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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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