whisper-finetuned-maghreb-dialect-detector
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4892
- Wer: 67.2099
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 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
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4326 | 3.0770 | 1000 | 1.1722 | 74.2031 |
| 0.0454 | 6.1541 | 2000 | 1.3672 | 68.7769 |
| 0.0097 | 9.2311 | 3000 | 1.4892 | 67.2099 |
| 0.0008 | 12.3082 | 4000 | 1.5572 | 67.4875 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0+cu126
- Datasets 3.4.1
- Tokenizers 0.21.1
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Base model
openai/whisper-medium