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whisper-medium-sundanese
saddadnabbil/whisper-medium-sundanese
whisper-medium-sundanese is a automatic speech recognition model from saddadnabbil. 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
- Jan 2, 2026
- Updated
- Jan 2, 2026
- SHA
- 80613a5b
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-medium-sundanese
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0250
- Wer: 2.9531
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0901 | 0.2286 | 500 | 0.0849 | 9.8180 |
| 0.0475 | 0.4571 | 1000 | 0.0526 | 5.0729 |
| 0.0332 | 0.6857 | 1500 | 0.0390 | 9.4872 |
| 0.0394 | 0.9143 | 2000 | 0.0349 | 3.9578 |
| 0.0066 | 1.1426 | 2500 | 0.0303 | 16.5452 |
| 0.0122 | 1.3712 | 3000 | 0.0280 | 7.1468 |
| 0.0088 | 1.5998 | 3500 | 0.0275 | 2.4537 |
| 0.0053 | 1.8283 | 4000 | 0.0262 | 2.8857 |
| 0.0044 | 2.0567 | 4500 | 0.0253 | 4.2672 |
| 0.0017 | 2.2853 | 5000 | 0.0250 | 2.9531 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 2, 2026
- Updated
- Jan 2, 2026