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: 162
+- Total Examples: 10
 - Embedding Dimension: 768
 
 ## Class Distribution
 
 ```
-normal: 81 examples (50.0%)
-urgent: 81 examples (50.0%)
+normal: 5 examples (50.0%)
+urgent: 5 examples (50.0%)
 ```
 
 ## Usage

config.json

@@ -40,5 +40,9 @@
     "urgent": 0
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 6
+  "train_steps": 6,
+  "training_history": {
+    "normal": 100,
+    "urgent": 100
+  }
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ef7a1a9ce25a269b56a66835d253b8c7068b4bec1f2d6c21ae152f3975d8378
+oid sha256:1d33a04a4004509c7065f51ad02513d6cea5287d99adbc9e78a15b6c77e4c859
 size 3553504