WhisperArabic
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3729
- Wer: 115.5525
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3354 | 0.2060 | 1000 | 0.4203 | 94.8333 |
| 0.2281 | 0.4119 | 2000 | 0.3729 | 115.5525 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 3.2.0
- Tokenizers 0.19.1