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Sam4rano
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Model Details
Model Provider
Sam4rano
Model Tree
openai/whisper-small
Input Modalities
Output Modalities
Supported Functionality
openai/whisper-smallwhisper_finetuneDDD-Kenya/Luhya-ASR-Data-subset-50hSam4rano/Luhya-ASR-Data-subset-50h-whisper-small-finetuned16000 HzThis model/artifact is intended for automatic speech recognition experiments on Kenyan language speech datasets from DDD-Kenya, especially Gusii and Kamba subset experiments. It is suitable for research evaluation, error analysis, and continued ASR adaptation. It should not be used as the sole basis for high-stakes decisions without additional validation by native speakers and domain experts.
The run used bounded, reproducible subsets selected from Hugging Face Datasets.
The exact split metadata is saved in run_manifest.json.
| Split | Selected examples | Estimated hours |
|---|---|---|
| Train | 13337 | 40.00 |
| Validation | 400 | 1.17 |
| Test | 1000 | 2.86 |
Filters:
json
{}
The model was fine-tuned with Hugging Face Seq2SeqTrainer.
lora_fast0.000128train2.0None0.05False / 46.53%Additional metrics and raw run metadata are saved alongside the checkpoint:
test_metrics.json or backend-specific metrics JSONrun_manifest.jsonWHISPER_LANGUAGE=None.run_manifest.json.See run_manifest.json for:
If you use this artifact, cite the original base model authors and the DDD-Kenya dataset source. For Qwen3-ASR baseline experiments, cite the Qwen3-ASR model card and technical report referenced by the upstream repository.
TrueFalseNonetranscribe