DistilRoBERTa V4 Gold Router
This model is a high-precision intent router designed to classify user prompts into 6 distinct categories for LLM orchestration.
📊 Categories & Label Mapping
- 0: agentic (Weather, searches, real-time data)
- 1: coding (Programming tasks, debugging)
- 2: general (Chitchat, greetings, basic info)
- 3: math (Calculations, LaTeX, logic)
- 4: reasoning (Chain-of-thought, philosophy, deep analysis)
- 5: tool_calling (API structured requests)
🛠️ Training Details
- Base Model: distilroberta-base
- Dataset: V4 Gold Purified (approx. 46k rows)
- Accuracy: 99.8% on validation set
- Key Fixes: Resolved the "Reasoning Bias" found in V3 and stabilized against NaN gradient explosions.
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