README.md

---
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](https://github.com/mozilla-ai/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