medfadiabaidi/whisper-small-tunisian-asr

Whisper Small Fine-tuned on Tunisian Dialect (TEDxTN)

This model is a fine-tuned version of openai/whisper-small on the TEDxTN dataset. It was trained to transcribe Tunisian dialect (Derja/Arabizi).

Model Description

• Model: openai/whisper-small
• Language: Tunisian Arabic (Derja)
• Dataset: TEDxTN (~22 hours)

Evaluation Results

Metric	Score
WER	37.99%
CER	18.77%

Usage

from transformers import WhisperForConditionalGeneration, WhisperProcessor

model_id = "medfadiabaidi/whisper-small-tunisian-asr"
processor = WhisperProcessor.from_pretrained(model_id)
model = WhisperForConditionalGeneration.from_pretrained(model_id)

# audio_input = ... # Load your audio here
# inputs = processor(audio_input, return_tensors="pt")
# generated_ids = model.generate(inputs.input_features)
# transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]

Training Details

• Epochs: 15
• Batch Size: 64
• Learning Rate: 1e-05