FastConformer Quran Arabic ASR โ€” phase3_full_finetune

Fine-tuned from nvidia/stt_ar_fastconformer_hybrid_large_pcd_v1.0 on tarteel-ai/everyayah.

Phase: phase3_full_finetune (Final - All layers fine-tuned)
Val WER: 0.0852
Streaming: Causal attention [128, 0] - ready for real-time inference

Progressive Unfreezing Training

  • Phase 1: Top 3 encoder layers (2000 steps, LR 5e-5)
  • Phase 2: Encoder layers 9-17 (3000 steps, LR 1e-4)
  • Phase 3: All layers (2000 steps, LR 1e-5) โ† This checkpoint

Usage

import nemo.collections.asr as nemo_asr
model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.restore_from("phase3_full_finetune_wer0.0852.nemo")
transcriptions = model.transcribe(["recitation.wav"])
print(transcriptions[0].text)
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Dataset used to train mohammed/fastconformer-quran-ar