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README.md
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library_name: fairseq
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HUTTER-12: H(uBERT) UTTER model covering 12 languages
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* Total training hours: 1,622 from:
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Romance= {fr: 300; es: 300; pt: 102.3};
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West-Germanic={da: 3.5; de: 300; nl: 72.1; fy: 41.2;};
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Unrelated={zh-CN: 104.6; ja: 37; ar: 61; sw: 300; gn: 0.4}
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* Number of updates: 400k
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* Number of iterations: 3
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* Clustering approach: mini-batch K-means (100% of the data)
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* Dataset: CommonVoice v13
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library_name: fairseq
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**HUTTER-12: H(uBERT) UTTER model covering 12 languages.**
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* Total training hours: 1,622 from Romance (French: 300h, Spanish: 300h, Portuguese: 102.3h), West-Germanic (Danish: 3.5h, German: 300h, Dutch: 72.1h, Frisian: 41.2h) and other languages (Chinese (zh-CN): 104.6h, Japanese: 37h, Arabic: 61h, Swahili 300h, Guaraní: 0.4h)
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* Number of updates: 400K
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* Number of iterations: 3
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* Clustering approach: mini-batch K-means (100% of the data)
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* Dataset: CommonVoice v13
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