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wav2vec2-base-960h-kurdish-custom
Muayad2025/wav2vec2-base-960h-kurdish-custom
wav2vec2-base-960h-kurdish-custom is a automatic speech recognition model from Muayad2025. 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
- Nov 26, 2025
- Updated
- Dec 5, 2025
- SHA
- 6d23d063
Base models
Datasets
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-base-960h-kurdish-custom
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the audiofolder 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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: 5
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 2.0 | 10 | nan | 1.0 |
| 0.0 | 4.0 | 20 | nan | 1.0 |
| 0.0 | 6.0 | 30 | nan | 1.0 |
| 0.0 | 8.0 | 40 | nan | 1.0 |
| 0.0 | 10.0 | 50 | nan | 1.0 |
| 0.0 | 12.0 | 60 | nan | 1.0 |
| 0.0 | 14.0 | 70 | nan | 1.0 |
| 0.0 | 16.0 | 80 | nan | 1.0 |
| 0.0 | 18.0 | 90 | nan | 1.0 |
| 0.0 | 20.0 | 100 | nan | 1.0 |
| 0.0 | 22.0 | 110 | nan | 1.0 |
| 0.0 | 24.0 | 120 | nan | 1.0 |
| 0.0 | 26.0 | 130 | nan | 1.0 |
| 0.0 | 28.0 | 140 | nan | 1.0 |
| 0.0 | 30.0 | 150 | nan | 1.0 |
| 0.0 | 32.0 | 160 | nan | 1.0 |
| 0.0 | 34.0 | 170 | nan | 1.0 |
| 0.0 | 36.0 | 180 | nan | 1.0 |
| 0.0 | 38.0 | 190 | nan | 1.0 |
| 0.0 | 40.0 | 200 | nan | 1.0 |
| 0.0 | 42.0 | 210 | nan | 1.0 |
| 0.0 | 44.0 | 220 | nan | 1.0 |
| 0.0 | 46.0 | 230 | nan | 1.0 |
| 0.0 | 48.0 | 240 | nan | 1.0 |
| 0.0 | 50.0 | 250 | nan | 1.0 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cpu
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 26, 2025
- Updated
- Dec 5, 2025