Whisper Small Egyptian Arabic
This model is a fine-tuned version of openai/whisper-small on the Darija STT Mix dataset. It achieves the following results on the evaluation set:
- Loss: 0.6617
- Wer Ortho: 52.9142
- Wer: 48.7048
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.6715 | 0.8203 | 500 | 0.7303 | 64.8593 | 60.5440 |
| 0.4268 | 1.6407 | 1000 | 0.6617 | 52.9142 | 48.7048 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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