{ "attempt": 4, "checkpoint": "${WORKSPACE}/pretraining/runs/deep44_chat_repair_04_20261109/step_0000128_5937a6def881", "comparisons": [ { "baseline": "parent2000", "confidence_interval_97_5": [ 0.2868590999102137, 0.3503937996078803 ], "gain": 0.319, "gained": 331, "lost": 12, "method": "Scenario-cluster paired percentile bootstrap, 10000 draws; 97.5% interval for each of two baseline comparisons. Covers sampling uncertainty within this authored panel, not all chat tasks." }, { "baseline": "attempt5", "confidence_interval_97_5": [ 0.22927273486383004, 0.2900111982191158 ], "gain": 0.26, "gained": 266, "lost": 6, "method": "Scenario-cluster paired percentile bootstrap, 10000 draws; 97.5% interval for each of two baseline comparisons. Covers sampling uncertainty within this authored panel, not all chat tasks." } ], "legacy_test": { "assistant_nll": 1.0202431740774651, "components": { "constraints": 0.37785995097947306, "dialogue": 0.6084018315086723, "general": 1.7695224359631538, "grounded": 0.44701617732062005, "knowledge": 1.3031791490502656, "rewrite": 1.2700324356555939, "skills": 0.9353672320915697, "social": 1.450566180050373 }, "empty_rate": 0.0, "generated_counts": { "constraints": 128, "dialogue": 128, "grounded": 128, "knowledge": 128, "skills": 192 }, "generated_macro_pass": 0.5598958333333334, "generated_pass_counts": { "constraints": 109, "dialogue": 114, "grounded": 68, "knowledge": 26, "skills": 62 }, "generated_rates": { "constraints": 0.8515625, "dialogue": 0.890625, "grounded": 0.53125, "knowledge": 0.203125, "skills": 0.3229166666666667 }, "natural_stop": 0.9865591397849462, "precision": "exact-fp32-masters", "qualitative_count": 40, "repetition_rate": 0.020161290322580645, "replacement_character_rate": 0.0, "retention": { "sources": { "dclm": 2.9645858108997345, "web": 2.8973595052957535, "wiki": 2.422679301351309 }, "val_loss": 2.8633367460221053, "validation_fingerprint": "2e9444ddc7de3cf4685911d967c1ad605d9b8cfd9244f7039621e828bf088ffa" }, "scope": "Checked grounded answers, deterministic tasks and authored conversation context. Public general/dialogue/social outputs require semantic review. No code, SQL, JSON, or public benchmark scores select checkpoints.", "split": "test", "step": 128, "stop_reason_counts": { "token_limit": 10, "turn_end": 734 }, "turn_end_rate": 0.9865591397849462 }, "new_test": { "correct": 519, "counts": { "abstention": 172, "constraints": 25, "dialogue": 194, "grounded": 81, "reasoning": 47 }, "empty": 0, "false_abstention_signals": 111, "identity": { "data": "abcdf03853c4f00fff1e92cdf5f98d8ee3bea42526c18f15585650b368ddd2f3", "evaluator": "40dbfada2856c91b0a7ffe5df7b9584175dbd479a1c6b581d1935d38dd6228aa", "parent": "2118c7446c412a4ee7a4b7a356a211ad91574983e213da45980707b5fa1ca124" }, "missing_fact_abstention_signals": 183, "natural_stop": 1.0, "repetition_rate": 0.0, "scoring": "Conservative whole-answer equivalence for factual tasks; exact format for transformation tasks. Strict format compliance is reported separately. Whole-passage copying and contradictory extra claims are not accepted.", "strict_correct": 518, "strict_counts": { "abstention": 172, "constraints": 25, "dialogue": 194, "grounded": 80, "reasoning": 47 }, "total": 1000, "totals": { "abstention": 200, "constraints": 200, "dialogue": 200, "grounded": 200, "reasoning": 200 } }, "preserved": true, "public": { "chat": { "answerability": { "False": { "answer_match": 0, "answer_match_with_neutral_wrapper": 0, "clean_response": 15, "count": 15, "empty": 0, "natural_stop": 15, "repeated": 0, "strict_task_success": 0, "token_limit": 0, "unexpected_structure": 0 }, "True": { "answer_match": 12, "answer_match_with_neutral_wrapper": 12, "clean_response": 15, "count": 15, "empty": 0, "natural_stop": 15, "repeated": 0, "strict_task_success": 12, "token_limit": 0, "unexpected_structure": 0 } }, "categories": { "answerability": { "answer_match": 12, "answer_match_with_neutral_wrapper": 12, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 12, "token_limit": 0, "unexpected_structure": 0 }, "conversation": { "answer_match": 26, "answer_match_with_neutral_wrapper": 26, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 26, "token_limit": 0, "unexpected_structure": 0 }, "instructions": { "answer_match": 15, "answer_match_with_neutral_wrapper": 15, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 15, "token_limit": 0, "unexpected_structure": 0 }, "knowledge": { "answer_match": 16, "answer_match_with_neutral_wrapper": 16, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 16, "token_limit": 0, "unexpected_structure": 0 }, "reading": { "answer_match": 27, "answer_match_with_neutral_wrapper": 27, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 27, "token_limit": 0, "unexpected_structure": 0 }, "reasoning": { "answer_match": 11, "answer_match_with_neutral_wrapper": 11, "clean_response": 30, "count": 30, "empty": 0, "natural_stop": 30, "repeated": 0, "strict_task_success": 11, "token_limit": 0, "unexpected_structure": 0 } }, "caveat": "Answer match is conservative automatic scoring, not a complete semantic correctness judgment. Non-matching answers and open chat require review. Repetition detection is heuristic.", "objective": { "answer_match": 107, "answer_match_with_neutral_wrapper": 107, "clean_response": 180, "count": 180, "empty": 0, "natural_stop": 180, "repeated": 0, "strict_task_success": 107, "token_limit": 0, "unexpected_structure": 0 }, "response_control_all": { "answer_match": 107, "answer_match_with_neutral_wrapper": 107, "clean_response": 189, "count": 192, "empty": 0, "natural_stop": 191, "repeated": 3, "strict_task_success": 107, "token_limit": 1, "unexpected_structure": 0 } }, "choices": { "arc_challenge": { "acc": 0.2935153583617747, "acc_norm": 0.30887372013651876, "complete": true, "context_truncated_choices": 0, "evaluated": 1172, "expected": 1172 }, "arc_easy": { "acc": 0.6258417508417509, "acc_norm": 0.6233164983164983, "complete": true, "context_truncated_choices": 0, "evaluated": 2376, "expected": 2376 }, "hellaswag": { "acc": 0.3285202150965943, "acc_norm": 0.39404501095399325, "complete": true, "context_truncated_choices": 0, "evaluated": 10042, "expected": 10042 }, "piqa": { "acc": 0.6648531011969532, "acc_norm": 0.6621327529923831, "complete": true, "context_truncated_choices": 0, "evaluated": 1838, "expected": 1838 } }, "complete": true, "ifeval": { "loose": { "instruction_accuracy": 0.3249400479616307, "instructions": 834, "prompt_accuracy": 0.1922365988909427, "prompts": 541 }, "strict": { "instruction_accuracy": 0.3009592326139089, "instructions": 834, "prompt_accuracy": 0.17929759704251386, "prompts": 541 } }, "model_sha256": "7b2d8777040f05d8e0849acac4e45013b2de3d72145c363cd22825e80115c515" }, "reasons": [], "scope": "One dev-selected finalist; reserved authored task panel is not a complete measure of conversational quality. Public and historical suites were already used in earlier experiments.", "significant_on_reserved_panel_and_passed_guards": true }