Automatic Speech Recognition
Transformers
Safetensors
German
whisper
Eval Results
Inference Endpoints
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@@ -5,19 +5,23 @@ language:
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  library_name: transformers
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  pipeline_tag: automatic-speech-recognition
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  model-index:
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- - name: whisper-large-v3-turbo-german by Florian Zimmermeister @primeLine
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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: German ASR Data-Mix
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- type: flozi00/asr-german-mixed
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- metrics:
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- - type: wer
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- value: 4.77 %
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- name: Test WER
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-
 
 
 
 
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  ---
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  ### Summary
@@ -66,6 +70,7 @@ The training of the model was performed with the following hyperparameters
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  - Epochs: 3
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  - Learning rate: 1e-6
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  - Data augmentation: No
 
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  ### How to use
 
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  library_name: transformers
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  pipeline_tag: automatic-speech-recognition
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  model-index:
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+ - name: whisper-large-v3-turbo-german by Florian Zimmermeister @primeLine
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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: German ASR Data-Mix
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+ type: flozi00/asr-german-mixed
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+ metrics:
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+ - type: wer
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+ value: 4.77 %
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+ name: Test WER
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+ datasets:
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+ - flozi00/asr-german-mixed
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+ - flozi00/asr-german-mixed-evals
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+ base_model:
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+ - openai/whisper-large-v3-turbo
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  ---
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  ### Summary
 
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  - Epochs: 3
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  - Learning rate: 1e-6
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  - Data augmentation: No
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+ - Optimizer: [Ademamix](https://arxiv.org/abs/2409.03137)
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  ### How to use