| { | |
| "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": 0.06974981046247157, | |
| "exact_match_stderr,strict-match": 0.007016389571013844, | |
| "exact_match,flexible-extract": 0.12661106899166036, | |
| "exact_match_stderr,flexible-extract": 0.009159715283081085 | |
| }, | |
| "ko_ifeval": { | |
| "alias": " - ko_ifeval", | |
| "prompt_level_strict_acc,none": 0.24493927125506074, | |
| "prompt_level_strict_acc_stderr,none": 0.01936853142177568, | |
| "inst_level_strict_acc,none": 0.3397626112759644, | |
| "inst_level_strict_acc_stderr,none": "N/A", | |
| "prompt_level_loose_acc,none": 0.2591093117408907, | |
| "prompt_level_loose_acc_stderr,none": 0.01973309101366167, | |
| "inst_level_loose_acc,none": 0.35311572700296734, | |
| "inst_level_loose_acc_stderr,none": "N/A" | |
| }, | |
| "ko_winogrande": { | |
| "alias": " - ko_winogrande", | |
| "acc,none": 0.6337805840568271, | |
| "acc_stderr,none": 0.013540144376588898 | |
| }, | |
| "kornat_common": { | |
| "alias": " - kornat_common", | |
| "acc_norm,none": 0.18375499334221038, | |
| "acc_norm_stderr,none": 0.004996904248291172 | |
| }, | |
| "kornat_harmless": { | |
| "alias": " - kornat_harmless", | |
| "acc_norm,none": 0.6279666666666887, | |
| "acc_norm_stderr,none": 0.002052799486532259 | |
| }, | |
| "kornat_helpful": { | |
| "alias": " - kornat_helpful", | |
| "acc_norm,none": 0.4825, | |
| "acc_norm_stderr,none": 0.007079684736482522 | |
| }, | |
| "kornat_social": { | |
| "alias": " - kornat_social", | |
| "A-SVA,none": 0.5097241093962489, | |
| "A-SVA_stderr,none": 0.0037639484637081635 | |
| } | |
| }, | |
| "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": "PracticeLLM/Custom-KoLLM-13B-v1", | |
| "model_sha": "ece285b0fda53d0e5d0db0e50781012234f6e4b7", | |
| "model_dtype": "torch.float16", | |
| "lighteval_sha": "", | |
| "num_few_shot_default": 0, | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null | |
| } | |
| } |