Token Labs - Baseline Comparison Results

📐 About Baseline Comparison

What is this?
This page shows how the current model's accuracy compares to a baseline reference model. The comparison helps ensure that quantized or optimized models maintain acceptable accuracy levels.

Baseline Model: Loading...
This is the reference implementation that establishes expected accuracy levels.

Comparison Thresholds

✅ PASS: Model accuracy is within ±5% of baseline (acceptable quality)
🎉 IMPROVED: Model accuracy exceeds baseline by more than 5%
❌ FAIL: Model accuracy is more than 5% below baseline (significant degradation)

📄 View Raw Comparison Data (JSON) • 🎯 View Accuracy Results • 📊 View Performance Benchmarks