{ "output_dir": "/Users/Mathieu/Desktop/voice-sample-analysis/voice_clone29_vc28_split_repair_20260620T071500Z", "voice_clone_version": "VC29", "dataset_repo": "Mat021007/mathieu-voice-clone29-vc28-split-repair-20260620", "start_adapter": "Mat021007/mathieu-voice-qwen2p5-7b-voiceclone28-dpo-direct-review-repair-20260620", "dpo_adapter": "Mat021007/mathieu-voice-qwen2p5-7b-voiceclone29-dpo-vc28-split-repair-20260620", "status": "proof_failed_not_accepted", "direct_repair_weight": 12, "base_dpo_train_rows": 758, "direct_repair_train_source_rows": 12, "direct_repair_train_rows_weighted": 144, "dpo_train_rows": 902, "dpo_holdout_rows": 8, "eval_pack_rows": 8, "category_counts_train": { "Email / informal professional correspondence": 114, "Advice": 126, "Assignment": 560, "Submission / objection": 102 }, "category_counts_holdout": { "Assignment": 3, "Advice": 2, "Submission / objection": 1, "Email / informal professional correspondence": 2 }, "category_counts_eval": { "Assignment": 3, "Advice": 2, "Submission / objection": 1, "Email / informal professional correspondence": 2 }, "heldout_ids": [ "assignment_03", "assignment_08", "assignment_09", "advice_02", "advice_03", "submission_objection_03", "email_informal_professional_correspondence_02", "email_informal_professional_correspondence_03" ], "train_direct_ids": [ "assignment_01", "assignment_02", "assignment_04", "assignment_05", "assignment_06", "assignment_07", "advice_01", "advice_04", "submission_objection_01", "submission_objection_02", "email_informal_professional_correspondence_01", "email_informal_professional_correspondence_04" ], "council_officer_rows": 0, "decontamination": { "dpo_chosen_eval_exact_overlap_count": 0, "eval_reference_norm_count": 8, "proof_holdout_is_from_vc28_failed_proof": true }, "training": { "learning_rate": "5e-7", "beta": "0.03", "num_train_epochs": 1, "direct_repair_weight": 12 }, "acceptance_rule": "VC29 is not accepted until fresh proof outputs pass evaluator, corpus lock, Voice Clone 2.0 audit, quantitative stylometry, source-matched comparison, and Mat review.", "training_run": { "adapter": "Mat021007/mathieu-voice-qwen2p5-7b-voiceclone29-dpo-vc28-split-repair-20260620", "dataset_repo": "Mat021007/mathieu-voice-clone29-vc28-split-repair-20260620", "training_job": "6a363b02953ed90bfb9457b8", "training_status": "COMPLETED", "status": "trained_not_proved_not_accepted", "metrics": { "train_runtime": 534, "train_loss": 0.6886, "final_eval_loss": 0.6855, "final_eval_rewards_accuracy": 0.75, "final_eval_rewards_margin": 0.01554, "train_steps": 113, "eval_rows": 8 }, "verified_adapter_files": [ "adapter_config.json", "adapter_model.safetensors", "tokenizer.json", "tokenizer_config.json", "training_args.bin", "ref/adapter_config.json", "ref/adapter_model.safetensors" ], "acceptance_rule": "Not accepted until fresh proof outputs pass evaluator, corpus lock, Voice Clone 2.0 audit, quantitative stylometry, source-matched comparison, and Mat review." }, "latest_proof_run": { "adapter": "Mat021007/mathieu-voice-qwen2p5-7b-voiceclone29-dpo-vc28-split-repair-20260620", "dataset_repo": "Mat021007/mathieu-voice-clone29-vc28-split-repair-20260620", "dpo_job": "6a363b02953ed90bfb9457b8", "proof_job": "6a363e47953ed90bfb9457d8", "path_in_repo": "samples_voiceclone29_dpo_vc28_split_repair_20260620T071550Z", "proof_folder": "/Users/Mathieu/Desktop/voice-sample-analysis/voice_clone29_vc28_split_repair_20260620T071500Z/samples_voiceclone29_dpo_vc28_split_repair_20260620T071550Z", "status": "proof_failed_not_accepted", "eval_pack_rows": 8, "proof_set_limitation": "Small VC29 repair-progression proof drawn from VC28 failed proof holdout; not an acceptance-sized 25-row proof set.", "council_officer_rows": 0, "gate_summaries": { "evaluator": { "total": 8, "passes": 7, "failures": 1, "failure_ids": [ "email_informal_professional_correspondence_02" ], "failures_by_category": { "Email / informal professional correspondence": 1 } }, "corpus_lock": { "total": 8, "passes": 6, "failures": 2, "failure_ids": [ "assignment_08", "assignment_09" ], "failures_by_category": { "Assignment": 2 } }, "voice_clone2_audit": { "total": 8, "passes": 4, "failures": 4, "failure_ids": [ "assignment_03", "assignment_08", "assignment_09", "email_informal_professional_correspondence_02" ], "failures_by_category": { "Assignment": 3, "Email / informal professional correspondence": 1 } }, "quantitative_stylometry": { "total": 8, "passes": 8, "failures": 0, "failure_ids": [], "failures_by_category": {} }, "source_matched_comparison": { "total": 8, "passes": 7, "failures": 1, "exact_reference_matches": 0, "flagged_count": 1, "failure_ids": [ "email_informal_professional_correspondence_02" ] } }, "all_machine_gates_clean": { "count": 4, "total": 8, "ids": [ "advice_02", "advice_03", "submission_objection_03", "email_informal_professional_correspondence_03" ] }, "assignment_all_machine_gates_clean": { "count": 0, "total": 3, "ids": [] }, "any_gate_failures_by_category": { "Assignment": 3, "Email / informal professional correspondence": 1 }, "codex_direct_failure_audit": { "status": "not_accepted", "hard_fail_count": 8, "assignment_hard_fail_count": 3, "machine_clean_but_direct_hard_fail_count": 4, "machine_clean_but_direct_hard_fail_ids": [ "advice_02", "advice_03", "submission_objection_03", "email_informal_professional_correspondence_03" ], "audit_surface": "Codex direct source-matched failure audit, not Mat acceptance review", "mat_acceptance_status": "pending_user_review; cannot be accepted without Mat saying it sounds like Mat" }, "acceptance_rule": "Not accepted until fresh proof outputs pass evaluator, corpus lock, Voice Clone 2.0 audit, quantitative stylometry, source-matched comparison, and Mat review." } }