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  ## Model Card: QwenMedic-v1
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  ### Overview
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  QwenMedic-v1 is a medical-specialty adaptation of the Qwen3-1.7B causal language model, fine-tuned for clinical reasoning and instruction-following tasks. It was trained for **1 epoch** on two curated medical datasets to improve diagnostic Q&A and clinical summarization.
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  - May produce **hallucinations** or plausible-sounding but incorrect advice
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  - **Biases** due to training-data coverage
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  - **Not FDA-approved**—should not replace professional medical judgment
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- - Avoid feeding **patient-identifiable** data without proper de-identification
 
 
 
 
 
 
 
 
 
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  ### Inference Example
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  ## Model Card: QwenMedic-v1
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+ ![Model_Image](assets/model_image.png)
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+
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  ### Overview
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  QwenMedic-v1 is a medical-specialty adaptation of the Qwen3-1.7B causal language model, fine-tuned for clinical reasoning and instruction-following tasks. It was trained for **1 epoch** on two curated medical datasets to improve diagnostic Q&A and clinical summarization.
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  - May produce **hallucinations** or plausible-sounding but incorrect advice
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  - **Biases** due to training-data coverage
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  - **Not FDA-approved**—should not replace professional medical judgment
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+ - Avoid feeding **patient-identifiable** data without proper de-identification
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+
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+ ### Summary of Final Training Metrics
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+ | Metric | Step | Smoothed | Raw Value |
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+ |------------------:|-----:|---------:|----------:|
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+ | **Epoch** | 1539 | 0.9979 | 0.9997 |
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+ | **Gradient Norm** | 1539 | 0.3882 | 0.3974 |
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+ | **Learning Rate** | 1539 | — | 0 |
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+ | **Training Loss** | 1539 | 1.5216 | 1.4703 |
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  ### Inference Example
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