---
language:
- af
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Tiny af
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Fleurs
      type: google/fleurs
      config: af_za
      split: test
      args: af_za
    metrics:
    - name: Wer
      type: wer
      value: 49.523809523809526
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper Tiny af

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Fleurs dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2862
- Wer: 49.5238
- Cer: 21.6345

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.04
- training_steps: 600

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 0.9449        | 3.0017  | 100  | 1.3743          | 55.2381 | 21.4644 |
| 0.4604        | 6.0033  | 200  | 1.2738          | 51.1515 | 20.4000 |
| 0.2774        | 9.005   | 300  | 1.2614          | 49.8528 | 20.9014 |
| 0.1969        | 12.0067 | 400  | 1.2717          | 50.2857 | 21.6315 |
| 0.1467        | 15.0083 | 500  | 1.2801          | 49.7662 | 21.5113 |
| 0.1375        | 18.01   | 600  | 1.2862          | 49.5238 | 21.6345 |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

## Citation

Please cite the model using the following BibTeX entry:

```bibtex
@misc{deepdml/whisper-tiny-af-fleurs-norm,
      title={Fine-tuned Whisper tiny ASR model for speech recognition in Afrikaans},
      author={Jimenez, David},
      howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-af-fleurs-norm}},
      year={2026}
    }
```