# Fine-Tuned BERT for Transaction Categorization
This is a fine-tuned [BERT model](https://huggingface.co/transformers/model_doc/bert.html) specifically trained to categorize financial transactions into predefined categories. The model was trained on a dataset of English transaction descriptions to classify them into categories like "Groceries," "Transport," "Entertainment," and more.
## Model Details
- **Base Model**: [bert-base-uncased](https://huggingface.co/bert-base-uncased).
- **Fine-Tuning Task**: Transaction Categorization (multi-class classification).
- **Languages**: English.
### Example Categories
The model classifies transactions into categories such as:
```python
CATEGORIES = {
0: "Utilities",
1: "Health",
2: "Dining",
3: "Travel",
4: "Education",
5: "Subscription",
6: "Family",
7: "Food",
8: "Festivals",
9: "Culture",
10: "Apparel",
11: "Transportation",
12: "Investment",
13: "Shopping",
14: "Groceries",
…
