metadata
language: en
tags:
- summarization
license: apache-2.0
datasets:
- cnn_dailymail
- xsum
thumbnail: https://huggingface.co/front/thumbnails/distilbart_medium.png
model-index:
- name: sshleifer/distilbart-cnn-6-6
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
metrics:
- name: ROUGE-1
type: rouge
value: 42.7007
verified: true
- name: ROUGE-2
type: rouge
value: 20.1823
verified: true
- name: ROUGE-L
type: rouge
value: 29.7085
verified: true
- name: ROUGE-LSUM
type: rouge
value: 39.6714
verified: true
- name: loss
type: loss
value: 3.0600528717041016
verified: true
- name: gen_len
type: gen_len
value: 67.5926
verified: true
Usage
This checkpoint should be loaded into BartForConditionalGeneration.from_pretrained
. See the BART docs for more information.
Metrics for DistilBART models
Model Name | MM Params | Inference Time (MS) | Speedup | Rouge 2 | Rouge-L |
---|---|---|---|---|---|
distilbart-xsum-12-1 | 222 | 90 | 2.54 | 18.31 | 33.37 |
distilbart-xsum-6-6 | 230 | 132 | 1.73 | 20.92 | 35.73 |
distilbart-xsum-12-3 | 255 | 106 | 2.16 | 21.37 | 36.39 |
distilbart-xsum-9-6 | 268 | 136 | 1.68 | 21.72 | 36.61 |
bart-large-xsum (baseline) | 406 | 229 | 1 | 21.85 | 36.50 |
distilbart-xsum-12-6 | 306 | 137 | 1.68 | 22.12 | 36.99 |
bart-large-cnn (baseline) | 406 | 381 | 1 | 21.06 | 30.63 |
distilbart-12-3-cnn | 255 | 214 | 1.78 | 20.57 | 30.00 |
distilbart-12-6-cnn | 306 | 307 | 1.24 | 21.26 | 30.59 |
distilbart-6-6-cnn | 230 | 182 | 2.09 | 20.17 | 29.70 |