How to generate more concise "Abstractive" summaries

I have tried a few models for Abstractive summaries, but neither are producing a reasonable form of a summary, which I define as a single, short paragraph. You can see the various models used so far in the code. The one in use in the code below is facebook/bart-large, which is producing a summary, longer than the original article.

Original Article: 485 words
Summary: 685 words

I would appreciate your help with model selection or alternate approach to summarization.

import torch
from transformers import pipeline

file = open("Data/article.txt", "r")
article =

#  model_name = 'google/pegasus-newsroom'
#  model_name = 'Artifact-AI/led_base_16384_billsum_summarization'

model_name = 'facebook/bart-large'

summarizer = pipeline('summarization', model=model_name,
                      truncation=True, framework='pt')
summary = summarizer(article)