CoolFace
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spkc83/retail-bank-conversation-router

sourceHugging Faceapache-2.0updated 21d agoView on Hugging Face
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Model Card

Retail Bank Conversation Router

History-aware DistilBERT cross-encoder with one shared encoder and seven jointly trained heads: domain, lane, family, intent, relation, action, and entity resolution. Runtime hierarchy constraints expose route, intent, action, and entity decisions used by the release evaluation.

Held-out results

  • —Release eligible: True
  • —Domain macro F1: 0.991375
  • —Lane macro F1: 0.973272
  • —Family macro F1: 0.977515
  • —Intent macro F1: 0.994187
  • —Relation macro F1: 0.976941
  • —Action macro F1: 0.988008
  • —Entity-resolution macro F1: 0.966131
  • —Hierarchy compatibility error rate: 0.000000
  • —Counterfactual action accuracy: 1.000000
  • —Counterfactual entity accuracy: 1.000000
  • —Counterfactual exact pair-flip accuracy: 1.000000
  • —In-domain false-refusal rate: 0.002374
  • —OOD false-accept rate: 0.014509
  • —Contextual false-refusal rate: 0.000000
  • —Repair false-refusal rate: 0.000000
  • —Topic-shift OOD false-accept rate: 0.001647

Data

The governed corpus contains 21686 train, 4283 validation, and 4863 test rows. Inputs include only prior visible user/assistant text, pre-turn dialogue state, and the current user turn; current-turn tool plans, tool results, expected outputs, and final answers are excluded.