SmartWhatt/rangsitra-whisper-sm-append-0.5

Rangsitra Whisper

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Cer: 5.8917
• Wer: 19.5172
• Loss: 0.1831

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: 16
• 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: warmup_stable_decay
• lr_scheduler_warmup_steps: 2027
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Wer	Validation Loss
0.1533	1.0	4055	8.0904	27.9047	0.1870
0.0924	2.0	8110	7.2884	23.5678	0.1661
0.041	3.0	12165	6.9698	22.5751	0.1754
0.0151	4.0	16220	6.1805	20.2715	0.1790
0.0027	5.0	20275	5.8917	19.5172	0.1831

Framework versions

• Transformers 4.52.4
• Pytorch 2.9.1+cu128
• Datasets 3.6.0
• Tokenizers 0.21.4