Add email-security

README.md

@@ -17,16 +17,16 @@ You can install it with `pip install adaptive-classifier`.
 
 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 4
-- Total Examples: 344
+- Total Examples: 321
 - Embedding Dimension: 768
 
 ## Class Distribution
 
 ```
-legitimate: 88 examples (25.6%)
-phishing: 80 examples (23.3%)
-spam: 88 examples (25.6%)
-suspicious: 88 examples (25.6%)
+legitimate: 81 examples (25.2%)
+phishing: 80 examples (24.9%)
+spam: 80 examples (24.9%)
+suspicious: 80 examples (24.9%)
 ```
 
 ## Usage

config.json

@@ -32,16 +32,16 @@
   },
   "embedding_dim": 768,
   "id_to_label": {
-    "0": "suspicious",
+    "0": "legitimate",
     "1": "spam",
-    "2": "legitimate",
-    "3": "phishing"
+    "2": "phishing",
+    "3": "suspicious"
   },
   "label_to_id": {
-    "legitimate": 2,
-    "phishing": 3,
+    "legitimate": 0,
+    "phishing": 2,
     "spam": 1,
-    "suspicious": 0
+    "suspicious": 3
   },
   "model_name": "answerdotai/ModernBERT-base",
   "train_steps": 11

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45e2774db18e17b3d220659a70ded67f73509b8312c8e2a9307a1a9fb0da8814
+oid sha256:89fa6e9a52ee72ffe34b5d8cf9398e00791dc2a873682c45f1a716176ee9e25a
 size 3562904