pashto-voice-v2
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: 0.5255
- Wer: 0.2770
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
- 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: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5178 | 0.9999 | 4687 | 0.2928 | 0.3004 |
| 0.3795 | 1.9997 | 9374 | 0.2649 | 0.2722 |
| 0.2977 | 2.9995 | 14061 | 0.2630 | 0.2752 |
| 0.2195 | 3.9993 | 18748 | 0.2750 | 0.2650 |
| 0.1530 | 4.9990 | 23435 | 0.3107 | 0.2710 |
| 0.0920 | 5.9988 | 28122 | 0.3485 | 0.2668 |
| 0.0606 | 6.9986 | 32809 | 0.4061 | 0.2776 |
| 0.0290 | 7.9984 | 37496 | 0.4569 | 0.2710 |
| 0.0122 | 8.9982 | 42183 | 0.5061 | 0.2794 |
| 0.0072 | 9.9980 | 46870 | 0.5256 | 0.2764 |
| 0.0087 | 10.0 | 46880 | 0.5255 | 0.2770 |
Framework versions
- Transformers 5.13.0
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2