Retrained with adaptive-classifier v0.0.17 (k parameter fix)

README.md

@@ -17,14 +17,14 @@ You can install it with `pip install adaptive-classifier`.
 
 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 2
-- Total Examples: 163
+- Total Examples: 10
 - Embedding Dimension: 768
 
 ## Class Distribution
 
 ```
-contains_pii: 81 examples (49.7%)
-no_pii: 82 examples (50.3%)
+contains_pii: 5 examples (50.0%)
+no_pii: 5 examples (50.0%)
 ```
 
 ## Usage

config.json

@@ -40,5 +40,9 @@
     "no_pii": 1
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 6
+  "train_steps": 6,
+  "training_history": {
+    "contains_pii": 100,
+    "no_pii": 100
+  }
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:882cc21eedddbc1cf8868a363c2089c29c60937ef4e251421b9756f3d2f350ae
+oid sha256:cf35e1679c472229acc1415b3f7f21fea2c5a31908f23ef860545e614c38f37e
 size 3553512