Whisper Medium Ur - Muhammad Abdullah on Fleurs
This model is a fine-tuned version of GogetaBlueMUI/whisper-medium-ur on the Fleurs Urdu dataset. It achieves the following results on the evaluation set:
- Loss: 0.3747
- Wer: 22.8392
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use 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: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3288 | 0.7576 | 100 | 0.3701 | 23.7272 |
| 0.1527 | 1.5152 | 200 | 0.3769 | 23.5496 |
| 0.0874 | 2.2727 | 300 | 0.3747 | 22.8392 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.0