Codesota · Models · BART2 results · 2 benchmarks
Model card

BART.

unknown
§ 02 · Benchmarks

Every benchmark BART has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CNN/DailyMailNatural Language Processing · Text Summarizationrouge-l40.9%#7/7source ↗
02SQuAD v2.0Natural Language Processing · Question Answeringf189.2%#11/26source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where BART actually performs.

Natural Language Processing
2
benchmarks
avg rank #9.0
§ 04 · Papers

1 paper with results for BART.

  1. 2019-10-29· 2 results

    BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

§ 06 · Sources & freshness

Where these numbers come from.

pwc-dump
2
results
0 of 2 rows marked verified.