestset: URL, BLEU: 8.1, chr-F: 0.353\ntestset: URL, BLEU: 0.5, chr-F: 0.015\ntestset: URL, BLEU: 12.3, chr-F: 0.409\ntestset: URL, BLEU: 0.5, chr-F: 0.025", "### System Info:\n\n\n* hf\\_name: eng-iir\n* source\\_languages: eng\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: iir\n* short\\_pair: en-iir\n* chrF2\\_score: 0.392\n* bleu: 13.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 63351.0\n* src\\_name: English\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: eng-iir\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 #en #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-iir\n\n\n* source group: English\n* target group: Indo-Iranian languages\n* OPUS readme: eng-iir\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\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: 6.7, chr-F: 0.326\ntestset: URL, BLEU: 6.0, chr-F: 0.283\ntestset: URL, BLEU: 10.4, chr-F: 0.353\ntestset: URL, BLEU: 6.6, chr-F: 0.282\ntestset: URL, BLEU: 2.7, chr-F: 0.249\ntestset: URL, BLEU: 0.4, chr-F: 0.122\ntestset: URL, BLEU: 15.3, chr-F: 0.459\ntestset: URL, BLEU: 3.7, chr-F: 0.161\ntestset: URL, BLEU: 3.4, chr-F: 0.227\ntestset: URL, BLEU: 18.5, chr-F: 0.365\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 17.0, chr-F: 0.461\ntestset: URL, BLEU: 3.9, chr-F: 0.122\ntestset: URL, BLEU: 5.5, chr-F: 0.059\ntestset: URL, BLEU: 4.0, chr-F: 0.125\ntestset: URL, BLEU: 0.3, chr-F: 0.008\ntestset: URL, BLEU: 9.3, chr-F: 0.445\ntestset: URL, BLEU: 20.7, chr-F: 0.473\ntestset: URL, BLEU: 13.7, chr-F: 0.392\ntestset: URL, BLEU: 0.6, chr-F: 0.060\ntestset: URL, BLEU: 2.4, chr-F: 0.193\ntestset: URL, BLEU: 2.1, chr-F: 0.174\ntestset: URL, BLEU: 9.7, chr-F: 0.355\ntestset: URL, BLEU: 1.0, chr-F: 0.126\ntestset: URL, BLEU: 1.3, chr-F: 0.230\ntestset: URL, BLEU: 1.3, chr-F: 0.101\ntestset: URL, BLEU: 11.7, chr-F: 0.384\ntestset: URL, BLEU: 2.8, chr-F: 0.180\ntestset: URL, BLEU: 8.1, chr-F: 0.353\ntestset: URL, BLEU: 0.5, chr-F: 0.015\ntestset: URL, BLEU: 12.3, chr-F: 0.409\ntestset: URL, BLEU: 0.5, chr-F: 0.025", "### System Info:\n\n\n* hf\\_name: eng-iir\n* source\\_languages: eng\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: iir\n* short\\_pair: en-iir\n* chrF2\\_score: 0.392\n* bleu: 13.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 63351.0\n* src\\_name: English\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: eng-iir\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 72, 953, 626 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-iir\n\n\n* source group: English\n* target group: Indo-Iranian languages\n* OPUS readme: eng-iir\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\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: 6.7, chr-F: 0.326\ntestset: URL, BLEU: 6.0, chr-F: 0.283\ntestset: URL, BLEU: 10.4, chr-F: 0.353\ntestset: URL, BLEU: 6.6, chr-F: 0.282\ntestset: URL, BLEU: 2.7, chr-F: 0.249\ntestset: URL, BLEU: 0.4, chr-F: 0.122\ntestset: URL, BLEU: 15.3, chr-F: 0.459\ntestset: URL, BLEU: 3.7, chr-F: 0.161\ntestset: URL, BLEU: 3.4, chr-F: 0.227\ntestset: URL, BLEU: 18.5, chr-F: 0.365\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 17.0, chr-F: 0.461\ntestset: URL, BLEU: 3.9, chr-F: 0.122\ntestset: URL, BLEU: 5.5, chr-F: 0.059\ntestset: URL, BLEU: 4.0, chr-F: 0.125\ntestset: URL, BLEU: 0.3, chr-F: 0.008\ntestset: URL, BLEU: 9.3, chr-F: 0.445\ntestset: URL, BLEU: 20.7, chr-F: 0.473\ntestset: URL, BLEU: 13.7, chr-F: 0.392\ntestset: URL, BLEU: 0.6, chr-F: 0.060\ntestset: URL, BLEU: 2.4, chr-F: 0.193\ntestset: URL, BLEU: 2.1, chr-F: 0.174\ntestset: URL, BLEU: 9.7, chr-F: 0.355\ntestset: URL, BLEU: 1.0, chr-F: 0.126\ntestset: URL, BLEU: 1.3, chr-F: 0.230\ntestset: URL, BLEU: 1.3, chr-F: 0.101\ntestset: URL, BLEU: 11.7, chr-F: 0.384\ntestset: URL, BLEU: 2.8, chr-F: 0.180\ntestset: URL, BLEU: 8.1, chr-F: 0.353\ntestset: URL, BLEU: 0.5, chr-F: 0.015\ntestset: URL, BLEU: 12.3, chr-F: 0.409\ntestset: URL, BLEU: 0.5, chr-F: 0.025### System Info:\n\n\n* hf\\_name: eng-iir\n* source\\_languages: eng\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: iir\n* short\\_pair: en-iir\n* chrF2\\_score: 0.392\n* bleu: 13.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 63351.0\n* src\\_name: English\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: eng-iir\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-en-ilo * source languages: en * target languages: ilo * OPUS readme: [en-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.ilo \| 33.2 \| 0.584 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ilo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ilo * source languages: en * target languages: ilo * OPUS readme: en-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: 33.2, chr-F: 0.584	[ "### opus-mt-en-ilo\n\n\n* source languages: en\n* target languages: ilo\n* OPUS readme: en-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: 33.2, chr-F: 0.584" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ilo\n\n\n* source languages: en\n* target languages: ilo\n* OPUS readme: en-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: 33.2, chr-F: 0.584" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ilo\n\n\n* source languages: en\n* target languages: ilo\n* OPUS readme: en-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: 33.2, chr-F: 0.584" ]
translation	transformers	### eng-inc * source group: English * target group: Indic languages * OPUS readme: [eng-inc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md) * model: transformer * source language(s): eng * target language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-enghin.eng.hin \| 8.2 \| 0.342 \| \| newsdev2019-engu-engguj.eng.guj \| 6.5 \| 0.293 \| \| newstest2014-hien-enghin.eng.hin \| 11.4 \| 0.364 \| \| newstest2019-engu-engguj.eng.guj \| 7.2 \| 0.296 \| \| Tatoeba-test.eng-asm.eng.asm \| 2.7 \| 0.277 \| \| Tatoeba-test.eng-awa.eng.awa \| 0.5 \| 0.132 \| \| Tatoeba-test.eng-ben.eng.ben \| 16.7 \| 0.470 \| \| Tatoeba-test.eng-bho.eng.bho \| 4.3 \| 0.227 \| \| Tatoeba-test.eng-guj.eng.guj \| 17.5 \| 0.373 \| \| Tatoeba-test.eng-hif.eng.hif \| 0.6 \| 0.028 \| \| Tatoeba-test.eng-hin.eng.hin \| 17.7 \| 0.469 \| \| Tatoeba-test.eng-kok.eng.kok \| 1.7 \| 0.000 \| \| Tatoeba-test.eng-lah.eng.lah \| 0.3 \| 0.028 \| \| Tatoeba-test.eng-mai.eng.mai \| 15.6 \| 0.429 \| \| Tatoeba-test.eng-mar.eng.mar \| 21.3 \| 0.477 \| \| Tatoeba-test.eng.multi \| 17.3 \| 0.448 \| \| Tatoeba-test.eng-nep.eng.nep \| 0.8 \| 0.081 \| \| Tatoeba-test.eng-ori.eng.ori \| 2.2 \| 0.208 \| \| Tatoeba-test.eng-pan.eng.pan \| 8.0 \| 0.347 \| \| Tatoeba-test.eng-rom.eng.rom \| 0.4 \| 0.197 \| \| Tatoeba-test.eng-san.eng.san \| 0.5 \| 0.108 \| \| Tatoeba-test.eng-sin.eng.sin \| 9.1 \| 0.364 \| \| Tatoeba-test.eng-snd.eng.snd \| 4.4 \| 0.284 \| \| Tatoeba-test.eng-urd.eng.urd \| 13.3 \| 0.423 \| ### System Info: - hf_name: eng-inc - source_languages: eng - target_languages: inc - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc'] - src_constituents: {'eng'} - tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: inc - short_pair: en-inc - chrF2_score: 0.44799999999999995 - bleu: 17.3 - brevity_penalty: 1.0 - ref_len: 59917.0 - src_name: English - tgt_name: Indic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: inc - prefer_old: False - long_pair: eng-inc - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-inc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-inc * source group: English * target group: Indic languages * OPUS readme: eng-inc * model: transformer * source language(s): eng * target language(s): asm awa ben bho gom guj hif\_Latn hin mai mar npi ori pan\_Guru pnb rom san\_Deva sin snd\_Arab urd * 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: 8.2, chr-F: 0.342 testset: URL, BLEU: 6.5, chr-F: 0.293 testset: URL, BLEU: 11.4, chr-F: 0.364 testset: URL, BLEU: 7.2, chr-F: 0.296 testset: URL, BLEU: 2.7, chr-F: 0.277 testset: URL, BLEU: 0.5, chr-F: 0.132 testset: URL, BLEU: 16.7, chr-F: 0.470 testset: URL, BLEU: 4.3, chr-F: 0.227 testset: URL, BLEU: 17.5, chr-F: 0.373 testset: URL, BLEU: 0.6, chr-F: 0.028 testset: URL, BLEU: 17.7, chr-F: 0.469 testset: URL, BLEU: 1.7, chr-F: 0.000 testset: URL, BLEU: 0.3, chr-F: 0.028 testset: URL, BLEU: 15.6, chr-F: 0.429 testset: URL, BLEU: 21.3, chr-F: 0.477 testset: URL, BLEU: 17.3, chr-F: 0.448 testset: URL, BLEU: 0.8, chr-F: 0.081 testset: URL, BLEU: 2.2, chr-F: 0.208 testset: URL, BLEU: 8.0, chr-F: 0.347 testset: URL, BLEU: 0.4, chr-F: 0.197 testset: URL, BLEU: 0.5, chr-F: 0.108 testset: URL, BLEU: 9.1, chr-F: 0.364 testset: URL, BLEU: 4.4, chr-F: 0.284 testset: URL, BLEU: 13.3, chr-F: 0.423 ### System Info: * hf\_name: eng-inc * source\_languages: eng * target\_languages: inc * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc'] * src\_constituents: {'eng'} * tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: inc * short\_pair: en-inc * chrF2\_score: 0.44799999999999995 * bleu: 17.3 * brevity\_penalty: 1.0 * ref\_len: 59917.0 * src\_name: English * tgt\_name: Indic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: inc * prefer\_old: False * long\_pair: eng-inc * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-inc\n\n\n* source group: English\n* target group: Indic languages\n* OPUS readme: eng-inc\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\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: 8.2, chr-F: 0.342\ntestset: URL, BLEU: 6.5, chr-F: 0.293\ntestset: URL, BLEU: 11.4, chr-F: 0.364\ntestset: URL, BLEU: 7.2, chr-F: 0.296\ntestset: URL, BLEU: 2.7, chr-F: 0.277\ntestset: URL, BLEU: 0.5, chr-F: 0.132\ntestset: URL, BLEU: 16.7, chr-F: 0.470\ntestset: URL, BLEU: 4.3, chr-F: 0.227\ntestset: URL, BLEU: 17.5, chr-F: 0.373\ntestset: URL, BLEU: 0.6, chr-F: 0.028\ntestset: URL, BLEU: 17.7, chr-F: 0.469\ntestset: URL, BLEU: 1.7, chr-F: 0.000\ntestset: URL, BLEU: 0.3, chr-F: 0.028\ntestset: URL, BLEU: 15.6, chr-F: 0.429\ntestset: URL, BLEU: 21.3, chr-F: 0.477\ntestset: URL, BLEU: 17.3, chr-F: 0.448\ntestset: URL, BLEU: 0.8, chr-F: 0.081\ntestset: URL, BLEU: 2.2, chr-F: 0.208\ntestset: URL, BLEU: 8.0, chr-F: 0.347\ntestset: URL, BLEU: 0.4, chr-F: 0.197\ntestset: URL, BLEU: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 9.1, chr-F: 0.364\ntestset: URL, BLEU: 4.4, chr-F: 0.284\ntestset: URL, BLEU: 13.3, chr-F: 0.423", "### System Info:\n\n\n* hf\\_name: eng-inc\n* source\\_languages: eng\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: inc\n* short\\_pair: en-inc\n* chrF2\\_score: 0.44799999999999995\n* bleu: 17.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 59917.0\n* src\\_name: English\n* tgt\\_name: Indic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: eng-inc\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 #en #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-inc\n\n\n* source group: English\n* target group: Indic languages\n* OPUS readme: eng-inc\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\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: 8.2, chr-F: 0.342\ntestset: URL, BLEU: 6.5, chr-F: 0.293\ntestset: URL, BLEU: 11.4, chr-F: 0.364\ntestset: URL, BLEU: 7.2, chr-F: 0.296\ntestset: URL, BLEU: 2.7, chr-F: 0.277\ntestset: URL, BLEU: 0.5, chr-F: 0.132\ntestset: URL, BLEU: 16.7, chr-F: 0.470\ntestset: URL, BLEU: 4.3, chr-F: 0.227\ntestset: URL, BLEU: 17.5, chr-F: 0.373\ntestset: URL, BLEU: 0.6, chr-F: 0.028\ntestset: URL, BLEU: 17.7, chr-F: 0.469\ntestset: URL, BLEU: 1.7, chr-F: 0.000\ntestset: URL, BLEU: 0.3, chr-F: 0.028\ntestset: URL, BLEU: 15.6, chr-F: 0.429\ntestset: URL, BLEU: 21.3, chr-F: 0.477\ntestset: URL, BLEU: 17.3, chr-F: 0.448\ntestset: URL, BLEU: 0.8, chr-F: 0.081\ntestset: URL, BLEU: 2.2, chr-F: 0.208\ntestset: URL, BLEU: 8.0, chr-F: 0.347\ntestset: URL, BLEU: 0.4, chr-F: 0.197\ntestset: URL, BLEU: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 9.1, chr-F: 0.364\ntestset: URL, BLEU: 4.4, chr-F: 0.284\ntestset: URL, BLEU: 13.3, chr-F: 0.423", "### System Info:\n\n\n* hf\\_name: eng-inc\n* source\\_languages: eng\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: inc\n* short\\_pair: en-inc\n* chrF2\\_score: 0.44799999999999995\n* bleu: 17.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 59917.0\n* src\\_name: English\n* tgt\\_name: Indic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: eng-inc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 67, 719, 538 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-inc\n\n\n* source group: English\n* target group: Indic languages\n* OPUS readme: eng-inc\n* model: transformer\n* source language(s): eng\n* target language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\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: 8.2, chr-F: 0.342\ntestset: URL, BLEU: 6.5, chr-F: 0.293\ntestset: URL, BLEU: 11.4, chr-F: 0.364\ntestset: URL, BLEU: 7.2, chr-F: 0.296\ntestset: URL, BLEU: 2.7, chr-F: 0.277\ntestset: URL, BLEU: 0.5, chr-F: 0.132\ntestset: URL, BLEU: 16.7, chr-F: 0.470\ntestset: URL, BLEU: 4.3, chr-F: 0.227\ntestset: URL, BLEU: 17.5, chr-F: 0.373\ntestset: URL, BLEU: 0.6, chr-F: 0.028\ntestset: URL, BLEU: 17.7, chr-F: 0.469\ntestset: URL, BLEU: 1.7, chr-F: 0.000\ntestset: URL, BLEU: 0.3, chr-F: 0.028\ntestset: URL, BLEU: 15.6, chr-F: 0.429\ntestset: URL, BLEU: 21.3, chr-F: 0.477\ntestset: URL, BLEU: 17.3, chr-F: 0.448\ntestset: URL, BLEU: 0.8, chr-F: 0.081\ntestset: URL, BLEU: 2.2, chr-F: 0.208\ntestset: URL, BLEU: 8.0, chr-F: 0.347\ntestset: URL, BLEU: 0.4, chr-F: 0.197\ntestset: URL, BLEU: 0.5, chr-F: 0.108\ntestset: URL, BLEU: 9.1, chr-F: 0.364\ntestset: URL, BLEU: 4.4, chr-F: 0.284\ntestset: URL, BLEU: 13.3, chr-F: 0.423### System Info:\n\n\n* hf\\_name: eng-inc\n* source\\_languages: eng\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: inc\n* short\\_pair: en-inc\n* chrF2\\_score: 0.44799999999999995\n* bleu: 17.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 59917.0\n* src\\_name: English\n* tgt\\_name: Indic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: eng-inc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### eng-ine * source group: English * target group: Indo-European languages * OPUS readme: [eng-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md) * model: transformer * source language(s): eng * target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-enghin.eng.hin \| 6.2 \| 0.317 \| \| newsdev2016-enro-engron.eng.ron \| 22.1 \| 0.525 \| \| newsdev2017-enlv-englav.eng.lav \| 17.4 \| 0.486 \| \| newsdev2019-engu-engguj.eng.guj \| 6.5 \| 0.303 \| \| newsdev2019-enlt-englit.eng.lit \| 14.9 \| 0.476 \| \| newsdiscussdev2015-enfr-engfra.eng.fra \| 26.4 \| 0.547 \| \| newsdiscusstest2015-enfr-engfra.eng.fra \| 30.0 \| 0.575 \| \| newssyscomb2009-engces.eng.ces \| 14.7 \| 0.442 \| \| newssyscomb2009-engdeu.eng.deu \| 16.7 \| 0.487 \| \| newssyscomb2009-engfra.eng.fra \| 24.8 \| 0.547 \| \| newssyscomb2009-engita.eng.ita \| 25.2 \| 0.562 \| \| newssyscomb2009-engspa.eng.spa \| 27.0 \| 0.554 \| \| news-test2008-engces.eng.ces \| 13.0 \| 0.417 \| \| news-test2008-engdeu.eng.deu \| 17.4 \| 0.480 \| \| news-test2008-engfra.eng.fra \| 22.3 \| 0.519 \| \| news-test2008-engspa.eng.spa \| 24.9 \| 0.532 \| \| newstest2009-engces.eng.ces \| 13.6 \| 0.432 \| \| newstest2009-engdeu.eng.deu \| 16.6 \| 0.482 \| \| newstest2009-engfra.eng.fra \| 23.5 \| 0.535 \| \| newstest2009-engita.eng.ita \| 25.5 \| 0.561 \| \| newstest2009-engspa.eng.spa \| 26.3 \| 0.551 \| \| newstest2010-engces.eng.ces \| 14.2 \| 0.436 \| \| newstest2010-engdeu.eng.deu \| 18.3 \| 0.492 \| \| newstest2010-engfra.eng.fra \| 25.7 \| 0.550 \| \| newstest2010-engspa.eng.spa \| 30.5 \| 0.578 \| \| newstest2011-engces.eng.ces \| 15.1 \| 0.439 \| \| newstest2011-engdeu.eng.deu \| 17.1 \| 0.478 \| \| newstest2011-engfra.eng.fra \| 28.0 \| 0.569 \| \| newstest2011-engspa.eng.spa \| 31.9 \| 0.580 \| \| newstest2012-engces.eng.ces \| 13.6 \| 0.418 \| \| newstest2012-engdeu.eng.deu \| 17.0 \| 0.475 \| \| newstest2012-engfra.eng.fra \| 26.1 \| 0.553 \| \| newstest2012-engrus.eng.rus \| 21.4 \| 0.506 \| \| newstest2012-engspa.eng.spa \| 31.4 \| 0.577 \| \| newstest2013-engces.eng.ces \| 15.3 \| 0.438 \| \| newstest2013-engdeu.eng.deu \| 20.3 \| 0.501 \| \| newstest2013-engfra.eng.fra \| 26.0 \| 0.540 \| \| newstest2013-engrus.eng.rus \| 16.1 \| 0.449 \| \| newstest2013-engspa.eng.spa \| 28.6 \| 0.555 \| \| newstest2014-hien-enghin.eng.hin \| 9.5 \| 0.344 \| \| newstest2015-encs-engces.eng.ces \| 14.8 \| 0.440 \| \| newstest2015-ende-engdeu.eng.deu \| 22.6 \| 0.523 \| \| newstest2015-enru-engrus.eng.rus \| 18.8 \| 0.483 \| \| newstest2016-encs-engces.eng.ces \| 16.8 \| 0.457 \| \| newstest2016-ende-engdeu.eng.deu \| 26.2 \| 0.555 \| \| newstest2016-enro-engron.eng.ron \| 21.2 \| 0.510 \| \| newstest2016-enru-engrus.eng.rus \| 17.6 \| 0.471 \| \| newstest2017-encs-engces.eng.ces \| 13.6 \| 0.421 \| \| newstest2017-ende-engdeu.eng.deu \| 21.5 \| 0.516 \| \| newstest2017-enlv-englav.eng.lav \| 13.0 \| 0.452 \| \| newstest2017-enru-engrus.eng.rus \| 18.7 \| 0.486 \| \| newstest2018-encs-engces.eng.ces \| 13.5 \| 0.425 \| \| newstest2018-ende-engdeu.eng.deu \| 29.8 \| 0.581 \| \| newstest2018-enru-engrus.eng.rus \| 16.1 \| 0.472 \| \| newstest2019-encs-engces.eng.ces \| 14.8 \| 0.435 \| \| newstest2019-ende-engdeu.eng.deu \| 26.6 \| 0.554 \| \| newstest2019-engu-engguj.eng.guj \| 6.9 \| 0.313 \| \| newstest2019-enlt-englit.eng.lit \| 10.6 \| 0.429 \| \| newstest2019-enru-engrus.eng.rus \| 17.5 \| 0.452 \| \| Tatoeba-test.eng-afr.eng.afr \| 52.1 \| 0.708 \| \| Tatoeba-test.eng-ang.eng.ang \| 5.1 \| 0.131 \| \| Tatoeba-test.eng-arg.eng.arg \| 1.2 \| 0.099 \| \| Tatoeba-test.eng-asm.eng.asm \| 2.9 \| 0.259 \| \| Tatoeba-test.eng-ast.eng.ast \| 14.1 \| 0.408 \| \| Tatoeba-test.eng-awa.eng.awa \| 0.3 \| 0.002 \| \| Tatoeba-test.eng-bel.eng.bel \| 18.1 \| 0.450 \| \| Tatoeba-test.eng-ben.eng.ben \| 13.5 \| 0.432 \| \| Tatoeba-test.eng-bho.eng.bho \| 0.3 \| 0.003 \| \| Tatoeba-test.eng-bre.eng.bre \| 10.4 \| 0.318 \| \| Tatoeba-test.eng-bul.eng.bul \| 38.7 \| 0.592 \| \| Tatoeba-test.eng-cat.eng.cat \| 42.0 \| 0.633 \| \| Tatoeba-test.eng-ces.eng.ces \| 32.3 \| 0.546 \| \| Tatoeba-test.eng-cor.eng.cor \| 0.5 \| 0.079 \| \| Tatoeba-test.eng-cos.eng.cos \| 3.1 \| 0.148 \| \| Tatoeba-test.eng-csb.eng.csb \| 1.4 \| 0.216 \| \| Tatoeba-test.eng-cym.eng.cym \| 22.4 \| 0.470 \| \| Tatoeba-test.eng-dan.eng.dan \| 49.7 \| 0.671 \| \| Tatoeba-test.eng-deu.eng.deu \| 31.7 \| 0.554 \| \| Tatoeba-test.eng-dsb.eng.dsb \| 1.1 \| 0.139 \| \| Tatoeba-test.eng-egl.eng.egl \| 0.9 \| 0.089 \| \| Tatoeba-test.eng-ell.eng.ell \| 42.7 \| 0.640 \| \| Tatoeba-test.eng-enm.eng.enm \| 3.5 \| 0.259 \| \| Tatoeba-test.eng-ext.eng.ext \| 6.4 \| 0.235 \| \| Tatoeba-test.eng-fao.eng.fao \| 6.6 \| 0.285 \| \| Tatoeba-test.eng-fas.eng.fas \| 5.7 \| 0.257 \| \| Tatoeba-test.eng-fra.eng.fra \| 38.4 \| 0.595 \| \| Tatoeba-test.eng-frm.eng.frm \| 0.9 \| 0.149 \| \| Tatoeba-test.eng-frr.eng.frr \| 8.4 \| 0.145 \| \| Tatoeba-test.eng-fry.eng.fry \| 16.5 \| 0.411 \| \| Tatoeba-test.eng-gcf.eng.gcf \| 0.6 \| 0.098 \| \| Tatoeba-test.eng-gla.eng.gla \| 11.6 \| 0.361 \| \| Tatoeba-test.eng-gle.eng.gle \| 32.5 \| 0.546 \| \| Tatoeba-test.eng-glg.eng.glg \| 38.4 \| 0.602 \| \| Tatoeba-test.eng-glv.eng.glv \| 23.1 \| 0.418 \| \| Tatoeba-test.eng-gos.eng.gos \| 0.7 \| 0.137 \| \| Tatoeba-test.eng-got.eng.got \| 0.2 \| 0.010 \| \| Tatoeba-test.eng-grc.eng.grc \| 0.0 \| 0.005 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 0.9 \| 0.108 \| \| Tatoeba-test.eng-guj.eng.guj \| 20.8 \| 0.391 \| \| Tatoeba-test.eng-hat.eng.hat \| 34.0 \| 0.537 \| \| Tatoeba-test.eng-hbs.eng.hbs \| 33.7 \| 0.567 \| \| Tatoeba-test.eng-hif.eng.hif \| 2.8 \| 0.269 \| \| Tatoeba-test.eng-hin.eng.hin \| 15.6 \| 0.437 \| \| Tatoeba-test.eng-hsb.eng.hsb \| 5.4 \| 0.320 \| \| Tatoeba-test.eng-hye.eng.hye \| 17.4 \| 0.426 \| \| Tatoeba-test.eng-isl.eng.isl \| 17.4 \| 0.436 \| \| Tatoeba-test.eng-ita.eng.ita \| 40.4 \| 0.636 \| \| Tatoeba-test.eng-jdt.eng.jdt \| 6.4 \| 0.008 \| \| Tatoeba-test.eng-kok.eng.kok \| 6.6 \| 0.005 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 0.8 \| 0.123 \| \| Tatoeba-test.eng-kur.eng.kur \| 10.2 \| 0.209 \| \| Tatoeba-test.eng-lad.eng.lad \| 0.8 \| 0.163 \| \| Tatoeba-test.eng-lah.eng.lah \| 0.2 \| 0.001 \| \| Tatoeba-test.eng-lat.eng.lat \| 9.4 \| 0.372 \| \| Tatoeba-test.eng-lav.eng.lav \| 30.3 \| 0.559 \| \| Tatoeba-test.eng-lij.eng.lij \| 1.0 \| 0.130 \| \| Tatoeba-test.eng-lit.eng.lit \| 25.3 \| 0.560 \| \| Tatoeba-test.eng-lld.eng.lld \| 0.4 \| 0.139 \| \| Tatoeba-test.eng-lmo.eng.lmo \| 0.6 \| 0.108 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 18.1 \| 0.388 \| \| Tatoeba-test.eng-mai.eng.mai \| 17.2 \| 0.464 \| \| Tatoeba-test.eng-mar.eng.mar \| 18.0 \| 0.451 \| \| Tatoeba-test.eng-mfe.eng.mfe \| 81.0 \| 0.899 \| \| Tatoeba-test.eng-mkd.eng.mkd \| 37.6 \| 0.587 \| \| Tatoeba-test.eng-msa.eng.msa \| 27.7 \| 0.519 \| \| Tatoeba-test.eng.multi \| 32.6 \| 0.539 \| \| Tatoeba-test.eng-mwl.eng.mwl \| 3.8 \| 0.134 \| \| Tatoeba-test.eng-nds.eng.nds \| 14.3 \| 0.401 \| \| Tatoeba-test.eng-nep.eng.nep \| 0.5 \| 0.002 \| \| Tatoeba-test.eng-nld.eng.nld \| 44.0 \| 0.642 \| \| Tatoeba-test.eng-non.eng.non \| 0.7 \| 0.118 \| \| Tatoeba-test.eng-nor.eng.nor \| 42.7 \| 0.623 \| \| Tatoeba-test.eng-oci.eng.oci \| 7.2 \| 0.295 \| \| Tatoeba-test.eng-ori.eng.ori \| 2.7 \| 0.257 \| \| Tatoeba-test.eng-orv.eng.orv \| 0.2 \| 0.008 \| \| Tatoeba-test.eng-oss.eng.oss \| 2.9 \| 0.264 \| \| Tatoeba-test.eng-pan.eng.pan \| 7.4 \| 0.337 \| \| Tatoeba-test.eng-pap.eng.pap \| 48.5 \| 0.656 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 1.8 \| 0.145 \| \| Tatoeba-test.eng-pms.eng.pms \| 0.7 \| 0.136 \| \| Tatoeba-test.eng-pol.eng.pol \| 31.1 \| 0.563 \| \| Tatoeba-test.eng-por.eng.por \| 37.0 \| 0.605 \| \| Tatoeba-test.eng-prg.eng.prg \| 0.2 \| 0.100 \| \| Tatoeba-test.eng-pus.eng.pus \| 1.0 \| 0.134 \| \| Tatoeba-test.eng-roh.eng.roh \| 2.3 \| 0.236 \| \| Tatoeba-test.eng-rom.eng.rom \| 7.8 \| 0.340 \| \| Tatoeba-test.eng-ron.eng.ron \| 34.3 \| 0.585 \| \| Tatoeba-test.eng-rue.eng.rue \| 0.2 \| 0.010 \| \| Tatoeba-test.eng-rus.eng.rus \| 29.6 \| 0.526 \| \| Tatoeba-test.eng-san.eng.san \| 2.4 \| 0.125 \| \| Tatoeba-test.eng-scn.eng.scn \| 1.6 \| 0.079 \| \| Tatoeba-test.eng-sco.eng.sco \| 33.6 \| 0.562 \| \| Tatoeba-test.eng-sgs.eng.sgs \| 3.4 \| 0.114 \| \| Tatoeba-test.eng-sin.eng.sin \| 9.2 \| 0.349 \| \| Tatoeba-test.eng-slv.eng.slv \| 15.6 \| 0.334 \| \| Tatoeba-test.eng-snd.eng.snd \| 9.1 \| 0.324 \| \| Tatoeba-test.eng-spa.eng.spa \| 43.4 \| 0.645 \| \| Tatoeba-test.eng-sqi.eng.sqi \| 39.0 \| 0.621 \| \| Tatoeba-test.eng-stq.eng.stq \| 10.8 \| 0.373 \| \| Tatoeba-test.eng-swe.eng.swe \| 49.9 \| 0.663 \| \| Tatoeba-test.eng-swg.eng.swg \| 0.7 \| 0.137 \| \| Tatoeba-test.eng-tgk.eng.tgk \| 6.4 \| 0.346 \| \| Tatoeba-test.eng-tly.eng.tly \| 0.5 \| 0.055 \| \| Tatoeba-test.eng-ukr.eng.ukr \| 31.4 \| 0.536 \| \| Tatoeba-test.eng-urd.eng.urd \| 11.1 \| 0.389 \| \| Tatoeba-test.eng-vec.eng.vec \| 1.3 \| 0.110 \| \| Tatoeba-test.eng-wln.eng.wln \| 6.8 \| 0.233 \| \| Tatoeba-test.eng-yid.eng.yid \| 5.8 \| 0.295 \| \| Tatoeba-test.eng-zza.eng.zza \| 0.8 \| 0.086 \| ### System Info: - hf_name: eng-ine - source_languages: eng - target_languages: ine - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] - src_constituents: {'eng'} - tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: ine - short_pair: en-ine - chrF2_score: 0.539 - bleu: 32.6 - brevity_penalty: 0.973 - ref_len: 68664.0 - src_name: English - tgt_name: Indo-European languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: ine - prefer_old: False - long_pair: eng-ine - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ine	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-ine * source group: English * target group: Indo-European languages * OPUS readme: eng-ine * model: transformer * source language(s): eng * target language(s): afr aln ang\_Latn arg asm ast awa bel bel\_Latn ben bho bos\_Latn bre bul bul\_Latn cat ces cor cos csb\_Latn cym dan deu dsb egl ell enm\_Latn ext fao fra frm\_Latn frr fry gcf\_Latn gla gle glg glv gom gos got\_Goth grc\_Grek gsw guj hat hif\_Latn hin hrv hsb hye ind isl ita jdt\_Cyrl ksh kur\_Arab kur\_Latn lad lad\_Latn lat\_Latn lav lij lit lld\_Latn lmo ltg ltz mai mar max\_Latn mfe min mkd mwl nds nld nno nob nob\_Hebr non\_Latn npi oci ori orv\_Cyrl oss pan\_Guru pap pdc pes pes\_Latn pes\_Thaa pms pnb pol por prg\_Latn pus roh rom ron rue rus san\_Deva scn sco sgs sin slv snd\_Arab spa sqi srp\_Cyrl srp\_Latn stq swe swg tgk\_Cyrl tly\_Latn tmw\_Latn ukr urd vec wln yid zlm\_Latn zsm\_Latn zza * 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: 6.2, chr-F: 0.317 testset: URL, BLEU: 22.1, chr-F: 0.525 testset: URL, BLEU: 17.4, chr-F: 0.486 testset: URL, BLEU: 6.5, chr-F: 0.303 testset: URL, BLEU: 14.9, chr-F: 0.476 testset: URL, BLEU: 26.4, chr-F: 0.547 testset: URL, BLEU: 30.0, chr-F: 0.575 testset: URL, BLEU: 14.7, chr-F: 0.442 testset: URL, BLEU: 16.7, chr-F: 0.487 testset: URL, BLEU: 24.8, chr-F: 0.547 testset: URL, BLEU: 25.2, chr-F: 0.562 testset: URL, BLEU: 27.0, chr-F: 0.554 testset: URL, BLEU: 13.0, chr-F: 0.417 testset: URL, BLEU: 17.4, chr-F: 0.480 testset: URL, BLEU: 22.3, chr-F: 0.519 testset: URL, BLEU: 24.9, chr-F: 0.532 testset: URL, BLEU: 13.6, chr-F: 0.432 testset: URL, BLEU: 16.6, chr-F: 0.482 testset: URL, BLEU: 23.5, chr-F: 0.535 testset: URL, BLEU: 25.5, chr-F: 0.561 testset: URL, BLEU: 26.3, chr-F: 0.551 testset: URL, BLEU: 14.2, chr-F: 0.436 testset: URL, BLEU: 18.3, chr-F: 0.492 testset: URL, BLEU: 25.7, chr-F: 0.550 testset: URL, BLEU: 30.5, chr-F: 0.578 testset: URL, BLEU: 15.1, chr-F: 0.439 testset: URL, BLEU: 17.1, chr-F: 0.478 testset: URL, BLEU: 28.0, chr-F: 0.569 testset: URL, BLEU: 31.9, chr-F: 0.580 testset: URL, BLEU: 13.6, chr-F: 0.418 testset: URL, BLEU: 17.0, chr-F: 0.475 testset: URL, BLEU: 26.1, chr-F: 0.553 testset: URL, BLEU: 21.4, chr-F: 0.506 testset: URL, BLEU: 31.4, chr-F: 0.577 testset: URL, BLEU: 15.3, chr-F: 0.438 testset: URL, BLEU: 20.3, chr-F: 0.501 testset: URL, BLEU: 26.0, chr-F: 0.540 testset: URL, BLEU: 16.1, chr-F: 0.449 testset: URL, BLEU: 28.6, chr-F: 0.555 testset: URL, BLEU: 9.5, chr-F: 0.344 testset: URL, BLEU: 14.8, chr-F: 0.440 testset: URL, BLEU: 22.6, chr-F: 0.523 testset: URL, BLEU: 18.8, chr-F: 0.483 testset: URL, BLEU: 16.8, chr-F: 0.457 testset: URL, BLEU: 26.2, chr-F: 0.555 testset: URL, BLEU: 21.2, chr-F: 0.510 testset: URL, BLEU: 17.6, chr-F: 0.471 testset: URL, BLEU: 13.6, chr-F: 0.421 testset: URL, BLEU: 21.5, chr-F: 0.516 testset: URL, BLEU: 13.0, chr-F: 0.452 testset: URL, BLEU: 18.7, chr-F: 0.486 testset: URL, BLEU: 13.5, chr-F: 0.425 testset: URL, BLEU: 29.8, chr-F: 0.581 testset: URL, BLEU: 16.1, chr-F: 0.472 testset: URL, BLEU: 14.8, chr-F: 0.435 testset: URL, BLEU: 26.6, chr-F: 0.554 testset: URL, BLEU: 6.9, chr-F: 0.313 testset: URL, BLEU: 10.6, chr-F: 0.429 testset: URL, BLEU: 17.5, chr-F: 0.452 testset: URL, BLEU: 52.1, chr-F: 0.708 testset: URL, BLEU: 5.1, chr-F: 0.131 testset: URL, BLEU: 1.2, chr-F: 0.099 testset: URL, BLEU: 2.9, chr-F: 0.259 testset: URL, BLEU: 14.1, chr-F: 0.408 testset: URL, BLEU: 0.3, chr-F: 0.002 testset: URL, BLEU: 18.1, chr-F: 0.450 testset: URL, BLEU: 13.5, chr-F: 0.432 testset: URL, BLEU: 0.3, chr-F: 0.003 testset: URL, BLEU: 10.4, chr-F: 0.318 testset: URL, BLEU: 38.7, chr-F: 0.592 testset: URL, BLEU: 42.0, chr-F: 0.633 testset: URL, BLEU: 32.3, chr-F: 0.546 testset: URL, BLEU: 0.5, chr-F: 0.079 testset: URL, BLEU: 3.1, chr-F: 0.148 testset: URL, BLEU: 1.4, chr-F: 0.216 testset: URL, BLEU: 22.4, chr-F: 0.470 testset: URL, BLEU: 49.7, chr-F: 0.671 testset: URL, BLEU: 31.7, chr-F: 0.554 testset: URL, BLEU: 1.1, chr-F: 0.139 testset: URL, BLEU: 0.9, chr-F: 0.089 testset: URL, BLEU: 42.7, chr-F: 0.640 testset: URL, BLEU: 3.5, chr-F: 0.259 testset: URL, BLEU: 6.4, chr-F: 0.235 testset: URL, BLEU: 6.6, chr-F: 0.285 testset: URL, BLEU: 5.7, chr-F: 0.257 testset: URL, BLEU: 38.4, chr-F: 0.595 testset: URL, BLEU: 0.9, chr-F: 0.149 testset: URL, BLEU: 8.4, chr-F: 0.145 testset: URL, BLEU: 16.5, chr-F: 0.411 testset: URL, BLEU: 0.6, chr-F: 0.098 testset: URL, BLEU: 11.6, chr-F: 0.361 testset: URL, BLEU: 32.5, chr-F: 0.546 testset: URL, BLEU: 38.4, chr-F: 0.602 testset: URL, BLEU: 23.1, chr-F: 0.418 testset: URL, BLEU: 0.7, chr-F: 0.137 testset: URL, BLEU: 0.2, chr-F: 0.010 testset: URL, BLEU: 0.0, chr-F: 0.005 testset: URL, BLEU: 0.9, chr-F: 0.108 testset: URL, BLEU: 20.8, chr-F: 0.391 testset: URL, BLEU: 34.0, chr-F: 0.537 testset: URL, BLEU: 33.7, chr-F: 0.567 testset: URL, BLEU: 2.8, chr-F: 0.269 testset: URL, BLEU: 15.6, chr-F: 0.437 testset: URL, BLEU: 5.4, chr-F: 0.320 testset: URL, BLEU: 17.4, chr-F: 0.426 testset: URL, BLEU: 17.4, chr-F: 0.436 testset: URL, BLEU: 40.4, chr-F: 0.636 testset: URL, BLEU: 6.4, chr-F: 0.008 testset: URL, BLEU: 6.6, chr-F: 0.005 testset: URL, BLEU: 0.8, chr-F: 0.123 testset: URL, BLEU: 10.2, chr-F: 0.209 testset: URL, BLEU: 0.8, chr-F: 0.163 testset: URL, BLEU: 0.2, chr-F: 0.001 testset: URL, BLEU: 9.4, chr-F: 0.372 testset: URL, BLEU: 30.3, chr-F: 0.559 testset: URL, BLEU: 1.0, chr-F: 0.130 testset: URL, BLEU: 25.3, chr-F: 0.560 testset: URL, BLEU: 0.4, chr-F: 0.139 testset: URL, BLEU: 0.6, chr-F: 0.108 testset: URL, BLEU: 18.1, chr-F: 0.388 testset: URL, BLEU: 17.2, chr-F: 0.464 testset: URL, BLEU: 18.0, chr-F: 0.451 testset: URL, BLEU: 81.0, chr-F: 0.899 testset: URL, BLEU: 37.6, chr-F: 0.587 testset: URL, BLEU: 27.7, chr-F: 0.519 testset: URL, BLEU: 32.6, chr-F: 0.539 testset: URL, BLEU: 3.8, chr-F: 0.134 testset: URL, BLEU: 14.3, chr-F: 0.401 testset: URL, BLEU: 0.5, chr-F: 0.002 testset: URL, BLEU: 44.0, chr-F: 0.642 testset: URL, BLEU: 0.7, chr-F: 0.118 testset: URL, BLEU: 42.7, chr-F: 0.623 testset: URL, BLEU: 7.2, chr-F: 0.295 testset: URL, BLEU: 2.7, chr-F: 0.257 testset: URL, BLEU: 0.2, chr-F: 0.008 testset: URL, BLEU: 2.9, chr-F: 0.264 testset: URL, BLEU: 7.4, chr-F: 0.337 testset: URL, BLEU: 48.5, chr-F: 0.656 testset: URL, BLEU: 1.8, chr-F: 0.145 testset: URL, BLEU: 0.7, chr-F: 0.136 testset: URL, BLEU: 31.1, chr-F: 0.563 testset: URL, BLEU: 37.0, chr-F: 0.605 testset: URL, BLEU: 0.2, chr-F: 0.100 testset: URL, BLEU: 1.0, chr-F: 0.134 testset: URL, BLEU: 2.3, chr-F: 0.236 testset: URL, BLEU: 7.8, chr-F: 0.340 testset: URL, BLEU: 34.3, chr-F: 0.585 testset: URL, BLEU: 0.2, chr-F: 0.010 testset: URL, BLEU: 29.6, chr-F: 0.526 testset: URL, BLEU: 2.4, chr-F: 0.125 testset: URL, BLEU: 1.6, chr-F: 0.079 testset: URL, BLEU: 33.6, chr-F: 0.562 testset: URL, BLEU: 3.4, chr-F: 0.114 testset: URL, BLEU: 9.2, chr-F: 0.349 testset: URL, BLEU: 15.6, chr-F: 0.334 testset: URL, BLEU: 9.1, chr-F: 0.324 testset: URL, BLEU: 43.4, chr-F: 0.645 testset: URL, BLEU: 39.0, chr-F: 0.621 testset: URL, BLEU: 10.8, chr-F: 0.373 testset: URL, BLEU: 49.9, chr-F: 0.663 testset: URL, BLEU: 0.7, chr-F: 0.137 testset: URL, BLEU: 6.4, chr-F: 0.346 testset: URL, BLEU: 0.5, chr-F: 0.055 testset: URL, BLEU: 31.4, chr-F: 0.536 testset: URL, BLEU: 11.1, chr-F: 0.389 testset: URL, BLEU: 1.3, chr-F: 0.110 testset: URL, BLEU: 6.8, chr-F: 0.233 testset: URL, BLEU: 5.8, chr-F: 0.295 testset: URL, BLEU: 0.8, chr-F: 0.086 ### System Info: * hf\_name: eng-ine * source\_languages: eng * target\_languages: ine * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] * src\_constituents: {'eng'} * tgt\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\_Latn', 'lad\_Latn', 'lat\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\_Latn', 'arg', 'pes\_Thaa', 'sqi', 'csb\_Latn', 'fra', 'hat', 'non\_Latn', 'sco', 'pnb', 'roh', 'bul\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\_Latn', 'hsb', 'tly\_Latn', 'bul', 'bel', 'got\_Goth', 'lat\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\_Latn', 'eng', 'bre', 'nob\_Hebr', 'prg\_Latn', 'ang\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\_Arab', 'san\_Deva', 'gos', 'rus', 'fao', 'orv\_Cyrl', 'bel\_Latn', 'cos', 'zza', 'grc\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\_Cyrl', 'hye\_Latn', 'pdc', 'srp\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\_Latn', 'zlm\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\_Latn', 'jdt\_Cyrl', 'gsw', 'glv', 'nld', 'snd\_Arab', 'kur\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\_Latn', 'ksh', 'pan\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\_Latn', 'ces', 'egl', 'vec', 'max\_Latn', 'pes\_Latn', 'ltg', 'nds'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: ine * short\_pair: en-ine * chrF2\_score: 0.539 * bleu: 32.6 * brevity\_penalty: 0.973 * ref\_len: 68664.0 * src\_name: English * tgt\_name: Indo-European languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: ine * prefer\_old: False * long\_pair: eng-ine * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-ine\n\n\n* source group: English\n* target group: Indo-European languages\n* OPUS readme: eng-ine\n* model: transformer\n* source language(s): eng\n* target language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\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: 6.2, chr-F: 0.317\ntestset: URL, BLEU: 22.1, chr-F: 0.525\ntestset: URL, BLEU: 17.4, chr-F: 0.486\ntestset: URL, BLEU: 6.5, chr-F: 0.303\ntestset: URL, BLEU: 14.9, chr-F: 0.476\ntestset: URL, BLEU: 26.4, chr-F: 0.547\ntestset: URL, BLEU: 30.0, chr-F: 0.575\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 16.7, chr-F: 0.487\ntestset: URL, BLEU: 24.8, chr-F: 0.547\ntestset: URL, BLEU: 25.2, chr-F: 0.562\ntestset: URL, BLEU: 27.0, chr-F: 0.554\ntestset: URL, BLEU: 13.0, chr-F: 0.417\ntestset: URL, BLEU: 17.4, chr-F: 0.480\ntestset: URL, BLEU: 22.3, chr-F: 0.519\ntestset: URL, BLEU: 24.9, chr-F: 0.532\ntestset: URL, BLEU: 13.6, chr-F: 0.432\ntestset: URL, BLEU: 16.6, chr-F: 0.482\ntestset: URL, BLEU: 23.5, chr-F: 0.535\ntestset: URL, BLEU: 25.5, chr-F: 0.561\ntestset: URL, BLEU: 26.3, chr-F: 0.551\ntestset: URL, BLEU: 14.2, chr-F: 0.436\ntestset: URL, BLEU: 18.3, chr-F: 0.492\ntestset: URL, BLEU: 25.7, chr-F: 0.550\ntestset: URL, BLEU: 30.5, chr-F: 0.578\ntestset: URL, BLEU: 15.1, chr-F: 0.439\ntestset: URL, BLEU: 17.1, chr-F: 0.478\ntestset: URL, BLEU: 28.0, chr-F: 0.569\ntestset: URL, BLEU: 31.9, chr-F: 0.580\ntestset: URL, BLEU: 13.6, chr-F: 0.418\ntestset: URL, BLEU: 17.0, chr-F: 0.475\ntestset: URL, BLEU: 26.1, chr-F: 0.553\ntestset: URL, BLEU: 21.4, chr-F: 0.506\ntestset: URL, BLEU: 31.4, chr-F: 0.577\ntestset: URL, BLEU: 15.3, chr-F: 0.438\ntestset: URL, BLEU: 20.3, chr-F: 0.501\ntestset: URL, BLEU: 26.0, chr-F: 0.540\ntestset: URL, BLEU: 16.1, chr-F: 0.449\ntestset: URL, BLEU: 28.6, chr-F: 0.555\ntestset: URL, BLEU: 9.5, chr-F: 0.344\ntestset: URL, BLEU: 14.8, chr-F: 0.440\ntestset: URL, BLEU: 22.6, chr-F: 0.523\ntestset: URL, BLEU: 18.8, chr-F: 0.483\ntestset: URL, BLEU: 16.8, chr-F: 0.457\ntestset: URL, BLEU: 26.2, chr-F: 0.555\ntestset: URL, BLEU: 21.2, chr-F: 0.510\ntestset: URL, BLEU: 17.6, chr-F: 0.471\ntestset: URL, BLEU: 13.6, chr-F: 0.421\ntestset: URL, BLEU: 21.5, chr-F: 0.516\ntestset: URL, BLEU: 13.0, chr-F: 0.452\ntestset: URL, BLEU: 18.7, chr-F: 0.486\ntestset: URL, BLEU: 13.5, chr-F: 0.425\ntestset: URL, BLEU: 29.8, chr-F: 0.581\ntestset: URL, BLEU: 16.1, chr-F: 0.472\ntestset: URL, BLEU: 14.8, chr-F: 0.435\ntestset: URL, BLEU: 26.6, chr-F: 0.554\ntestset: URL, BLEU: 6.9, chr-F: 0.313\ntestset: URL, BLEU: 10.6, chr-F: 0.429\ntestset: URL, BLEU: 17.5, chr-F: 0.452\ntestset: URL, BLEU: 52.1, chr-F: 0.708\ntestset: URL, BLEU: 5.1, chr-F: 0.131\ntestset: URL, BLEU: 1.2, chr-F: 0.099\ntestset: URL, BLEU: 2.9, chr-F: 0.259\ntestset: URL, BLEU: 14.1, chr-F: 0.408\ntestset: URL, BLEU: 0.3, chr-F: 0.002\ntestset: URL, BLEU: 18.1, chr-F: 0.450\ntestset: URL, BLEU: 13.5, chr-F: 0.432\ntestset: URL, BLEU: 0.3, chr-F: 0.003\ntestset: URL, BLEU: 10.4, chr-F: 0.318\ntestset: URL, BLEU: 38.7, chr-F: 0.592\ntestset: URL, BLEU: 42.0, chr-F: 0.633\ntestset: URL, BLEU: 32.3, chr-F: 0.546\ntestset: URL, BLEU: 0.5, chr-F: 0.079\ntestset: URL, BLEU: 3.1, chr-F: 0.148\ntestset: URL, BLEU: 1.4, chr-F: 0.216\ntestset: URL, BLEU: 22.4, chr-F: 0.470\ntestset: URL, BLEU: 49.7, chr-F: 0.671\ntestset: URL, BLEU: 31.7, chr-F: 0.554\ntestset: URL, BLEU: 1.1, chr-F: 0.139\ntestset: URL, BLEU: 0.9, chr-F: 0.089\ntestset: URL, BLEU: 42.7, chr-F: 0.640\ntestset: URL, BLEU: 3.5, chr-F: 0.259\ntestset: URL, BLEU: 6.4, chr-F: 0.235\ntestset: URL, BLEU: 6.6, chr-F: 0.285\ntestset: URL, BLEU: 5.7, chr-F: 0.257\ntestset: URL, BLEU: 38.4, chr-F: 0.595\ntestset: URL, BLEU: 0.9, chr-F: 0.149\ntestset: URL, BLEU: 8.4, chr-F: 0.145\ntestset: URL, BLEU: 16.5, chr-F: 0.411\ntestset: URL, BLEU: 0.6, chr-F: 0.098\ntestset: URL, BLEU: 11.6, chr-F: 0.361\ntestset: URL, BLEU: 32.5, chr-F: 0.546\ntestset: URL, BLEU: 38.4, chr-F: 0.602\ntestset: URL, BLEU: 23.1, chr-F: 0.418\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 0.0, chr-F: 0.005\ntestset: URL, BLEU: 0.9, chr-F: 0.108\ntestset: URL, BLEU: 20.8, chr-F: 0.391\ntestset: URL, BLEU: 34.0, chr-F: 0.537\ntestset: URL, BLEU: 33.7, chr-F: 0.567\ntestset: URL, BLEU: 2.8, chr-F: 0.269\ntestset: URL, BLEU: 15.6, chr-F: 0.437\ntestset: URL, BLEU: 5.4, chr-F: 0.320\ntestset: URL, BLEU: 17.4, chr-F: 0.426\ntestset: URL, BLEU: 17.4, chr-F: 0.436\ntestset: URL, BLEU: 40.4, chr-F: 0.636\ntestset: URL, BLEU: 6.4, chr-F: 0.008\ntestset: URL, BLEU: 6.6, chr-F: 0.005\ntestset: URL, BLEU: 0.8, chr-F: 0.123\ntestset: URL, BLEU: 10.2, chr-F: 0.209\ntestset: URL, BLEU: 0.8, chr-F: 0.163\ntestset: URL, BLEU: 0.2, chr-F: 0.001\ntestset: URL, BLEU: 9.4, chr-F: 0.372\ntestset: URL, BLEU: 30.3, chr-F: 0.559\ntestset: URL, BLEU: 1.0, chr-F: 0.130\ntestset: URL, BLEU: 25.3, chr-F: 0.560\ntestset: URL, BLEU: 0.4, chr-F: 0.139\ntestset: URL, BLEU: 0.6, chr-F: 0.108\ntestset: URL, BLEU: 18.1, chr-F: 0.388\ntestset: URL, BLEU: 17.2, chr-F: 0.464\ntestset: URL, BLEU: 18.0, chr-F: 0.451\ntestset: URL, BLEU: 81.0, chr-F: 0.899\ntestset: URL, BLEU: 37.6, chr-F: 0.587\ntestset: URL, BLEU: 27.7, chr-F: 0.519\ntestset: URL, BLEU: 32.6, chr-F: 0.539\ntestset: URL, BLEU: 3.8, chr-F: 0.134\ntestset: URL, BLEU: 14.3, chr-F: 0.401\ntestset: URL, BLEU: 0.5, chr-F: 0.002\ntestset: URL, BLEU: 44.0, chr-F: 0.642\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 42.7, chr-F: 0.623\ntestset: URL, BLEU: 7.2, chr-F: 0.295\ntestset: URL, BLEU: 2.7, chr-F: 0.257\ntestset: URL, BLEU: 0.2, chr-F: 0.008\ntestset: URL, BLEU: 2.9, chr-F: 0.264\ntestset: URL, BLEU: 7.4, chr-F: 0.337\ntestset: URL, BLEU: 48.5, chr-F: 0.656\ntestset: URL, BLEU: 1.8, chr-F: 0.145\ntestset: URL, BLEU: 0.7, chr-F: 0.136\ntestset: URL, BLEU: 31.1, chr-F: 0.563\ntestset: URL, BLEU: 37.0, chr-F: 0.605\ntestset: URL, BLEU: 0.2, chr-F: 0.100\ntestset: URL, BLEU: 1.0, chr-F: 0.134\ntestset: URL, BLEU: 2.3, chr-F: 0.236\ntestset: URL, BLEU: 7.8, chr-F: 0.340\ntestset: URL, BLEU: 34.3, chr-F: 0.585\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 29.6, chr-F: 0.526\ntestset: URL, BLEU: 2.4, chr-F: 0.125\ntestset: URL, BLEU: 1.6, chr-F: 0.079\ntestset: URL, BLEU: 33.6, chr-F: 0.562\ntestset: URL, BLEU: 3.4, chr-F: 0.114\ntestset: URL, BLEU: 9.2, chr-F: 0.349\ntestset: URL, BLEU: 15.6, chr-F: 0.334\ntestset: URL, BLEU: 9.1, chr-F: 0.324\ntestset: URL, BLEU: 43.4, chr-F: 0.645\ntestset: URL, BLEU: 39.0, chr-F: 0.621\ntestset: URL, BLEU: 10.8, chr-F: 0.373\ntestset: URL, BLEU: 49.9, chr-F: 0.663\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 6.4, chr-F: 0.346\ntestset: URL, BLEU: 0.5, chr-F: 0.055\ntestset: URL, BLEU: 31.4, chr-F: 0.536\ntestset: URL, BLEU: 11.1, chr-F: 0.389\ntestset: URL, BLEU: 1.3, chr-F: 0.110\ntestset: URL, BLEU: 6.8, chr-F: 0.233\ntestset: URL, BLEU: 5.8, chr-F: 0.295\ntestset: URL, BLEU: 0.8, chr-F: 0.086", "### System Info:\n\n\n* hf\\_name: eng-ine\n* source\\_languages: eng\n* target\\_languages: ine\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ine\n* short\\_pair: en-ine\n* chrF2\\_score: 0.539\n* bleu: 32.6\n* brevity\\_penalty: 0.973\n* ref\\_len: 68664.0\n* src\\_name: English\n* tgt\\_name: Indo-European languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: ine\n* prefer\\_old: False\n* long\\_pair: eng-ine\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 #en #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-ine\n\n\n* source group: English\n* target group: Indo-European languages\n* OPUS readme: eng-ine\n* model: transformer\n* source language(s): eng\n* target language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\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: 6.2, chr-F: 0.317\ntestset: URL, BLEU: 22.1, chr-F: 0.525\ntestset: URL, BLEU: 17.4, chr-F: 0.486\ntestset: URL, BLEU: 6.5, chr-F: 0.303\ntestset: URL, BLEU: 14.9, chr-F: 0.476\ntestset: URL, BLEU: 26.4, chr-F: 0.547\ntestset: URL, BLEU: 30.0, chr-F: 0.575\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 16.7, chr-F: 0.487\ntestset: URL, BLEU: 24.8, chr-F: 0.547\ntestset: URL, BLEU: 25.2, chr-F: 0.562\ntestset: URL, BLEU: 27.0, chr-F: 0.554\ntestset: URL, BLEU: 13.0, chr-F: 0.417\ntestset: URL, BLEU: 17.4, chr-F: 0.480\ntestset: URL, BLEU: 22.3, chr-F: 0.519\ntestset: URL, BLEU: 24.9, chr-F: 0.532\ntestset: URL, BLEU: 13.6, chr-F: 0.432\ntestset: URL, BLEU: 16.6, chr-F: 0.482\ntestset: URL, BLEU: 23.5, chr-F: 0.535\ntestset: URL, BLEU: 25.5, chr-F: 0.561\ntestset: URL, BLEU: 26.3, chr-F: 0.551\ntestset: URL, BLEU: 14.2, chr-F: 0.436\ntestset: URL, BLEU: 18.3, chr-F: 0.492\ntestset: URL, BLEU: 25.7, chr-F: 0.550\ntestset: URL, BLEU: 30.5, chr-F: 0.578\ntestset: URL, BLEU: 15.1, chr-F: 0.439\ntestset: URL, BLEU: 17.1, chr-F: 0.478\ntestset: URL, BLEU: 28.0, chr-F: 0.569\ntestset: URL, BLEU: 31.9, chr-F: 0.580\ntestset: URL, BLEU: 13.6, chr-F: 0.418\ntestset: URL, BLEU: 17.0, chr-F: 0.475\ntestset: URL, BLEU: 26.1, chr-F: 0.553\ntestset: URL, BLEU: 21.4, chr-F: 0.506\ntestset: URL, BLEU: 31.4, chr-F: 0.577\ntestset: URL, BLEU: 15.3, chr-F: 0.438\ntestset: URL, BLEU: 20.3, chr-F: 0.501\ntestset: URL, BLEU: 26.0, chr-F: 0.540\ntestset: URL, BLEU: 16.1, chr-F: 0.449\ntestset: URL, BLEU: 28.6, chr-F: 0.555\ntestset: URL, BLEU: 9.5, chr-F: 0.344\ntestset: URL, BLEU: 14.8, chr-F: 0.440\ntestset: URL, BLEU: 22.6, chr-F: 0.523\ntestset: URL, BLEU: 18.8, chr-F: 0.483\ntestset: URL, BLEU: 16.8, chr-F: 0.457\ntestset: URL, BLEU: 26.2, chr-F: 0.555\ntestset: URL, BLEU: 21.2, chr-F: 0.510\ntestset: URL, BLEU: 17.6, chr-F: 0.471\ntestset: URL, BLEU: 13.6, chr-F: 0.421\ntestset: URL, BLEU: 21.5, chr-F: 0.516\ntestset: URL, BLEU: 13.0, chr-F: 0.452\ntestset: URL, BLEU: 18.7, chr-F: 0.486\ntestset: URL, BLEU: 13.5, chr-F: 0.425\ntestset: URL, BLEU: 29.8, chr-F: 0.581\ntestset: URL, BLEU: 16.1, chr-F: 0.472\ntestset: URL, BLEU: 14.8, chr-F: 0.435\ntestset: URL, BLEU: 26.6, chr-F: 0.554\ntestset: URL, BLEU: 6.9, chr-F: 0.313\ntestset: URL, BLEU: 10.6, chr-F: 0.429\ntestset: URL, BLEU: 17.5, chr-F: 0.452\ntestset: URL, BLEU: 52.1, chr-F: 0.708\ntestset: URL, BLEU: 5.1, chr-F: 0.131\ntestset: URL, BLEU: 1.2, chr-F: 0.099\ntestset: URL, BLEU: 2.9, chr-F: 0.259\ntestset: URL, BLEU: 14.1, chr-F: 0.408\ntestset: URL, BLEU: 0.3, chr-F: 0.002\ntestset: URL, BLEU: 18.1, chr-F: 0.450\ntestset: URL, BLEU: 13.5, chr-F: 0.432\ntestset: URL, BLEU: 0.3, chr-F: 0.003\ntestset: URL, BLEU: 10.4, chr-F: 0.318\ntestset: URL, BLEU: 38.7, chr-F: 0.592\ntestset: URL, BLEU: 42.0, chr-F: 0.633\ntestset: URL, BLEU: 32.3, chr-F: 0.546\ntestset: URL, BLEU: 0.5, chr-F: 0.079\ntestset: URL, BLEU: 3.1, chr-F: 0.148\ntestset: URL, BLEU: 1.4, chr-F: 0.216\ntestset: URL, BLEU: 22.4, chr-F: 0.470\ntestset: URL, BLEU: 49.7, chr-F: 0.671\ntestset: URL, BLEU: 31.7, chr-F: 0.554\ntestset: URL, BLEU: 1.1, chr-F: 0.139\ntestset: URL, BLEU: 0.9, chr-F: 0.089\ntestset: URL, BLEU: 42.7, chr-F: 0.640\ntestset: URL, BLEU: 3.5, chr-F: 0.259\ntestset: URL, BLEU: 6.4, chr-F: 0.235\ntestset: URL, BLEU: 6.6, chr-F: 0.285\ntestset: URL, BLEU: 5.7, chr-F: 0.257\ntestset: URL, BLEU: 38.4, chr-F: 0.595\ntestset: URL, BLEU: 0.9, chr-F: 0.149\ntestset: URL, BLEU: 8.4, chr-F: 0.145\ntestset: URL, BLEU: 16.5, chr-F: 0.411\ntestset: URL, BLEU: 0.6, chr-F: 0.098\ntestset: URL, BLEU: 11.6, chr-F: 0.361\ntestset: URL, BLEU: 32.5, chr-F: 0.546\ntestset: URL, BLEU: 38.4, chr-F: 0.602\ntestset: URL, BLEU: 23.1, chr-F: 0.418\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 0.0, chr-F: 0.005\ntestset: URL, BLEU: 0.9, chr-F: 0.108\ntestset: URL, BLEU: 20.8, chr-F: 0.391\ntestset: URL, BLEU: 34.0, chr-F: 0.537\ntestset: URL, BLEU: 33.7, chr-F: 0.567\ntestset: URL, BLEU: 2.8, chr-F: 0.269\ntestset: URL, BLEU: 15.6, chr-F: 0.437\ntestset: URL, BLEU: 5.4, chr-F: 0.320\ntestset: URL, BLEU: 17.4, chr-F: 0.426\ntestset: URL, BLEU: 17.4, chr-F: 0.436\ntestset: URL, BLEU: 40.4, chr-F: 0.636\ntestset: URL, BLEU: 6.4, chr-F: 0.008\ntestset: URL, BLEU: 6.6, chr-F: 0.005\ntestset: URL, BLEU: 0.8, chr-F: 0.123\ntestset: URL, BLEU: 10.2, chr-F: 0.209\ntestset: URL, BLEU: 0.8, chr-F: 0.163\ntestset: URL, BLEU: 0.2, chr-F: 0.001\ntestset: URL, BLEU: 9.4, chr-F: 0.372\ntestset: URL, BLEU: 30.3, chr-F: 0.559\ntestset: URL, BLEU: 1.0, chr-F: 0.130\ntestset: URL, BLEU: 25.3, chr-F: 0.560\ntestset: URL, BLEU: 0.4, chr-F: 0.139\ntestset: URL, BLEU: 0.6, chr-F: 0.108\ntestset: URL, BLEU: 18.1, chr-F: 0.388\ntestset: URL, BLEU: 17.2, chr-F: 0.464\ntestset: URL, BLEU: 18.0, chr-F: 0.451\ntestset: URL, BLEU: 81.0, chr-F: 0.899\ntestset: URL, BLEU: 37.6, chr-F: 0.587\ntestset: URL, BLEU: 27.7, chr-F: 0.519\ntestset: URL, BLEU: 32.6, chr-F: 0.539\ntestset: URL, BLEU: 3.8, chr-F: 0.134\ntestset: URL, BLEU: 14.3, chr-F: 0.401\ntestset: URL, BLEU: 0.5, chr-F: 0.002\ntestset: URL, BLEU: 44.0, chr-F: 0.642\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 42.7, chr-F: 0.623\ntestset: URL, BLEU: 7.2, chr-F: 0.295\ntestset: URL, BLEU: 2.7, chr-F: 0.257\ntestset: URL, BLEU: 0.2, chr-F: 0.008\ntestset: URL, BLEU: 2.9, chr-F: 0.264\ntestset: URL, BLEU: 7.4, chr-F: 0.337\ntestset: URL, BLEU: 48.5, chr-F: 0.656\ntestset: URL, BLEU: 1.8, chr-F: 0.145\ntestset: URL, BLEU: 0.7, chr-F: 0.136\ntestset: URL, BLEU: 31.1, chr-F: 0.563\ntestset: URL, BLEU: 37.0, chr-F: 0.605\ntestset: URL, BLEU: 0.2, chr-F: 0.100\ntestset: URL, BLEU: 1.0, chr-F: 0.134\ntestset: URL, BLEU: 2.3, chr-F: 0.236\ntestset: URL, BLEU: 7.8, chr-F: 0.340\ntestset: URL, BLEU: 34.3, chr-F: 0.585\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 29.6, chr-F: 0.526\ntestset: URL, BLEU: 2.4, chr-F: 0.125\ntestset: URL, BLEU: 1.6, chr-F: 0.079\ntestset: URL, BLEU: 33.6, chr-F: 0.562\ntestset: URL, BLEU: 3.4, chr-F: 0.114\ntestset: URL, BLEU: 9.2, chr-F: 0.349\ntestset: URL, BLEU: 15.6, chr-F: 0.334\ntestset: URL, BLEU: 9.1, chr-F: 0.324\ntestset: URL, BLEU: 43.4, chr-F: 0.645\ntestset: URL, BLEU: 39.0, chr-F: 0.621\ntestset: URL, BLEU: 10.8, chr-F: 0.373\ntestset: URL, BLEU: 49.9, chr-F: 0.663\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 6.4, chr-F: 0.346\ntestset: URL, BLEU: 0.5, chr-F: 0.055\ntestset: URL, BLEU: 31.4, chr-F: 0.536\ntestset: URL, BLEU: 11.1, chr-F: 0.389\ntestset: URL, BLEU: 1.3, chr-F: 0.110\ntestset: URL, BLEU: 6.8, chr-F: 0.233\ntestset: URL, BLEU: 5.8, chr-F: 0.295\ntestset: URL, BLEU: 0.8, chr-F: 0.086", "### System Info:\n\n\n* hf\\_name: eng-ine\n* source\\_languages: eng\n* target\\_languages: ine\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ine\n* short\\_pair: en-ine\n* chrF2\\_score: 0.539\n* bleu: 32.6\n* brevity\\_penalty: 0.973\n* ref\\_len: 68664.0\n* src\\_name: English\n* tgt\\_name: Indo-European languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: ine\n* prefer\\_old: False\n* long\\_pair: eng-ine\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 178, 4337, 1458 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-ine\n\n\n* source group: English\n* target group: Indo-European languages\n* OPUS readme: eng-ine\n* model: transformer\n* source language(s): eng\n* target language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\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: 6.2, chr-F: 0.317\ntestset: URL, BLEU: 22.1, chr-F: 0.525\ntestset: URL, BLEU: 17.4, chr-F: 0.486\ntestset: URL, BLEU: 6.5, chr-F: 0.303\ntestset: URL, BLEU: 14.9, chr-F: 0.476\ntestset: URL, BLEU: 26.4, chr-F: 0.547\ntestset: URL, BLEU: 30.0, chr-F: 0.575\ntestset: URL, BLEU: 14.7, chr-F: 0.442\ntestset: URL, BLEU: 16.7, chr-F: 0.487\ntestset: URL, BLEU: 24.8, chr-F: 0.547\ntestset: URL, BLEU: 25.2, chr-F: 0.562\ntestset: URL, BLEU: 27.0, chr-F: 0.554\ntestset: URL, BLEU: 13.0, chr-F: 0.417\ntestset: URL, BLEU: 17.4, chr-F: 0.480\ntestset: URL, BLEU: 22.3, chr-F: 0.519\ntestset: URL, BLEU: 24.9, chr-F: 0.532\ntestset: URL, BLEU: 13.6, chr-F: 0.432\ntestset: URL, BLEU: 16.6, chr-F: 0.482\ntestset: URL, BLEU: 23.5, chr-F: 0.535\ntestset: URL, BLEU: 25.5, chr-F: 0.561\ntestset: URL, BLEU: 26.3, chr-F: 0.551\ntestset: URL, BLEU: 14.2, chr-F: 0.436\ntestset: URL, BLEU: 18.3, chr-F: 0.492\ntestset: URL, BLEU: 25.7, chr-F: 0.550\ntestset: URL, BLEU: 30.5, chr-F: 0.578\ntestset: URL, BLEU: 15.1, chr-F: 0.439\ntestset: URL, BLEU: 17.1, chr-F: 0.478\ntestset: URL, BLEU: 28.0, chr-F: 0.569\ntestset: URL, BLEU: 31.9, chr-F: 0.580\ntestset: URL, BLEU: 13.6, chr-F: 0.418\ntestset: URL, BLEU: 17.0, chr-F: 0.475\ntestset: URL, BLEU: 26.1, chr-F: 0.553\ntestset: URL, BLEU: 21.4, chr-F: 0.506\ntestset: URL, BLEU: 31.4, chr-F: 0.577\ntestset: URL, BLEU: 15.3, chr-F: 0.438\ntestset: URL, BLEU: 20.3, chr-F: 0.501\ntestset: URL, BLEU: 26.0, chr-F: 0.540\ntestset: URL, BLEU: 16.1, chr-F: 0.449\ntestset: URL, BLEU: 28.6, chr-F: 0.555\ntestset: URL, BLEU: 9.5, chr-F: 0.344\ntestset: URL, BLEU: 14.8, chr-F: 0.440\ntestset: URL, BLEU: 22.6, chr-F: 0.523\ntestset: URL, BLEU: 18.8, chr-F: 0.483\ntestset: URL, BLEU: 16.8, chr-F: 0.457\ntestset: URL, BLEU: 26.2, chr-F: 0.555\ntestset: URL, BLEU: 21.2, chr-F: 0.510\ntestset: URL, BLEU: 17.6, chr-F: 0.471\ntestset: URL, BLEU: 13.6, chr-F: 0.421\ntestset: URL, BLEU: 21.5, chr-F: 0.516\ntestset: URL, BLEU: 13.0, chr-F: 0.452\ntestset: URL, BLEU: 18.7, chr-F: 0.486\ntestset: URL, BLEU: 13.5, chr-F: 0.425\ntestset: URL, BLEU: 29.8, chr-F: 0.581\ntestset: URL, BLEU: 16.1, chr-F: 0.472\ntestset: URL, BLEU: 14.8, chr-F: 0.435\ntestset: URL, BLEU: 26.6, chr-F: 0.554\ntestset: URL, BLEU: 6.9, chr-F: 0.313\ntestset: URL, BLEU: 10.6, chr-F: 0.429\ntestset: URL, BLEU: 17.5, chr-F: 0.452\ntestset: URL, BLEU: 52.1, chr-F: 0.708\ntestset: URL, BLEU: 5.1, chr-F: 0.131\ntestset: URL, BLEU: 1.2, chr-F: 0.099\ntestset: URL, BLEU: 2.9, chr-F: 0.259\ntestset: URL, BLEU: 14.1, chr-F: 0.408\ntestset: URL, BLEU: 0.3, chr-F: 0.002\ntestset: URL, BLEU: 18.1, chr-F: 0.450\ntestset: URL, BLEU: 13.5, chr-F: 0.432\ntestset: URL, BLEU: 0.3, chr-F: 0.003\ntestset: URL, BLEU: 10.4, chr-F: 0.318\ntestset: URL, BLEU: 38.7, chr-F: 0.592\ntestset: URL, BLEU: 42.0, chr-F: 0.633\ntestset: URL, BLEU: 32.3, chr-F: 0.546\ntestset: URL, BLEU: 0.5, chr-F: 0.079\ntestset: URL, BLEU: 3.1, chr-F: 0.148\ntestset: URL, BLEU: 1.4, chr-F: 0.216\ntestset: URL, BLEU: 22.4, chr-F: 0.470\ntestset: URL, BLEU: 49.7, chr-F: 0.671\ntestset: URL, BLEU: 31.7, chr-F: 0.554\ntestset: URL, BLEU: 1.1, chr-F: 0.139\ntestset: URL, BLEU: 0.9, chr-F: 0.089\ntestset: URL, BLEU: 42.7, chr-F: 0.640\ntestset: URL, BLEU: 3.5, chr-F: 0.259\ntestset: URL, BLEU: 6.4, chr-F: 0.235\ntestset: URL, BLEU: 6.6, chr-F: 0.285\ntestset: URL, BLEU: 5.7, chr-F: 0.257\ntestset: URL, BLEU: 38.4, chr-F: 0.595\ntestset: URL, BLEU: 0.9, chr-F: 0.149\ntestset: URL, BLEU: 8.4, chr-F: 0.145\ntestset: URL, BLEU: 16.5, chr-F: 0.411\ntestset: URL, BLEU: 0.6, chr-F: 0.098\ntestset: URL, BLEU: 11.6, chr-F: 0.361\ntestset: URL, BLEU: 32.5, chr-F: 0.546\ntestset: URL, BLEU: 38.4, chr-F: 0.602\ntestset: URL, BLEU: 23.1, chr-F: 0.418\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 0.0, chr-F: 0.005\ntestset: URL, BLEU: 0.9, chr-F: 0.108\ntestset: URL, BLEU: 20.8, chr-F: 0.391\ntestset: URL, BLEU: 34.0, chr-F: 0.537\ntestset: URL, BLEU: 33.7, chr-F: 0.567\ntestset: URL, BLEU: 2.8, chr-F: 0.269\ntestset: URL, BLEU: 15.6, chr-F: 0.437\ntestset: URL, BLEU: 5.4, chr-F: 0.320\ntestset: URL, BLEU: 17.4, chr-F: 0.426\ntestset: URL, BLEU: 17.4, chr-F: 0.436\ntestset: URL, BLEU: 40.4, chr-F: 0.636\ntestset: URL, BLEU: 6.4, chr-F: 0.008\ntestset: URL, BLEU: 6.6, chr-F: 0.005\ntestset: URL, BLEU: 0.8, chr-F: 0.123\ntestset: URL, BLEU: 10.2, chr-F: 0.209\ntestset: URL, BLEU: 0.8, chr-F: 0.163\ntestset: URL, BLEU: 0.2, chr-F: 0.001\ntestset: URL, BLEU: 9.4, chr-F: 0.372\ntestset: URL, BLEU: 30.3, chr-F: 0.559\ntestset: URL, BLEU: 1.0, chr-F: 0.130\ntestset: URL, BLEU: 25.3, chr-F: 0.560\ntestset: URL, BLEU: 0.4, chr-F: 0.139\ntestset: URL, BLEU: 0.6, chr-F: 0.108\ntestset: URL, BLEU: 18.1, chr-F: 0.388\ntestset: URL, BLEU: 17.2, chr-F: 0.464\ntestset: URL, BLEU: 18.0, chr-F: 0.451\ntestset: URL, BLEU: 81.0, chr-F: 0.899\ntestset: URL, BLEU: 37.6, chr-F: 0.587\ntestset: URL, BLEU: 27.7, chr-F: 0.519\ntestset: URL, BLEU: 32.6, chr-F: 0.539\ntestset: URL, BLEU: 3.8, chr-F: 0.134\ntestset: URL, BLEU: 14.3, chr-F: 0.401\ntestset: URL, BLEU: 0.5, chr-F: 0.002\ntestset: URL, BLEU: 44.0, chr-F: 0.642\ntestset: URL, BLEU: 0.7, chr-F: 0.118\ntestset: URL, BLEU: 42.7, chr-F: 0.623\ntestset: URL, BLEU: 7.2, chr-F: 0.295\ntestset: URL, BLEU: 2.7, chr-F: 0.257\ntestset: URL, BLEU: 0.2, chr-F: 0.008\ntestset: URL, BLEU: 2.9, chr-F: 0.264\ntestset: URL, BLEU: 7.4, chr-F: 0.337\ntestset: URL, BLEU: 48.5, chr-F: 0.656\ntestset: URL, BLEU: 1.8, chr-F: 0.145\ntestset: URL, BLEU: 0.7, chr-F: 0.136\ntestset: URL, BLEU: 31.1, chr-F: 0.563\ntestset: URL, BLEU: 37.0, chr-F: 0.605\ntestset: URL, BLEU: 0.2, chr-F: 0.100\ntestset: URL, BLEU: 1.0, chr-F: 0.134\ntestset: URL, BLEU: 2.3, chr-F: 0.236\ntestset: URL, BLEU: 7.8, chr-F: 0.340\ntestset: URL, BLEU: 34.3, chr-F: 0.585\ntestset: URL, BLEU: 0.2, chr-F: 0.010\ntestset: URL, BLEU: 29.6, chr-F: 0.526\ntestset: URL, BLEU: 2.4, chr-F: 0.125\ntestset: URL, BLEU: 1.6, chr-F: 0.079\ntestset: URL, BLEU: 33.6, chr-F: 0.562\ntestset: URL, BLEU: 3.4, chr-F: 0.114\ntestset: URL, BLEU: 9.2, chr-F: 0.349\ntestset: URL, BLEU: 15.6, chr-F: 0.334\ntestset: URL, BLEU: 9.1, chr-F: 0.324\ntestset: URL, BLEU: 43.4, chr-F: 0.645\ntestset: URL, BLEU: 39.0, chr-F: 0.621\ntestset: URL, BLEU: 10.8, chr-F: 0.373\ntestset: URL, BLEU: 49.9, chr-F: 0.663\ntestset: URL, BLEU: 0.7, chr-F: 0.137\ntestset: URL, BLEU: 6.4, chr-F: 0.346\ntestset: URL, BLEU: 0.5, chr-F: 0.055\ntestset: URL, BLEU: 31.4, chr-F: 0.536\ntestset: URL, BLEU: 11.1, chr-F: 0.389\ntestset: URL, BLEU: 1.3, chr-F: 0.110\ntestset: URL, BLEU: 6.8, chr-F: 0.233\ntestset: URL, BLEU: 5.8, chr-F: 0.295\ntestset: URL, BLEU: 0.8, chr-F: 0.086### System Info:\n\n\n* hf\\_name: eng-ine\n* source\\_languages: eng\n* target\\_languages: ine\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: ine\n* short\\_pair: en-ine\n* chrF2\\_score: 0.539\n* bleu: 32.6\n* brevity\\_penalty: 0.973\n* ref\\_len: 68664.0\n* src\\_name: English\n* tgt\\_name: Indo-European languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: ine\n* prefer\\_old: False\n* long\\_pair: eng-ine\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-en-is * source languages: en * target languages: is * OPUS readme: [en-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-is/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.en.is \| 25.3 \| 0.518 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-is	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "is", "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 #en #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-is * source languages: en * target languages: is * OPUS readme: en-is * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.3, chr-F: 0.518	[ "### opus-mt-en-is\n\n\n* source languages: en\n* target languages: is\n* OPUS readme: en-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.518" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-is\n\n\n* source languages: en\n* target languages: is\n* OPUS readme: en-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.518" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #is #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-is\n\n\n* source languages: en\n* target languages: is\n* OPUS readme: en-is\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.518" ]
translation	transformers	### opus-mt-en-iso * source languages: en * target languages: iso * OPUS readme: [en-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.iso \| 35.7 \| 0.523 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-iso	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-iso * source languages: en * target languages: iso * OPUS readme: en-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: 35.7, chr-F: 0.523	[ "### opus-mt-en-iso\n\n\n* source languages: en\n* target languages: iso\n* OPUS readme: en-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: 35.7, chr-F: 0.523" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-iso\n\n\n* source languages: en\n* target languages: iso\n* OPUS readme: en-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: 35.7, chr-F: 0.523" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-iso\n\n\n* source languages: en\n* target languages: iso\n* OPUS readme: en-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: 35.7, chr-F: 0.523" ]
translation	transformers	### opus-mt-en-it * source languages: en * target languages: it * OPUS readme: [en-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-it/README.md) * dataset: opus * model: transformer * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.zip) * test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.test.txt) * test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.en.it \| 30.9 \| 0.606 \| \| newstest2009.en.it \| 31.9 \| 0.604 \| \| Tatoeba.en.it \| 48.2 \| 0.695 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-it	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "it", "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 #en #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-it * source languages: en * target languages: it * OPUS readme: en-it * dataset: opus * model: transformer * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.9, chr-F: 0.606 testset: URL, BLEU: 31.9, chr-F: 0.604 testset: URL, BLEU: 48.2, chr-F: 0.695	[ "### opus-mt-en-it\n\n\n* source languages: en\n* target languages: it\n* OPUS readme: en-it\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.604\ntestset: URL, BLEU: 48.2, chr-F: 0.695" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-it\n\n\n* source languages: en\n* target languages: it\n* OPUS readme: en-it\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.604\ntestset: URL, BLEU: 48.2, chr-F: 0.695" ]	[ 51, 150 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-it\n\n\n* source languages: en\n* target languages: it\n* OPUS readme: en-it\n* dataset: opus\n* model: transformer\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.9, chr-F: 0.606\ntestset: URL, BLEU: 31.9, chr-F: 0.604\ntestset: URL, BLEU: 48.2, chr-F: 0.695" ]
translation	transformers	### eng-itc * source group: English * target group: Italic languages * OPUS readme: [eng-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md) * model: transformer * source language(s): eng * target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2016-enro-engron.eng.ron \| 27.1 \| 0.565 \| \| newsdiscussdev2015-enfr-engfra.eng.fra \| 29.9 \| 0.574 \| \| newsdiscusstest2015-enfr-engfra.eng.fra \| 35.3 \| 0.609 \| \| newssyscomb2009-engfra.eng.fra \| 27.7 \| 0.567 \| \| newssyscomb2009-engita.eng.ita \| 28.6 \| 0.586 \| \| newssyscomb2009-engspa.eng.spa \| 29.8 \| 0.569 \| \| news-test2008-engfra.eng.fra \| 25.0 \| 0.536 \| \| news-test2008-engspa.eng.spa \| 27.1 \| 0.548 \| \| newstest2009-engfra.eng.fra \| 26.7 \| 0.557 \| \| newstest2009-engita.eng.ita \| 28.9 \| 0.583 \| \| newstest2009-engspa.eng.spa \| 28.9 \| 0.567 \| \| newstest2010-engfra.eng.fra \| 29.6 \| 0.574 \| \| newstest2010-engspa.eng.spa \| 33.8 \| 0.598 \| \| newstest2011-engfra.eng.fra \| 30.9 \| 0.590 \| \| newstest2011-engspa.eng.spa \| 34.8 \| 0.598 \| \| newstest2012-engfra.eng.fra \| 29.1 \| 0.574 \| \| newstest2012-engspa.eng.spa \| 34.9 \| 0.600 \| \| newstest2013-engfra.eng.fra \| 30.1 \| 0.567 \| \| newstest2013-engspa.eng.spa \| 31.8 \| 0.576 \| \| newstest2016-enro-engron.eng.ron \| 25.9 \| 0.548 \| \| Tatoeba-test.eng-arg.eng.arg \| 1.6 \| 0.120 \| \| Tatoeba-test.eng-ast.eng.ast \| 17.2 \| 0.389 \| \| Tatoeba-test.eng-cat.eng.cat \| 47.6 \| 0.668 \| \| Tatoeba-test.eng-cos.eng.cos \| 4.3 \| 0.287 \| \| Tatoeba-test.eng-egl.eng.egl \| 0.9 \| 0.101 \| \| Tatoeba-test.eng-ext.eng.ext \| 8.7 \| 0.287 \| \| Tatoeba-test.eng-fra.eng.fra \| 44.9 \| 0.635 \| \| Tatoeba-test.eng-frm.eng.frm \| 1.0 \| 0.225 \| \| Tatoeba-test.eng-gcf.eng.gcf \| 0.7 \| 0.115 \| \| Tatoeba-test.eng-glg.eng.glg \| 44.9 \| 0.648 \| \| Tatoeba-test.eng-hat.eng.hat \| 30.9 \| 0.533 \| \| Tatoeba-test.eng-ita.eng.ita \| 45.4 \| 0.673 \| \| Tatoeba-test.eng-lad.eng.lad \| 5.6 \| 0.279 \| \| Tatoeba-test.eng-lat.eng.lat \| 12.1 \| 0.380 \| \| Tatoeba-test.eng-lij.eng.lij \| 1.4 \| 0.183 \| \| Tatoeba-test.eng-lld.eng.lld \| 0.5 \| 0.199 \| \| Tatoeba-test.eng-lmo.eng.lmo \| 0.7 \| 0.187 \| \| Tatoeba-test.eng-mfe.eng.mfe \| 83.6 \| 0.909 \| \| Tatoeba-test.eng-msa.eng.msa \| 31.3 \| 0.549 \| \| Tatoeba-test.eng.multi \| 38.0 \| 0.588 \| \| Tatoeba-test.eng-mwl.eng.mwl \| 2.7 \| 0.322 \| \| Tatoeba-test.eng-oci.eng.oci \| 8.2 \| 0.293 \| \| Tatoeba-test.eng-pap.eng.pap \| 46.7 \| 0.663 \| \| Tatoeba-test.eng-pms.eng.pms \| 2.1 \| 0.194 \| \| Tatoeba-test.eng-por.eng.por \| 41.2 \| 0.635 \| \| Tatoeba-test.eng-roh.eng.roh \| 2.6 \| 0.237 \| \| Tatoeba-test.eng-ron.eng.ron \| 40.6 \| 0.632 \| \| Tatoeba-test.eng-scn.eng.scn \| 1.6 \| 0.181 \| \| Tatoeba-test.eng-spa.eng.spa \| 49.5 \| 0.685 \| \| Tatoeba-test.eng-vec.eng.vec \| 1.6 \| 0.223 \| \| Tatoeba-test.eng-wln.eng.wln \| 7.1 \| 0.250 \| ### System Info: - hf_name: eng-itc - source_languages: eng - target_languages: itc - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc'] - src_constituents: {'eng'} - tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: itc - short_pair: en-itc - chrF2_score: 0.588 - bleu: 38.0 - brevity_penalty: 0.9670000000000001 - ref_len: 73951.0 - src_name: English - tgt_name: Italic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: itc - prefer_old: False - long_pair: eng-itc - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-itc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-itc * source group: English * target group: Italic languages * OPUS readme: eng-itc * model: transformer * source language(s): eng * target language(s): arg ast cat cos egl ext fra frm\_Latn gcf\_Latn glg hat ind ita lad lad\_Latn lat\_Latn lij lld\_Latn lmo max\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\_Latn vec wln zlm\_Latn zsm\_Latn * 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: 27.1, chr-F: 0.565 testset: URL, BLEU: 29.9, chr-F: 0.574 testset: URL, BLEU: 35.3, chr-F: 0.609 testset: URL, BLEU: 27.7, chr-F: 0.567 testset: URL, BLEU: 28.6, chr-F: 0.586 testset: URL, BLEU: 29.8, chr-F: 0.569 testset: URL, BLEU: 25.0, chr-F: 0.536 testset: URL, BLEU: 27.1, chr-F: 0.548 testset: URL, BLEU: 26.7, chr-F: 0.557 testset: URL, BLEU: 28.9, chr-F: 0.583 testset: URL, BLEU: 28.9, chr-F: 0.567 testset: URL, BLEU: 29.6, chr-F: 0.574 testset: URL, BLEU: 33.8, chr-F: 0.598 testset: URL, BLEU: 30.9, chr-F: 0.590 testset: URL, BLEU: 34.8, chr-F: 0.598 testset: URL, BLEU: 29.1, chr-F: 0.574 testset: URL, BLEU: 34.9, chr-F: 0.600 testset: URL, BLEU: 30.1, chr-F: 0.567 testset: URL, BLEU: 31.8, chr-F: 0.576 testset: URL, BLEU: 25.9, chr-F: 0.548 testset: URL, BLEU: 1.6, chr-F: 0.120 testset: URL, BLEU: 17.2, chr-F: 0.389 testset: URL, BLEU: 47.6, chr-F: 0.668 testset: URL, BLEU: 4.3, chr-F: 0.287 testset: URL, BLEU: 0.9, chr-F: 0.101 testset: URL, BLEU: 8.7, chr-F: 0.287 testset: URL, BLEU: 44.9, chr-F: 0.635 testset: URL, BLEU: 1.0, chr-F: 0.225 testset: URL, BLEU: 0.7, chr-F: 0.115 testset: URL, BLEU: 44.9, chr-F: 0.648 testset: URL, BLEU: 30.9, chr-F: 0.533 testset: URL, BLEU: 45.4, chr-F: 0.673 testset: URL, BLEU: 5.6, chr-F: 0.279 testset: URL, BLEU: 12.1, chr-F: 0.380 testset: URL, BLEU: 1.4, chr-F: 0.183 testset: URL, BLEU: 0.5, chr-F: 0.199 testset: URL, BLEU: 0.7, chr-F: 0.187 testset: URL, BLEU: 83.6, chr-F: 0.909 testset: URL, BLEU: 31.3, chr-F: 0.549 testset: URL, BLEU: 38.0, chr-F: 0.588 testset: URL, BLEU: 2.7, chr-F: 0.322 testset: URL, BLEU: 8.2, chr-F: 0.293 testset: URL, BLEU: 46.7, chr-F: 0.663 testset: URL, BLEU: 2.1, chr-F: 0.194 testset: URL, BLEU: 41.2, chr-F: 0.635 testset: URL, BLEU: 2.6, chr-F: 0.237 testset: URL, BLEU: 40.6, chr-F: 0.632 testset: URL, BLEU: 1.6, chr-F: 0.181 testset: URL, BLEU: 49.5, chr-F: 0.685 testset: URL, BLEU: 1.6, chr-F: 0.223 testset: URL, BLEU: 7.1, chr-F: 0.250 ### System Info: * hf\_name: eng-itc * source\_languages: eng * target\_languages: itc * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc'] * src\_constituents: {'eng'} * tgt\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\_Latn', 'lad\_Latn', 'pcd', 'lat\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'lld\_Latn', 'min', 'tmw\_Latn', 'cos', 'wln', 'zlm\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\_Latn', 'frm\_Latn', 'scn', 'mfe'} * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: itc * short\_pair: en-itc * chrF2\_score: 0.588 * bleu: 38.0 * brevity\_penalty: 0.9670000000000001 * ref\_len: 73951.0 * src\_name: English * tgt\_name: Italic languages * train\_date: 2020-08-01 * src\_alpha2: en * tgt\_alpha2: itc * prefer\_old: False * long\_pair: eng-itc * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-itc\n\n\n* source group: English\n* target group: Italic languages\n* OPUS readme: eng-itc\n* model: transformer\n* source language(s): eng\n* target language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* 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: 27.1, chr-F: 0.565\ntestset: URL, BLEU: 29.9, chr-F: 0.574\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 27.7, chr-F: 0.567\ntestset: URL, BLEU: 28.6, chr-F: 0.586\ntestset: URL, BLEU: 29.8, chr-F: 0.569\ntestset: URL, BLEU: 25.0, chr-F: 0.536\ntestset: URL, BLEU: 27.1, chr-F: 0.548\ntestset: URL, BLEU: 26.7, chr-F: 0.557\ntestset: URL, BLEU: 28.9, chr-F: 0.583\ntestset: URL, BLEU: 28.9, chr-F: 0.567\ntestset: URL, BLEU: 29.6, chr-F: 0.574\ntestset: URL, BLEU: 33.8, chr-F: 0.598\ntestset: URL, BLEU: 30.9, chr-F: 0.590\ntestset: URL, BLEU: 34.8, chr-F: 0.598\ntestset: URL, BLEU: 29.1, chr-F: 0.574\ntestset: URL, BLEU: 34.9, chr-F: 0.600\ntestset: URL, BLEU: 30.1, chr-F: 0.567\ntestset: URL, BLEU: 31.8, chr-F: 0.576\ntestset: URL, BLEU: 25.9, chr-F: 0.548\ntestset: URL, BLEU: 1.6, chr-F: 0.120\ntestset: URL, BLEU: 17.2, chr-F: 0.389\ntestset: URL, BLEU: 47.6, chr-F: 0.668\ntestset: URL, BLEU: 4.3, chr-F: 0.287\ntestset: URL, BLEU: 0.9, chr-F: 0.101\ntestset: URL, BLEU: 8.7, chr-F: 0.287\ntestset: URL, BLEU: 44.9, chr-F: 0.635\ntestset: URL, BLEU: 1.0, chr-F: 0.225\ntestset: URL, BLEU: 0.7, chr-F: 0.115\ntestset: URL, BLEU: 44.9, chr-F: 0.648\ntestset: URL, BLEU: 30.9, chr-F: 0.533\ntestset: URL, BLEU: 45.4, chr-F: 0.673\ntestset: URL, BLEU: 5.6, chr-F: 0.279\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 1.4, chr-F: 0.183\ntestset: URL, BLEU: 0.5, chr-F: 0.199\ntestset: URL, BLEU: 0.7, chr-F: 0.187\ntestset: URL, BLEU: 83.6, chr-F: 0.909\ntestset: URL, BLEU: 31.3, chr-F: 0.549\ntestset: URL, BLEU: 38.0, chr-F: 0.588\ntestset: URL, BLEU: 2.7, chr-F: 0.322\ntestset: URL, BLEU: 8.2, chr-F: 0.293\ntestset: URL, BLEU: 46.7, chr-F: 0.663\ntestset: URL, BLEU: 2.1, chr-F: 0.194\ntestset: URL, BLEU: 41.2, chr-F: 0.635\ntestset: URL, BLEU: 2.6, chr-F: 0.237\ntestset: URL, BLEU: 40.6, chr-F: 0.632\ntestset: URL, BLEU: 1.6, chr-F: 0.181\ntestset: URL, BLEU: 49.5, chr-F: 0.685\ntestset: URL, BLEU: 1.6, chr-F: 0.223\ntestset: URL, BLEU: 7.1, chr-F: 0.250", "### System Info:\n\n\n* hf\\_name: eng-itc\n* source\\_languages: eng\n* target\\_languages: itc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: itc\n* short\\_pair: en-itc\n* chrF2\\_score: 0.588\n* bleu: 38.0\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 73951.0\n* src\\_name: English\n* tgt\\_name: Italic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: itc\n* prefer\\_old: False\n* long\\_pair: eng-itc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-itc\n\n\n* source group: English\n* target group: Italic languages\n* OPUS readme: eng-itc\n* model: transformer\n* source language(s): eng\n* target language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* 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: 27.1, chr-F: 0.565\ntestset: URL, BLEU: 29.9, chr-F: 0.574\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 27.7, chr-F: 0.567\ntestset: URL, BLEU: 28.6, chr-F: 0.586\ntestset: URL, BLEU: 29.8, chr-F: 0.569\ntestset: URL, BLEU: 25.0, chr-F: 0.536\ntestset: URL, BLEU: 27.1, chr-F: 0.548\ntestset: URL, BLEU: 26.7, chr-F: 0.557\ntestset: URL, BLEU: 28.9, chr-F: 0.583\ntestset: URL, BLEU: 28.9, chr-F: 0.567\ntestset: URL, BLEU: 29.6, chr-F: 0.574\ntestset: URL, BLEU: 33.8, chr-F: 0.598\ntestset: URL, BLEU: 30.9, chr-F: 0.590\ntestset: URL, BLEU: 34.8, chr-F: 0.598\ntestset: URL, BLEU: 29.1, chr-F: 0.574\ntestset: URL, BLEU: 34.9, chr-F: 0.600\ntestset: URL, BLEU: 30.1, chr-F: 0.567\ntestset: URL, BLEU: 31.8, chr-F: 0.576\ntestset: URL, BLEU: 25.9, chr-F: 0.548\ntestset: URL, BLEU: 1.6, chr-F: 0.120\ntestset: URL, BLEU: 17.2, chr-F: 0.389\ntestset: URL, BLEU: 47.6, chr-F: 0.668\ntestset: URL, BLEU: 4.3, chr-F: 0.287\ntestset: URL, BLEU: 0.9, chr-F: 0.101\ntestset: URL, BLEU: 8.7, chr-F: 0.287\ntestset: URL, BLEU: 44.9, chr-F: 0.635\ntestset: URL, BLEU: 1.0, chr-F: 0.225\ntestset: URL, BLEU: 0.7, chr-F: 0.115\ntestset: URL, BLEU: 44.9, chr-F: 0.648\ntestset: URL, BLEU: 30.9, chr-F: 0.533\ntestset: URL, BLEU: 45.4, chr-F: 0.673\ntestset: URL, BLEU: 5.6, chr-F: 0.279\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 1.4, chr-F: 0.183\ntestset: URL, BLEU: 0.5, chr-F: 0.199\ntestset: URL, BLEU: 0.7, chr-F: 0.187\ntestset: URL, BLEU: 83.6, chr-F: 0.909\ntestset: URL, BLEU: 31.3, chr-F: 0.549\ntestset: URL, BLEU: 38.0, chr-F: 0.588\ntestset: URL, BLEU: 2.7, chr-F: 0.322\ntestset: URL, BLEU: 8.2, chr-F: 0.293\ntestset: URL, BLEU: 46.7, chr-F: 0.663\ntestset: URL, BLEU: 2.1, chr-F: 0.194\ntestset: URL, BLEU: 41.2, chr-F: 0.635\ntestset: URL, BLEU: 2.6, chr-F: 0.237\ntestset: URL, BLEU: 40.6, chr-F: 0.632\ntestset: URL, BLEU: 1.6, chr-F: 0.181\ntestset: URL, BLEU: 49.5, chr-F: 0.685\ntestset: URL, BLEU: 1.6, chr-F: 0.223\ntestset: URL, BLEU: 7.1, chr-F: 0.250", "### System Info:\n\n\n* hf\\_name: eng-itc\n* source\\_languages: eng\n* target\\_languages: itc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: itc\n* short\\_pair: en-itc\n* chrF2\\_score: 0.588\n* bleu: 38.0\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 73951.0\n* src\\_name: English\n* tgt\\_name: Italic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: itc\n* prefer\\_old: False\n* long\\_pair: eng-itc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 85, 1396, 707 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #it #ca #rm #es #ro #gl #sc #co #wa #pt #oc #an #id #fr #ht #itc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-itc\n\n\n* source group: English\n* target group: Italic languages\n* OPUS readme: eng-itc\n* model: transformer\n* source language(s): eng\n* target language(s): arg ast cat cos egl ext fra frm\\_Latn gcf\\_Latn glg hat ind ita lad lad\\_Latn lat\\_Latn lij lld\\_Latn lmo max\\_Latn mfe min mwl oci pap pms por roh ron scn spa tmw\\_Latn vec wln zlm\\_Latn zsm\\_Latn\n* 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: 27.1, chr-F: 0.565\ntestset: URL, BLEU: 29.9, chr-F: 0.574\ntestset: URL, BLEU: 35.3, chr-F: 0.609\ntestset: URL, BLEU: 27.7, chr-F: 0.567\ntestset: URL, BLEU: 28.6, chr-F: 0.586\ntestset: URL, BLEU: 29.8, chr-F: 0.569\ntestset: URL, BLEU: 25.0, chr-F: 0.536\ntestset: URL, BLEU: 27.1, chr-F: 0.548\ntestset: URL, BLEU: 26.7, chr-F: 0.557\ntestset: URL, BLEU: 28.9, chr-F: 0.583\ntestset: URL, BLEU: 28.9, chr-F: 0.567\ntestset: URL, BLEU: 29.6, chr-F: 0.574\ntestset: URL, BLEU: 33.8, chr-F: 0.598\ntestset: URL, BLEU: 30.9, chr-F: 0.590\ntestset: URL, BLEU: 34.8, chr-F: 0.598\ntestset: URL, BLEU: 29.1, chr-F: 0.574\ntestset: URL, BLEU: 34.9, chr-F: 0.600\ntestset: URL, BLEU: 30.1, chr-F: 0.567\ntestset: URL, BLEU: 31.8, chr-F: 0.576\ntestset: URL, BLEU: 25.9, chr-F: 0.548\ntestset: URL, BLEU: 1.6, chr-F: 0.120\ntestset: URL, BLEU: 17.2, chr-F: 0.389\ntestset: URL, BLEU: 47.6, chr-F: 0.668\ntestset: URL, BLEU: 4.3, chr-F: 0.287\ntestset: URL, BLEU: 0.9, chr-F: 0.101\ntestset: URL, BLEU: 8.7, chr-F: 0.287\ntestset: URL, BLEU: 44.9, chr-F: 0.635\ntestset: URL, BLEU: 1.0, chr-F: 0.225\ntestset: URL, BLEU: 0.7, chr-F: 0.115\ntestset: URL, BLEU: 44.9, chr-F: 0.648\ntestset: URL, BLEU: 30.9, chr-F: 0.533\ntestset: URL, BLEU: 45.4, chr-F: 0.673\ntestset: URL, BLEU: 5.6, chr-F: 0.279\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 1.4, chr-F: 0.183\ntestset: URL, BLEU: 0.5, chr-F: 0.199\ntestset: URL, BLEU: 0.7, chr-F: 0.187\ntestset: URL, BLEU: 83.6, chr-F: 0.909\ntestset: URL, BLEU: 31.3, chr-F: 0.549\ntestset: URL, BLEU: 38.0, chr-F: 0.588\ntestset: URL, BLEU: 2.7, chr-F: 0.322\ntestset: URL, BLEU: 8.2, chr-F: 0.293\ntestset: URL, BLEU: 46.7, chr-F: 0.663\ntestset: URL, BLEU: 2.1, chr-F: 0.194\ntestset: URL, BLEU: 41.2, chr-F: 0.635\ntestset: URL, BLEU: 2.6, chr-F: 0.237\ntestset: URL, BLEU: 40.6, chr-F: 0.632\ntestset: URL, BLEU: 1.6, chr-F: 0.181\ntestset: URL, BLEU: 49.5, chr-F: 0.685\ntestset: URL, BLEU: 1.6, chr-F: 0.223\ntestset: URL, BLEU: 7.1, chr-F: 0.250### System Info:\n\n\n* hf\\_name: eng-itc\n* source\\_languages: eng\n* target\\_languages: itc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat\\_Latn', 'lad\\_Latn', 'pcd', 'lat\\_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'lld\\_Latn', 'min', 'tmw\\_Latn', 'cos', 'wln', 'zlm\\_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max\\_Latn', 'frm\\_Latn', 'scn', 'mfe'}\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: itc\n* short\\_pair: en-itc\n* chrF2\\_score: 0.588\n* bleu: 38.0\n* brevity\\_penalty: 0.9670000000000001\n* ref\\_len: 73951.0\n* src\\_name: English\n* tgt\\_name: Italic languages\n* train\\_date: 2020-08-01\n* src\\_alpha2: en\n* tgt\\_alpha2: itc\n* prefer\\_old: False\n* long\\_pair: eng-itc\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-en-jap * source languages: en * target languages: jap * OPUS readme: [en-jap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-jap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.en.jap \| 42.1 \| 0.960 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-jap	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "jap", "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 #en #jap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-jap * source languages: en * target languages: jap * OPUS readme: en-jap * dataset: 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: 0.960	[ "### opus-mt-en-jap\n\n\n* source languages: en\n* target languages: jap\n* OPUS readme: en-jap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.960" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #jap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-jap\n\n\n* source languages: en\n* target languages: jap\n* OPUS readme: en-jap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.960" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #jap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-jap\n\n\n* source languages: en\n* target languages: jap\n* OPUS readme: en-jap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\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: 0.960" ]
translation	transformers	### opus-mt-en-kg * source languages: en * target languages: kg * OPUS readme: [en-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.kg \| 39.6 \| 0.613 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-kg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-kg * source languages: en * target languages: kg * OPUS readme: en-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: 39.6, chr-F: 0.613	[ "### opus-mt-en-kg\n\n\n* source languages: en\n* target languages: kg\n* OPUS readme: en-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: 39.6, chr-F: 0.613" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-kg\n\n\n* source languages: en\n* target languages: kg\n* OPUS readme: en-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: 39.6, chr-F: 0.613" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-kg\n\n\n* source languages: en\n* target languages: kg\n* OPUS readme: en-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: 39.6, chr-F: 0.613" ]
translation	transformers	### opus-mt-en-kj * source languages: en * target languages: kj * OPUS readme: [en-kj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kj/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/en-kj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.kj \| 29.6 \| 0.539 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-kj	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "kj", "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 #en #kj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-kj * source languages: en * target languages: kj * OPUS readme: en-kj * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.6, chr-F: 0.539	[ "### opus-mt-en-kj\n\n\n* source languages: en\n* target languages: kj\n* OPUS readme: en-kj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.539" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-kj\n\n\n* source languages: en\n* target languages: kj\n* OPUS readme: en-kj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.539" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-kj\n\n\n* source languages: en\n* target languages: kj\n* OPUS readme: en-kj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.6, chr-F: 0.539" ]
translation	transformers	### opus-mt-en-kqn * source languages: en * target languages: kqn * OPUS readme: [en-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kqn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.kqn \| 33.1 \| 0.567 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-kqn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-kqn * source languages: en * target languages: kqn * OPUS readme: en-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: 33.1, chr-F: 0.567	[ "### opus-mt-en-kqn\n\n\n* source languages: en\n* target languages: kqn\n* OPUS readme: en-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: 33.1, chr-F: 0.567" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-kqn\n\n\n* source languages: en\n* target languages: kqn\n* OPUS readme: en-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: 33.1, chr-F: 0.567" ]	[ 53, 112 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-kqn\n\n\n* source languages: en\n* target languages: kqn\n* OPUS readme: en-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: 33.1, chr-F: 0.567" ]
translation	transformers	### opus-mt-en-kwn * source languages: en * target languages: kwn * OPUS readme: [en-kwn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.kwn \| 27.6 \| 0.513 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-kwn	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "kwn", "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 #en #kwn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-kwn * source languages: en * target languages: kwn * OPUS readme: en-kwn * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.6, chr-F: 0.513	[ "### opus-mt-en-kwn\n\n\n* source languages: en\n* target languages: kwn\n* OPUS readme: en-kwn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.513" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kwn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-kwn\n\n\n* source languages: en\n* target languages: kwn\n* OPUS readme: en-kwn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.513" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kwn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-kwn\n\n\n* source languages: en\n* target languages: kwn\n* OPUS readme: en-kwn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.513" ]
translation	transformers	### opus-mt-en-kwy * source languages: en * target languages: kwy * OPUS readme: [en-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwy/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.kwy \| 33.6 \| 0.543 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-kwy	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-kwy * source languages: en * target languages: kwy * OPUS readme: en-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: 33.6, chr-F: 0.543	[ "### opus-mt-en-kwy\n\n\n* source languages: en\n* target languages: kwy\n* OPUS readme: en-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: 33.6, chr-F: 0.543" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-kwy\n\n\n* source languages: en\n* target languages: kwy\n* OPUS readme: en-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: 33.6, chr-F: 0.543" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-kwy\n\n\n* source languages: en\n* target languages: kwy\n* OPUS readme: en-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: 33.6, chr-F: 0.543" ]
translation	transformers	### opus-mt-en-lg * source languages: en * target languages: lg * OPUS readme: [en-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lg \| 30.4 \| 0.543 \| \| Tatoeba.en.lg \| 5.7 \| 0.386 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lg * source languages: en * target languages: lg * OPUS readme: en-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: 30.4, chr-F: 0.543 testset: URL, BLEU: 5.7, chr-F: 0.386	[ "### opus-mt-en-lg\n\n\n* source languages: en\n* target languages: lg\n* OPUS readme: en-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: 30.4, chr-F: 0.543\ntestset: URL, BLEU: 5.7, chr-F: 0.386" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lg\n\n\n* source languages: en\n* target languages: lg\n* OPUS readme: en-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: 30.4, chr-F: 0.543\ntestset: URL, BLEU: 5.7, chr-F: 0.386" ]	[ 52, 132 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lg\n\n\n* source languages: en\n* target languages: lg\n* OPUS readme: en-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: 30.4, chr-F: 0.543\ntestset: URL, BLEU: 5.7, chr-F: 0.386" ]
translation	transformers	### opus-mt-en-ln * source languages: en * target languages: ln * OPUS readme: [en-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.ln \| 36.7 \| 0.588 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-ln	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-ln * source languages: en * target languages: ln * OPUS readme: en-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: 36.7, chr-F: 0.588	[ "### opus-mt-en-ln\n\n\n* source languages: en\n* target languages: ln\n* OPUS readme: en-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: 36.7, chr-F: 0.588" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-ln\n\n\n* source languages: en\n* target languages: ln\n* OPUS readme: en-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: 36.7, chr-F: 0.588" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-ln\n\n\n* source languages: en\n* target languages: ln\n* OPUS readme: en-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: 36.7, chr-F: 0.588" ]
translation	transformers	### opus-mt-en-loz * source languages: en * target languages: loz * OPUS readme: [en-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.loz \| 40.1 \| 0.596 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-loz	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-loz * source languages: en * target languages: loz * OPUS readme: en-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: 40.1, chr-F: 0.596	[ "### opus-mt-en-loz\n\n\n* source languages: en\n* target languages: loz\n* OPUS readme: en-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: 40.1, chr-F: 0.596" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-loz\n\n\n* source languages: en\n* target languages: loz\n* OPUS readme: en-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: 40.1, chr-F: 0.596" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-loz\n\n\n* source languages: en\n* target languages: loz\n* OPUS readme: en-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: 40.1, chr-F: 0.596" ]
translation	transformers	### opus-mt-en-lu * source languages: en * target languages: lu * OPUS readme: [en-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lu \| 34.1 \| 0.564 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lu	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lu * source languages: en * target languages: lu * OPUS readme: en-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: 34.1, chr-F: 0.564	[ "### opus-mt-en-lu\n\n\n* source languages: en\n* target languages: lu\n* OPUS readme: en-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: 34.1, chr-F: 0.564" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lu\n\n\n* source languages: en\n* target languages: lu\n* OPUS readme: en-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: 34.1, chr-F: 0.564" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lu\n\n\n* source languages: en\n* target languages: lu\n* OPUS readme: en-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: 34.1, chr-F: 0.564" ]
translation	transformers	### opus-mt-en-lua * source languages: en * target languages: lua * OPUS readme: [en-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lua \| 35.3 \| 0.578 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lua	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lua * source languages: en * target languages: lua * OPUS readme: en-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: 35.3, chr-F: 0.578	[ "### opus-mt-en-lua\n\n\n* source languages: en\n* target languages: lua\n* OPUS readme: en-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: 35.3, chr-F: 0.578" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lua\n\n\n* source languages: en\n* target languages: lua\n* OPUS readme: en-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: 35.3, chr-F: 0.578" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lua\n\n\n* source languages: en\n* target languages: lua\n* OPUS readme: en-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: 35.3, chr-F: 0.578" ]
translation	transformers	### opus-mt-en-lue * source languages: en * target languages: lue * OPUS readme: [en-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lue/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lue \| 30.1 \| 0.558 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lue	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lue * source languages: en * target languages: lue * OPUS readme: en-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: 30.1, chr-F: 0.558	[ "### opus-mt-en-lue\n\n\n* source languages: en\n* target languages: lue\n* OPUS readme: en-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: 30.1, chr-F: 0.558" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lue\n\n\n* source languages: en\n* target languages: lue\n* OPUS readme: en-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: 30.1, chr-F: 0.558" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lue\n\n\n* source languages: en\n* target languages: lue\n* OPUS readme: en-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: 30.1, chr-F: 0.558" ]
translation	transformers	### opus-mt-en-lun * source languages: en * target languages: lun * OPUS readme: [en-lun](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lun/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lun \| 28.9 \| 0.552 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lun	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "lun", "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 #en #lun #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lun * source languages: en * target languages: lun * OPUS readme: en-lun * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.9, chr-F: 0.552	[ "### opus-mt-en-lun\n\n\n* source languages: en\n* target languages: lun\n* OPUS readme: en-lun\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.552" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lun #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lun\n\n\n* source languages: en\n* target languages: lun\n* OPUS readme: en-lun\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.552" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lun #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lun\n\n\n* source languages: en\n* target languages: lun\n* OPUS readme: en-lun\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.552" ]
translation	transformers	### opus-mt-en-luo * source languages: en * target languages: luo * OPUS readme: [en-luo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-luo/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/en-luo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.luo \| 27.6 \| 0.495 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-luo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "luo", "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 #en #luo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-luo * source languages: en * target languages: luo * OPUS readme: en-luo * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.6, chr-F: 0.495	[ "### opus-mt-en-luo\n\n\n* source languages: en\n* target languages: luo\n* OPUS readme: en-luo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.495" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #luo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-luo\n\n\n* source languages: en\n* target languages: luo\n* OPUS readme: en-luo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.495" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #luo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-luo\n\n\n* source languages: en\n* target languages: luo\n* OPUS readme: en-luo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.6, chr-F: 0.495" ]
translation	transformers	### opus-mt-en-lus * source languages: en * target languages: lus * OPUS readme: [en-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.lus \| 36.8 \| 0.581 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-lus	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-lus * source languages: en * target languages: lus * OPUS readme: en-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: 36.8, chr-F: 0.581	[ "### opus-mt-en-lus\n\n\n* source languages: en\n* target languages: lus\n* OPUS readme: en-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: 36.8, chr-F: 0.581" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-lus\n\n\n* source languages: en\n* target languages: lus\n* OPUS readme: en-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: 36.8, chr-F: 0.581" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-lus\n\n\n* source languages: en\n* target languages: lus\n* OPUS readme: en-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: 36.8, chr-F: 0.581" ]
translation	transformers	### eng-map * source group: English * target group: Austronesian languages * OPUS readme: [eng-map](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md) * model: transformer * source language(s): eng * target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eng-akl.eng.akl \| 2.2 \| 0.103 \| \| Tatoeba-test.eng-ceb.eng.ceb \| 10.7 \| 0.425 \| \| Tatoeba-test.eng-cha.eng.cha \| 3.2 \| 0.201 \| \| Tatoeba-test.eng-dtp.eng.dtp \| 0.5 \| 0.120 \| \| Tatoeba-test.eng-fij.eng.fij \| 26.8 \| 0.453 \| \| Tatoeba-test.eng-gil.eng.gil \| 59.3 \| 0.762 \| \| Tatoeba-test.eng-haw.eng.haw \| 1.0 \| 0.116 \| \| Tatoeba-test.eng-hil.eng.hil \| 19.0 \| 0.517 \| \| Tatoeba-test.eng-iba.eng.iba \| 15.5 \| 0.400 \| \| Tatoeba-test.eng-ilo.eng.ilo \| 33.6 \| 0.591 \| \| Tatoeba-test.eng-jav.eng.jav \| 7.8 \| 0.301 \| \| Tatoeba-test.eng-lkt.eng.lkt \| 1.0 \| 0.064 \| \| Tatoeba-test.eng-mad.eng.mad \| 1.1 \| 0.142 \| \| Tatoeba-test.eng-mah.eng.mah \| 9.1 \| 0.374 \| \| Tatoeba-test.eng-mlg.eng.mlg \| 35.4 \| 0.526 \| \| Tatoeba-test.eng-mri.eng.mri \| 7.6 \| 0.309 \| \| Tatoeba-test.eng-msa.eng.msa \| 31.1 \| 0.565 \| \| Tatoeba-test.eng.multi \| 17.6 \| 0.411 \| \| Tatoeba-test.eng-nau.eng.nau \| 1.4 \| 0.098 \| \| Tatoeba-test.eng-niu.eng.niu \| 40.1 \| 0.560 \| \| Tatoeba-test.eng-pag.eng.pag \| 16.8 \| 0.526 \| \| Tatoeba-test.eng-pau.eng.pau \| 1.9 \| 0.139 \| \| Tatoeba-test.eng-rap.eng.rap \| 2.7 \| 0.090 \| \| Tatoeba-test.eng-smo.eng.smo \| 24.9 \| 0.453 \| \| Tatoeba-test.eng-sun.eng.sun \| 33.2 \| 0.439 \| \| Tatoeba-test.eng-tah.eng.tah \| 12.5 \| 0.278 \| \| Tatoeba-test.eng-tet.eng.tet \| 1.6 \| 0.140 \| \| Tatoeba-test.eng-ton.eng.ton \| 25.8 \| 0.530 \| \| Tatoeba-test.eng-tvl.eng.tvl \| 31.1 \| 0.523 \| \| Tatoeba-test.eng-war.eng.war \| 12.8 \| 0.436 \| ### System Info: - hf_name: eng-map - source_languages: eng - target_languages: map - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'map'] - src_constituents: {'eng'} - tgt_constituents: set() - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt - src_alpha3: eng - tgt_alpha3: map - short_pair: en-map - chrF2_score: 0.41100000000000003 - bleu: 17.6 - brevity_penalty: 1.0 - ref_len: 66963.0 - src_name: English - tgt_name: Austronesian languages - train_date: 2020-07-27 - src_alpha2: en - tgt_alpha2: map - prefer_old: False - long_pair: eng-map - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["en", "map"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-map	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "map", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "en", "map" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #en #map #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### eng-map * source group: English * target group: Austronesian languages * OPUS readme: eng-map * model: transformer * source language(s): eng * target language(s): akl\_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav\_Java lkt mad mah max\_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw\_Latn ton tvl war zlm\_Latn zsm\_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 2.2, chr-F: 0.103 testset: URL, BLEU: 10.7, chr-F: 0.425 testset: URL, BLEU: 3.2, chr-F: 0.201 testset: URL, BLEU: 0.5, chr-F: 0.120 testset: URL, BLEU: 26.8, chr-F: 0.453 testset: URL, BLEU: 59.3, chr-F: 0.762 testset: URL, BLEU: 1.0, chr-F: 0.116 testset: URL, BLEU: 19.0, chr-F: 0.517 testset: URL, BLEU: 15.5, chr-F: 0.400 testset: URL, BLEU: 33.6, chr-F: 0.591 testset: URL, BLEU: 7.8, chr-F: 0.301 testset: URL, BLEU: 1.0, chr-F: 0.064 testset: URL, BLEU: 1.1, chr-F: 0.142 testset: URL, BLEU: 9.1, chr-F: 0.374 testset: URL, BLEU: 35.4, chr-F: 0.526 testset: URL, BLEU: 7.6, chr-F: 0.309 testset: URL, BLEU: 31.1, chr-F: 0.565 testset: URL, BLEU: 17.6, chr-F: 0.411 testset: URL, BLEU: 1.4, chr-F: 0.098 testset: URL, BLEU: 40.1, chr-F: 0.560 testset: URL, BLEU: 16.8, chr-F: 0.526 testset: URL, BLEU: 1.9, chr-F: 0.139 testset: URL, BLEU: 2.7, chr-F: 0.090 testset: URL, BLEU: 24.9, chr-F: 0.453 testset: URL, BLEU: 33.2, chr-F: 0.439 testset: URL, BLEU: 12.5, chr-F: 0.278 testset: URL, BLEU: 1.6, chr-F: 0.140 testset: URL, BLEU: 25.8, chr-F: 0.530 testset: URL, BLEU: 31.1, chr-F: 0.523 testset: URL, BLEU: 12.8, chr-F: 0.436 ### System Info: * hf\_name: eng-map * source\_languages: eng * target\_languages: map * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['en', 'map'] * src\_constituents: {'eng'} * tgt\_constituents: set() * src\_multilingual: False * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: eng * tgt\_alpha3: map * short\_pair: en-map * chrF2\_score: 0.41100000000000003 * bleu: 17.6 * brevity\_penalty: 1.0 * ref\_len: 66963.0 * src\_name: English * tgt\_name: Austronesian languages * train\_date: 2020-07-27 * src\_alpha2: en * tgt\_alpha2: map * prefer\_old: False * long\_pair: eng-map * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### eng-map\n\n\n* source group: English\n* target group: Austronesian languages\n* OPUS readme: eng-map\n* model: transformer\n* source language(s): eng\n* target language(s): akl\\_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav\\_Java lkt mad mah max\\_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw\\_Latn ton tvl war zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.2, chr-F: 0.103\ntestset: URL, BLEU: 10.7, chr-F: 0.425\ntestset: URL, BLEU: 3.2, chr-F: 0.201\ntestset: URL, BLEU: 0.5, chr-F: 0.120\ntestset: URL, BLEU: 26.8, chr-F: 0.453\ntestset: URL, BLEU: 59.3, chr-F: 0.762\ntestset: URL, BLEU: 1.0, chr-F: 0.116\ntestset: URL, BLEU: 19.0, chr-F: 0.517\ntestset: URL, BLEU: 15.5, chr-F: 0.400\ntestset: URL, BLEU: 33.6, chr-F: 0.591\ntestset: URL, BLEU: 7.8, chr-F: 0.301\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 1.1, chr-F: 0.142\ntestset: URL, BLEU: 9.1, chr-F: 0.374\ntestset: URL, BLEU: 35.4, chr-F: 0.526\ntestset: URL, BLEU: 7.6, chr-F: 0.309\ntestset: URL, BLEU: 31.1, chr-F: 0.565\ntestset: URL, BLEU: 17.6, chr-F: 0.411\ntestset: URL, BLEU: 1.4, chr-F: 0.098\ntestset: URL, BLEU: 40.1, chr-F: 0.560\ntestset: URL, BLEU: 16.8, chr-F: 0.526\ntestset: URL, BLEU: 1.9, chr-F: 0.139\ntestset: URL, BLEU: 2.7, chr-F: 0.090\ntestset: URL, BLEU: 24.9, chr-F: 0.453\ntestset: URL, BLEU: 33.2, chr-F: 0.439\ntestset: URL, BLEU: 12.5, chr-F: 0.278\ntestset: URL, BLEU: 1.6, chr-F: 0.140\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 31.1, chr-F: 0.523\ntestset: URL, BLEU: 12.8, chr-F: 0.436", "### System Info:\n\n\n* hf\\_name: eng-map\n* source\\_languages: eng\n* target\\_languages: map\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'map']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: set()\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: map\n* short\\_pair: en-map\n* chrF2\\_score: 0.41100000000000003\n* bleu: 17.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 66963.0\n* src\\_name: English\n* tgt\\_name: Austronesian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: en\n* tgt\\_alpha2: map\n* prefer\\_old: False\n* long\\_pair: eng-map\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 #en #map #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### eng-map\n\n\n* source group: English\n* target group: Austronesian languages\n* OPUS readme: eng-map\n* model: transformer\n* source language(s): eng\n* target language(s): akl\\_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav\\_Java lkt mad mah max\\_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw\\_Latn ton tvl war zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.2, chr-F: 0.103\ntestset: URL, BLEU: 10.7, chr-F: 0.425\ntestset: URL, BLEU: 3.2, chr-F: 0.201\ntestset: URL, BLEU: 0.5, chr-F: 0.120\ntestset: URL, BLEU: 26.8, chr-F: 0.453\ntestset: URL, BLEU: 59.3, chr-F: 0.762\ntestset: URL, BLEU: 1.0, chr-F: 0.116\ntestset: URL, BLEU: 19.0, chr-F: 0.517\ntestset: URL, BLEU: 15.5, chr-F: 0.400\ntestset: URL, BLEU: 33.6, chr-F: 0.591\ntestset: URL, BLEU: 7.8, chr-F: 0.301\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 1.1, chr-F: 0.142\ntestset: URL, BLEU: 9.1, chr-F: 0.374\ntestset: URL, BLEU: 35.4, chr-F: 0.526\ntestset: URL, BLEU: 7.6, chr-F: 0.309\ntestset: URL, BLEU: 31.1, chr-F: 0.565\ntestset: URL, BLEU: 17.6, chr-F: 0.411\ntestset: URL, BLEU: 1.4, chr-F: 0.098\ntestset: URL, BLEU: 40.1, chr-F: 0.560\ntestset: URL, BLEU: 16.8, chr-F: 0.526\ntestset: URL, BLEU: 1.9, chr-F: 0.139\ntestset: URL, BLEU: 2.7, chr-F: 0.090\ntestset: URL, BLEU: 24.9, chr-F: 0.453\ntestset: URL, BLEU: 33.2, chr-F: 0.439\ntestset: URL, BLEU: 12.5, chr-F: 0.278\ntestset: URL, BLEU: 1.6, chr-F: 0.140\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 31.1, chr-F: 0.523\ntestset: URL, BLEU: 12.8, chr-F: 0.436", "### System Info:\n\n\n* hf\\_name: eng-map\n* source\\_languages: eng\n* target\\_languages: map\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'map']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: set()\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: map\n* short\\_pair: en-map\n* chrF2\\_score: 0.41100000000000003\n* bleu: 17.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 66963.0\n* src\\_name: English\n* tgt\\_name: Austronesian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: en\n* tgt\\_alpha2: map\n* prefer\\_old: False\n* long\\_pair: eng-map\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 894, 399 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #map #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### eng-map\n\n\n* source group: English\n* target group: Austronesian languages\n* OPUS readme: eng-map\n* model: transformer\n* source language(s): eng\n* target language(s): akl\\_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav\\_Java lkt mad mah max\\_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw\\_Latn ton tvl war zlm\\_Latn zsm\\_Latn\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.2, chr-F: 0.103\ntestset: URL, BLEU: 10.7, chr-F: 0.425\ntestset: URL, BLEU: 3.2, chr-F: 0.201\ntestset: URL, BLEU: 0.5, chr-F: 0.120\ntestset: URL, BLEU: 26.8, chr-F: 0.453\ntestset: URL, BLEU: 59.3, chr-F: 0.762\ntestset: URL, BLEU: 1.0, chr-F: 0.116\ntestset: URL, BLEU: 19.0, chr-F: 0.517\ntestset: URL, BLEU: 15.5, chr-F: 0.400\ntestset: URL, BLEU: 33.6, chr-F: 0.591\ntestset: URL, BLEU: 7.8, chr-F: 0.301\ntestset: URL, BLEU: 1.0, chr-F: 0.064\ntestset: URL, BLEU: 1.1, chr-F: 0.142\ntestset: URL, BLEU: 9.1, chr-F: 0.374\ntestset: URL, BLEU: 35.4, chr-F: 0.526\ntestset: URL, BLEU: 7.6, chr-F: 0.309\ntestset: URL, BLEU: 31.1, chr-F: 0.565\ntestset: URL, BLEU: 17.6, chr-F: 0.411\ntestset: URL, BLEU: 1.4, chr-F: 0.098\ntestset: URL, BLEU: 40.1, chr-F: 0.560\ntestset: URL, BLEU: 16.8, chr-F: 0.526\ntestset: URL, BLEU: 1.9, chr-F: 0.139\ntestset: URL, BLEU: 2.7, chr-F: 0.090\ntestset: URL, BLEU: 24.9, chr-F: 0.453\ntestset: URL, BLEU: 33.2, chr-F: 0.439\ntestset: URL, BLEU: 12.5, chr-F: 0.278\ntestset: URL, BLEU: 1.6, chr-F: 0.140\ntestset: URL, BLEU: 25.8, chr-F: 0.530\ntestset: URL, BLEU: 31.1, chr-F: 0.523\ntestset: URL, BLEU: 12.8, chr-F: 0.436### System Info:\n\n\n* hf\\_name: eng-map\n* source\\_languages: eng\n* target\\_languages: map\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['en', 'map']\n* src\\_constituents: {'eng'}\n* tgt\\_constituents: set()\n* src\\_multilingual: False\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: eng\n* tgt\\_alpha3: map\n* short\\_pair: en-map\n* chrF2\\_score: 0.41100000000000003\n* bleu: 17.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 66963.0\n* src\\_name: English\n* tgt\\_name: Austronesian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: en\n* tgt\\_alpha2: map\n* prefer\\_old: False\n* long\\_pair: eng-map\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-en-mfe * source languages: en * target languages: mfe * OPUS readme: [en-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mfe/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.en.mfe \| 32.1 \| 0.509 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-mfe	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "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 #en #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-mfe * source languages: en * target languages: mfe * OPUS readme: en-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: 32.1, chr-F: 0.509	[ "### opus-mt-en-mfe\n\n\n* source languages: en\n* target languages: mfe\n* OPUS readme: en-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: 32.1, chr-F: 0.509" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-mfe\n\n\n* source languages: en\n* target languages: mfe\n* OPUS readme: en-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: 32.1, chr-F: 0.509" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-mfe\n\n\n* source languages: en\n* target languages: mfe\n* OPUS readme: en-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: 32.1, chr-F: 0.509" ]
translation	transformers	### opus-mt-en-mg * source languages: en * target languages: mg * OPUS readme: [en-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.en.mg \| 22.3 \| 0.565 \| \| Tatoeba.en.mg \| 35.5 \| 0.548 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-en-mg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "en", "mg", "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 #en #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-en-mg * source languages: en * target languages: mg * OPUS readme: en-mg * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.3, chr-F: 0.565 testset: URL, BLEU: 35.5, chr-F: 0.548	[ "### opus-mt-en-mg\n\n\n* source languages: en\n* target languages: mg\n* OPUS readme: en-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.3, chr-F: 0.565\ntestset: URL, BLEU: 35.5, chr-F: 0.548" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-en-mg\n\n\n* source languages: en\n* target languages: mg\n* OPUS readme: en-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.3, chr-F: 0.565\ntestset: URL, BLEU: 35.5, chr-F: 0.548" ]	[ 51, 129 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #en #mg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-en-mg\n\n\n* source languages: en\n* target languages: mg\n* OPUS readme: en-mg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.3, chr-F: 0.565\ntestset: URL, BLEU: 35.5, chr-F: 0.548" ]

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