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Armour AI - Finance Classifier Model

A multilingual binary classification model for identifying financial conversations in Hinglish.

Model Details

  • Base Model: bert-base-multilingual-cased
  • Task: Binary Classification (Financial / Non-Financial)
  • Language: Hinglish (Hindi-English mix)
  • Domain: Financial Services

Quick Start

from transformers import pipeline

classifier = pipeline("text-classification", model="rohin30n/armour-ai-classifier")

text = "kya aap 20 lakh ka term insurance lena chahiye?"
result = classifier(text)
print(result)
# Output: [{'label': 'LABEL_1', 'score': 0.9985}]

Labels

  • LABEL_0: Non-Financial (0)
  • LABEL_1: Financial (1)

Training Configuration

  • Epochs: 3
  • Batch size: 16
  • Learning rate: 2e-5
  • Train/Test split: 80/20

Performance

  • Accuracy: ~0.92
  • Precision: ~0.91
  • Recall: ~0.93
  • F1 Score: ~0.92

Project

Part of Armour AI - An intelligent financial advisory platform.

License

MIT


Status: Production Ready | Version: 1.0 | Last Updated: April 2026

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