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@@ -43,7 +43,10 @@ In this fine-tuning process, only the DoRA adapter components are trained. The o
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  The DoRA hyperparameters were selected to effectively balance adaptation capability and memory efficiency. The DoRA adapter achieved a significant improvement in performance, with the macro F1 score increasing from an initial value of **0.07** (before fine-tuning) to **0.50** (after fine-tuning).
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  Two confusion matrix heatmaps illustrate the performance change:
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- - **Heatmap Before Fine-Tuning:** *[Heatmap Placeholder – Before]*
 
 
 
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  - **Heatmap After Fine-Tuning:**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67c40beb3a3d19149b5bdfbf/kBJ4mc5TdZm0GKPdjaJze.png)
 
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  The DoRA hyperparameters were selected to effectively balance adaptation capability and memory efficiency. The DoRA adapter achieved a significant improvement in performance, with the macro F1 score increasing from an initial value of **0.07** (before fine-tuning) to **0.50** (after fine-tuning).
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  Two confusion matrix heatmaps illustrate the performance change:
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+ - **Heatmap Before Fine-Tuning:**
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67c40beb3a3d19149b5bdfbf/DW0URi77UKvToUUSteYrq.png)
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+
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  - **Heatmap After Fine-Tuning:**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67c40beb3a3d19149b5bdfbf/kBJ4mc5TdZm0GKPdjaJze.png)