Model card: trim intro

README.md

@@ -17,19 +17,12 @@ tags:
 Classifies a Java/Kotlin test method into one of six categories: five kinds of flaky
 test plus non-flaky.
 
-**This is a partial, single-fold reproduction of published work — not the authors' model.
-It scores below the published results.** Please read the limitations before using it.
-
 ## What this is
 
 A fine-tune of `microsoft/codebert-base` on the FlakeBench dataset from
 [*Understanding and Improving Flaky Test Classification*](https://utexas.app.box.com/v/august-shi-OOPSLA2025)
 (OOPSLA 2025), trained as a reproduction exercise on a single 8 GB consumer GPU.
 
-Trained on **one** of the paper's four project-disjoint folds (project group 2), so it is
-**not** comparable to the paper's four-fold results and should not be described as
-reproducing them.
-
 The uploaded weights are the "Balanced" configuration below.
 
 ## Training configurations