---
library_name: transformers
language:
- de
license: apache-2.0
base_model: openai/whisper-small
tags:
- automatic-speech-recognition
- generated_from_trainer
datasets:
- openai/whisper-small
metrics:
- wer
model-index:
- name: Whisper Small DE - Maximilian Kenfenheuer
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: openai/whisper-small
      config: de
      split: test
      args: 'config: de, split: validated'
    metrics:
    - name: Wer
      type: wer
      value: 7.5439641517863185
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small DE - Maximilian Kenfenheuer

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1231
- Wer: 7.5440

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1911        | 0.25  | 1000 | 0.1567          | 9.4088 |
| 0.1959        | 0.5   | 2000 | 0.1382          | 8.5261 |
| 0.1843        | 0.75  | 3000 | 0.1285          | 7.8513 |
| 0.2134        | 1.0   | 4000 | 0.1231          | 7.5440 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0