metadata
language: de
license: apache-2.0
library_name: transformers
tags:
- audio
- automatic-speech-recognition
- speech
- hf-asr-leaderboard
- peft
- lora
datasets:
- common_voice
metrics:
- wer
- cer
inference: true
pipeline_tag: automatic-speech-recognition
base_model: openai/whisper-large-v2
model-index:
- name: whisper-large-german-lora-cv13 by Florian Zimmermeister @A\\\\Ware
results:
- task:
type: automatic-speech-recognition
name: Speech Recognition
dataset:
name: Common Voice de
type: common_voice
args: de
metrics:
- type: wer
value: 2.4500041837503135
name: Test WER
- type: cer
value: 0.9812827135155306
name: Test CER
- task:
type: automatic-speech-recognition
name: Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
args: de_de
metrics:
- type: wer
value: 2.9986468200270635
name: Test WER
- type: cer
value: 1.510723544661796
name: Test CER
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".
The model can be tried for free on https://atra.ai without caring about hosting or installation