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whisper-kazakh-output
BilalS96/whisper-kazakh-output
whisper-kazakh-output is a machine learning model from BilalS96. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026
- SHA
- cbef0a7c
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-kazakh-output
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2160
- Wer: 0.286
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 6
- total_train_batch_size: 192
- total_eval_batch_size: 32
- optimizer: Use adamw_torch_fused 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: 55
- training_steps: 663
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 21.0919 | 0.1659 | 110 | 0.3962 | 1.898 |
| 14.5363 | 0.3318 | 220 | 0.2967 | 0.4237 |
| 10.9490 | 0.4977 | 330 | 0.2511 | 0.3364 |
| 8.2949 | 0.6637 | 440 | 0.2335 | 0.3201 |
| 6.7211 | 0.8296 | 550 | 0.2190 | 0.2833 |
| 5.8075 | 0.9955 | 660 | 0.2160 | 0.286 |
Framework versions
- PEFT 0.18.1
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026