---
license: apache-2.0
base_model: google/muril-base-cased
tags:
- autoscientist
- adaption
- personal-finance
- intent-classification
- multilingual
- hindi
- punjabi
datasets:
- tojpaj/personal-finance-multilingual-indic
language:
- hi
- pa
---

# Personal-Finance Query Routing Model (MuRIL, Hindi/Punjabi)

MuRIL fine-tuned for native Hindi/Punjabi financial-query intent
classification (loan_inquiry/insurance/fraud_report/savings_scheme/
other). AutoScientist Challenge Part 2, Personal-Finance category.

## Competitive note

An active competitor (`Rome-1/personal-finance-adaptive-autoscientist`,
D->A, +80% quality) exists in this category using a generic English
recipe with no native-language angle. This submission differentiates
on the native-language axis rather than competing on generic quality.

## Results

Accuracy 75.0%, Macro-F1 0.214 (held-out 20% split, 32 rows).

**Known limitation, disclosed honestly:** built without ULCA
registration to fit the deadline, using IndicCorpV2 general web text
instead of genuine financial queries. `other` dominates (132/158
training rows); the four genuine finance intents have too few examples
(0-13 each) for reliable classification. The fraud_report hard-bypass
safety design this idea was built around is documented but not
meaningfully testable on this round's thin data. See the source
project's `PART2_SUBMISSION.md`.