| --- |
| 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} |
| } |
| ``` |
| |
