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Verified signature## Training Metrics **Evaluation Loss**: Converged from 0.543 to 0.502 over 1.8k training steps, demonstrating stable learning progression.  **Evaluation Precision**: Achieved 0.813 precision on the evaluation set, improving consistently from an initial 0.783.  **Evaluation Accuracy**: Reached 0.812 accuracy on the evaluation set, showing steady improvement from 0.778 during training.  **Training Loss**: Decreased from approximately 0.97 to 0.39, indicating effective model optimization throughout the training process.  **Evaluation Precision**: Achieved 0.813 precision on the evaluation set, improving consistently from an initial 0.783.  **Evaluation Accuracy**: Reached 0.812 accuracy on the evaluation set, showing steady improvement from 0.778 during training.  **Training Loss**: Decreased from approximately 0.97 to 0.39, indicating effective model optimization throughout the training process.  **Evaluation Precision**: Achieved 0.813 precision on the evaluation set, improving consistently from an initial 0.783.  **Evaluation Accuracy**: Reached 0.812 accuracy on the evaluation set, showing steady improvement from 0.778 during training.  **Training Loss**: Decreased from approximately 0.97 to 0.39, indicating effective model optimization throughout the training process. ![W&B Chart 7_19_2025, 12_13_23 A…4366ab1 -
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