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