eval-harness

metric

input_truncated

better
neutral: a description
kind
descriptive: says what the output was, never whether it was good
decides
no goal
weighed by
no goal
recorded on
cnn_dailymail_20, cnn_dailymail_200, cnn_dailymail_dm200, summeval_100

01what it measures, and how

1 when a local model saw only part of the article, because it was longer than the model's encoder window (1,024 tokens for BART) and was cut, else 0. Those items are a different task from the hosted arms' full-article ones.

A project explains its own metric at length with METRIC_DESCRIPTIONS = {"input_truncated": {"summary": "…", "details": "…"}}.

02on cnn_dailymail_20

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

armmean input_truncateditemsscored against
cnn_bart_l_v10.20020gold/cnn_dailymail_20 gold

03on cnn_dailymail_200

gold/cnn_dailymail_200cnn_bart_s_n200_v1 · repeats: 0.75cnn_bart_l_n200_v1: 0.23cnn_bart_l_xsum_n200_v1: 0.23cnn_bart_m_n200_v1: 0.23cnn_bart_s_n200_v1: 0.23cnn_bart_l_n200_v1 · linux: 0.23cnn_bart_l_xsum_n200_v1 · linux: 0.23cnn_bart_m_n200_v1 · linux: 0.23cnn_bart_s_n200_v1 · linux: 0.230.23better · 0.75

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

04on cnn_dailymail_dm200

gold/cnn_dailymail_dm200cnn_bart_l_dm200_v1: 0.29cnn_bart_l_xsum_dm200_v1: 0.29cnn_bart_m_dm200_v1: 0.29cnn_bart_s_dm200_v1: 0.29-0.21better · 0.79

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

05on summeval_100

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

armmean input_truncateditemsscored against
se_bartscore_n100_v10.000100gold/summeval_100 gold