SmartWhatt/rangsitra-whisper-sm-append-0.25

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: 6.0422
• Wer: 20.0676
• Loss: 0.1820

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: 1524
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Wer	Validation Loss
0.1598	1.0	3049	8.4269	29.2094	0.1968
0.0934	2.0	6098	7.3179	24.4499	0.1694
0.0615	3.0	9147	7.0674	23.7152	0.1757
0.0166	4.0	12196	6.2759	20.7814	0.1768
0.0034	5.0	15245	6.0422	20.0676	0.1820

Framework versions

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