Whisper Small Darija
This model is a fine-tuned version of openai/whisper-small on the DODa dataset. It achieves the following results on the evaluation set:
- Loss: 0.6569
- Wer: 46.8729
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 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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4177 | 1.7241 | 1000 | 0.4935 | 50.0779 |
| 0.1437 | 3.4483 | 2000 | 0.4961 | 47.4071 |
| 0.0349 | 5.1724 | 3000 | 0.5515 | 49.6105 |
| 0.0083 | 6.8966 | 4000 | 0.6211 | 47.4293 |
| 0.0027 | 8.6207 | 5000 | 0.6569 | 46.8729 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2