| { | |
| "results": { | |
| "ko_eqbench": { | |
| "alias": " - ko_eqbench", | |
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| "percent_parseable,none": 0.0, | |
| "percent_parseable_stderr,none": 0.0 | |
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| "ko_gpqa_diamond_zeroshot": { | |
| "alias": " - ko_gpqa_diamond_zeroshot", | |
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| }, | |
| "ko_gsm8k": { | |
| "alias": " - ko_gsm8k", | |
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| "exact_match,flexible-extract": 0.02880970432145565, | |
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| "inst_level_strict_acc,none": 0.24777448071216618, | |
| "inst_level_strict_acc_stderr,none": "N/A", | |
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| "inst_level_loose_acc_stderr,none": "N/A" | |
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| "ko_winogrande": { | |
| "alias": " - ko_winogrande", | |
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| }, | |
| "kornat_common": { | |
| "alias": " - kornat_common", | |
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| "acc_norm_stderr,none": 0.005281547491162182 | |
| }, | |
| "kornat_harmless": { | |
| "alias": " - kornat_harmless", | |
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| "acc_norm_stderr,none": 0.002056828937162803 | |
| }, | |
| "kornat_helpful": { | |
| "alias": " - kornat_helpful", | |
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| "acc_norm_stderr,none": 0.006880955513181841 | |
| }, | |
| "kornat_social": { | |
| "alias": " - kornat_social", | |
| "A-SVA,none": 0.5101194616786303, | |
| "A-SVA_stderr,none": 0.0037630058643371446 | |
| } | |
| }, | |
| "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": "amphora/small-instruct", | |
| "model_sha": "6a01ee3280aba3414a4e9580b54b1c21b3ee757d", | |
| "model_dtype": "torch.float16", | |
| "lighteval_sha": "", | |
| "num_few_shot_default": 0, | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null | |
| } | |
| } |