Update README.md

README.md

@@ -1,3 +1,76 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- sweatSmile/FinanceQA
+language:
+- en
+base_model:
+- google-bert/bert-base-uncased
+---
+# 💳 Credit Card Statement QA Model
+
+**Model Name:** `yakul259/credit-statement-scraper`  
+**Base Model:** [`distilbert-base-uncased`](https://huggingface.co/distilbert-base-uncased)  
+**Task:** Question Answering (Extractive QA)  
+**Framework:** 🤗 Transformers  
+**Language:** English  
+**Author:** Yakul259  
+**License:** MIT  
+
+---
+
+## 🧠 Model Overview
+
+This model is a fine-tuned version of **DistilBERT** for **question answering** tasks, specifically designed to extract structured financial details from **credit card statements** in PDF or text format.
+
+It was trained on a custom dataset of anonymized statements to recognize and answer questions like:
+- “Which bank issued this statement?”
+- “What is the billing cycle?”
+- “What is the payment due date?”
+- “What are the last 4 digits of the card?”
+- “What is the total amount due?”
+
+---
+
+## 🏗️ Architecture
+
+| Property | Value |
+|-----------|--------|
+| Model Type | DistilBERT |
+| Architecture | DistilBertForQuestionAnswering |
+| Hidden Size | 768 |
+| Layers | 6 |
+| Attention Heads | 12 |
+| Max Sequence Length | 512 |
+| Activation | GELU |
+| Dropout | 0.1 |
+| QA Dropout | 0.1 |
+| Vocabulary Size | 30,522 |
+| Transformers Version | 4.57.0 |
+
+---
+
+## 🧾 Example Usage
+
+You can load this model directly using the `pipeline` API from 🤗 Transformers:
+
+```python
+from transformers import pipeline
+
+qa_pipeline = pipeline(
+    "question-answering",
+    model="yakul259/credit-statement-scraper",
+    tokenizer="yakul259/credit-statement-scraper"
+)
+
+context = """
+Bank: XYZ Bank
+Credit Card Number: **** **** **** 4321
+Billing Period: 01/10/2025 - 31/10/2025
+Payment Due Date: 15/11/2025
+Total Amount Due: $1,254.67
+"""
+
+question = "What is the payment due date?"
+result = qa_pipeline(question=question, context=context)
+print(result)