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expense-tracker-distilbert-lora-v2
udayugale/expense-tracker-distilbert-lora-v2
expense-tracker-distilbert-lora-v2 is a text classification model from udayugale. Use it when you need a label for a piece of text. It is set up for peft.
- Dropped Income and Others labels (not in expense categories) - Mapped Bills → Utilities - Dropped sender column from File 2 (2,376 sender-label mismatches) - Augmented short texts (< 7 words) with bank SMS context w…
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Updated Mar 22, 2026
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At a glance
- Task
- Text Classification
- Library
- peft
- Model type
- distilbert
- Access
- Public
- Created
- Mar 22, 2026
- Updated
- Mar 22, 2026
- SHA
- 93299db5
Try a prompt
Base models
Model card
From the Hugging Face model README
💳 Expense Tracker — DistilBERT LoRA v2 (4 Data Sources)
📦 Training Data
| Source | Type | Rows |
|---|---|---|
| engreemali/bank-transactions-sms-datasetss | Real Indian SMS (cleaned) | ~1,200 |
| kumarperiya/pan-indian-consumer-transaction-dataset | Structured → synthetic SMS | ~600 |
| ChatGPT synthetic_sms_5000 (fixed) | Synthetic (augmented) | ~3,300 |
| ChatGPT realistic_synthetic_sms (fixed) | Synthetic (realistic) | ~3,200 |
🏷️ Categories
| ID | Category |
|---|---|
| 0 | Education |
| 1 | Entertainment |
| 2 | Food |
| 3 | Healthcare |
| 4 | Shopping |
| 5 | Transport |
| 6 | Utilities |
🚀 Usage
from transformers import pipeline
clf = pipeline('text-classification', model='udayugale/expense-tracker-distilbert-lora-v2')
print(clf('Netmeds medicine order rs 350 confirmed. Delivery in 2 hrs'))
# [{'label': 'Healthcare', 'score': 0.95}]
🔧 Fixes Applied to ChatGPT Data
- Dropped
IncomeandOtherslabels (not in expense categories) - Mapped
Bills→Utilities - Dropped
sendercolumn from File 2 (2,376 sender-label mismatches) - Augmented short texts (< 7 words) with bank SMS context wrappers
- Task
- Text Classification
- Library
- peft
- Type
- distilbert
- Languages
- en
- Created
- Mar 22, 2026
- Updated
- Mar 22, 2026