bart_large_xsum_samsum_conv_summarizer

yashugupta786/bart_large_xsum_samsum_conv_summarizer

bart_large_xsum_samsum_conv_summarizer is a summarization model from yashugupta786. Use it when you need a shorter version of a longer text. It is set up for transformers.

All the metric Rouge1,2,L are computed using precison and recall then computed the F measure for these Rouge recall= no of overlaping words/total no of referenced humman annotated words Rouge precision= no of overlapi…

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At a glance

Task: Summarization
Library: transformers
Model type: bart
Access: Public
Created: Apr 5, 2023
Updated: Apr 6, 2023
SHA: 1b19bb07

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Datasets

samsum

Spaces

karthi311/consum

Model card

From the Hugging Face model README

Usage

from transformers import pipeline

summarizer_pipe = pipeline("summarization", model="yashugupta786/bart_large_xsum_samsum_conv_summarizer")
conversation_data = '''Hannah: Hey, do you have Betty's number?
Amanda: Lemme check
Amanda: Sorry, can't find it.
Amanda: Ask Larry
Amanda: He called her last time we were at the park together
Hannah: I don't know him well
Amanda: Don't be shy, he's very nice
Hannah: If you say so..
Hannah: I'd rather you texted him
Amanda: Just text him 🙂
Hannah: Urgh.. Alright
Hannah: Bye
Amanda: Bye bye                                       
'''
summarizer_pipe(conversation_data)

Results

key	value
eval_rouge1	54.3921
eval_rouge2	29.8078
eval_rougeL	45.1543
eval_rougeLsum	49.942
test_rouge1	53.3059
test_rouge2	28.355
test_rougeL	44.0953
test_rougeLsum	48.9246

Task: Summarization
Library: transformers
Type: bart
Languages: en
Created: Apr 5, 2023
Updated: Apr 6, 2023