---
language:
- fi
license: apache-2.0
tags:
- whisper-event
- finnish
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
metrics:
- wer
- cer
model-index:
- name: Whisper Large V3 Finnish
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: fi
      split: test
      args: fi
    metrics:
    - name: Wer
      type: wer
      value: 8.23
    - name: Cer
      type: cer
      value: 1.43
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: FLEURS
      type: google/fleurs
      config: fi_fi
      split: test
      args: fi_fi
    metrics:
    - name: Wer
      type: wer
      value: 8.21
    - name: Cer
      type: cer
      value: 3.23
---

<h3>This is our improved Whisper model that is now finetuned from OpenAI Whisper Large V3 </h3>
<p>We improve from our finetuned V2 model:</p>
<p>CV11 WER 10.42 --> 8.23</p>
<p>Fleurs WER 10.20 --> 8.21</p>

<br></br>

Original Whisper Large V3
- CV11
  - WER: 14.81
  - WER NORMALIZED: 10.82
  - CER: 2.7
  - CER NORMALIZED: 2.07

- Fleurs
  - WER: 12.04
  - WER NORMALIZED: 9.63
  - CER: 2.48
  - CER NORMALIZED: 3.64


After Finetuning V3:

  - @14000 steps
    - CV11
      - WER: 11.36
      - WER NORMALIZED: 8.31
      - CER: 1.93
      - CER NORMALIZED: 1.48

    - Fleurs
      - WER: 10.2
      - WER NORMALIZED: 8.56
      - CER: 2.26
      - CER NORMALIZED: 3.54

  - @32000 steps
    - CV11
      - WER: 11.47
      - WER NORMALIZED: 8.23
      - CER: 1.91
      - CER NORMALIZED: 1.43

    - Fleurs
      - WER: 10.1
      - WER NORMALIZED: 8.21
      - CER: 2.2
      - CER NORMALIZED: 3.23