Whisper Small Hi - V1
This model is a fine-tuned version of openai/whisper-tiny on the ai4bharat/IndicVoices dataset. It achieves the following results on the evaluation set:
- Loss: 0.4275
- Wer: 51.3495
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: 8
- 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6607 | 0.8104 | 500 | 0.6622 | 72.1794 |
| 0.4574 | 1.6207 | 1000 | 0.5104 | 59.5822 |
| 0.3659 | 2.4311 | 1500 | 0.4626 | 56.2291 |
| 0.3346 | 3.2415 | 2000 | 0.4417 | 53.4954 |
| 0.2912 | 4.0519 | 2500 | 0.4301 | 51.6118 |
| 0.275 | 4.8622 | 3000 | 0.4275 | 51.3495 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.0