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banking-lm-working – AI Model by rawsun00001 | AlphaNeural AI
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Banking SMS Parser - Working Model 🎉
✅ TRAINING SUCCESSFUL!
Final Loss
: 0.94 (60% improvement from 2.38)
Shape Errors
: FIXED - Perfect tensor dimensions
Training Time
: ~3 minutes
Parameters
: 74,429
📊 Model Specifications
Architecture
: LSTM-based Language Model
Vocabulary
: 61 banking-specific tokens
Categories
: 11 core banking categories
Sequence Length
: 12 tokens (fixed)
Batch Size
: 8
🎯 Supported Categories
Automobile and Transportation (UBER, OLA, TAXI, PETROL)
Food and Drinks (SWIGGY, ZOMATO, DOMINOS, KFC)
Shopping (AMAZON, FLIPKART, MYNTRA)
Entertainment (NETFLIX, SPOTIFY)
Health and Wellness (HOSPITAL, PHARMACY, APOLLO)
Bills (ELECTRICITY, WATER, BROADBAND)
Mobile (RECHARGE, AIRTEL, JIO)
Cash Transactions (ATM, WITHDRAWAL)
Salary (SALARY, BONUS, PAYROLL)
Reversal and Refunds (CASHBACK, REFUND)
Self Transfer (UPI, NEFT, TRANSFER)
🚀 Usage
📈 Training Progress
Epoch 1
: Loss 2.38
Epoch 2
: Loss 1.25
Epoch 3
: Loss 0.94 ✅
🔧 Technical Details
No shape errors during training
Perfect tensor dimension matching
LSTM architecture for sequence modeling
Custom banking vocabulary
Rule-based parsing fallback
🎉 SUCCESS METRICS
✅ Training completed without errors
✅ Model saved successfully
✅ Loss convergence achieved
✅ Ready for production testing
Built with ❤️ for banking SMS parsing!
