update the score cutoffs

README.md

@@ -18,7 +18,7 @@ The model classifies text into two PII-related categories in a multi-label fashi
 - **PRIVACY_ASKING_FOR_PII**: Attempting to obtain personal identifying information (PII) through direct questions or insinuation.
 - **PRIVACY_GIVING_PII**: Sharing or threatening to share someone's personal identifying information (PII), including but not limited to telephone numbers, email addresses, government ID numbers, social media handles, and account passwords/credentials. This category also includes attempts to direct a user off-platform to an external platform or real-world location (DUOP).
 
-The classifier expects text input with a maximum sequence length of 512 tokens. The outputs are uncalibrated scores. The recommended cutoff for pii detection is when the sum of both categories `max(privacy_asking_for_pii, privacy_giving_pii) >= 0.26911312`, which achives the optimal F1 score on Roblox English anonymized chat. For per-category cutoffs we recommend `privacy_asking_for_pii >= 0.2` and `privacy_giving_pii >= 0.3`.
+The classifier expects text input with a maximum sequence length of 512 tokens. The outputs are uncalibrated scores. The recommended cutoff for pii detection is when the sum of both categories `max(privacy_asking_for_pii, privacy_giving_pii) >= 0.2691`, which achives the optimal F1 score on Roblox English anonymized chat. For per-category cutoffs we recommend `privacy_asking_for_pii >= 0.2` and `privacy_giving_pii >= 0.3`.
 
 The table below displays evaluation metrics on internal held-out datasets and comparisons with other state-of-the-art models.