README.md

metadata

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

The dataset used is the poetaexmachina-mp3-recitations, all of the 2-series texts (vergil) and every tenth 1-series text (words from Poeta Ex Machina's database of words with scansions).

It achieves the following results on the evaluation set:

• Loss: 0.1943
• WER: 0.398