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wav2vec2-urdu-finetuned-ASR
abidanoaman/wav2vec2-urdu-finetuned-ASR
wav2vec2-urdu-finetuned-ASR is a automatic speech recognition model from abidanoaman. 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
- wav2vec2
- Access
- Public
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026
- SHA
- c629b9fe
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. -->
wav2vec2-urdu-finetuned-ASR
This model is a fine-tuned version of kingabzpro/wav2vec2-large-xls-r-300m-Urdu on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4310
- Wer: 0.3760
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 100
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0744 | 0.6969 | 50 | 0.5043 | 0.4740 |
| 0.8764 | 1.3902 | 100 | 0.4806 | 0.4469 |
| 0.7693 | 2.0836 | 150 | 0.4633 | 0.4067 |
| 0.6607 | 2.7805 | 200 | 0.4613 | 0.4072 |
| 0.5787 | 3.4739 | 250 | 0.4582 | 0.4004 |
| 0.5612 | 4.1672 | 300 | 0.4384 | 0.3804 |
| 0.5532 | 4.8641 | 350 | 0.4093 | 0.3730 |
| 0.5585 | 5.5575 | 400 | 0.4122 | 0.3872 |
| 0.527 | 6.2509 | 450 | 0.4309 | 0.3793 |
| 0.5722 | 6.9477 | 500 | 0.4310 | 0.3760 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 18, 2026
- Updated
- Jan 18, 2026