---
license: mit
base_model: roberta-base
tags:
  - text-classification
  - lora
  - peft
  - banking77
---

# Banking Intent Classifier (RoBERTa + LoRA)

`roberta-base` fine-tuned with LoRA on [Banking77](https://huggingface.co/datasets/PolyAI/banking77)
(77 customer-support intents). LoRA adapters have been merged into the base weights, so
this loads like any standard `AutoModelForSequenceClassification` checkpoint.

- Accuracy: 92.05%  |  Macro F1: 92.05%  |  Weighted F1: 92.05%

Code, training notebook, and the PII-redaction layer used in front of this model:
https://github.com/mkianih/ai-banking-intent-classifier

`label_encoder.joblib` (scikit-learn `LabelEncoder`) is included alongside the model
weights to map class indices back to intent names.