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---
license: apache-2.0
language:
- de
library_name: transformers
pipeline_tag: automatic-speech-recognition
---
# whisper-tiny-german
This model is a German Speech Recognition model based on the [whisper-tiny](https://huggingface.co/openai/whisper-tiny) model.
The model weights count 37.8M parameters and with a size of 73MB in bfloat16 format.
As a follow-up to the [Whisper large v3 german](https://huggingface.co/primeline/whisper-large-v3-german) we decided to create a tiny version to be used in edge cases where the model size is a concern.
## Intended uses & limitations
The model is intended to be used for German speech recognition tasks.
It is designed to be used for edge cases where the model size is a concern.
It's not recommended to use this model for critical use cases, as it is a tiny model and may not perform well in all scenarios.
## Dataset
The dataset used for training is a filtered subset of the [Common Voice](https://huggingface.co/datasets/common_voice) dataset, multilingual librispeech and some internal data.
The data was filtered and double checked for quality and correctness.
We did some normalization to the text data, especially for casing and punctuation.
## Model family
| Model | Parameters | link |
|----------------------------------|------------|--------------------------------------------------------------|
| Whisper large v3 german | 1.54B | [link](https://huggingface.co/primeline/whisper-large-v3-german) |
| Distil-whisper large v3 german | 756M | [link](https://huggingface.co/primeline/whisper-large-v3-german) |
| tiny whisper | 37.8M | [link](https://huggingface.co/primeline/whisper-tiny-german) |
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- total_train_batch_size: 512
- num_epochs: 5.0
### Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.18.0
- Tokenizers 0.15.2
## [About us](https://primeline-ai.com/en/)
[](https://primeline-ai.com/en/)
Your partner for AI infrastructure in Germany <br>
Experience the powerful AI infrastructure that drives your ambitions in Deep Learning, Machine Learning & High-Performance Computing. Optimized for AI training and inference.
Model author: [Florian Zimmermeister](https://huggingface.co/flozi00) |