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BasitAliii/
bart_finetuned_model

Name: bart_finetuned_model
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BART Fine-Tuned Summarization Model

This repository hosts a BART-based model fine-tuned for text summarization on a custom dataset of articles and highlights. The model is suitable for generating concise summaries from long-form text.

Model Overview

Base Model: facebook/bart-large-cnn
Task: Text Summarization
Fine-Tuning Dataset: Custom CSV dataset containing document and summary columns
Dataset Size: Varies depending on your CSV file
Framework: Hugging Face Transformers
Language: English

Dataset Preparation

Load your CSV dataset containing columns: article (renamed to document) and highlights (renamed to summary).
Clean the dataset by removing missing or non-string entries.
Split the dataset into train and validation sets (80/20 split).

python

from datasets import Dataset
dataset = Dataset.from_pandas(df)
dataset = dataset.train_test_split(test_size=0.2, seed=42)

BasitAliii/bart_finetuned_model

BART Fine-Tuned Summarization Model

Model Overview

Dataset Preparation

BasitAliii/
bart_finetuned_model