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whisper-small-uz
mrmuminov/whisper-small-uz
whisper-small-uz is a automatic speech recognition model from mrmuminov. 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
- Mar 16, 2024
- Updated
- Jul 11, 2025
- SHA
- cb2905a1
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. -->
Whisper Small UZ - Bahriddin Muminov
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2593
- Wer: 24.4634
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: 8
- seed: 42
- 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: 1000
- training_steps: 57000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.357 | 0.0352 | 2000 | 0.4996 | 42.0801 |
| 0.2917 | 0.0704 | 4000 | 0.4227 | 36.4010 |
| 0.2222 | 0.1056 | 6000 | 0.3806 | 36.8330 |
| 0.2127 | 0.1408 | 8000 | 0.3559 | 31.9044 |
| 0.2131 | 0.1760 | 10000 | 0.3392 | 32.2440 |
| 0.2283 | 0.2112 | 12000 | 0.3387 | 30.3111 |
| 0.2056 | 0.2464 | 14000 | 0.3301 | 29.3033 |
| 0.1956 | 0.2816 | 16000 | 0.3195 | 30.3610 |
| 0.1819 | 0.3168 | 18000 | 0.3076 | 30.7056 |
| 0.1969 | 0.3520 | 20000 | 0.3033 | 29.4395 |
| 0.156 | 0.3872 | 22000 | 0.3137 | 28.3081 |
| 0.1521 | 0.4224 | 24000 | 0.2946 | 28.2145 |
| 0.1736 | 0.4576 | 26000 | 0.2952 | 27.6800 |
| 0.1647 | 0.4928 | 28000 | 0.2889 | 26.7835 |
| 0.1596 | 0.5280 | 30000 | 0.2923 | 26.6998 |
| 0.1586 | 0.5632 | 32000 | 0.2821 | 26.6561 |
| 0.1299 | 0.5984 | 34000 | 0.2775 | 26.9783 |
| 0.1564 | 0.6336 | 36000 | 0.2811 | 26.4600 |
| 0.1525 | 0.6688 | 38000 | 0.2699 | 26.7485 |
| 0.1469 | 0.7041 | 40000 | 0.2699 | 26.2765 |
| 0.1362 | 0.7393 | 42000 | 0.2666 | 25.4761 |
| 0.1268 | 0.7745 | 44000 | 0.2590 | 26.6236 |
| 0.1389 | 0.8097 | 46000 | 0.2617 | 25.5485 |
| 0.1277 | 0.8449 | 48000 | 0.2600 | 24.7443 |
| 0.1312 | 0.8801 | 50000 | 0.2633 | 24.9579 |
| 0.1431 | 0.9153 | 52000 | 0.2604 | 24.8180 |
| 0.1366 | 0.9505 | 54000 | 0.2601 | 24.4384 |
| 0.1363 | 0.9857 | 56000 | 0.2593 | 24.4634 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- uz
- Created
- Mar 16, 2024
- Updated
- Jul 11, 2025