From 2ad1f71e2307ded87615a6f0931cda72e3949d89 Mon Sep 17 00:00:00 2001 From: Alec Date: Fri, 3 May 2019 16:10:02 -0700 Subject: [PATCH] tweak size --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 26a24df..964362e 100644 --- a/README.md +++ b/README.md @@ -43,11 +43,11 @@ We've provided a starter baseline which trains a logistic regression detector on ### Initial Analysis - + Shorter documents are harder to detect. Accuracy of detection of a short documents of 500 characters (a long paragraph) is about 15% lower. - + Truncated sampling, which is commonly used for high-quality generations from the GPT-2 model family, results in a shift in the part of speech distribution of the generated text compared to real text. A clear example is the underuse of proper nouns and overuse of pronouns which are more generic. This shift contributes to the 8% to 18% higher detection rate of Top-K samples compared to random samples across models.