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mibarhim
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Model Details
Model Provider
mibarhim
Model Tree
openai/whisper-small
Input Modalities
Output Modalities
Supported Functionality
| Model | Test set | Clips | WER raw | WER normalized |
|---|---|---|---|---|
| openai/whisper-small | Common Voice 27.0 Pashto | 1,500 | 106.0 | 104.2 |
| whisper-small-pashto | Common Voice 27.0 Pashto | 5,000 | 33.1 | 27.8 |
| openai/whisper-small | Common Voice Spontaneous Speech 5.0 Pashto | 76 | 93.4 | 91.4 |
| whisper-small-pashto | Common Voice Spontaneous Speech 5.0 Pashto | 76 | 40.3 | 33.0 |
Normalized WER ignores punctuation, diacritics and letters Pashto writers use interchangeably (ي/ی, ك/ک, ګ/گ, Arabic-Indic digits), so two spellings of the same words do not count as an error. The untuned model often writes Pashto in Latin letters or adds words, which puts its WER above 100. The spontaneous-speech set is unscripted speech the model was not trained on.
During training, on 500 dev clips: loss 0.3107, raw WER 29.10.
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8218 | 0.1350 | 1000 | 0.4323 | 39.4820 |
| 0.6801 | 0.2699 | 2000 | 0.3679 | 32.7877 |
| 0.5982 | 0.4049 | 3000 | 0.3349 | 29.2206 |
| 0.5473 | 0.5398 | 4000 | 0.3197 | 29.9291 |
| 0.5596 | 0.6748 | 5000 | 0.3107 | 29.0985 |