aliyzd95/whisper-small-persian-v1

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