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@@ -24,13 +24,13 @@ model-index:
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  type: custom
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  metrics:
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  - type: accuracy
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- value: 0.95
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  name: Accuracy
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  - type: f1
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- value: 0.945
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  name: Harmful F1
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  - type: f1
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- value: 0.972
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  name: Safe F1
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  ---
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@@ -51,10 +51,10 @@ This model classifies user prompts as **harmful** or **safe** while generating d
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  | **Accuracy** | 95.0% |
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  | **Harmful Precision** | 93.5% |
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  | **Harmful Recall** | 95.6% |
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- | **Harmful F1** | 0.945 |
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  | **Safe Precision** | 100.0% |
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  | **Safe Recall** | 94.5% |
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- | **Safe F1** | 0.972 |
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  ### Confusion Matrix
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  ```
 
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  type: custom
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  metrics:
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  - type: accuracy
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+ value: 95.0
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  name: Accuracy
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  - type: f1
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+ value: 94.5
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  name: Harmful F1
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  - type: f1
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+ value: 97.2
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  name: Safe F1
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  ---
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  | **Accuracy** | 95.0% |
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  | **Harmful Precision** | 93.5% |
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  | **Harmful Recall** | 95.6% |
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+ | **Harmful F1** | 94.5% |
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  | **Safe Precision** | 100.0% |
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  | **Safe Recall** | 94.5% |
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+ | **Safe F1** | 97.2% |
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  ### Confusion Matrix
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  ```