whisper-small-el / README.md
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metadata
base_model: openai/whisper-small
datasets:
  - mozilla-foundation/common_voice_17_0
language: el
library_name: transformers
license: apache-2.0
model-index:
  - name: Finetuned openai/whisper-small on Greek
    results:
      - task:
          type: automatic-speech-recognition
          name: Speech-to-Text
        dataset:
          name: Common Voice (Greek)
          type: common_voice
        metrics:
          - type: wer
            value: 45.632

Finetuned openai/whisper-small on 3620 Greek training audio samples from mozilla-foundation/common_voice_17_0.

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

Evaluation results on 1701 audio samples of Greek:

Baseline model (before finetuning) on Greek

  • Word Error Rate: 46.392
  • Loss: 0.902

Finetuned model (after finetuning) on Greek

  • Word Error Rate: 45.632
  • Loss: 0.869