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

Browse files

Files changed (4) hide show

README.md +5 -5
config.json +7 -1
examples.json +756 -756
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -17,16 +17,16 @@ You can install it with `pip install adaptive-classifier`.
 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 4
-- Total Examples: 321
 - Embedding Dimension: 768
 ## Class Distribution
 ```
-mixed: 80 examples (24.9%)
-negative: 81 examples (25.2%)
-neutral: 80 examples (24.9%)
-positive: 80 examples (24.9%)
 ```
 ## Usage

 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 4
+- Total Examples: 20
 - Embedding Dimension: 768
 ## Class Distribution
 ```
+mixed: 5 examples (25.0%)
+negative: 5 examples (25.0%)
+neutral: 5 examples (25.0%)
+positive: 5 examples (25.0%)
 ```
 ## Usage

config.json CHANGED Viewed

@@ -44,5 +44,11 @@
     "positive": 2
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 11
 }

     "positive": 2
   },
   "model_name": "answerdotai/ModernBERT-base",
+  "train_steps": 11,
+  "training_history": {
+    "mixed": 100,
+    "negative": 100,
+    "neutral": 100,
+    "positive": 100
+  }
 }

examples.json CHANGED Viewed

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