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Update README.md

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@@ -62,7 +62,7 @@ The model integrates patient-reported symptoms (pain, temperature, wound status,
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  ## Training Details
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  ### Training Data
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- - **Dataset Size:** ~180,000-200,000 synthetic post-discharge cases
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  - **Data Features:**
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  - Patient check-in forms (pain, temperature, wound, mobility, GI function)
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  - Wearable device data (HR, SpO2, steps, sleep)
@@ -203,7 +203,7 @@ tokenizer = AutoTokenizer.from_pretrained(base_model)
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  # Load Phase2 adapter
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  model = PeftModel.from_pretrained(
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  model,
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- "YOUR_USERNAME/surgicalcopilot-phase2-27b"
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  )
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  # System prompt
 
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  ## Training Details
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  ### Training Data
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+ - **Dataset Size:** ~15,000-20,000 synthetic post-discharge cases
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  - **Data Features:**
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  - Patient check-in forms (pain, temperature, wound, mobility, GI function)
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  - Wearable device data (HR, SpO2, steps, sleep)
 
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  # Load Phase2 adapter
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  model = PeftModel.from_pretrained(
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  model,
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+ "bobby07007/surgicalcopilot-phase2-27b"
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  )
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  # System prompt