Whisper Base Dv - Nuwan
This model is a fine-tuned version of openai/whisper-base on the Common Voice 15 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4586
- Wer Ortho: 283.5985
- Wer: 130.5086
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.0042 | 2.9586 | 500 | 1.0171 | 193.9489 | 109.2680 |
| 0.2061 | 5.9172 | 1000 | 0.2746 | 335.6644 | 168.7535 |
| 0.0655 | 8.8757 | 1500 | 0.2617 | 346.1823 | 165.9983 |
| 0.0202 | 11.8343 | 2000 | 0.3153 | 340.0754 | 150.7641 |
| 0.0073 | 14.7929 | 2500 | 0.3726 | 340.5918 | 142.2219 |
| 0.0059 | 17.7515 | 3000 | 0.4026 | 330.1717 | 147.8262 |
| 0.0034 | 20.7101 | 3500 | 0.4314 | 309.3663 | 137.8916 |
| 0.0026 | 23.6686 | 4000 | 0.4586 | 283.5985 | 130.5086 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1