
HUTTER-12: H(uBERT) UTTER model covering 12 languages.

* Total training hours: 1,622 from:
  
    Romance= {fr: 300; es: 300; pt: 102.3};

    West-Germanic={da: 3.5; de: 300; nl: 72.1; fy: 41.2;};

    Unrelated={zh-CN: 104.6; ja: 37; ar: 61; sw: 300; gn: 0.4}
* Number of updates: 400k
* Number of iterations: 3
* Clustering approach: mini-batch K-means (100% of the data)

{"language": ["fr", "es", "pt", "da", "de", "nl", "fy", "zh", "ja", "ar", "sw", "gn"], "license": "cc-by-nc-4.0", "library_name": "fairseq", "datasets": ["mozilla-foundation/common_voice_11_0"]}
fairseq pytorch hubert fr es pt da de nl fy zh ja ar sw gn dataset:mozilla-foundation/common_voice_11_0 license:cc-by-nc-4.0 region:us