|
--- |
|
license: apache-2.0 |
|
language: |
|
- de |
|
library_name: transformers |
|
pipeline_tag: automatic-speech-recognition |
|
--- |
|
|
|
|
|
### 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) |
