Model: lidiya/bart-large-xsum-samsum
Author: lidiya
Pipeline: summarization
Library: transformers
Tags: transformers, pytorch, safetensors, bart, text2text-generation, seq2seq, summarization, en, dataset:samsum, license:apache-2.0, model-index, endpoints_compatible, deploy:azure, region:us
Card metadata: language: en
tags: bart, seq2seq, summarization
license: apache-2.0
datasets: samsum
widget: 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

model-index: name: bart-large-xsum-samsum
results: task: name: Abstractive Text Summarization
type: abstractive-text-summarization
dataset: name: SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
type: samsum
metrics: name: Validation ROUGE-1
type: rouge-1
value: 54.3921
verified: no, name: Validation ROUGE-2
type: rouge-2
value: 29.8078
verified: no, name: Validation ROUGE-L
type: rouge-l
value: 45.1543
verified: no, name: Test ROUGE-1
type: rouge-1
value: 53.3059
verified: no, name: Test ROUGE-2
type: rouge-2
value: 28.355
verified: no, name: Test ROUGE-L
type: rouge-l
value: 44.0953
verified: no
Likes: 38 | All-time downloads: 994708
Created: 2022-03-02 23:29:05