Worker Grievance Routing Model (MuRIL, Hindi/Punjabi)
MuRIL fine-tuned for native Hindi/Punjabi workplace grievance intent classification (wage_dispute/harassment_escalation/leave_pf_esi/ general). AutoScientist Challenge Part 2, HR category.
Results
Accuracy 82.1%, Macro-F1 0.225 (held-out 20% split, 28 rows).
Known limitation, disclosed honestly: built without ULCA
registration to fit the deadline, using IndicCorpV2 general web text
instead of genuine worker grievances. general dominates (127/137
training rows); the three genuine grievance intents have too few
examples (1-5 each) for reliable classification. The
escalation-bypass safety design this idea was built around
(harassment_escalation + urgency=immediate -> hard-route to a human)
is documented but not meaningfully testable on this round's thin
urgency-label data (only 4 total). See the source project's
PART2_SUBMISSION.md.
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Model tree for tojpaj/hr-grievance-routing-model
Base model
google/muril-base-cased