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