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--- |
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license: apache-2.0 |
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language: |
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- de |
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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-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: Common Voice de |
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type: common_voice_15 |
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args: de |
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metrics: |
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- type: wer |
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value: 3.002 % |
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name: Test WER |
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- type: cer |
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value: 0.81 % |
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name: Test CER |
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--- |
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### Summary |
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This model map provides information about a model based on Whisper Large v3 that has been fine-tuned for speech recognition in German. Whisper is a powerful speech recognition platform developed by OpenAI. This model has been specially optimized for processing and recognizing German speech. |
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### Applications |
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This model can be used in various application areas, including |
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- Transcription of spoken German language |
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- Voice commands and voice control |
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- Automatic subtitling for German videos |
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- Voice-based search queries in German |
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- Dictation functions in word processing programs |
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### Training data |
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The training data for this model includes a large amount of spoken German from various sources. The data was carefully selected and processed to optimize recognition performance. |
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### Training process |
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The training of the model was performed with the following hyperparameters |
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- Batch size: 1024 |
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- Epochs: 2 |
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- Learning rate: 1e-5 |
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- Data augmentation: No |
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Model author: [Florian Zimmermeister](https://huggingface.co/flozi00) |
