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Model card: support ticket classifier

A filled-in model card for a fine-tuned text classifier, showing what to document: data, evaluation, limits and who owns it.

Machine Learning PyTorch

Model

DistilBERT fine-tuned to route support tickets into 7 queues.

Intended use

Suggests a queue to a human agent. Not for auto-closing tickets.

Training data

48,000 tickets from 2024–2025, English only, personal data removed before labelling.

Evaluation

Metric Value
Macro F1 0.87
Worst class (Refunds) F1 0.74
Calibration (ECE) 0.04

Known limits

  • Weak on tickets mixing two problems.
  • Not evaluated on French or Swahili tickets.

Owner and review

Data Science team; re-evaluated every quarter or after any routing change.