Update README.md

README.md

@@ -45,7 +45,7 @@ The uploaded weights are the "Balanced" configuration below.
 Hardware: 1× RTX 4060 Laptop (8 GB). Class rebalancing is the one deviation from the
 paper's method, which trains on the raw distribution (97% non-flaky).
 
-## Results (per-category F1, fold 2 test set)
+## Results (per-category F1)
 
 | Category         |   Baseline |    lr 2e-5 |   Balanced |  Augmented |      Paper |
 | ---------------- | ---------: | ---------: | ---------: | ---------: | ---------: |
@@ -83,11 +83,6 @@ with torch.no_grad():
 print(model.config.id2label[pred])
 ```
 
-`trust_remote_code=True` is required — the MLP head is a custom architecture defined in
-`modeling_flakylens.py`.
-
-Labels: `0` async wait, `1` concurrency, `2` time, `3` unordered collections,
-`4` test order dependency, `5` non-flaky.
 
 Scope: Java/Kotlin test methods; inputs longer than 512 tokens are truncated.