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Autonlp Bank Transaction Classification 5521155
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Autonlp Bank Transaction Classification 5521155
Developed by mgrella
This is a multi-class classification model trained with AutoNLP, specifically designed for bank transaction classification tasks.
Downloads 118
Release Time : 3/2/2022
Model Overview
The model is trained using the AutoNLP framework and can automatically classify bank transaction texts, suitable for transaction data processing and analysis in the financial sector.
Model Features
High Accuracy
Achieves 82.2% accuracy on the validation set, demonstrating strong performance.
Multi-class Classification
Capable of handling multiple categories of bank transaction classification tasks.
AutoNLP Training
Utilizes Hugging Face's AutoNLP automated training pipeline, simplifying the model development process.
Model Capabilities
Bank transaction text classification
Multi-class text classification
Italian text processing
Use Cases
Financial Services
Automatic Transaction Classification
Automatically categorizes bank transaction records into predefined categories
Improves transaction processing efficiency and reduces manual classification workload
Financial Data Analysis
Provides preprocessed classification results for financial data analysis
Supports more accurate financial trend analysis and report generation
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