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olmoe-dclm-metrics

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olmoe-dclm-metrics
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{
    "name": "/net/nfs.cirrascale/allennlp/davidw/proj/OLMoE/script/humaneval",
    "uuid": "d31d6b3f-15ee-4d96-ac2e-b2d780bf206e",
    "model": "/net/nfs.cirrascale/allennlp/davidw/checkpoints/moe-release/OLMoE-7B-A1B/step1220000-tokens5117B",
    "creation_date": "2024_08_06-02_14_00",
    "eval_metrics": {
        "icl": {
            "human_eval": 0.006097560748457909,
            "human_eval_cpp": 0.12422360479831696,
            "human_eval_js": 0.0,
            "human_eval_return_simple": 0.7567567825317383,
            "human_eval_return_complex": 0.14173229038715363,
            "human_eval_25": 0.060975611209869385,
            "human_eval_50": 0.1036585345864296,
            "human_eval_75": 0.12195122241973877
        }
    },
    "missing tasks": "['mmlu_zeroshot', 'hellaswag_zeroshot', 'jeopardy', 'triviaqa_sm_sub', 'gsm8k_cot', 'agi_eval_sat_math_cot', 'aqua_cot', 'svamp_cot', 'bigbench_qa_wikidata', 'arc_easy', 'arc_challenge', 'mmlu_fewshot', 'bigbench_misconceptions', 'copa', 'siqa', 'commonsense_qa', 'piqa', 'openbook_qa', 'bigbench_novel_concepts', 'bigbench_strange_stories', 'bigbench_strategy_qa', 'lambada_openai', 'hellaswag', 'winograd', 'winogrande', 'bigbench_conlang_translation', 'bigbench_language_identification', 'bigbench_conceptual_combinations', 'bigbench_elementary_math_qa', 'bigbench_dyck_languages', 'agi_eval_lsat_ar', 'bigbench_cs_algorithms', 'bigbench_logical_deduction', 'bigbench_operators', 'bigbench_repeat_copy_logic', 'simple_arithmetic_nospaces', 'simple_arithmetic_withspaces', 'math_qa', 'logi_qa', 'pubmed_qa_labeled', 'squad', 'agi_eval_lsat_rc', 'agi_eval_lsat_lr', 'coqa', 'bigbench_understanding_fables', 'boolq', 'agi_eval_sat_en', 'winogender_mc_female', 'winogender_mc_male', 'enterprise_pii_classification', 'bbq', 'gpqa_main', 'gpqa_diamond']",
    "aggregated_task_categories_centered": {
        "commonsense reasoning": NaN,
        "language understanding": NaN,
        "reading comprehension": NaN,
        "safety": NaN,
        "symbolic problem solving": NaN,
        "world knowledge": NaN
    },
    "aggregated_centered_results": NaN,
    "aggregated_results": NaN,
    "rw_small": NaN,
    "rw_small_centered": NaN,
    "95%_CI_above": NaN,
    "95%_CI_above_centered": NaN,
    "99%_CI_above": NaN,
    "99%_CI_above_centered": NaN,
    "low_variance_datasets": NaN,
    "low_variance_datasets_centered": NaN
}