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pashto-whisper-small
karimnaimy/pashto-whisper-small
pashto-whisper-small is a automatic speech recognition model from karimnaimy. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 22, 2026
- Updated
- Jul 5, 2026
- SHA
- b9f077fe
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
pashto-voice-modal
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6031
- Wer: 0.3234
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4989 | 3.3333 | 500 | 0.4834 | 0.4674 |
| 0.0944 | 6.6667 | 1000 | 0.5559 | 0.4611 |
| 0.0166 | 10.0 | 1500 | 0.6398 | 0.4512 |
| 0.6217 | 1.2797 | 2000 | 0.4274 | 0.4084 |
| 0.5870 | 1.5997 | 2500 | 0.3868 | 0.3689 |
| 0.5616 | 1.9197 | 3000 | 0.3637 | 0.3480 |
| 0.3566 | 2.2394 | 3500 | 0.3656 | 0.3371 |
| 0.3577 | 2.5594 | 4000 | 0.3569 | 0.3353 |
| 0.3836 | 2.8794 | 4500 | 0.3460 | 0.3294 |
| 0.2361 | 3.1990 | 5000 | 0.3615 | 0.3264 |
| 0.2615 | 3.5190 | 5500 | 0.3611 | 0.3269 |
| 0.2261 | 3.8390 | 6000 | 0.3613 | 0.3163 |
| 0.1367 | 4.1587 | 6500 | 0.3863 | 0.3313 |
| 0.1311 | 4.4787 | 7000 | 0.3953 | 0.3196 |
| 0.1461 | 4.7987 | 7500 | 0.3938 | 0.3207 |
| 0.0687 | 5.1184 | 8000 | 0.4159 | 0.3188 |
| 0.0712 | 5.4384 | 8500 | 0.4247 | 0.3218 |
| 0.0637 | 5.7584 | 9000 | 0.4341 | 0.3270 |
| 0.0272 | 6.0781 | 9500 | 0.4626 | 0.3214 |
| 0.0265 | 6.3981 | 10000 | 0.4743 | 0.3249 |
| 0.0286 | 6.7181 | 10500 | 0.4840 | 0.3283 |
| 0.0130 | 7.0378 | 11000 | 0.5048 | 0.3252 |
| 0.0140 | 7.3578 | 11500 | 0.5258 | 0.3232 |
| 0.0149 | 7.6778 | 12000 | 0.5335 | 0.3239 |
| 0.0099 | 7.9978 | 12500 | 0.5436 | 0.3253 |
| 0.0060 | 8.3174 | 13000 | 0.5647 | 0.3247 |
| 0.0042 | 8.6374 | 13500 | 0.5766 | 0.3242 |
| 0.0036 | 8.9574 | 14000 | 0.5812 | 0.3237 |
| 0.0030 | 9.2771 | 14500 | 0.5961 | 0.3236 |
| 0.0020 | 9.5971 | 15000 | 0.6007 | 0.3228 |
| 0.0028 | 9.9171 | 15500 | 0.6031 | 0.3232 |
| 0.0033 | 10.0 | 15630 | 0.6031 | 0.3234 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.6.0+cu124
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 22, 2026
- Updated
- Jul 5, 2026