Add business-sentiment

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: 352
+- Total Examples: 321
 - Embedding Dimension: 768
 
 ## Class Distribution
 
 ```
-mixed: 88 examples (25.0%)
-negative: 88 examples (25.0%)
-neutral: 88 examples (25.0%)
-positive: 88 examples (25.0%)
+mixed: 80 examples (24.9%)
+negative: 81 examples (25.2%)
+neutral: 80 examples (24.9%)
+positive: 80 examples (24.9%)
 ```
 
 ## Usage

config.json

@@ -32,16 +32,16 @@
   },
   "embedding_dim": 768,
   "id_to_label": {
-    "0": "positive",
-    "1": "mixed",
-    "2": "negative",
-    "3": "neutral"
+    "0": "negative",
+    "1": "neutral",
+    "2": "positive",
+    "3": "mixed"
   },
   "label_to_id": {
-    "mixed": 1,
-    "negative": 2,
-    "neutral": 3,
-    "positive": 0
+    "mixed": 3,
+    "negative": 0,
+    "neutral": 1,
+    "positive": 2
   },
   "model_name": "answerdotai/ModernBERT-base",
   "train_steps": 11

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d4691e6e331be7c280d9b022e432cd217e7f60f76e0e6602ebb44ca388c23f4b
+oid sha256:0c72dc43359c69c503dd9518c53e756817467ed7d97356464cc1b2e8d5fe2ce4
 size 3562896