WhisperSmallArabicFineTuned
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1396
- Wer: 44.1741
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 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1109 | 0.4156 | 1000 | 0.1739 | 49.7640 |
| 0.0998 | 0.8313 | 2000 | 0.1516 | 46.6110 |
| 0.0688 | 1.2469 | 3000 | 0.1491 | 47.5200 |
| 0.0622 | 1.6625 | 4000 | 0.1419 | 44.4147 |
| 0.038 | 2.0781 | 5000 | 0.1396 | 44.1741 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for humbleakh/whisper-small-arabic
Base model
openai/whisper-small