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Bert Fa Base Uncased Clf Persiannews
A Transformer-based Persian language understanding model, with a reconstructed vocabulary and fine-tuned on a new Persian corpus, providing enhanced functionality for Persian text processing.
Downloads 2,009
Release Time : 3/2/2022
Model Overview
ParsBERT is a Transformer-based Persian language understanding model, primarily used for Persian text classification tasks. The model excels on Persian news datasets and is suitable for various Persian text processing scenarios.
Model Features
Optimized Persian Vocabulary
Reconstructed vocabulary to better adapt to Persian language characteristics
Multi-domain Applicability
Fine-tuned on a new Persian corpus, enhancing multi-domain application capabilities
High-performance Text Classification
Achieved an F1 score of 97.44 on Persian news datasets
Model Capabilities
Persian Text Classification
Multi-category News Classification
Use Cases
News Classification
Persian News Classification
Automatic classification of Persian news articles into 8 categories
F1 score reached 97.44
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