whisper-small-id

This model is a fine-tuned version of openai/whisper-small on the common voice scripted speech 24.0 - Indonesian dataset. It achieves the following results on the evaluation set:

• Loss: 0.2368
• Wer: 12.4624

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 364
• training_steps: 3636
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1687	0.9988	1212	0.2560	18.8440
0.3724	1.9971	2424	0.2385	12.9351
0.1019	2.9955	3636	0.2368	12.4624

Framework versions

• Transformers 5.2.0
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.2