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Albert Fa Base V2 Clf Persiannews

Developed by m3hrdadfi
A lightweight BERT model designed for Persian self-supervised language representation learning
Downloads 46
Release Time : 3/2/2022

Model Overview

ALBERT-Persian is the first attempt at an ALBERT model for Persian, trained based on Google's ALBERT base v2.0, covering diverse writing styles including science, fiction, and news.

Model Features

Lightweight Design
Based on ALBERT architecture, more lightweight and efficient compared to traditional BERT models
Multi-domain Training Data
Training data covers diverse writing styles including science, fiction, and news
Large-scale Corpus
Training data includes over 3.9 million documents, 73 million sentences, and 1.3 billion words

Model Capabilities

Persian text understanding
Persian text classification

Use Cases

News Classification
Persian News Classification
Classify Persian news articles into 8 categories (economy, international, politics, etc.)
F1 score reaches 97.01%
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