| { | |
| "results": { | |
| "ko_eqbench": { | |
| "alias": " - ko_eqbench", | |
| "eqbench,none": 0.0, | |
| "eqbench_stderr,none": 0.0, | |
| "percent_parseable,none": 0.0, | |
| "percent_parseable_stderr,none": 0.0 | |
| }, | |
| "ko_gpqa_diamond_zeroshot": { | |
| "alias": " - ko_gpqa_diamond_zeroshot", | |
| "acc_norm,none": 0.2222222222222222, | |
| "acc_norm_stderr,none": 0.02962022787479047 | |
| }, | |
| "ko_gsm8k": { | |
| "alias": " - ko_gsm8k", | |
| "exact_match,strict-match": 0.012130401819560273, | |
| "exact_match_stderr,strict-match": 0.0030152942428909426, | |
| "exact_match,flexible-extract": 0.01288855193328279, | |
| "exact_match_stderr,flexible-extract": 0.003106901266499632 | |
| }, | |
| "ko_ifeval": { | |
| "alias": " - ko_ifeval", | |
| "prompt_level_strict_acc,none": 0.20040485829959515, | |
| "prompt_level_strict_acc_stderr,none": 0.01802875498269899, | |
| "inst_level_strict_acc,none": 0.30118694362017806, | |
| "inst_level_strict_acc_stderr,none": "N/A", | |
| "prompt_level_loose_acc,none": 0.2145748987854251, | |
| "prompt_level_loose_acc_stderr,none": 0.018489211348825082, | |
| "inst_level_loose_acc,none": 0.32047477744807124, | |
| "inst_level_loose_acc_stderr,none": "N/A" | |
| }, | |
| "ko_winogrande": { | |
| "alias": " - ko_winogrande", | |
| "acc,none": 0.5509076558800315, | |
| "acc_stderr,none": 0.013979459389140832 | |
| }, | |
| "kornat_common": { | |
| "alias": " - kornat_common", | |
| "acc_norm,none": 0.23951398135818908, | |
| "acc_norm_stderr,none": 0.0055065835877378495 | |
| }, | |
| "kornat_harmless": { | |
| "alias": " - kornat_harmless", | |
| "acc_norm,none": 0.5904000000000112, | |
| "acc_norm_stderr,none": 0.002057745986015946 | |
| }, | |
| "kornat_helpful": { | |
| "alias": " - kornat_helpful", | |
| "acc_norm,none": 0.3945, | |
| "acc_norm_stderr,none": 0.006870842687736337 | |
| }, | |
| "kornat_social": { | |
| "alias": " - kornat_social", | |
| "A-SVA,none": 0.5100141985207356, | |
| "A-SVA_stderr,none": 0.0037638125155596046 | |
| } | |
| }, | |
| "versions": { | |
| "all": 2, | |
| "ko_eqbench": 2, | |
| "ko_gpqa_diamond_zeroshot": 2, | |
| "ko_gsm8k": 2, | |
| "ko_ifeval": 2, | |
| "ko_winogrande": 2, | |
| "kornat_common": 2, | |
| "kornat_harmless": 2, | |
| "kornat_helpful": 2, | |
| "kornat_social": 2 | |
| }, | |
| "config_general": { | |
| "model_name": "DILAB-HYU/koquality-polyglot-3.8b", | |
| "model_sha": "4431ef3b680e3458652654f71417f7284bc6e87c", | |
| "model_dtype": "torch.float16", | |
| "lighteval_sha": "", | |
| "num_few_shot_default": 0, | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null | |
| } | |
| } |