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: 0.1933
- Wer: 59.5835
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.SGD and the args are: No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 15
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0863 | 0.5587 | 100 | 0.2045 | 62.8281 |
| 0.0796 | 1.1173 | 200 | 0.2013 | 60.6320 |
| 0.0798 | 1.6760 | 300 | 0.1996 | 60.7927 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.2.0
- Tokenizers 0.22.1
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Model tree for KrorngAI/whisper-small-finetuned-km
Base model
openai/whisper-small