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@@ -77,8 +77,11 @@ The model is trained for **7-class emotion classification** in English and achie
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  | 20 | 0.0025 | 0.1618 | 0.9569 | 0.9434 | 0.9569 | 0.9444 | 0.9571 | 0.9428 | 0.9569 |
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  πŸ“† **Final Accuracy:** **95.72%**
 
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  πŸ“† **Final F1 (Weighted):** **0.957**
 
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  πŸ“† **Final Precision:** **0.944**
 
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  πŸ“† **Final Recall:** **0.943**
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  | 20 | 0.0025 | 0.1618 | 0.9569 | 0.9434 | 0.9569 | 0.9444 | 0.9571 | 0.9428 | 0.9569 |
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  πŸ“† **Final Accuracy:** **95.72%**
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  πŸ“† **Final F1 (Weighted):** **0.957**
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  πŸ“† **Final Precision:** **0.944**
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  πŸ“† **Final Recall:** **0.943**
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