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Upload learned selector joint verifier candidate

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README.md ADDED
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+ ---
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+ language: en
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+ library_name: transformers
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+ license: cc-by-nc-2.0
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+ tags:
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+ - scientific-claim-verification
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+ - scifact
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+ - evidence-selection
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+ - retrieved-evidence
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+ metrics:
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+ - accuracy
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+ - f1
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+ ---
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+
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+ # VeriSci Constrained Selector Joint Verifier
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+
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+ Experimental candidate with train-dev constrained decision calibration.
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+
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+ - Selector base: `microsoft/deberta-v3-small`
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+ - Verifier base: `rishhh/verisci-claim-verifier-retrieval-adapted-seed123`
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+ - Raw SciFact validation accuracy: 0.7000
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+ - Raw SciFact validation macro F1: 0.6614
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+ - Thresholded SciFact validation accuracy: 0.7000
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+ - Thresholded SciFact validation macro F1: 0.6614
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+ - Promotion gate passed: `False`
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+ - Promotion gate reason: `candidate_accuracy_below_target: 0.700 < 0.910`
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+
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+ This artifact is experimental unless the repository documentation marks it as promoted.
evaluation/constrained_selector_joint_eval_report.md ADDED
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+ # Constrained Selector Joint Verifier Evaluation
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+
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+ - Model repo: `rishhh/verisci-claim-verifier-constrained-selector-joint-seed123`
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+ - Selector base: `microsoft/deberta-v3-small`
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+ - Verifier base: `rishhh/verisci-claim-verifier-retrieval-adapted-seed123`
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+ - Retriever: `rishhh/verisci-scifact-e5-retriever`
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+
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+ ## SciFact Validation
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+
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+ - Raw original-label accuracy: 0.700
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+ - Raw original-label macro F1: 0.661
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+ - Thresholded original-label accuracy: 0.700
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+ - Thresholded original-label macro F1: 0.661
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+ - Raw retrieved-evidence-label accuracy: 0.736
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+ - Raw retrieved-evidence-label macro F1: 0.709
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+ - Thresholded retrieved-evidence-label accuracy: 0.736
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+ - Thresholded retrieved-evidence-label macro F1: 0.709
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+ - Retrieval oracle accuracy: 0.929
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+ - Promotion gate passed: `False`
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+ - Promotion gate reason: `candidate_accuracy_below_target: 0.700 < 0.910`
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+
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+ ## Decision Policy
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+
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+ ```json
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+ {
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+ "strategy": "argmax_fallback_no_policy_met_nei_recall_floor",
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+ "min_nei_recall": 0.74
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+ }
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+ ```
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+
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+ ## Selection Protocol
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+
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+ - Scope: SciFact train only; train/dev split by claim id
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+ - Validation used for model selection: `False`
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+
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+ ## Limitations
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+
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+ - Selector supervision uses SciFact evidence sentence IDs when the evidence document is retrieved.
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+ - SciFact validation is public and is not a hidden benchmark.
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+ - This is still limited by retrieval recall and by the small SciFact train set.
evaluation/constrained_selector_joint_eval_results.json ADDED
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+ {
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+ "Selector supervision uses SciFact evidence sentence IDs when the evidence document is retrieved.",
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+ "SciFact validation is public and is not a hidden benchmark.",
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+ "This is still limited by retrieval recall and by the small SciFact train set."
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