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This is our improved Whisper v3 model that is now finetuned from OpenAI Whisper Large V3

We improve from our previously finetuned Whisper V2 model in the following mannerhttps://huggingface.co/Finnish-NLP/whisper-large-v2-finnish

CV11 (Common Voice 11 test set) WER (Word error rate) 10.42 --> 8.23

Fleurs (A speech recognition test set by Google) WER (Word error rate) 10.20 --> 8.21

Model was trained on Nvidia RTX4080 for 32k steps with batch size 8, gradient accumulation 2


Original OpenAI 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 with Finnish data our V3 got these scores on the test set:

  • @14000 finetuning 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 finetuning 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
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Datasets used to train Finnish-NLP/whisper-large-finnish-v3

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Collection including Finnish-NLP/whisper-large-finnish-v3

Evaluation results