S-Sethisak/whisper-small-kh

Whisper Small kh - Sethisak San

This model is a fine-tuned version of openai/whisper-small on the KhmerAsrDataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.1773
• Wer: 96.2162
• Cer: 26.6836

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: 16
• eval_batch_size: 8
• seed: 42
• 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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0916	3.2154	1000	0.1611	97.4775	30.2389
0.0112	6.4309	2000	0.1518	96.3964	27.3481
0.0015	9.6463	3000	0.1706	97.2973	26.4233
0.0003	12.8617	4000	0.1773	96.2162	26.6836

Framework versions

• Transformers 4.48.0
• Pytorch 2.8.0+cu126
• Datasets 2.14.7
• Tokenizers 0.21.4