{
    "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": "2024-05-10-13-56-07",
        "total_evaluation_time_secondes": "",
        "model_name": "styalai/phi-2_quantize_gptq",
        "model_sha": "",
        "model_dtype": "4bit",
        "model_size": 1.84,
        "model_params": 2.7,
        "quant_type": "GPTQ",
        "precision": "4bit"
    },
    "results": {
        "harness|arc:easy|0": {
            "acc,none": 0.7975589225589226,
            "acc_stderr,none": 0.008245156475629189,
            "acc_norm,none": 0.7769360269360269,
            "acc_norm_stderr,none": 0.00854231416900937,
            "alias": "arc_easy"
        },
        "harness|truthfulqa:mc2|0": {
            "acc,none": 0.4361786144689832,
            "acc_stderr,none": 0.014817402443817856,
            "alias": "truthfulqa_mc2"
        },
        "harness|boolq|0": {
            "acc,none": 0.8067278287461773,
            "acc_stderr,none": 0.006906224976787107,
            "alias": "boolq"
        },
        "harness|piqa|0": {
            "acc,none": 0.7763873775843307,
            "acc_stderr,none": 0.009721489519176294,
            "acc_norm,none": 0.7850924918389554,
            "acc_norm_stderr,none": 0.009583665082653313,
            "alias": "piqa"
        },
        "harness|arc:challenge|0": {
            "acc,none": 0.515358361774744,
            "acc_stderr,none": 0.01460449612939491,
            "acc_norm,none": 0.5264505119453925,
            "acc_norm_stderr,none": 0.014590931358120169,
            "alias": "arc_challenge"
        },
        "harness|openbookqa|0": {
            "acc,none": 0.39,
            "acc_stderr,none": 0.02183468586936921,
            "acc_norm,none": 0.492,
            "acc_norm_stderr,none": 0.022380208834928028,
            "alias": "openbookqa"
        },
        "harness|winogrande|0": {
            "acc,none": 0.7545382794001578,
            "acc_stderr,none": 0.012095272937183642,
            "alias": "winogrande"
        },
        "harness|lambada:openai|0": {
            "perplexity,none": 6.732271716226398,
            "perplexity_stderr,none": 0.18372924037735205,
            "acc,none": 0.5982922569377062,
            "acc_stderr,none": 0.006830049724301386,
            "alias": "lambada_openai"
        },
        "harness|mmlu|0": {
            "acc,none": 0.5225751317476143,
            "acc_stderr,none": 0.004019126427264933,
            "alias": "mmlu"
        },
        "harness|mmlu_humanities|0": {
            "alias": " - humanities",
            "acc,none": 0.4684378320935175,
            "acc_stderr,none": 0.0068897753578505095
        },
        "harness|mmlu_formal_logic|0": {
            "alias": "  - formal_logic",
            "acc,none": 0.30952380952380953,
            "acc_stderr,none": 0.04134913018303316
        },
        "harness|mmlu_high_school_european_history|0": {
            "alias": "  - high_school_european_history",
            "acc,none": 0.6727272727272727,
            "acc_stderr,none": 0.03663974994391243
        },
        "harness|mmlu_high_school_us_history|0": {
            "alias": "  - high_school_us_history",
            "acc,none": 0.6078431372549019,
            "acc_stderr,none": 0.03426712349247272
        },
        "harness|mmlu_high_school_world_history|0": {
            "alias": "  - high_school_world_history",
            "acc,none": 0.7088607594936709,
            "acc_stderr,none": 0.02957160106575337
        },
        "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": 0.6666666666666666,
            "acc_stderr,none": 0.04557239513497751
        },
        "harness|mmlu_logical_fallacies|0": {
            "alias": "  - logical_fallacies",
            "acc,none": 0.6871165644171779,
            "acc_stderr,none": 0.03642914578292405
        },
        "harness|mmlu_moral_disputes|0": {
            "alias": "  - moral_disputes",
            "acc,none": 0.6069364161849711,
            "acc_stderr,none": 0.02629622791561367
        },
        "harness|mmlu_moral_scenarios|0": {
            "alias": "  - moral_scenarios",
            "acc,none": 0.23798882681564246,
            "acc_stderr,none": 0.014242630070574898
        },
        "harness|mmlu_philosophy|0": {
            "alias": "  - philosophy",
            "acc,none": 0.5530546623794212,
            "acc_stderr,none": 0.028237769422085335
        },
        "harness|mmlu_prehistory|0": {
            "alias": "  - prehistory",
            "acc,none": 0.5709876543209876,
            "acc_stderr,none": 0.027538925613470863
        },
        "harness|mmlu_professional_law|0": {
            "alias": "  - professional_law",
            "acc,none": 0.3891786179921773,
            "acc_stderr,none": 0.012452613934286991
        },
        "harness|mmlu_world_religions|0": {
            "alias": "  - world_religions",
            "acc,none": 0.6608187134502924,
            "acc_stderr,none": 0.03631053496488905
        },
        "harness|mmlu_other|0": {
            "alias": " - other",
            "acc,none": 0.5864177663340844,
            "acc_stderr,none": 0.008596531783217074
        },
        "harness|mmlu_business_ethics|0": {
            "alias": "  - business_ethics",
            "acc,none": 0.53,
            "acc_stderr,none": 0.050161355804659205
        },
        "harness|mmlu_clinical_knowledge|0": {
            "alias": "  - clinical_knowledge",
            "acc,none": 0.6226415094339622,
            "acc_stderr,none": 0.02983280811479601
        },
        "harness|mmlu_college_medicine|0": {
            "alias": "  - college_medicine",
            "acc,none": 0.48554913294797686,
            "acc_stderr,none": 0.03810871630454764
        },
        "harness|mmlu_global_facts|0": {
            "alias": "  - global_facts",
            "acc,none": 0.34,
            "acc_stderr,none": 0.04760952285695235
        },
        "harness|mmlu_human_aging|0": {
            "alias": "  - human_aging",
            "acc,none": 0.6278026905829597,
            "acc_stderr,none": 0.032443052830087304
        },
        "harness|mmlu_management|0": {
            "alias": "  - management",
            "acc,none": 0.7184466019417476,
            "acc_stderr,none": 0.04453254836326467
        },
        "harness|mmlu_marketing|0": {
            "alias": "  - marketing",
            "acc,none": 0.7777777777777778,
            "acc_stderr,none": 0.02723601394619669
        },
        "harness|mmlu_medical_genetics|0": {
            "alias": "  - medical_genetics",
            "acc,none": 0.56,
            "acc_stderr,none": 0.04988876515698589
        },
        "harness|mmlu_miscellaneous|0": {
            "alias": "  - miscellaneous",
            "acc,none": 0.6871008939974457,
            "acc_stderr,none": 0.016580935940304055
        },
        "harness|mmlu_nutrition|0": {
            "alias": "  - nutrition",
            "acc,none": 0.5849673202614379,
            "acc_stderr,none": 0.0282135041778241
        },
        "harness|mmlu_professional_accounting|0": {
            "alias": "  - professional_accounting",
            "acc,none": 0.4078014184397163,
            "acc_stderr,none": 0.029316011776343555
        },
        "harness|mmlu_professional_medicine|0": {
            "alias": "  - professional_medicine",
            "acc,none": 0.45588235294117646,
            "acc_stderr,none": 0.03025437257397669
        },
        "harness|mmlu_virology|0": {
            "alias": "  - virology",
            "acc,none": 0.46987951807228917,
            "acc_stderr,none": 0.03885425420866767
        },
        "harness|mmlu_social_sciences|0": {
            "alias": " - social_sciences",
            "acc,none": 0.6269093272668184,
            "acc_stderr,none": 0.00849603785258372
        },
        "harness|mmlu_econometrics|0": {
            "alias": "  - econometrics",
            "acc,none": 0.2631578947368421,
            "acc_stderr,none": 0.041424397194893624
        },
        "harness|mmlu_high_school_geography|0": {
            "alias": "  - high_school_geography",
            "acc,none": 0.6919191919191919,
            "acc_stderr,none": 0.03289477330098615
        },
        "harness|mmlu_high_school_government_and_politics|0": {
            "alias": "  - high_school_government_and_politics",
            "acc,none": 0.7409326424870466,
            "acc_stderr,none": 0.03161877917935411
        },
        "harness|mmlu_high_school_macroeconomics|0": {
            "alias": "  - high_school_macroeconomics",
            "acc,none": 0.5461538461538461,
            "acc_stderr,none": 0.025242770987126177
        },
        "harness|mmlu_high_school_microeconomics|0": {
            "alias": "  - high_school_microeconomics",
            "acc,none": 0.542016806722689,
            "acc_stderr,none": 0.03236361111951941
        },
        "harness|mmlu_high_school_psychology|0": {
            "alias": "  - high_school_psychology",
            "acc,none": 0.7431192660550459,
            "acc_stderr,none": 0.01873249292834248
        },
        "harness|mmlu_human_sexuality|0": {
            "alias": "  - human_sexuality",
            "acc,none": 0.6412213740458015,
            "acc_stderr,none": 0.04206739313864908
        },
        "harness|mmlu_professional_psychology|0": {
            "alias": "  - professional_psychology",
            "acc,none": 0.5473856209150327,
            "acc_stderr,none": 0.020136790918492523
        },
        "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": 0.6448979591836734,
            "acc_stderr,none": 0.03063565515038764
        },
        "harness|mmlu_sociology|0": {
            "alias": "  - sociology",
            "acc,none": 0.7611940298507462,
            "acc_stderr,none": 0.03014777593540922
        },
        "harness|mmlu_us_foreign_policy|0": {
            "alias": "  - us_foreign_policy",
            "acc,none": 0.74,
            "acc_stderr,none": 0.0440844002276808
        },
        "harness|mmlu_stem|0": {
            "alias": " - stem",
            "acc,none": 0.4386298763082778,
            "acc_stderr,none": 0.008612772747917762
        },
        "harness|mmlu_abstract_algebra|0": {
            "alias": "  - abstract_algebra",
            "acc,none": 0.22,
            "acc_stderr,none": 0.04163331998932269
        },
        "harness|mmlu_anatomy|0": {
            "alias": "  - anatomy",
            "acc,none": 0.45185185185185184,
            "acc_stderr,none": 0.04299268905480864
        },
        "harness|mmlu_astronomy|0": {
            "alias": "  - astronomy",
            "acc,none": 0.5131578947368421,
            "acc_stderr,none": 0.04067533136309172
        },
        "harness|mmlu_college_biology|0": {
            "alias": "  - college_biology",
            "acc,none": 0.5486111111111112,
            "acc_stderr,none": 0.04161402398403279
        },
        "harness|mmlu_college_chemistry|0": {
            "alias": "  - college_chemistry",
            "acc,none": 0.36,
            "acc_stderr,none": 0.04824181513244218
        },
        "harness|mmlu_college_computer_science|0": {
            "alias": "  - college_computer_science",
            "acc,none": 0.4,
            "acc_stderr,none": 0.049236596391733084
        },
        "harness|mmlu_college_mathematics|0": {
            "alias": "  - college_mathematics",
            "acc,none": 0.34,
            "acc_stderr,none": 0.04760952285695235
        },
        "harness|mmlu_college_physics|0": {
            "alias": "  - college_physics",
            "acc,none": 0.27450980392156865,
            "acc_stderr,none": 0.04440521906179325
        },
        "harness|mmlu_computer_security|0": {
            "alias": "  - computer_security",
            "acc,none": 0.62,
            "acc_stderr,none": 0.048783173121456316
        },
        "harness|mmlu_conceptual_physics|0": {
            "alias": "  - conceptual_physics",
            "acc,none": 0.46808510638297873,
            "acc_stderr,none": 0.03261936918467382
        },
        "harness|mmlu_electrical_engineering|0": {
            "alias": "  - electrical_engineering",
            "acc,none": 0.47586206896551725,
            "acc_stderr,none": 0.041618085035015295
        },
        "harness|mmlu_elementary_mathematics|0": {
            "alias": "  - elementary_mathematics",
            "acc,none": 0.37037037037037035,
            "acc_stderr,none": 0.024870815251057093
        },
        "harness|mmlu_high_school_biology|0": {
            "alias": "  - high_school_biology",
            "acc,none": 0.6387096774193548,
            "acc_stderr,none": 0.027327548447957543
        },
        "harness|mmlu_high_school_chemistry|0": {
            "alias": "  - high_school_chemistry",
            "acc,none": 0.46798029556650245,
            "acc_stderr,none": 0.035107665979592154
        },
        "harness|mmlu_high_school_computer_science|0": {
            "alias": "  - high_school_computer_science",
            "acc,none": 0.63,
            "acc_stderr,none": 0.04852365870939099
        },
        "harness|mmlu_high_school_mathematics|0": {
            "alias": "  - high_school_mathematics",
            "acc,none": 0.25925925925925924,
            "acc_stderr,none": 0.026719240783712163
        },
        "harness|mmlu_high_school_physics|0": {
            "alias": "  - high_school_physics",
            "acc,none": 0.3576158940397351,
            "acc_stderr,none": 0.03913453431177258
        },
        "harness|mmlu_high_school_statistics|0": {
            "alias": "  - high_school_statistics",
            "acc,none": 0.42592592592592593,
            "acc_stderr,none": 0.033723432716530624
        },
        "harness|mmlu_machine_learning|0": {
            "alias": "  - machine_learning",
            "acc,none": 0.4642857142857143,
            "acc_stderr,none": 0.04733667890053756
        },
        "harness|hellaswag|0": {
            "acc,none": 0.5454092810197172,
            "acc_stderr,none": 0.004969160917379662,
            "acc_norm,none": 0.7279426409081856,
            "acc_norm_stderr,none": 0.004441097782370478,
            "alias": "hellaswag"
        },
        "harness|truthfulqa:mc1|0": {
            "acc,none": 0.2962056303549572,
            "acc_stderr,none": 0.01598359510181139,
            "alias": "truthfulqa_mc1"
        }
    },
    "task_info": {
        "model": "styalai/phi-2_quantize_gptq",
        "revision": "main",
        "private": false,
        "params": 6.244,
        "architectures": "PhiForCausalLM",
        "quant_type": "bitsandbytes",
        "precision": "4bit",
        "model_params": 2.7,
        "model_size": 1.84,
        "weight_dtype": "int4",
        "compute_dtype": "float16",
        "gguf_ftype": "*Q4_0.gguf",
        "hardware": "gpu",
        "status": "Pending",
        "submitted_time": "2024-04-29T07:14:10Z",
        "model_type": "quantization",
        "job_id": -1,
        "job_start_time": null,
        "scripts": "ITREX"
    },
    "quantization_config": {
        "batch_size": 1,
        "bits": 4,
        "block_name_to_quantize": null,
        "cache_block_outputs": true,
        "damp_percent": 0.1,
        "dataset": "c4",
        "desc_act": false,
        "exllama_config": {
            "version": 1
        },
        "group_size": 128,
        "max_input_length": null,
        "model_seqlen": null,
        "module_name_preceding_first_block": null,
        "modules_in_block_to_quantize": null,
        "pad_token_id": null,
        "quant_method": "gptq",
        "sym": true,
        "tokenizer": null,
        "true_sequential": true,
        "use_cuda_fp16": false,
        "use_exllama": false
    },
    "versions": {
        "harness|arc:easy|0": 1.0,
        "harness|truthfulqa:mc2|0": 2.0,
        "harness|boolq|0": 2.0,
        "harness|piqa|0": 1.0,
        "harness|arc:challenge|0": 1.0,
        "harness|openbookqa|0": 1.0,
        "harness|winogrande|0": 1.0,
        "harness|lambada:openai|0": 1.0,
        "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|hellaswag|0": 1.0,
        "harness|truthfulqa:mc1|0": 2.0
    },
    "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": 1715316065.7549846,
    "config": {
        "model": "hf",
        "model_args": "pretrained=styalai/phi-2_quantize_gptq,trust_remote_code=False,dtype=float16,_commit_hash=main",
        "batch_size": 4,
        "batch_sizes": [],
        "device": "cuda",
        "use_cache": null,
        "limit": null,
        "bootstrap_iters": 100000,
        "gen_kwargs": null
    }
}