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abeeranajam31
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Model Details
Model Provider
abeeranajam31
Model Tree
khawajaaliarshad/whisper-small-urdu
Input Modalities
Output Modalities
Supported Functionality
The model demonstrates strong phonetic accuracy, particularly in handling the complex morphology of the Urdu language.
| Metric | Value |
|---|---|
| Word Error Rate (WER) | 35.44% |
| Character Error Rate (CER) | 12.05% |
| Final Validation Loss | 0.6692 |
| Step | Training Loss | Validation Loss |
|---|---|---|
| 100 | 1.6249 | 1.0378 |
| 200 | 0.2065 | 0.6495 |
| 300 | 0.0993 | 0.6692 |
Note: Training was concluded at 300 steps as the Validation Loss began to plateau, indicating optimal convergence and preventing overfitting.
Developed by: Abeera Najam
Location: Ghulam Ishaq Khan Institute (GIKI), Pakistan.