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@@ -17,8 +17,8 @@ model-index:
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  name: "Semantic Similar Dataset"
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  type: "Semantic"
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  metrics:
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- - type: average_precision # Use a standard metric identifier if possible
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- value: 0.85 # Your model's score for this metric
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  name: Average Precision @ K
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  - type: recall
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  value: 0.92
@@ -32,8 +32,8 @@ model-index:
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  * **Base Model:** Qwen/Qwen3-Embedding-0.6B
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  * **Model Type:** Embedding Model
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  * **Fine-tuning Method:** Low-Rank Adaptation (LoRA)
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- * **Developer:** [Your Name/Organization Here]
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- * **Contact:** [Your Email/Contact Information Here]
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  * **Date:** July 13, 2025
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  ---
 
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  name: "Semantic Similar Dataset"
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  type: "Semantic"
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  metrics:
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+ - type: average_precision
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+ value: 0.85
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  name: Average Precision @ K
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  - type: recall
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  value: 0.92
 
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  * **Base Model:** Qwen/Qwen3-Embedding-0.6B
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  * **Model Type:** Embedding Model
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  * **Fine-tuning Method:** Low-Rank Adaptation (LoRA)
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+ * **Developer:** [https://github.com/gauravprasadgp]
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+ * **Contact:** [https://github.com/gauravprasadgp]
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  * **Date:** July 13, 2025
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  ---