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Chiraag-P-V/
bank_customer_ticket_category_classifier_fine_tuned

Name: bank_customer_ticket_category_classifier_fine_tuned
Availability: InStock

safetensors

distilbert

text-classification

distilbert/distilbert-base-uncased

finetune

mit

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Bank Customer Ticket Category Classifier (Fine-Tuned DistilBERT)

Model Description

This model is a fine-tuned version of distilbert-base-uncased for bank customer complaint classification.
It classifies complaints into one of three categories:

Credit card or prepaid card
Checking or savings account
Mortgage

The model was developed to help banks and financial institutions automatically tag and route complaints to the correct department, improving efficiency, accuracy, and response times.

Intended Uses & Limitations

Intended Use Cases

Automating complaint classification in customer service systems.
Categorizing historical complaint datasets for analytics.
Integrating with chatbots or CRM systems for real-time tagging.

Limitations

Only supports English-language inputs.
Designed specifically for the three categories above — other categories will not be classified correctly.
May underperform on slang-heavy or incomplete sentences.

Example Inference

python

from transformers import pipeline

classifier = pipeline("text-classification", model="Chiraag-P-V/bank_customer_ticket_category_classifier_fine_tuned")

text = "I have a credit card issue."
result = classifier(text)

print(result)
# Example output:
# [{'label': 'Credit card or prepaid card', 'score': 0.987}]