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---
language:
- en
tags:
- summarization
license: mit
datasets:
- multi_news
model-index:
- name: ppiiesle3y/fined-tuned-bart
results:
- task:
type: summarization
name: Summarization
dataset:
name: multi_news
type: multi_news
split: train
metrics:
- name: ROUGE-1
type: rouge
value: 43.7065
verified: true
- name: ROUGE-2
type: rouge
value: 16.5533
verified: true
- name: ROUGE-L
type: rouge
value: 24.7588
verified: true
- name: ROUGE-LSUM
type: rouge
value: 37.7586
verified: true
- name: loss
type: loss
value: 2.00663
verified: true
- name: gen_len
type: gen_len
value: 129.1379
verified: true
---
# TL;DR AT2 Applied Natural Language Processing Assignment
## PROJECT OBJECTIVES
This project aims to use NLP technology to summarise longer passages of text into succinct and accurate summations.
## PROJECT OUTCOMES AND INSIGHTS
The expected outcomes from the project is a model that is able to intake a larger body of text and provide a shortened summary that is both succinct and accurate. This will benefit most human readers by making it more efficient gain understanding from written text. Applications for this technology include as a study aide, for people in roles where they are required to quickly assess documents such as book publishers reading through manuscripts to assess if they are fit for publishing or script readers etc.
The most significant impact this project has is to increase information assimilation in a compressed timeframe, thus saving time.
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