readme: ---
  language:
  - la
  license: agpl-3.0
  tags:
  - robust-speech-event
  - hf-asr-leaderboard
  datasets:
  - lsb/poetaexmachina-mp3-recitations
  metrics:
  - wer
  model-index:
  - name: wav2vec2-base-it-latin
    results:
    - task:
        type: automatic-speech-recognition
        name: Speech Recognition
      dataset:
        type: lsb/poetaexmachina-mp3-recitations
        name: Poeta Ex Machina mp3 recitations
      metrics:
      - type: wer
        value: 0.398
        name: Test WER
  ---
  ---
  
  # wav2vec2-base-it-latin
  
  This model is a fine-tuned version of [wav2vec2-base-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-base-it-voxpopuli)
  
  The dataset used is the [poetaexmachina-mp3-recitations](https://github.com/lsb/poetaexmachina-mp3-recitations),
  all of the 2-series texts (vergil) and every tenth 1-series text (words from Poeta Ex Machina's [database](https://github.com/lsb/poetaexmachina/blob/master/merged-scansions.db) of words with scansions).
  
  It achieves the following [results](https://github.com/lsb/tironiculum/blame/trunk/wav2vec2%20base%20it%20latin.ipynb#L1234) on the evaluation set:
  
  - Loss: 0.1943
  - WER: 0.398
  