whisper-small-arbyeg_three
This model is a fine-tuned version of EYEDOL/whisper-small-arbyeg_TWO on the arabic_mozilla_dataset_clean dataset. It achieves the following results on the evaluation set:
- Loss: 0.2749
- Wer: 45.5142
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: 32
- 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1606 | 0.7205 | 1000 | 0.3004 | 46.5663 |
| 0.1562 | 1.4409 | 2000 | 0.2749 | 45.5142 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.9.0+cu126
- Datasets 4.8.3
- Tokenizers 0.22.2