---
language: de
inference: false
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- hf-asr-leaderboard
- peft
- lora
license: apache-2.0
model-index:
- name: whisper-large-german-lora-cv13 by Florian Zimmermeister @A\\\\Ware
  results:
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice de
      type: common_voice
      args: de
    metrics:
    - name: Test WER
      type: wer
      value: 2.4500041837503135
    - name: Test CER
      type: cer
      value: 0.9812827135155306
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs
      type: google/fleurs
      args: de_de
    metrics:
    - name: Test WER
      type: wer
      value: 2.9986468200270635
    - name: Test CER
      type: cer
      value: 1.510723544661796
library_name: transformers
pipeline_tag: automatic-speech-recognition
---

This model is the peft lora adapter for whisper
The eval script can be found here https://github.com/flozi00/asr-as-a-service/blob/6d75d398bebe46d2ca84933b15e9f6017075cc97/eval.py containing some normalizations, for example "Stephanie" and "Stefanie" or "seins" and "seines".