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 +759 -759
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: 326
 - Embedding Dimension: 768
 ## Class Distribution
 ```
-account: 81 examples (24.8%)
-billing: 82 examples (25.2%)
-general_inquiry: 81 examples (24.8%)
-technical: 82 examples (25.2%)
 ```
 ## Usage

 - Base Model: answerdotai/ModernBERT-base
 - Number of Classes: 4
+- Total Examples: 20
 - Embedding Dimension: 768
 ## Class Distribution
 ```
+account: 5 examples (25.0%)
+billing: 5 examples (25.0%)
+general_inquiry: 5 examples (25.0%)
+technical: 5 examples (25.0%)
 ```
 ## Usage

config.json CHANGED Viewed

@@ -44,5 +44,11 @@
     "technical": 1
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 11
 }

     "technical": 1
   },
   "model_name": "answerdotai/ModernBERT-base",
+  "train_steps": 11,
+  "training_history": {
+    "account": 100,
+    "billing": 100,
+    "general_inquiry": 100,
+    "technical": 100
+  }
 }

examples.json CHANGED Viewed

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       "label": "account",
       "text": "Account created with typo in email. How to correct without losing data?"

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       "label": "account",
       "text": "Account created with typo in email. How to correct without losing data?"

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