{
    "config_general": {
        "lighteval_sha": "1.4",
        "num_few_shot_default": null,
        "num_fewshot_seeds": null,
        "override_batch_size": null,
        "max_samples": null,
        "job_id": -1,
        "start_time": null,
        "end_time": "2024-04-29-09-35-26",
        "total_evaluation_time_secondes": "",
        "model_name": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
        "model_sha": "",
        "model_dtype": "4bit",
        "model_size": 4.13,
        "model_params": 7.2,
        "quant_type": "bitsandbytes",
        "precision": "4bit"
    },
    "results": {
        "harness|truthfulqa:mc1|0": {
            "acc,none": 0.4810281517747858,
            "acc_stderr,none": 0.01749089640576235,
            "alias": "truthfulqa_mc1"
        },
        "harness|piqa|0": {
            "acc,none": 0.7992383025027203,
            "acc_stderr,none": 0.00934596167482341,
            "acc_norm,none": 0.8014145810663765,
            "acc_norm_stderr,none": 0.009307814521717889,
            "alias": "piqa"
        },
        "harness|winogrande|0": {
            "acc,none": 0.7205998421468035,
            "acc_stderr,none": 0.012610826539404681,
            "alias": "winogrande"
        },
        "harness|openbookqa|0": {
            "acc,none": 0.34,
            "acc_stderr,none": 0.021206117013673066,
            "acc_norm,none": 0.456,
            "acc_norm_stderr,none": 0.022296238348407063,
            "alias": "openbookqa"
        },
        "harness|hellaswag|0": {
            "acc,none": 0.655646285600478,
            "acc_stderr,none": 0.004741859753178436,
            "acc_norm,none": 0.8330013941445927,
            "acc_norm_stderr,none": 0.003722123709610337,
            "alias": "hellaswag"
        },
        "harness|truthfulqa:mc2|0": {
            "acc,none": 0.6500702943191489,
            "acc_stderr,none": 0.015376744726315254,
            "alias": "truthfulqa_mc2"
        },
        "harness|arc:challenge|0": {
            "acc,none": 0.5443686006825939,
            "acc_stderr,none": 0.014553749939306863,
            "acc_norm,none": 0.5546075085324232,
            "acc_norm_stderr,none": 0.014523987638344078,
            "alias": "arc_challenge"
        },
        "harness|lambada:openai|0": {
            "perplexity,none": 3.4361763813899864,
            "perplexity_stderr,none": 0.07436778363389848,
            "acc,none": 0.7135649136425384,
            "acc_stderr,none": 0.006298569473987371,
            "alias": "lambada_openai"
        },
        "harness|boolq|0": {
            "acc,none": 0.8513761467889909,
            "acc_stderr,none": 0.0062215348353496834,
            "alias": "boolq"
        },
        "harness|mmlu|0": {
            "acc,none": 0.5832502492522432,
            "acc_stderr,none": 0.003959408393105344,
            "alias": "mmlu"
        },
        "harness|mmlu_humanities|0": {
            "alias": " - humanities",
            "acc,none": 0.5424017003188097,
            "acc_stderr,none": 0.0068715499250283345
        },
        "harness|mmlu_formal_logic|0": {
            "alias": "  - formal_logic",
            "acc,none": 0.3412698412698413,
            "acc_stderr,none": 0.04240799327574924
        },
        "harness|mmlu_high_school_european_history|0": {
            "alias": "  - high_school_european_history",
            "acc,none": 0.7333333333333333,
            "acc_stderr,none": 0.03453131801885417
        },
        "harness|mmlu_high_school_us_history|0": {
            "alias": "  - high_school_us_history",
            "acc,none": 0.7549019607843137,
            "acc_stderr,none": 0.030190282453501933
        },
        "harness|mmlu_high_school_world_history|0": {
            "alias": "  - high_school_world_history",
            "acc,none": 0.759493670886076,
            "acc_stderr,none": 0.02782078198114968
        },
        "harness|mmlu_international_law|0": {
            "alias": "  - international_law",
            "acc,none": 0.7272727272727273,
            "acc_stderr,none": 0.04065578140908705
        },
        "harness|mmlu_jurisprudence|0": {
            "alias": "  - jurisprudence",
            "acc,none": 0.7222222222222222,
            "acc_stderr,none": 0.043300437496507416
        },
        "harness|mmlu_logical_fallacies|0": {
            "alias": "  - logical_fallacies",
            "acc,none": 0.7668711656441718,
            "acc_stderr,none": 0.0332201579577674
        },
        "harness|mmlu_moral_disputes|0": {
            "alias": "  - moral_disputes",
            "acc,none": 0.6734104046242775,
            "acc_stderr,none": 0.025248264774242826
        },
        "harness|mmlu_moral_scenarios|0": {
            "alias": "  - moral_scenarios",
            "acc,none": 0.36201117318435755,
            "acc_stderr,none": 0.016073067350153084
        },
        "harness|mmlu_philosophy|0": {
            "alias": "  - philosophy",
            "acc,none": 0.6463022508038585,
            "acc_stderr,none": 0.02715520810320087
        },
        "harness|mmlu_prehistory|0": {
            "alias": "  - prehistory",
            "acc,none": 0.6882716049382716,
            "acc_stderr,none": 0.02577311116963045
        },
        "harness|mmlu_professional_law|0": {
            "alias": "  - professional_law",
            "acc,none": 0.4217731421121252,
            "acc_stderr,none": 0.01261297436939098
        },
        "harness|mmlu_world_religions|0": {
            "alias": "  - world_religions",
            "acc,none": 0.7894736842105263,
            "acc_stderr,none": 0.031267817146631786
        },
        "harness|mmlu_other|0": {
            "alias": " - other",
            "acc,none": 0.6504666881235919,
            "acc_stderr,none": 0.00822417958072344
        },
        "harness|mmlu_business_ethics|0": {
            "alias": "  - business_ethics",
            "acc,none": 0.56,
            "acc_stderr,none": 0.04988876515698589
        },
        "harness|mmlu_clinical_knowledge|0": {
            "alias": "  - clinical_knowledge",
            "acc,none": 0.6566037735849056,
            "acc_stderr,none": 0.02922452646912479
        },
        "harness|mmlu_college_medicine|0": {
            "alias": "  - college_medicine",
            "acc,none": 0.5606936416184971,
            "acc_stderr,none": 0.03784271932887467
        },
        "harness|mmlu_global_facts|0": {
            "alias": "  - global_facts",
            "acc,none": 0.37,
            "acc_stderr,none": 0.048523658709391
        },
        "harness|mmlu_human_aging|0": {
            "alias": "  - human_aging",
            "acc,none": 0.600896860986547,
            "acc_stderr,none": 0.032867453125679603
        },
        "harness|mmlu_management|0": {
            "alias": "  - management",
            "acc,none": 0.7281553398058253,
            "acc_stderr,none": 0.044052680241409216
        },
        "harness|mmlu_marketing|0": {
            "alias": "  - marketing",
            "acc,none": 0.8675213675213675,
            "acc_stderr,none": 0.02220930907316562
        },
        "harness|mmlu_medical_genetics|0": {
            "alias": "  - medical_genetics",
            "acc,none": 0.62,
            "acc_stderr,none": 0.04878317312145632
        },
        "harness|mmlu_miscellaneous|0": {
            "alias": "  - miscellaneous",
            "acc,none": 0.7867177522349936,
            "acc_stderr,none": 0.014648172749593513
        },
        "harness|mmlu_nutrition|0": {
            "alias": "  - nutrition",
            "acc,none": 0.6437908496732027,
            "acc_stderr,none": 0.02742047766262925
        },
        "harness|mmlu_professional_accounting|0": {
            "alias": "  - professional_accounting",
            "acc,none": 0.4219858156028369,
            "acc_stderr,none": 0.029462189233370597
        },
        "harness|mmlu_professional_medicine|0": {
            "alias": "  - professional_medicine",
            "acc,none": 0.625,
            "acc_stderr,none": 0.029408372932278746
        },
        "harness|mmlu_virology|0": {
            "alias": "  - virology",
            "acc,none": 0.4879518072289157,
            "acc_stderr,none": 0.038913644958358196
        },
        "harness|mmlu_social_sciences|0": {
            "alias": " - social_sciences",
            "acc,none": 0.6701332466688332,
            "acc_stderr,none": 0.008254713883721222
        },
        "harness|mmlu_econometrics|0": {
            "alias": "  - econometrics",
            "acc,none": 0.41228070175438597,
            "acc_stderr,none": 0.04630653203366596
        },
        "harness|mmlu_high_school_geography|0": {
            "alias": "  - high_school_geography",
            "acc,none": 0.7222222222222222,
            "acc_stderr,none": 0.03191178226713547
        },
        "harness|mmlu_high_school_government_and_politics|0": {
            "alias": "  - high_school_government_and_politics",
            "acc,none": 0.8186528497409327,
            "acc_stderr,none": 0.027807032360686088
        },
        "harness|mmlu_high_school_macroeconomics|0": {
            "alias": "  - high_school_macroeconomics",
            "acc,none": 0.5384615384615384,
            "acc_stderr,none": 0.025275892070240634
        },
        "harness|mmlu_high_school_microeconomics|0": {
            "alias": "  - high_school_microeconomics",
            "acc,none": 0.6176470588235294,
            "acc_stderr,none": 0.03156663099215416
        },
        "harness|mmlu_high_school_psychology|0": {
            "alias": "  - high_school_psychology",
            "acc,none": 0.7761467889908257,
            "acc_stderr,none": 0.017871217767790215
        },
        "harness|mmlu_human_sexuality|0": {
            "alias": "  - human_sexuality",
            "acc,none": 0.6946564885496184,
            "acc_stderr,none": 0.04039314978724562
        },
        "harness|mmlu_professional_psychology|0": {
            "alias": "  - professional_psychology",
            "acc,none": 0.5882352941176471,
            "acc_stderr,none": 0.019910377463105935
        },
        "harness|mmlu_public_relations|0": {
            "alias": "  - public_relations",
            "acc,none": 0.6181818181818182,
            "acc_stderr,none": 0.046534298079135075
        },
        "harness|mmlu_security_studies|0": {
            "alias": "  - security_studies",
            "acc,none": 0.6816326530612244,
            "acc_stderr,none": 0.029822533793982076
        },
        "harness|mmlu_sociology|0": {
            "alias": "  - sociology",
            "acc,none": 0.8208955223880597,
            "acc_stderr,none": 0.027113286753111837
        },
        "harness|mmlu_us_foreign_policy|0": {
            "alias": "  - us_foreign_policy",
            "acc,none": 0.83,
            "acc_stderr,none": 0.0377525168068637
        },
        "harness|mmlu_stem|0": {
            "alias": " - stem",
            "acc,none": 0.4931810973675864,
            "acc_stderr,none": 0.008672919042542734
        },
        "harness|mmlu_abstract_algebra|0": {
            "alias": "  - abstract_algebra",
            "acc,none": 0.27,
            "acc_stderr,none": 0.044619604333847415
        },
        "harness|mmlu_anatomy|0": {
            "alias": "  - anatomy",
            "acc,none": 0.6,
            "acc_stderr,none": 0.04232073695151589
        },
        "harness|mmlu_astronomy|0": {
            "alias": "  - astronomy",
            "acc,none": 0.6447368421052632,
            "acc_stderr,none": 0.038947344870133176
        },
        "harness|mmlu_college_biology|0": {
            "alias": "  - college_biology",
            "acc,none": 0.6458333333333334,
            "acc_stderr,none": 0.039994111357535424
        },
        "harness|mmlu_college_chemistry|0": {
            "alias": "  - college_chemistry",
            "acc,none": 0.38,
            "acc_stderr,none": 0.04878317312145633
        },
        "harness|mmlu_college_computer_science|0": {
            "alias": "  - college_computer_science",
            "acc,none": 0.51,
            "acc_stderr,none": 0.05024183937956912
        },
        "harness|mmlu_college_mathematics|0": {
            "alias": "  - college_mathematics",
            "acc,none": 0.37,
            "acc_stderr,none": 0.048523658709391
        },
        "harness|mmlu_college_physics|0": {
            "alias": "  - college_physics",
            "acc,none": 0.4019607843137255,
            "acc_stderr,none": 0.04878608714466996
        },
        "harness|mmlu_computer_security|0": {
            "alias": "  - computer_security",
            "acc,none": 0.68,
            "acc_stderr,none": 0.046882617226215034
        },
        "harness|mmlu_conceptual_physics|0": {
            "alias": "  - conceptual_physics",
            "acc,none": 0.48936170212765956,
            "acc_stderr,none": 0.03267862331014063
        },
        "harness|mmlu_electrical_engineering|0": {
            "alias": "  - electrical_engineering",
            "acc,none": 0.5517241379310345,
            "acc_stderr,none": 0.04144311810878152
        },
        "harness|mmlu_elementary_mathematics|0": {
            "alias": "  - elementary_mathematics",
            "acc,none": 0.42857142857142855,
            "acc_stderr,none": 0.025487187147859372
        },
        "harness|mmlu_high_school_biology|0": {
            "alias": "  - high_school_biology",
            "acc,none": 0.6645161290322581,
            "acc_stderr,none": 0.026860206444724352
        },
        "harness|mmlu_high_school_chemistry|0": {
            "alias": "  - high_school_chemistry",
            "acc,none": 0.46798029556650245,
            "acc_stderr,none": 0.03510766597959214
        },
        "harness|mmlu_high_school_computer_science|0": {
            "alias": "  - high_school_computer_science",
            "acc,none": 0.65,
            "acc_stderr,none": 0.047937248544110196
        },
        "harness|mmlu_high_school_mathematics|0": {
            "alias": "  - high_school_mathematics",
            "acc,none": 0.337037037037037,
            "acc_stderr,none": 0.02882088466625326
        },
        "harness|mmlu_high_school_physics|0": {
            "alias": "  - high_school_physics",
            "acc,none": 0.33774834437086093,
            "acc_stderr,none": 0.038615575462551684
        },
        "harness|mmlu_high_school_statistics|0": {
            "alias": "  - high_school_statistics",
            "acc,none": 0.4583333333333333,
            "acc_stderr,none": 0.033981108902946366
        },
        "harness|mmlu_machine_learning|0": {
            "alias": "  - machine_learning",
            "acc,none": 0.5089285714285714,
            "acc_stderr,none": 0.04745033255489123
        },
        "harness|arc:easy|0": {
            "acc,none": 0.8198653198653199,
            "acc_stderr,none": 0.007885661261794777,
            "acc_norm,none": 0.7718855218855218,
            "acc_norm_stderr,none": 0.008610355160815555,
            "alias": "arc_easy"
        }
    },
    "task_info": {
        "model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
        "revision": "main",
        "private": false,
        "params": 15.448,
        "architectures": "MistralForCausalLM",
        "quant_type": "bitsandbytes",
        "precision": "4bit",
        "model_params": 30.896,
        "model_size": 15.448,
        "weight_dtype": "int4",
        "compute_dtype": "float16",
        "gguf_ftype": "*Q4_0.gguf",
        "hardware": "gpu",
        "status": "Pending",
        "submitted_time": "2024-04-28T09:01:12Z",
        "model_type": "quantization",
        "job_id": -1,
        "job_start_time": null,
        "scripts": "ITREX"
    },
    "quantization_config": {
        "bnb_4bit_compute_dtype": "bfloat16",
        "bnb_4bit_quant_type": "nf4",
        "bnb_4bit_use_double_quant": true,
        "llm_int8_enable_fp32_cpu_offload": false,
        "llm_int8_has_fp16_weight": false,
        "llm_int8_skip_modules": null,
        "llm_int8_threshold": 6.0,
        "load_in_4bit": true,
        "load_in_8bit": false,
        "quant_method": "bitsandbytes"
    },
    "versions": {
        "harness|truthfulqa:mc1|0": 2.0,
        "harness|piqa|0": 1.0,
        "harness|winogrande|0": 1.0,
        "harness|openbookqa|0": 1.0,
        "harness|hellaswag|0": 1.0,
        "harness|truthfulqa:mc2|0": 2.0,
        "harness|arc:challenge|0": 1.0,
        "harness|lambada:openai|0": 1.0,
        "harness|boolq|0": 2.0,
        "harness|mmlu|0": null,
        "harness|mmlu_humanities|0": null,
        "harness|mmlu_formal_logic|0": 0.0,
        "harness|mmlu_high_school_european_history|0": 0.0,
        "harness|mmlu_high_school_us_history|0": 0.0,
        "harness|mmlu_high_school_world_history|0": 0.0,
        "harness|mmlu_international_law|0": 0.0,
        "harness|mmlu_jurisprudence|0": 0.0,
        "harness|mmlu_logical_fallacies|0": 0.0,
        "harness|mmlu_moral_disputes|0": 0.0,
        "harness|mmlu_moral_scenarios|0": 0.0,
        "harness|mmlu_philosophy|0": 0.0,
        "harness|mmlu_prehistory|0": 0.0,
        "harness|mmlu_professional_law|0": 0.0,
        "harness|mmlu_world_religions|0": 0.0,
        "harness|mmlu_other|0": null,
        "harness|mmlu_business_ethics|0": 0.0,
        "harness|mmlu_clinical_knowledge|0": 0.0,
        "harness|mmlu_college_medicine|0": 0.0,
        "harness|mmlu_global_facts|0": 0.0,
        "harness|mmlu_human_aging|0": 0.0,
        "harness|mmlu_management|0": 0.0,
        "harness|mmlu_marketing|0": 0.0,
        "harness|mmlu_medical_genetics|0": 0.0,
        "harness|mmlu_miscellaneous|0": 0.0,
        "harness|mmlu_nutrition|0": 0.0,
        "harness|mmlu_professional_accounting|0": 0.0,
        "harness|mmlu_professional_medicine|0": 0.0,
        "harness|mmlu_virology|0": 0.0,
        "harness|mmlu_social_sciences|0": null,
        "harness|mmlu_econometrics|0": 0.0,
        "harness|mmlu_high_school_geography|0": 0.0,
        "harness|mmlu_high_school_government_and_politics|0": 0.0,
        "harness|mmlu_high_school_macroeconomics|0": 0.0,
        "harness|mmlu_high_school_microeconomics|0": 0.0,
        "harness|mmlu_high_school_psychology|0": 0.0,
        "harness|mmlu_human_sexuality|0": 0.0,
        "harness|mmlu_professional_psychology|0": 0.0,
        "harness|mmlu_public_relations|0": 0.0,
        "harness|mmlu_security_studies|0": 0.0,
        "harness|mmlu_sociology|0": 0.0,
        "harness|mmlu_us_foreign_policy|0": 0.0,
        "harness|mmlu_stem|0": null,
        "harness|mmlu_abstract_algebra|0": 0.0,
        "harness|mmlu_anatomy|0": 0.0,
        "harness|mmlu_astronomy|0": 0.0,
        "harness|mmlu_college_biology|0": 0.0,
        "harness|mmlu_college_chemistry|0": 0.0,
        "harness|mmlu_college_computer_science|0": 0.0,
        "harness|mmlu_college_mathematics|0": 0.0,
        "harness|mmlu_college_physics|0": 0.0,
        "harness|mmlu_computer_security|0": 0.0,
        "harness|mmlu_conceptual_physics|0": 0.0,
        "harness|mmlu_electrical_engineering|0": 0.0,
        "harness|mmlu_elementary_mathematics|0": 0.0,
        "harness|mmlu_high_school_biology|0": 0.0,
        "harness|mmlu_high_school_chemistry|0": 0.0,
        "harness|mmlu_high_school_computer_science|0": 0.0,
        "harness|mmlu_high_school_mathematics|0": 0.0,
        "harness|mmlu_high_school_physics|0": 0.0,
        "harness|mmlu_high_school_statistics|0": 0.0,
        "harness|mmlu_machine_learning|0": 0.0,
        "harness|arc:easy|0": 1.0
    },
    "n-shot": {
        "arc_challenge": 0,
        "arc_easy": 0,
        "boolq": 0,
        "hellaswag": 0,
        "lambada_openai": 0,
        "mmlu": 0,
        "mmlu_abstract_algebra": 0,
        "mmlu_anatomy": 0,
        "mmlu_astronomy": 0,
        "mmlu_business_ethics": 0,
        "mmlu_clinical_knowledge": 0,
        "mmlu_college_biology": 0,
        "mmlu_college_chemistry": 0,
        "mmlu_college_computer_science": 0,
        "mmlu_college_mathematics": 0,
        "mmlu_college_medicine": 0,
        "mmlu_college_physics": 0,
        "mmlu_computer_security": 0,
        "mmlu_conceptual_physics": 0,
        "mmlu_econometrics": 0,
        "mmlu_electrical_engineering": 0,
        "mmlu_elementary_mathematics": 0,
        "mmlu_formal_logic": 0,
        "mmlu_global_facts": 0,
        "mmlu_high_school_biology": 0,
        "mmlu_high_school_chemistry": 0,
        "mmlu_high_school_computer_science": 0,
        "mmlu_high_school_european_history": 0,
        "mmlu_high_school_geography": 0,
        "mmlu_high_school_government_and_politics": 0,
        "mmlu_high_school_macroeconomics": 0,
        "mmlu_high_school_mathematics": 0,
        "mmlu_high_school_microeconomics": 0,
        "mmlu_high_school_physics": 0,
        "mmlu_high_school_psychology": 0,
        "mmlu_high_school_statistics": 0,
        "mmlu_high_school_us_history": 0,
        "mmlu_high_school_world_history": 0,
        "mmlu_human_aging": 0,
        "mmlu_human_sexuality": 0,
        "mmlu_humanities": 0,
        "mmlu_international_law": 0,
        "mmlu_jurisprudence": 0,
        "mmlu_logical_fallacies": 0,
        "mmlu_machine_learning": 0,
        "mmlu_management": 0,
        "mmlu_marketing": 0,
        "mmlu_medical_genetics": 0,
        "mmlu_miscellaneous": 0,
        "mmlu_moral_disputes": 0,
        "mmlu_moral_scenarios": 0,
        "mmlu_nutrition": 0,
        "mmlu_other": 0,
        "mmlu_philosophy": 0,
        "mmlu_prehistory": 0,
        "mmlu_professional_accounting": 0,
        "mmlu_professional_law": 0,
        "mmlu_professional_medicine": 0,
        "mmlu_professional_psychology": 0,
        "mmlu_public_relations": 0,
        "mmlu_security_studies": 0,
        "mmlu_social_sciences": 0,
        "mmlu_sociology": 0,
        "mmlu_stem": 0,
        "mmlu_us_foreign_policy": 0,
        "mmlu_virology": 0,
        "mmlu_world_religions": 0,
        "openbookqa": 0,
        "piqa": 0,
        "truthfulqa_mc1": 0,
        "truthfulqa_mc2": 0,
        "winogrande": 0
    },
    "date": 1714329970.6590977,
    "config": {
        "model": "hf",
        "model_args": "pretrained=unsloth/mistral-7b-instruct-v0.2-bnb-4bit,dtype=float16,_commit_hash=main",
        "batch_size": 2,
        "batch_sizes": [],
        "device": "cuda",
        "use_cache": null,
        "limit": null,
        "bootstrap_iters": 100000,
        "gen_kwargs": null
    }
}