Qwen3 0.6B Bitext Ticket Router
This model is a LoRA fine-tune of Qwen/Qwen3-0.6B for routing customer support tickets into the top 12 intents from bitext/Bitext-customer-support-llm-chatbot-training-dataset.
Task setup
- Input column:
instruction - Label column:
intent - Data filter: top 12 intents by frequency in the source
trainsplit - Output format: strict JSON only
{"intent":"<label>","confidence":0.93,"reason":"<short reason>"}
Train / eval split
- Train examples: 10194
- Eval examples: 1799
- Split method: stratified random split with seed 42
Evaluation metrics
- accuracy: 0.9994
- valid_json_rate: 1.0000
- schema_pass_rate: 1.0000
- accuracy_on_schema: 0.9994
Allowed intents
[ "check_invoice", "complaint", "contact_customer_service", "edit_account", "switch_account", "check_payment_methods", "contact_human_agent", "delivery_period", "get_invoice", "newsletter_subscription", "payment_issue", "registration_problems" ]
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support