Whisper V3 Medium Ur - Muhammad Abdullah on Common Voice 19
This model is a fine-tuned version of GogetaBlueMUI/whisper-medium-ur on the Common Voice 19.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4501
- Wer: 28.6043
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: 60
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1164 | 0.5568 | 250 | 0.4771 | 29.1714 |
| 0.0553 | 1.1136 | 500 | 0.4501 | 28.6043 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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