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config.json: v1.3.0 license-screened retrain numbers

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Files changed (1) hide show
  1. config.json +7 -7
config.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "model_type": "poster-sentry",
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- "version": "1.2.0",
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  "architecture": "stacked_logistic_regression_multimodal",
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  "embedding_backbone": "minishlab/potion-base-32M",
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  "embedding_dim": 512,
@@ -15,17 +15,17 @@
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  "head_file": "models/poster_sentry_head.npz",
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  "scaler": "StandardScaler",
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  "classifier": "LogisticRegression",
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- "accuracy": 0.9291,
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  "accuracy_ci95": [
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- 0.9034,
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- 0.9484
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  ],
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- "oof_accuracy": 0.9435,
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- "training_samples": 3381,
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  "label_provenance": "human-validated (three-reviewer survey with blinded adjudication)",
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  "library_name": "model2vec",
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  "pdf_backend": "pdfplumber + pypdfium2",
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  "stage1": "LogisticRegression over the 512-d text embedding; poster probability becomes the text_score feature",
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  "final_classifier_features": 31,
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- "corpus_poster_pct": 80.6
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  }
 
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  {
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  "model_type": "poster-sentry",
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+ "version": "1.3.0",
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  "architecture": "stacked_logistic_regression_multimodal",
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  "embedding_backbone": "minishlab/potion-base-32M",
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  "embedding_dim": 512,
 
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  "head_file": "models/poster_sentry_head.npz",
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  "scaler": "StandardScaler",
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  "classifier": "LogisticRegression",
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+ "accuracy": 0.9313,
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  "accuracy_ci95": [
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+ 0.9055,
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+ 0.9504
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  ],
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+ "oof_accuracy": 0.9391,
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+ "training_samples": 3298,
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  "label_provenance": "human-validated (three-reviewer survey with blinded adjudication)",
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  "library_name": "model2vec",
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  "pdf_backend": "pdfplumber + pypdfium2",
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  "stage1": "LogisticRegression over the 512-d text embedding; poster probability becomes the text_score feature",
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  "final_classifier_features": 31,
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+ "corpus_poster_pct": 80.5
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  }