Whisper Small Persian
This model is a fine-tuned version of openai/whisper-small on the Common Voice 21.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3323
- Wer: 31.9300
🧠 Model Details
- Base model:
openai/whisper-small - Fine-tuned on:
- Common Voice 21 (Persian subset)
- Language: Persian (fa)
🧪 Evaluation
| Metric | Value |
|---|---|
| WER | 31.93% |
📦 Usage
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="aliyzd95/whisper-small-persian-v1")
result = pipe("your-audio.wav")
print(result["text"])
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 8
- gradient_accumulation_steps: 2
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1