| { | |
| "name": "/net/nfs.cirrascale/allennlp/davidw/proj/OLMoE/script/humaneval", | |
| "uuid": "3a11e770-7075-42f3-81f6-c14a6db4953d", | |
| "model": "/net/nfs.cirrascale/allennlp/davidw/checkpoints/moe-release/OLMoE-7B-A1B/step1223842-tokens5100B", | |
| "creation_date": "2024_08_06-02_21_03", | |
| "eval_metrics": { | |
| "icl": { | |
| "human_eval": 0.012195121496915817, | |
| "human_eval_cpp": 0.1304347813129425, | |
| "human_eval_js": 0.0, | |
| "human_eval_return_simple": 0.8648648858070374, | |
| "human_eval_return_complex": 0.14960630238056183, | |
| "human_eval_25": 0.04268292710185051, | |
| "human_eval_50": 0.09146341681480408, | |
| "human_eval_75": 0.16463415324687958 | |
| } | |
| }, | |
| "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 | |
| } |