Whisper Large V3 Turbo STT Zeroth KO V2

🚀 Fine-Tuned-Whisper-Large-v3-Turbo-STT-Zeroth-KO-v2

This is a fine-tuned model based on openai/whisper-large-v3-turbo, specifically optimized for Korean automatic speech recognition tasks, aiming to provide high - accuracy and timestamped transcriptions.

🚀 Quick Start

This section provides a brief overview of the model and its current performance.

✨ Features

• Based on openai/whisper-large-v3-turbo, incrementally fine - tuned for Korean ASR.
• Aims to achieve high accuracy and timestamped transcriptions for Korean speech.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

Model Information

Evaluation Results

This model is being fine - tuned from openai/whisper-large-v3-turbo on a custom dataset. It currently achieves the following results on the evaluation set (still fine - tuning):

• Loss: 0.0164
• Wer: 19.9134
• Cer: 0.0660

Model Description

This model is a version of openai/whisper-large-v3-turbo, currently still being incrementally fine - tuned in stages, specifically optimized for Korean automatic speech recognition (ASR) tasks. The fine - tuning process aims to deliver high accuracy and timestamped transcriptions for Korean speech.

Dataset Details

• Dataset Source: Custom dataset (https://huggingface.co/datasets/o0dimplz0o/Zeroth-STT-Korean)
• Number of Samples: 102,263
• Split: 93% train, 7% test
• Data Augmentation: 20% random, applied only to the training set

Training Details

• Hardware: L40S GPU
• Learning Rate Scheduler: Cosine
• Epochs: [pending completion]
• Optimizer: AdamW Torch Fused

🔧 Technical Details

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📄 License

No license information is provided in the original document, so this section is skipped.