transformers pytorch safetensors whisper automatic-speech-recognition de license:apache-2.0 model-index endpoints_compatible region:us
---
license: apache-2.0
language:
- de
library_name: transformers
pipeline_tag: automatic-speech-recognition
model-index:
  - name: whisper-large-v3-german by Florian Zimmermeister @primeLine
    results:
      - task:
          type: automatic-speech-recognition
          name: Speech Recognition
        dataset:
          name: Common Voice de
          type: common_voice_15
          args: de
        metrics:
          - type: wer
            value: 3.002 %
            name: Test WER
          - type: cer
            value: 0.81 %
            name: Test CER

---


### Summary
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.



### Applications
This model can be used in various application areas, including

- Transcription of spoken German language
- Voice commands and voice control
- Automatic subtitling for German videos
- Voice-based search queries in German
- Dictation functions in word processing programs


### Training data
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.


### Training process
The training of the model was performed with the following hyperparameters

- Batch size: 1024
- Epochs: 2
- Learning rate: 1e-5
- Data augmentation: No

Model author: [Florian Zimmermeister](https://huggingface.co/flozi00)