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

📦 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
• —trainbatchsize: 8
• —gradientaccumulationsteps: 2
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.53.0.dev0
• —Pytorch 2.7.1+cu128
• —Datasets 3.6.0
• —Tokenizers 0.21.1