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Create model_index.json

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+ {
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+ "description": "DistilBERT-based 3-class classifier for clinical text, distinguishing between RISK: HIGH, RISK: LOW, and ATTACK: DETECTED.",
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+ "model_name": "Robust-Clinical-Risk-Detector",
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+ "pipeline_tag": "text-classification",
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+ "tags": [
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+ "distilbert",
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+ "healthcare",
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+ "clinical-nlp",
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+ "risk-assessment",
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+ "adversarial-robustness",
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+ "pytorch"
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+ ],
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+ "datasets": [
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+ "Health/perturbed_ehr_notes"
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+ ],
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+ "metrics": [
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+ {
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+ "name": "Clean Accuracy",
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+ "type": "accuracy",
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+ "value": 0.956
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+ },
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+ {
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+ "name": "Adversarial Robustness (A-ACC)",
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+ "type": "attack_accuracy",
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+ "value": 0.781
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+ }
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+ ]
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+ }