Whisper Small Santali (Ol Chiki)

This model is a fine-tuned version of openai/whisper-small on the Common Voice Scripted Speech 24.0 - Santali (Ol Chiki) dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.1085
• eval_model_preparation_time: 0.0257
• eval_wer: 1.1150
• eval_runtime: 59.2411
• eval_samples_per_second: 2.144
• eval_steps_per_second: 0.27
• step: 0

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1