SpendingCategoryBERT

Fine-tuned BERT for classifying raw bank transaction strings into 8 spending categories. Built as part of Foresight — a proactive AI financial OS with 12 LangGraph agents and 6 custom MCP servers.

Categories

Label	Category	Example
0	grocery	WHOLEFDS MKT #1523
1	restaurant	STARBUCKS #12345
2	transport	UBER *TRIP
3	shopping	AMZN MKTP US*2K4J9
4	entertainment	NETFLIX.COM
5	utilities	ATT*BILL PAYMENT
6	healthcare	CVS PHARMACY #1234
7	general	VENMO PAYMENT

Performance

Metric	Score
Accuracy	100%
F1 (weighted)	1.0
Precision	1.0
Recall	1.0

Usage

from transformers import pipeline classifier = pipeline("text-classification", model="Dikshith4500/SpendingCategoryBERT") classifier("WHOLEFDS MKT #1523")

Training

• Base model: bert-base-uncased
• Dataset: Dikshith4500/bank-transaction-categories-50k
• Examples: 6,973 labeled bank transaction strings
• Epochs: 3
• Learning rate: 2e-5
• Hardware: T4 GPU