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whisper-tiny-he – AI Model by amitkot | AlphaNeural AI

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amitkot/
whisper-tiny-he

like

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automatic-speech-recognition

ivrit-ai/whisper-training

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-he

Hebrew fine-tuned Whisper Tiny for automatic speech recognition.

Training

Base model: openai/whisper-tiny
Dataset: ivrit-ai/whisper-training (~400h Hebrew)
Method: Supervised fine-tuning with Seq2SeqTrainer
Steps: 5,000 (streaming, effective batch size 16)
Hardware: Apple M4 (MPS), fp32
Final eval WER: 0.659 (on 200-sample test split)

Usage

python

from transformers import WhisperProcessor, WhisperForConditionalGeneration

processor = WhisperProcessor.from_pretrained("amitkot/whisper-tiny-he")
model = WhisperForConditionalGeneration.from_pretrained("amitkot/whisper-tiny-he")

model.generation_config.language = "he"
model.generation_config.task = "transcribe"

Training pipeline

Trained using whisper-acft-pipeline:

uv run python scripts/finetune.py --config configs/hebrew_tiny_finetune.yaml

See also

amitkot/whisper-tiny-he-acft — ACFT-optimized version of this model for short audio (FUTO Keyboard)