Model Card for News Article Summarizer

Model Details

Model Description

This is a fine-tuned text summarization model based on facebook/bart-large-cnn, optimized using LoRA (Low-Rank Adaptation) on a custom dataset of global news articles. The model is designed to generate concise, high-quality summaries from long-form news content.

  • Developed by: [Devesh]
  • Model type: Text Summarization
  • Language(s) (NLP): English
  • License: [Specify license, e.g., Apache 2.0]
  • Finetuned from model: facebook/bart-large-cnn

Model Sources

Uses

Direct Use

The model is suitable for summarizing news articles, reports, and other long-form textual content into concise summaries for applications like:

  • News aggregation platforms
  • Content summarization for journalism
  • Automated report generation
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