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whisper-small-finetuned-km-v2
KrorngAI/whisper-small-finetuned-km-v2
whisper-small-finetuned-km-v2 is a automatic speech recognition model from KrorngAI. 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
- Oct 16, 2025
- Updated
- Oct 16, 2025
- SHA
- 88806976
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 Small Kh - Kimang Khun
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: 0.1502
- Wer: 39.3470
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.SGD and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0337 | 0.5587 | 100 | 0.1549 | 36.2614 |
| 0.0324 | 1.1173 | 200 | 0.1550 | 35.7258 |
| 0.0324 | 1.6760 | 300 | 0.1549 | 35.7793 |
| 0.0288 | 2.2346 | 400 | 0.1550 | 35.8329 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- km
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025