Add results for 2023-09-27 06:10:01
Browse files
Nara-Lab/nallm-polyglot-ko-3.8b-base/result_2023-09-27 06:10:01.json
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{
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"results": {
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"ko_eqbench": {
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"alias": " - ko_eqbench",
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"eqbench,none": 0.0,
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"eqbench_stderr,none": 0.0,
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"percent_parseable,none": 0.0,
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"percent_parseable_stderr,none": 0.0
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},
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"ko_gpqa_diamond_zeroshot": {
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"alias": " - ko_gpqa_diamond_zeroshot",
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"acc_norm,none": 0.26262626262626265,
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"acc_norm_stderr,none": 0.03135305009533084
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},
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"ko_gsm8k": {
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"alias": " - ko_gsm8k",
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"exact_match,strict-match": 0.0,
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| 18 |
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"exact_match_stderr,strict-match": 0.0,
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| 19 |
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"exact_match,flexible-extract": 0.00530705079605762,
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"exact_match_stderr,flexible-extract": 0.0020013057209480353
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},
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"ko_ifeval": {
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"alias": " - ko_ifeval",
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"prompt_level_strict_acc,none": 0.13360323886639677,
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| 25 |
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"prompt_level_strict_acc_stderr,none": 0.015322987373561126,
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| 26 |
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"inst_level_strict_acc,none": 0.18397626112759644,
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"inst_level_strict_acc_stderr,none": "N/A",
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| 28 |
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"prompt_level_loose_acc,none": 0.14979757085020243,
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| 29 |
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"prompt_level_loose_acc_stderr,none": 0.0160727465537189,
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| 30 |
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"inst_level_loose_acc,none": 0.20771513353115728,
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| 31 |
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"inst_level_loose_acc_stderr,none": "N/A"
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},
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"ko_winogrande": {
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"alias": " - ko_winogrande",
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"acc,none": 0.5493291239147593,
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| 36 |
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"acc_stderr,none": 0.013983928869040237
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},
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| 38 |
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"kornat_common": {
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| 39 |
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"alias": " - kornat_common",
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| 40 |
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"acc_norm,none": 0.2789613848202397,
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| 41 |
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"acc_norm_stderr,none": 0.005786587055009252
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| 42 |
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},
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| 43 |
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"kornat_harmless": {
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| 44 |
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"alias": " - kornat_harmless",
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| 45 |
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"acc_norm,none": 0.6220666666666852,
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| 46 |
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"acc_norm_stderr,none": 0.0021090745568175077
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},
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| 48 |
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"kornat_helpful": {
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| 49 |
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"alias": " - kornat_helpful",
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| 50 |
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"acc_norm,none": 0.4165,
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| 51 |
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"acc_norm_stderr,none": 0.006975901848743398
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},
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"kornat_social": {
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"alias": " - kornat_social",
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"A-SVA,none": 0.402202109093958,
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| 56 |
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"A-SVA_stderr,none": 0.003909456548713938
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}
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| 58 |
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},
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| 59 |
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"versions": {
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| 60 |
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"all": 2,
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| 61 |
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"ko_eqbench": 2,
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| 62 |
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"ko_gpqa_diamond_zeroshot": 2,
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| 63 |
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"ko_gsm8k": 2,
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| 64 |
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"ko_ifeval": 2,
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| 65 |
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"ko_winogrande": 2,
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| 66 |
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"kornat_common": 2,
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| 67 |
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"kornat_harmless": 2,
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| 68 |
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"kornat_helpful": 2,
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| 69 |
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"kornat_social": 2
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| 70 |
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},
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| 71 |
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"config_general": {
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| 72 |
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"model_name": "Nara-Lab/nallm-polyglot-ko-3.8b-base",
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| 73 |
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"model_sha": "8d20c1e3d77f2a9a58046b58fb229c809476d350",
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| 74 |
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"model_dtype": "torch.float16",
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| 75 |
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"lighteval_sha": "",
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| 76 |
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"num_few_shot_default": 0,
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| 77 |
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"num_fewshot_seeds": 1,
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| 78 |
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"override_batch_size": 1,
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| 79 |
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"max_samples": null
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| 80 |
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}
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| 81 |
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}
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