whisper-small-serbian-v3
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4611
- Wer: 20.9326
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 1250
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3423 | 0.9234 | 500 | 0.3223 | 27.8919 |
| 0.2588 | 1.8458 | 1000 | 0.2685 | 24.6306 |
| 0.1833 | 2.7682 | 1500 | 0.2665 | 23.3260 |
| 0.1154 | 3.6907 | 2000 | 0.2713 | 23.0167 |
| 0.0787 | 4.6131 | 2500 | 0.2881 | 22.8452 |
| 0.0456 | 5.5355 | 3000 | 0.3161 | 22.7374 |
| 0.025 | 6.4580 | 3500 | 0.3318 | 22.6472 |
| 0.0151 | 7.3804 | 4000 | 0.3657 | 22.9566 |
| 0.0084 | 8.3029 | 4500 | 0.3786 | 22.1788 |
| 0.0063 | 9.2253 | 5000 | 0.3875 | 21.9738 |
| 0.0037 | 10.1477 | 5500 | 0.3932 | 22.0038 |
| 0.0031 | 11.0702 | 6000 | 0.4101 | 21.7705 |
| 0.0032 | 11.9935 | 6500 | 0.4152 | 21.8005 |
| 0.003 | 12.9160 | 7000 | 0.4176 | 21.7935 |
| 0.0015 | 13.8384 | 7500 | 0.4213 | 21.5230 |
| 0.0008 | 14.7608 | 8000 | 0.4377 | 21.3339 |
| 0.0005 | 15.6833 | 8500 | 0.4389 | 21.2225 |
| 0.0002 | 16.6057 | 9000 | 0.4445 | 21.0935 |
| 0.0003 | 17.5282 | 9500 | 0.4536 | 21.0404 |
| 0.0001 | 18.4506 | 10000 | 0.4589 | 20.9220 |
| 0.0001 | 19.3730 | 10500 | 0.4611 | 20.9326 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.4