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whisper-urdu-raw-mega
sny2ksa/whisper-urdu-raw-mega
whisper-urdu-raw-mega is a automatic speech recognition model from sny2ksa. Use it when you need speech turned into text. 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
- Task
- Automatic Speech Recognition
- Library
- peft
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 12, 2026
- Updated
- Aug 13, 2026
- SHA
- 3ef4ba09
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-urdu-raw-mega
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: nan
- Wer: 1.0
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 100
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 0.3204 | 200 | nan | 1.0 |
| 0.0 | 0.6409 | 400 | nan | 1.0 |
| 0.0 | 0.9613 | 600 | nan | 1.0 |
| 0.0 | 1.2804 | 800 | nan | 1.0 |
Framework versions
- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- peft
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 12, 2026
- Updated
- Aug 13, 2026