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Create model_index.json

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+ ```json
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+ // model_index.json
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+ {
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+ "results": [
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+ {
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+ "metrics": [
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+ {
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+ "name": "Weighted F1 Score",
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+ "type": "f1",
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+ "value": 0.915
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+ },
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+ {
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+ "name": "AUROC (Multi-class)",
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+ "type": "auroc",
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+ "value": 0.952
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+ }
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+ ],
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+ "task": {
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+ "name": "Tabular Classification",
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+ "type": "tabular-classification"
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+ },
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+ "dataset": {
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+ "name": "Internal Loan Default Dataset (Anonymized)",
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+ "type": "financial_loan_risk"
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+ },
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+ "model-index": 0
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+ }
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+ ],
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+ "model-index": [
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+ {
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+ "name": "DecisionTransformerForSequenceClassification",
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+ "results": [
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+ {
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+ "metrics": [
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+ {
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+ "name": "Weighted F1 Score",
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+ "type": "f1",
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+ "value": 0.915
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+ }
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+ ]
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+ }
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+ ]
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+ }
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+ ]
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+ }
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+ MODEL 2
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+ Model Name: vqa-multimodal-medical-report
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+
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+ JSON
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+
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+ // config.json
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+ {
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+ "_name_or_path": "clip-vit-base-patch32",
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+ "architectures": [
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+ "ViltForQuestionAnswering"
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+ ],
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+ "hidden_size": 768,
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+ "model_type": "vilt",
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+ "image_size": 384,
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+ "patch_size": 32,
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+ "num_hidden_layers": 12,
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+ "num_attention_heads": 12,
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+ "intermediate_size": 3072,
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+ "vocab_size": 30522,
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+ "classifier_dropout_prob": 0.1,
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+ "visual_embeds_cfg": {
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-12
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+ },
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+ "num_labels": 3129,
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+ "id2label": {
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+ "0": "yes",
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+ "1": "no",
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+ "2": "lungs",
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+ "3": "fracture",
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+ "...": "..."
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+ }
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+ }