unsloth-stt

What problem does it solve?

This Skill addresses the challenge of low transcription accuracy for specialized terminology or accents by enabling efficient fine-tuning of Speech-to-Text (STT) models like Whisper.

Core Features & Use Cases

• Optimized LoRA Fine-tuning: Leverages Unsloth's pipeline for 1.5x faster training and 50% less memory usage.
• Specialized Terminology Adaptation: Fine-tune models to accurately transcribe medical, legal, or other domain-specific language.
• Accent and Dialect Customization: Adapt models to specific regional accents or dialects for improved recognition.
• Consumer Hardware Training: Enables fine-tuning of large models (e.g., whisper-large-v3) on GPUs with limited VRAM.

Quick Start

Use the unsloth-stt skill to fine-tune the whisper-large-v3 model with your custom audio dataset.