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

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Files changed (4) hide show

README.md +3 -3
config.json +5 -1
examples.json +761 -761
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -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
 - Embedding Dimension: 768
 ## Class Distribution
 ```
-high_quality: 80 examples (49.1%)
-poor_quality: 83 examples (50.9%)
 ```
 ## Usage

 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 2
+- Total Examples: 10
 - Embedding Dimension: 768
 ## Class Distribution
 ```
+high_quality: 5 examples (50.0%)
+poor_quality: 5 examples (50.0%)
 ```
 ## Usage

config.json CHANGED Viewed

@@ -40,5 +40,9 @@
     "poor_quality": 0
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 6
 }

     "poor_quality": 0
   },
   "model_name": "answerdotai/ModernBERT-base",
+  "train_steps": 6,
+  "training_history": {
+    "high_quality": 100,
+    "poor_quality": 100
+  }
 }

examples.json CHANGED Viewed

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       "text": "Business continuity plan addresses various disaster scenarios with detailed response procedures, communication protocols, and recovery time objectives. Regular testing schedule ensures plan effectiveness."

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       "label": "high_quality",
       "text": "Business continuity plan addresses various disaster scenarios with detailed response procedures, communication protocols, and recovery time objectives. Regular testing schedule ensures plan effectiveness."

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