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ai-banking-intent-classifier
mkianih/ai-banking-intent-classifier
ai-banking-intent-classifier is a text classification model from mkianih. Use it when you need a label for a piece of text. It is set up for peft. The card lists the license as mit.
roberta-base fine-tuned with LoRA on Banking77 (77 customer-support intents). LoRA adapters have been merged into the base weights, so this loads like any standard AutoModelForSequenceClassification checkpoint.
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Public
Updated Aug 14, 2026
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499 MB on disk
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At a glance
- Task
- Text Classification
- Library
- peft
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
- SHA
- ca3e5599
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Base models
Model card
From the Hugging Face model README
Banking Intent Classifier (RoBERTa + LoRA)
roberta-base fine-tuned with LoRA on 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.
- Task
- Text Classification
- Library
- peft
- Type
- roberta
- License
- mit
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026