add Qwen2.

Intel/results_2024-06-06-00-18-35.json

@@ -0,0 +1,598 @@
+{
+    "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": "2024-06-06-00-18-35",
+        "total_evaluation_time_secondes": "",
+        "model_name": "Intel/Qwen2-7B-int4-inc",
+        "model_sha": "",
+        "model_dtype": "4bit",
+        "model_size": 5.2,
+        "model_params": 7,
+        "quant_type": "AutoRound",
+        "precision": "4bit"
+    },
+    "results": {
+        "harness|truthfulqa:mc2|0": {
+            "acc,none": 0.5428341738734119,
+            "acc_stderr,none": 0.014866609073167824,
+            "alias": "truthfulqa_mc2"
+        },
+        "harness|arc:easy|0": {
+            "acc,none": 0.7638888888888888,
+            "acc_stderr,none": 0.008714480491711292,
+            "acc_norm,none": 0.7117003367003367,
+            "acc_norm_stderr,none": 0.00929477425202962,
+            "alias": "arc_easy"
+        },
+        "harness|lambada:openai|0": {
+            "perplexity,none": 3.5641183746208984,
+            "perplexity_stderr,none": 0.07387640175498134,
+            "acc,none": 0.7252086163399961,
+            "acc_stderr,none": 0.006219351548299035,
+            "alias": "lambada_openai"
+        },
+        "harness|arc:challenge|0": {
+            "acc,none": 0.4616040955631399,
+            "acc_stderr,none": 0.01456824555029636,
+            "acc_norm,none": 0.4761092150170648,
+            "acc_norm_stderr,none": 0.014594701798071654,
+            "alias": "arc_challenge"
+        },
+        "harness|boolq|0": {
+            "acc,none": 0.8159021406727829,
+            "acc_stderr,none": 0.006778536599685005,
+            "alias": "boolq"
+        },
+        "harness|truthfulqa:mc1|0": {
+            "acc,none": 0.36107711138310894,
+            "acc_stderr,none": 0.016814312844836886,
+            "alias": "truthfulqa_mc1"
+        },
+        "harness|openbookqa|0": {
+            "acc,none": 0.34,
+            "acc_stderr,none": 0.021206117013673066,
+            "acc_norm,none": 0.426,
+            "acc_norm_stderr,none": 0.022136577335085637,
+            "alias": "openbookqa"
+        },
+        "harness|winogrande|0": {
+            "acc,none": 0.7261247040252565,
+            "acc_stderr,none": 0.012533292732620296,
+            "alias": "winogrande"
+        },
+        "harness|hellaswag|0": {
+            "acc,none": 0.5762796255725952,
+            "acc_stderr,none": 0.004931372657129809,
+            "acc_norm,none": 0.7721569408484366,
+            "acc_norm_stderr,none": 0.0041858359906645996,
+            "alias": "hellaswag"
+        },
+        "harness|piqa|0": {
+            "acc,none": 0.7916213275299239,
+            "acc_stderr,none": 0.009476125383049452,
+            "acc_norm,none": 0.8025027203482046,
+            "acc_norm_stderr,none": 0.009288578108523267,
+            "alias": "piqa"
+        },
+        "harness|mmlu|0": {
+            "acc,none": 0.6652186298248113,
+            "acc_stderr,none": 0.003715571902177435,
+            "alias": "mmlu"
+        },
+        "harness|mmlu_humanities|0": {
+            "alias": " - humanities",
+            "acc,none": 0.5846971307120085,
+            "acc_stderr,none": 0.006515055624404063
+        },
+        "harness|mmlu_formal_logic|0": {
+            "alias": "  - formal_logic",
+            "acc,none": 0.5555555555555556,
+            "acc_stderr,none": 0.04444444444444449
+        },
+        "harness|mmlu_high_school_european_history|0": {
+            "alias": "  - high_school_european_history",
+            "acc,none": 0.7757575757575758,
+            "acc_stderr,none": 0.03256866661681102
+        },
+        "harness|mmlu_high_school_us_history|0": {
+            "alias": "  - high_school_us_history",
+            "acc,none": 0.8431372549019608,
+            "acc_stderr,none": 0.025524722324553318
+        },
+        "harness|mmlu_high_school_world_history|0": {
+            "alias": "  - high_school_world_history",
+            "acc,none": 0.810126582278481,
+            "acc_stderr,none": 0.025530100460233494
+        },
+        "harness|mmlu_international_law|0": {
+            "alias": "  - international_law",
+            "acc,none": 0.8347107438016529,
+            "acc_stderr,none": 0.03390780612972776
+        },
+        "harness|mmlu_jurisprudence|0": {
+            "alias": "  - jurisprudence",
+            "acc,none": 0.7962962962962963,
+            "acc_stderr,none": 0.03893542518824849
+        },
+        "harness|mmlu_logical_fallacies|0": {
+            "alias": "  - logical_fallacies",
+            "acc,none": 0.7975460122699386,
+            "acc_stderr,none": 0.03157065078911899
+        },
+        "harness|mmlu_moral_disputes|0": {
+            "alias": "  - moral_disputes",
+            "acc,none": 0.7658959537572254,
+            "acc_stderr,none": 0.02279711027807113
+        },
+        "harness|mmlu_moral_scenarios|0": {
+            "alias": "  - moral_scenarios",
+            "acc,none": 0.2424581005586592,
+            "acc_stderr,none": 0.014333522059217887
+        },
+        "harness|mmlu_philosophy|0": {
+            "alias": "  - philosophy",
+            "acc,none": 0.7395498392282959,
+            "acc_stderr,none": 0.02492672322484555
+        },
+        "harness|mmlu_prehistory|0": {
+            "alias": "  - prehistory",
+            "acc,none": 0.7623456790123457,
+            "acc_stderr,none": 0.023683591837008557
+        },
+        "harness|mmlu_professional_law|0": {
+            "alias": "  - professional_law",
+            "acc,none": 0.5032594524119948,
+            "acc_stderr,none": 0.012769964760343314
+        },
+        "harness|mmlu_world_religions|0": {
+            "alias": "  - world_religions",
+            "acc,none": 0.8245614035087719,
+            "acc_stderr,none": 0.02917088550072766
+        },
+        "harness|mmlu_other|0": {
+            "alias": " - other",
+            "acc,none": 0.7347924042484711,
+            "acc_stderr,none": 0.007602922006730982
+        },
+        "harness|mmlu_business_ethics|0": {
+            "alias": "  - business_ethics",
+            "acc,none": 0.75,
+            "acc_stderr,none": 0.04351941398892446
+        },
+        "harness|mmlu_clinical_knowledge|0": {
+            "alias": "  - clinical_knowledge",
+            "acc,none": 0.7584905660377359,
+            "acc_stderr,none": 0.026341480371118352
+        },
+        "harness|mmlu_college_medicine|0": {
+            "alias": "  - college_medicine",
+            "acc,none": 0.6936416184971098,
+            "acc_stderr,none": 0.03514942551267438
+        },
+        "harness|mmlu_global_facts|0": {
+            "alias": "  - global_facts",
+            "acc,none": 0.37,
+            "acc_stderr,none": 0.04852365870939099
+        },
+        "harness|mmlu_human_aging|0": {
+            "alias": "  - human_aging",
+            "acc,none": 0.7219730941704036,
+            "acc_stderr,none": 0.030069584874494033
+        },
+        "harness|mmlu_management|0": {
+            "alias": "  - management",
+            "acc,none": 0.8543689320388349,
+            "acc_stderr,none": 0.0349260647662379
+        },
+        "harness|mmlu_marketing|0": {
+            "alias": "  - marketing",
+            "acc,none": 0.9273504273504274,
+            "acc_stderr,none": 0.017004368568132356
+        },
+        "harness|mmlu_medical_genetics|0": {
+            "alias": "  - medical_genetics",
+            "acc,none": 0.78,
+            "acc_stderr,none": 0.04163331998932263
+        },
+        "harness|mmlu_miscellaneous|0": {
+            "alias": "  - miscellaneous",
+            "acc,none": 0.8250319284802043,
+            "acc_stderr,none": 0.013586619219903341
+        },
+        "harness|mmlu_nutrition|0": {
+            "alias": "  - nutrition",
+            "acc,none": 0.7581699346405228,
+            "acc_stderr,none": 0.024518195641879334
+        },
+        "harness|mmlu_professional_accounting|0": {
+            "alias": "  - professional_accounting",
+            "acc,none": 0.5460992907801419,
+            "acc_stderr,none": 0.02970045324729148
+        },
+        "harness|mmlu_professional_medicine|0": {
+            "alias": "  - professional_medicine",
+            "acc,none": 0.6985294117647058,
+            "acc_stderr,none": 0.027875982114273168
+        },
+        "harness|mmlu_virology|0": {
+            "alias": "  - virology",
+            "acc,none": 0.5060240963855421,
+            "acc_stderr,none": 0.03892212195333045
+        },
+        "harness|mmlu_social_sciences|0": {
+            "alias": " - social_sciences",
+            "acc,none": 0.7747806304842378,
+            "acc_stderr,none": 0.007405038078278177
+        },
+        "harness|mmlu_econometrics|0": {
+            "alias": "  - econometrics",
+            "acc,none": 0.5263157894736842,
+            "acc_stderr,none": 0.046970851366478626
+        },
+        "harness|mmlu_high_school_geography|0": {
+            "alias": "  - high_school_geography",
+            "acc,none": 0.8636363636363636,
+            "acc_stderr,none": 0.024450155973189835
+        },
+        "harness|mmlu_high_school_government_and_politics|0": {
+            "alias": "  - high_school_government_and_politics",
+            "acc,none": 0.8860103626943006,
+            "acc_stderr,none": 0.022935144053919426
+        },
+        "harness|mmlu_high_school_macroeconomics|0": {
+            "alias": "  - high_school_macroeconomics",
+            "acc,none": 0.7230769230769231,
+            "acc_stderr,none": 0.022688042352424994
+        },
+        "harness|mmlu_high_school_microeconomics|0": {
+            "alias": "  - high_school_microeconomics",
+            "acc,none": 0.7857142857142857,
+            "acc_stderr,none": 0.026653531596715473
+        },
+        "harness|mmlu_high_school_psychology|0": {
+            "alias": "  - high_school_psychology",
+            "acc,none": 0.8532110091743119,
+            "acc_stderr,none": 0.01517314184512626
+        },
+        "harness|mmlu_human_sexuality|0": {
+            "alias": "  - human_sexuality",
+            "acc,none": 0.7862595419847328,
+            "acc_stderr,none": 0.0359546161177469
+        },
+        "harness|mmlu_professional_psychology|0": {
+            "alias": "  - professional_psychology",
+            "acc,none": 0.704248366013072,
+            "acc_stderr,none": 0.01846315413263282
+        },
+        "harness|mmlu_public_relations|0": {
+            "alias": "  - public_relations",
+            "acc,none": 0.7,
+            "acc_stderr,none": 0.04389311454644287
+        },
+        "harness|mmlu_security_studies|0": {
+            "alias": "  - security_studies",
+            "acc,none": 0.7755102040816326,
+            "acc_stderr,none": 0.02671143055553841
+        },
+        "harness|mmlu_sociology|0": {
+            "alias": "  - sociology",
+            "acc,none": 0.8109452736318408,
+            "acc_stderr,none": 0.027686913588013024
+        },
+        "harness|mmlu_us_foreign_policy|0": {
+            "alias": "  - us_foreign_policy",
+            "acc,none": 0.84,
+            "acc_stderr,none": 0.03684529491774708
+        },
+        "harness|mmlu_stem|0": {
+            "alias": " - stem",
+            "acc,none": 0.609895337773549,
+            "acc_stderr,none": 0.008423044034949694
+        },
+        "harness|mmlu_abstract_algebra|0": {
+            "alias": "  - abstract_algebra",
+            "acc,none": 0.39,
+            "acc_stderr,none": 0.04902071300001975
+        },
+        "harness|mmlu_anatomy|0": {
+            "alias": "  - anatomy",
+            "acc,none": 0.6,
+            "acc_stderr,none": 0.04232073695151589
+        },
+        "harness|mmlu_astronomy|0": {
+            "alias": "  - astronomy",
+            "acc,none": 0.7302631578947368,
+            "acc_stderr,none": 0.03611780560284898
+        },
+        "harness|mmlu_college_biology|0": {
+            "alias": "  - college_biology",
+            "acc,none": 0.7569444444444444,
+            "acc_stderr,none": 0.035868792800803406
+        },
+        "harness|mmlu_college_chemistry|0": {
+            "alias": "  - college_chemistry",
+            "acc,none": 0.47,
+            "acc_stderr,none": 0.05016135580465919
+        },
+        "harness|mmlu_college_computer_science|0": {
+            "alias": "  - college_computer_science",
+            "acc,none": 0.58,
+            "acc_stderr,none": 0.04960449637488583
+        },
+        "harness|mmlu_college_mathematics|0": {
+            "alias": "  - college_mathematics",
+            "acc,none": 0.37,
+            "acc_stderr,none": 0.04852365870939099
+        },
+        "harness|mmlu_college_physics|0": {
+            "alias": "  - college_physics",
+            "acc,none": 0.4411764705882353,
+            "acc_stderr,none": 0.049406356306056595
+        },
+        "harness|mmlu_computer_security|0": {
+            "alias": "  - computer_security",
+            "acc,none": 0.69,
+            "acc_stderr,none": 0.04648231987117316
+        },
+        "harness|mmlu_conceptual_physics|0": {
+            "alias": "  - conceptual_physics",
+            "acc,none": 0.6382978723404256,
+            "acc_stderr,none": 0.0314108219759624
+        },
+        "harness|mmlu_electrical_engineering|0": {
+            "alias": "  - electrical_engineering",
+            "acc,none": 0.6482758620689655,
+            "acc_stderr,none": 0.0397923663749741
+        },
+        "harness|mmlu_elementary_mathematics|0": {
+            "alias": "  - elementary_mathematics",
+            "acc,none": 0.5978835978835979,
+            "acc_stderr,none": 0.025253032554997692
+        },
+        "harness|mmlu_high_school_biology|0": {
+            "alias": "  - high_school_biology",
+            "acc,none": 0.8387096774193549,
+            "acc_stderr,none": 0.020923327006423294
+        },
+        "harness|mmlu_high_school_chemistry|0": {
+            "alias": "  - high_school_chemistry",
+            "acc,none": 0.5665024630541872,
+            "acc_stderr,none": 0.034867317274198714
+        },
+        "harness|mmlu_high_school_computer_science|0": {
+            "alias": "  - high_school_computer_science",
+            "acc,none": 0.79,
+            "acc_stderr,none": 0.040936018074033256
+        },
+        "harness|mmlu_high_school_mathematics|0": {
+            "alias": "  - high_school_mathematics",
+            "acc,none": 0.5,
+            "acc_stderr,none": 0.030485538042484616
+        },
+        "harness|mmlu_high_school_physics|0": {
+            "alias": "  - high_school_physics",
+            "acc,none": 0.45695364238410596,
+            "acc_stderr,none": 0.04067325174247443
+        },
+        "harness|mmlu_high_school_statistics|0": {
+            "alias": "  - high_school_statistics",
+            "acc,none": 0.6342592592592593,
+            "acc_stderr,none": 0.032847388576472056
+        },
+        "harness|mmlu_machine_learning|0": {
+            "alias": "  - machine_learning",
+            "acc,none": 0.5535714285714286,
+            "acc_stderr,none": 0.04718471485219587
+        }
+    },
+    "task_info": {
+        "model": "Intel/Qwen2-7B-int4-inc",
+        "local": true,
+        "revision": "main",
+        "private": false,
+        "params": 7,
+        "architectures": "QwenForCausalLM",
+        "quant_type": "AutoRound",
+        "precision": "4bit",
+        "model_params": 7,
+        "model_size": 5.2,
+        "weight_dtype": "int4",
+        "compute_dtype": "float16",
+        "gguf_ftype": "*Q4_0.gguf",
+        "hardware": "gpu",
+        "status": "Finished",
+        "submitted_time": "2024-04-23T15:44:22Z",
+        "model_type": "quantization",
+        "job_id": -1,
+        "job_start_time": null,
+        "scripts": "ITREX"
+    },
+    "quantization_config": {
+        "amp": true,
+        "autoround_version": "0.2.1.dev",
+        "backend": "autoround:exllamav2",
+        "bits": 4,
+        "data_type": "int",
+        "dataset": "NeelNanda/pile-10k",
+        "enable_minmax_tuning": true,
+        "enable_quanted_input": true,
+        "gradient_accumulate_steps": 1,
+        "group_size": 128,
+        "iters": 1000,
+        "low_gpu_mem_usage": false,
+        "lr": 0.001,
+        "minmax_lr": 0.001,
+        "n_samples": 512,
+        "quant_method": "intel/auto-round",
+        "scale_dtype": "torch.float16",
+        "seqlen": 2048,
+        "sym": false,
+        "train_bs": 8
+    },
+    "versions": {
+        "harness|truthfulqa:mc2|0": 2.0,
+        "harness|arc:easy|0": 1.0,
+        "harness|lambada:openai|0": 1.0,
+        "harness|arc:challenge|0": 1.0,
+        "harness|boolq|0": 2.0,
+        "harness|truthfulqa:mc1|0": 2.0,
+        "harness|openbookqa|0": 1.0,
+        "harness|winogrande|0": 1.0,
+        "harness|hellaswag|0": 1.0,
+        "harness|piqa|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
+    },
+    "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": 1717599011.729154,
+    "config": {
+        "model": "hf",
+        "model_args": "pretrained=Intel/Qwen2-7B-int4-inc,trust_remote_code=True,dtype=float16,_commit_hash=main",
+        "batch_size": 2,
+        "batch_sizes": [],
+        "device": "cuda",
+        "use_cache": null,
+        "limit": null,
+        "bootstrap_iters": 100000,
+        "gen_kwargs": null
+    }
+}

Intel/results_2024-06-06-09-32-36.json

@@ -0,0 +1,596 @@
+{
+    "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": "2024-06-06-09-32-36",
+        "total_evaluation_time_secondes": "",
+        "model_name": "Intel/Qwen2-1.5B-Instuct-int4-inc",
+        "model_sha": "",
+        "model_dtype": "4bit",
+        "model_size": 1.6,
+        "model_params": 1.5,
+        "quant_type": "AutoRound",
+        "precision": "4bit"
+    },
+    "results": {
+        "harness|lambada:openai|0": {
+            "perplexity,none": 5.285488721585025,
+            "perplexity_stderr,none": 0.1356474096089869,
+            "acc,none": 0.6411798952066757,
+            "acc_stderr,none": 0.006682522124089319,
+            "alias": "lambada_openai"
+        },
+        "harness|openbookqa|0": {
+            "acc,none": 0.272,
+            "acc_stderr,none": 0.01992048320956607,
+            "acc_norm,none": 0.36,
+            "acc_norm_stderr,none": 0.02148775108972052,
+            "alias": "openbookqa"
+        },
+        "harness|mmlu|0": {
+            "acc,none": 0.5502777382139297,
+            "acc_stderr,none": 0.004026718834956645,
+            "alias": "mmlu"
+        },
+        "harness|mmlu_humanities|0": {
+            "alias": " - humanities",
+            "acc,none": 0.5030818278427205,
+            "acc_stderr,none": 0.006947472831518005
+        },
+        "harness|mmlu_formal_logic|0": {
+            "alias": "  - formal_logic",
+            "acc,none": 0.3888888888888889,
+            "acc_stderr,none": 0.04360314860077459
+        },
+        "harness|mmlu_high_school_european_history|0": {
+            "alias": "  - high_school_european_history",
+            "acc,none": 0.6848484848484848,
+            "acc_stderr,none": 0.0362773057502241
+        },
+        "harness|mmlu_high_school_us_history|0": {
+            "alias": "  - high_school_us_history",
+            "acc,none": 0.6715686274509803,
+            "acc_stderr,none": 0.032962451101722294
+        },
+        "harness|mmlu_high_school_world_history|0": {
+            "alias": "  - high_school_world_history",
+            "acc,none": 0.7341772151898734,
+            "acc_stderr,none": 0.02875679962965834
+        },
+        "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": 0.6481481481481481,
+            "acc_stderr,none": 0.046166311118017146
+        },
+        "harness|mmlu_logical_fallacies|0": {
+            "alias": "  - logical_fallacies",
+            "acc,none": 0.6993865030674846,
+            "acc_stderr,none": 0.03602511318806771
+        },
+        "harness|mmlu_moral_disputes|0": {
+            "alias": "  - moral_disputes",
+            "acc,none": 0.6242774566473989,
+            "acc_stderr,none": 0.026074314851657083
+        },
+        "harness|mmlu_moral_scenarios|0": {
+            "alias": "  - moral_scenarios",
+            "acc,none": 0.2837988826815642,
+            "acc_stderr,none": 0.01507835897075178
+        },
+        "harness|mmlu_philosophy|0": {
+            "alias": "  - philosophy",
+            "acc,none": 0.6334405144694534,
+            "acc_stderr,none": 0.027368078243971628
+        },
+        "harness|mmlu_prehistory|0": {
+            "alias": "  - prehistory",
+            "acc,none": 0.5555555555555556,
+            "acc_stderr,none": 0.02764847787741332
+        },
+        "harness|mmlu_professional_law|0": {
+            "alias": "  - professional_law",
+            "acc,none": 0.42633637548891784,
+            "acc_stderr,none": 0.012630884771599698
+        },
+        "harness|mmlu_world_religions|0": {
+            "alias": "  - world_religions",
+            "acc,none": 0.7076023391812866,
+            "acc_stderr,none": 0.034886477134579215
+        },
+        "harness|mmlu_other|0": {
+            "alias": " - other",
+            "acc,none": 0.6195687158030254,
+            "acc_stderr,none": 0.00842476546352716
+        },
+        "harness|mmlu_business_ethics|0": {
+            "alias": "  - business_ethics",
+            "acc,none": 0.65,
+            "acc_stderr,none": 0.047937248544110196
+        },
+        "harness|mmlu_clinical_knowledge|0": {
+            "alias": "  - clinical_knowledge",
+            "acc,none": 0.6075471698113207,
+            "acc_stderr,none": 0.03005258057955784
+        },
+        "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": 0.23,
+            "acc_stderr,none": 0.04229525846816506
+        },
+        "harness|mmlu_human_aging|0": {
+            "alias": "  - human_aging",
+            "acc,none": 0.6143497757847534,
+            "acc_stderr,none": 0.03266842214289202
+        },
+        "harness|mmlu_management|0": {
+            "alias": "  - management",
+            "acc,none": 0.7864077669902912,
+            "acc_stderr,none": 0.040580420156460344
+        },
+        "harness|mmlu_marketing|0": {
+            "alias": "  - marketing",
+            "acc,none": 0.811965811965812,
+            "acc_stderr,none": 0.025598193686652244
+        },
+        "harness|mmlu_medical_genetics|0": {
+            "alias": "  - medical_genetics",
+            "acc,none": 0.62,
+            "acc_stderr,none": 0.048783173121456316
+        },
+        "harness|mmlu_miscellaneous|0": {
+            "alias": "  - miscellaneous",
+            "acc,none": 0.7075351213282248,
+            "acc_stderr,none": 0.016267000684598642
+        },
+        "harness|mmlu_nutrition|0": {
+            "alias": "  - nutrition",
+            "acc,none": 0.6830065359477124,
+            "acc_stderr,none": 0.026643278474508755
+        },
+        "harness|mmlu_professional_accounting|0": {
+            "alias": "  - professional_accounting",
+            "acc,none": 0.44680851063829785,
+            "acc_stderr,none": 0.02965823509766691
+        },
+        "harness|mmlu_professional_medicine|0": {
+            "alias": "  - professional_medicine",
+            "acc,none": 0.5367647058823529,
+            "acc_stderr,none": 0.030290619180485697
+        },
+        "harness|mmlu_virology|0": {
+            "alias": "  - virology",
+            "acc,none": 0.4457831325301205,
+            "acc_stderr,none": 0.03869543323472101
+        },
+        "harness|mmlu_social_sciences|0": {
+            "alias": " - social_sciences",
+            "acc,none": 0.6379590510237244,
+            "acc_stderr,none": 0.008481043207876597
+        },
+        "harness|mmlu_econometrics|0": {
+            "alias": "  - econometrics",
+            "acc,none": 0.3508771929824561,
+            "acc_stderr,none": 0.04489539350270701
+        },
+        "harness|mmlu_high_school_geography|0": {
+            "alias": "  - high_school_geography",
+            "acc,none": 0.7121212121212122,
+            "acc_stderr,none": 0.03225883512300992
+        },
+        "harness|mmlu_high_school_government_and_politics|0": {
+            "alias": "  - high_school_government_and_politics",
+            "acc,none": 0.7512953367875648,
+            "acc_stderr,none": 0.031195840877700293
+        },
+        "harness|mmlu_high_school_macroeconomics|0": {
+            "alias": "  - high_school_macroeconomics",
+            "acc,none": 0.5743589743589743,
+            "acc_stderr,none": 0.025069094387296535
+        },
+        "harness|mmlu_high_school_microeconomics|0": {
+            "alias": "  - high_school_microeconomics",
+            "acc,none": 0.5798319327731093,
+            "acc_stderr,none": 0.03206183783236152
+        },
+        "harness|mmlu_high_school_psychology|0": {
+            "alias": "  - high_school_psychology",
+            "acc,none": 0.7339449541284404,
+            "acc_stderr,none": 0.018946022322225593
+        },
+        "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": 0.5359477124183006,
+            "acc_stderr,none": 0.020175488765484043
+        },
+        "harness|mmlu_public_relations|0": {
+            "alias": "  - public_relations",
+            "acc,none": 0.5909090909090909,
+            "acc_stderr,none": 0.04709306978661896
+        },
+        "harness|mmlu_security_studies|0": {
+            "alias": "  - security_studies",
+            "acc,none": 0.6857142857142857,
+            "acc_stderr,none": 0.029719329422417468
+        },
+        "harness|mmlu_sociology|0": {
+            "alias": "  - sociology",
+            "acc,none": 0.7661691542288557,
+            "acc_stderr,none": 0.029929415408348387
+        },
+        "harness|mmlu_us_foreign_policy|0": {
+            "alias": "  - us_foreign_policy",
+            "acc,none": 0.76,
+            "acc_stderr,none": 0.04292346959909282
+        },
+        "harness|mmlu_stem|0": {
+            "alias": " - stem",
+            "acc,none": 0.4668569616238503,
+            "acc_stderr,none": 0.008757565781117154
+        },
+        "harness|mmlu_abstract_algebra|0": {
+            "alias": "  - abstract_algebra",
+            "acc,none": 0.35,
+            "acc_stderr,none": 0.0479372485441102
+        },
+        "harness|mmlu_anatomy|0": {
+            "alias": "  - anatomy",
+            "acc,none": 0.48148148148148145,
+            "acc_stderr,none": 0.043163785995113245
+        },
+        "harness|mmlu_astronomy|0": {
+            "alias": "  - astronomy",
+            "acc,none": 0.5789473684210527,
+            "acc_stderr,none": 0.040179012759817494
+        },
+        "harness|mmlu_college_biology|0": {
+            "alias": "  - college_biology",
+            "acc,none": 0.4930555555555556,
+            "acc_stderr,none": 0.04180806750294938
+        },
+        "harness|mmlu_college_chemistry|0": {
+            "alias": "  - college_chemistry",
+            "acc,none": 0.42,
+            "acc_stderr,none": 0.049604496374885836
+        },
+        "harness|mmlu_college_computer_science|0": {
+            "alias": "  - college_computer_science",
+            "acc,none": 0.48,
+            "acc_stderr,none": 0.050211673156867795
+        },
+        "harness|mmlu_college_mathematics|0": {
+            "alias": "  - college_mathematics",
+            "acc,none": 0.31,
+            "acc_stderr,none": 0.04648231987117316
+        },
+        "harness|mmlu_college_physics|0": {
+            "alias": "  - college_physics",
+            "acc,none": 0.3137254901960784,
+            "acc_stderr,none": 0.04617034827006718
+        },
+        "harness|mmlu_computer_security|0": {
+            "alias": "  - computer_security",
+            "acc,none": 0.65,
+            "acc_stderr,none": 0.0479372485441102
+        },
+        "harness|mmlu_conceptual_physics|0": {
+            "alias": "  - conceptual_physics",
+            "acc,none": 0.4553191489361702,
+            "acc_stderr,none": 0.03255525359340355
+        },
+        "harness|mmlu_electrical_engineering|0": {
+            "alias": "  - electrical_engineering",
+            "acc,none": 0.5655172413793104,
+            "acc_stderr,none": 0.04130740879555498
+        },
+        "harness|mmlu_elementary_mathematics|0": {
+            "alias": "  - elementary_mathematics",
+            "acc,none": 0.4444444444444444,
+            "acc_stderr,none": 0.025591857761382182
+        },
+        "harness|mmlu_high_school_biology|0": {
+            "alias": "  - high_school_biology",
+            "acc,none": 0.6096774193548387,
+            "acc_stderr,none": 0.027751256636969576
+        },
+        "harness|mmlu_high_school_chemistry|0": {
+            "alias": "  - high_school_chemistry",
+            "acc,none": 0.5073891625615764,
+            "acc_stderr,none": 0.035176035403610105
+        },
+        "harness|mmlu_high_school_computer_science|0": {
+            "alias": "  - high_school_computer_science",
+            "acc,none": 0.57,
+            "acc_stderr,none": 0.049756985195624284
+        },
+        "harness|mmlu_high_school_mathematics|0": {
+            "alias": "  - high_school_mathematics",
+            "acc,none": 0.37777777777777777,
+            "acc_stderr,none": 0.029560707392465718
+        },
+        "harness|mmlu_high_school_physics|0": {
+            "alias": "  - high_school_physics",
+            "acc,none": 0.33112582781456956,
+            "acc_stderr,none": 0.038425817186598696
+        },
+        "harness|mmlu_high_school_statistics|0": {
+            "alias": "  - high_school_statistics",
+            "acc,none": 0.4212962962962963,
+            "acc_stderr,none": 0.03367462138896078
+        },
+        "harness|mmlu_machine_learning|0": {
+            "alias": "  - machine_learning",
+            "acc,none": 0.4107142857142857,
+            "acc_stderr,none": 0.04669510663875191
+        },
+        "harness|arc:challenge|0": {
+            "acc,none": 0.36945392491467577,
+            "acc_stderr,none": 0.01410457836649189,
+            "acc_norm,none": 0.39761092150170646,
+            "acc_norm_stderr,none": 0.014301752223279535,
+            "alias": "arc_challenge"
+        },
+        "harness|winogrande|0": {
+            "acc,none": 0.6606156274664562,
+            "acc_stderr,none": 0.01330771492894175,
+            "alias": "winogrande"
+        },
+        "harness|boolq|0": {
+            "acc,none": 0.7629969418960245,
+            "acc_stderr,none": 0.007437567381277126,
+            "alias": "boolq"
+        },
+        "harness|arc:easy|0": {
+            "acc,none": 0.6957070707070707,
+            "acc_stderr,none": 0.009441202922359185,
+            "acc_norm,none": 0.6620370370370371,
+            "acc_norm_stderr,none": 0.00970608053863286,
+            "alias": "arc_easy"
+        },
+        "harness|hellaswag|0": {
+            "acc,none": 0.4856602270464051,
+            "acc_stderr,none": 0.004987728900897589,
+            "acc_norm,none": 0.6493726349332802,
+            "acc_norm_stderr,none": 0.004761912511707522,
+            "alias": "hellaswag"
+        },
+        "harness|truthfulqa:mc1|0": {
+            "acc,none": 0.27539779681762544,
+            "acc_stderr,none": 0.01563813566777552,
+            "alias": "truthfulqa_mc1"
+        },
+        "harness|truthfulqa:mc2|0": {
+            "acc,none": 0.4316038703653941,
+            "acc_stderr,none": 0.014556182158523336,
+            "alias": "truthfulqa_mc2"
+        },
+        "harness|piqa|0": {
+            "acc,none": 0.7562568008705114,
+            "acc_stderr,none": 0.010017199471500612,
+            "acc_norm,none": 0.7535364526659413,
+            "acc_norm_stderr,none": 0.01005481078967182,
+            "alias": "piqa"
+        }
+    },
+    "task_info": {
+        "model": "Intel/Qwen2-1.5B-Instuct-int4-inc",
+        "local": true,
+        "revision": "main",
+        "private": false,
+        "params": 1.5,
+        "architectures": "QwenForCausalLM",
+        "quant_type": "AutoRound",
+        "precision": "4bit",
+        "model_params": 1.5,
+        "model_size": 1.6,
+        "weight_dtype": "int4",
+        "compute_dtype": "float16",
+        "gguf_ftype": "*Q4_0.gguf",
+        "hardware": "gpu",
+        "status": "Finished",
+        "submitted_time": "2024-04-23T15:44:22Z",
+        "model_type": "quantization",
+        "job_id": -1,
+        "job_start_time": null,
+        "scripts": "ITREX"
+    },
+    "quantization_config": {
+        "autoround_version": "0.2.1.dev",
+        "bits": 4,
+        "damp_percent": 0.01,
+        "desc_act": false,
+        "enable_minmax_tuning": true,
+        "enable_quanted_input": true,
+        "group_size": 32,
+        "is_marlin_format": false,
+        "iters": 1000,
+        "lr": 0.001,
+        "minmax_lr": 0.001,
+        "model_file_base_name": "model",
+        "model_name_or_path": null,
+        "quant_method": "gptq",
+        "scale_dtype": "float16",
+        "static_groups": false,
+        "sym": true,
+        "true_sequential": false
+    },
+    "versions": {
+        "harness|lambada:openai|0": 1.0,
+        "harness|openbookqa|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|arc:challenge|0": 1.0,
+        "harness|winogrande|0": 1.0,
+        "harness|boolq|0": 2.0,
+        "harness|arc:easy|0": 1.0,
+        "harness|hellaswag|0": 1.0,
+        "harness|truthfulqa:mc1|0": 2.0,
+        "harness|truthfulqa:mc2|0": 2.0,
+        "harness|piqa|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": 1717635926.568774,
+    "config": {
+        "model": "hf",
+        "model_args": "pretrained=Intel/Qwen2-1.5B-Instuct-int4-inc,trust_remote_code=True,dtype=float16,_commit_hash=main",
+        "batch_size": 4,
+        "batch_sizes": [],
+        "device": "cuda",
+        "use_cache": null,
+        "limit": null,
+        "bootstrap_iters": 100000,
+        "gen_kwargs": null
+    }
+}

Intel/results_2024-06-06-10-10-10.json

@@ -0,0 +1,596 @@
+{
+    "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": "2024-06-06-10-10-10",
+        "total_evaluation_time_secondes": "",
+        "model_name": "Intel/Qwen2-0.5B-Instuct-int4-inc",
+        "model_sha": "",
+        "model_dtype": "4bit",
+        "model_size": 0.719,
+        "model_params": 0.5,
+        "quant_type": "AutoRound",
+        "precision": "4bit"
+    },
+    "results": {
+        "harness|hellaswag|0": {
+            "acc,none": 0.3846843258315077,
+            "acc_stderr,none": 0.004855262903270792,
+            "acc_norm,none": 0.4843656642103167,
+            "acc_norm_stderr,none": 0.00498734148585666,
+            "alias": "hellaswag"
+        },
+        "harness|arc:easy|0": {
+            "acc,none": 0.5862794612794613,
+            "acc_stderr,none": 0.01010587853023814,
+            "acc_norm,none": 0.5395622895622896,
+            "acc_norm_stderr,none": 0.010227616386289008,
+            "alias": "arc_easy"
+        },
+        "harness|truthfulqa:mc1|0": {
+            "acc,none": 0.24724602203182375,
+            "acc_stderr,none": 0.01510240479735965,
+            "alias": "truthfulqa_mc1"
+        },
+        "harness|mmlu|0": {
+            "acc,none": 0.4223045150263495,
+            "acc_stderr,none": 0.004088092420326436,
+            "alias": "mmlu"
+        },
+        "harness|mmlu_humanities|0": {
+            "alias": " - humanities",
+            "acc,none": 0.3980871413390011,
+            "acc_stderr,none": 0.006959278348932478
+        },
+        "harness|mmlu_formal_logic|0": {
+            "alias": "  - formal_logic",
+            "acc,none": 0.2619047619047619,
+            "acc_stderr,none": 0.039325376803928704
+        },
+        "harness|mmlu_high_school_european_history|0": {
+            "alias": "  - high_school_european_history",
+            "acc,none": 0.5393939393939394,
+            "acc_stderr,none": 0.03892207016552013
+        },
+        "harness|mmlu_high_school_us_history|0": {
+            "alias": "  - high_school_us_history",
+            "acc,none": 0.5392156862745098,
+            "acc_stderr,none": 0.03498501649369527
+        },
+        "harness|mmlu_high_school_world_history|0": {
+            "alias": "  - high_school_world_history",
+            "acc,none": 0.5611814345991561,
+            "acc_stderr,none": 0.032302649315470375
+        },
+        "harness|mmlu_international_law|0": {
+            "alias": "  - international_law",
+            "acc,none": 0.6528925619834711,
+            "acc_stderr,none": 0.04345724570292534
+        },
+        "harness|mmlu_jurisprudence|0": {
+            "alias": "  - jurisprudence",
+            "acc,none": 0.5370370370370371,
+            "acc_stderr,none": 0.04820403072760628
+        },
+        "harness|mmlu_logical_fallacies|0": {
+            "alias": "  - logical_fallacies",
+            "acc,none": 0.44785276073619634,
+            "acc_stderr,none": 0.03906947479456601
+        },
+        "harness|mmlu_moral_disputes|0": {
+            "alias": "  - moral_disputes",
+            "acc,none": 0.5028901734104047,
+            "acc_stderr,none": 0.026918645383239004
+        },
+        "harness|mmlu_moral_scenarios|0": {
+            "alias": "  - moral_scenarios",
+            "acc,none": 0.2424581005586592,
+            "acc_stderr,none": 0.014333522059217887
+        },
+        "harness|mmlu_philosophy|0": {
+            "alias": "  - philosophy",
+            "acc,none": 0.4694533762057878,
+            "acc_stderr,none": 0.028345045864840684
+        },
+        "harness|mmlu_prehistory|0": {
+            "alias": "  - prehistory",
+            "acc,none": 0.42592592592592593,
+            "acc_stderr,none": 0.027513747284379428
+        },
+        "harness|mmlu_professional_law|0": {
+            "alias": "  - professional_law",
+            "acc,none": 0.3520208604954368,
+            "acc_stderr,none": 0.012198140605353609
+        },
+        "harness|mmlu_world_religions|0": {
+            "alias": "  - world_religions",
+            "acc,none": 0.4853801169590643,
+            "acc_stderr,none": 0.038331852752130205
+        },
+        "harness|mmlu_other|0": {
+            "alias": " - other",
+            "acc,none": 0.467653685226907,
+            "acc_stderr,none": 0.008853315632851513
+        },
+        "harness|mmlu_business_ethics|0": {
+            "alias": "  - business_ethics",
+            "acc,none": 0.54,
+            "acc_stderr,none": 0.05009082659620333
+        },
+        "harness|mmlu_clinical_knowledge|0": {
+            "alias": "  - clinical_knowledge",
+            "acc,none": 0.4716981132075472,
+            "acc_stderr,none": 0.030723535249006107
+        },
+        "harness|mmlu_college_medicine|0": {
+            "alias": "  - college_medicine",
+            "acc,none": 0.43352601156069365,
+            "acc_stderr,none": 0.03778621079092056
+        },
+        "harness|mmlu_global_facts|0": {
+            "alias": "  - global_facts",
+            "acc,none": 0.36,
+            "acc_stderr,none": 0.04824181513244218
+        },
+        "harness|mmlu_human_aging|0": {
+            "alias": "  - human_aging",
+            "acc,none": 0.4125560538116592,
+            "acc_stderr,none": 0.03304062175449296
+        },
+        "harness|mmlu_management|0": {
+            "alias": "  - management",
+            "acc,none": 0.5825242718446602,
+            "acc_stderr,none": 0.048828405482122375
+        },
+        "harness|mmlu_marketing|0": {
+            "alias": "  - marketing",
+            "acc,none": 0.6367521367521367,
+            "acc_stderr,none": 0.03150712523091264
+        },
+        "harness|mmlu_medical_genetics|0": {
+            "alias": "  - medical_genetics",
+            "acc,none": 0.44,
+            "acc_stderr,none": 0.04988876515698589
+        },
+        "harness|mmlu_miscellaneous|0": {
+            "alias": "  - miscellaneous",
+            "acc,none": 0.5019157088122606,
+            "acc_stderr,none": 0.017879832259026673
+        },
+        "harness|mmlu_nutrition|0": {
+            "alias": "  - nutrition",
+            "acc,none": 0.5261437908496732,
+            "acc_stderr,none": 0.028590752958852394
+        },
+        "harness|mmlu_professional_accounting|0": {
+            "alias": "  - professional_accounting",
+            "acc,none": 0.3723404255319149,
+            "acc_stderr,none": 0.02883892147125146
+        },
+        "harness|mmlu_professional_medicine|0": {
+            "alias": "  - professional_medicine",
+            "acc,none": 0.3639705882352941,
+            "acc_stderr,none": 0.02922719246003203
+        },
+        "harness|mmlu_virology|0": {
+            "alias": "  - virology",
+            "acc,none": 0.3614457831325301,
+            "acc_stderr,none": 0.037400593820293204
+        },
+        "harness|mmlu_social_sciences|0": {
+            "alias": " - social_sciences",
+            "acc,none": 0.48033799155021123,
+            "acc_stderr,none": 0.008913902203243567
+        },
+        "harness|mmlu_econometrics|0": {
+            "alias": "  - econometrics",
+            "acc,none": 0.34210526315789475,
+            "acc_stderr,none": 0.04462917535336936
+        },
+        "harness|mmlu_high_school_geography|0": {
+            "alias": "  - high_school_geography",
+            "acc,none": 0.5,
+            "acc_stderr,none": 0.035623524993954825
+        },
+        "harness|mmlu_high_school_government_and_politics|0": {
+            "alias": "  - high_school_government_and_politics",
+            "acc,none": 0.5440414507772021,
+            "acc_stderr,none": 0.03594413711272435
+        },
+        "harness|mmlu_high_school_macroeconomics|0": {
+            "alias": "  - high_school_macroeconomics",
+            "acc,none": 0.43333333333333335,
+            "acc_stderr,none": 0.025124653525885124
+        },
+        "harness|mmlu_high_school_microeconomics|0": {
+            "alias": "  - high_school_microeconomics",
+            "acc,none": 0.42436974789915966,
+            "acc_stderr,none": 0.032104790510157764
+        },
+        "harness|mmlu_high_school_psychology|0": {
+            "alias": "  - high_school_psychology",
+            "acc,none": 0.5467889908256881,
+            "acc_stderr,none": 0.021343255165546034
+        },
+        "harness|mmlu_human_sexuality|0": {
+            "alias": "  - human_sexuality",
+            "acc,none": 0.4732824427480916,
+            "acc_stderr,none": 0.04379024936553894
+        },
+        "harness|mmlu_professional_psychology|0": {
+            "alias": "  - professional_psychology",
+            "acc,none": 0.39052287581699346,
+            "acc_stderr,none": 0.019737008998094604
+        },
+        "harness|mmlu_public_relations|0": {
+            "alias": "  - public_relations",
+            "acc,none": 0.5363636363636364,
+            "acc_stderr,none": 0.04776449162396197
+        },
+        "harness|mmlu_security_studies|0": {
+            "alias": "  - security_studies",
+            "acc,none": 0.49795918367346936,
+            "acc_stderr,none": 0.0320089533497105
+        },
+        "harness|mmlu_sociology|0": {
+            "alias": "  - sociology",
+            "acc,none": 0.5771144278606966,
+            "acc_stderr,none": 0.034932317774212816
+        },
+        "harness|mmlu_us_foreign_policy|0": {
+            "alias": "  - us_foreign_policy",
+            "acc,none": 0.69,
+            "acc_stderr,none": 0.04648231987117316
+        },
+        "harness|mmlu_stem|0": {
+            "alias": " - stem",
+            "acc,none": 0.35712020298128766,
+            "acc_stderr,none": 0.008476247679652571
+        },
+        "harness|mmlu_abstract_algebra|0": {
+            "alias": "  - abstract_algebra",
+            "acc,none": 0.29,
+            "acc_stderr,none": 0.04560480215720683
+        },
+        "harness|mmlu_anatomy|0": {
+            "alias": "  - anatomy",
+            "acc,none": 0.4222222222222222,
+            "acc_stderr,none": 0.04266763404099582
+        },
+        "harness|mmlu_astronomy|0": {
+            "alias": "  - astronomy",
+            "acc,none": 0.39473684210526316,
+            "acc_stderr,none": 0.039777499346220734
+        },
+        "harness|mmlu_college_biology|0": {
+            "alias": "  - college_biology",
+            "acc,none": 0.3819444444444444,
+            "acc_stderr,none": 0.040629907841466674
+        },
+        "harness|mmlu_college_chemistry|0": {
+            "alias": "  - college_chemistry",
+            "acc,none": 0.27,
+            "acc_stderr,none": 0.0446196043338474
+        },
+        "harness|mmlu_college_computer_science|0": {
+            "alias": "  - college_computer_science",
+            "acc,none": 0.32,
+            "acc_stderr,none": 0.046882617226215034
+        },
+        "harness|mmlu_college_mathematics|0": {
+            "alias": "  - college_mathematics",
+            "acc,none": 0.33,
+            "acc_stderr,none": 0.04725815626252604
+        },
+        "harness|mmlu_college_physics|0": {
+            "alias": "  - college_physics",
+            "acc,none": 0.29411764705882354,
+            "acc_stderr,none": 0.045338381959297736
+        },
+        "harness|mmlu_computer_security|0": {
+            "alias": "  - computer_security",
+            "acc,none": 0.41,
+            "acc_stderr,none": 0.049431107042371025
+        },
+        "harness|mmlu_conceptual_physics|0": {
+            "alias": "  - conceptual_physics",
+            "acc,none": 0.40425531914893614,
+            "acc_stderr,none": 0.03208115750788684
+        },
+        "harness|mmlu_electrical_engineering|0": {
+            "alias": "  - electrical_engineering",
+            "acc,none": 0.43448275862068964,
+            "acc_stderr,none": 0.04130740879555497
+        },
+        "harness|mmlu_elementary_mathematics|0": {
+            "alias": "  - elementary_mathematics",
+            "acc,none": 0.3253968253968254,
+            "acc_stderr,none": 0.024130158299762602
+        },
+        "harness|mmlu_high_school_biology|0": {
+            "alias": "  - high_school_biology",
+            "acc,none": 0.4612903225806452,
+            "acc_stderr,none": 0.028358634859836935
+        },
+        "harness|mmlu_high_school_chemistry|0": {
+            "alias": "  - high_school_chemistry",
+            "acc,none": 0.3645320197044335,
+            "acc_stderr,none": 0.0338640574606209
+        },
+        "harness|mmlu_high_school_computer_science|0": {
+            "alias": "  - high_school_computer_science",
+            "acc,none": 0.49,
+            "acc_stderr,none": 0.05024183937956911
+        },
+        "harness|mmlu_high_school_mathematics|0": {
+            "alias": "  - high_school_mathematics",
+            "acc,none": 0.2740740740740741,
+            "acc_stderr,none": 0.027195934804085626
+        },
+        "harness|mmlu_high_school_physics|0": {
+            "alias": "  - high_school_physics",
+            "acc,none": 0.2582781456953642,
+            "acc_stderr,none": 0.035737053147634576
+        },
+        "harness|mmlu_high_school_statistics|0": {
+            "alias": "  - high_school_statistics",
+            "acc,none": 0.3101851851851852,
+            "acc_stderr,none": 0.03154696285656629
+        },
+        "harness|mmlu_machine_learning|0": {
+            "alias": "  - machine_learning",
+            "acc,none": 0.3125,
+            "acc_stderr,none": 0.043994650575715215
+        },
+        "harness|piqa|0": {
+            "acc,none": 0.6855277475516867,
+            "acc_stderr,none": 0.010833009065106569,
+            "acc_norm,none": 0.6833514689880305,
+            "acc_norm_stderr,none": 0.010853160531978483,
+            "alias": "piqa"
+        },
+        "harness|boolq|0": {
+            "acc,none": 0.6281345565749236,
+            "acc_stderr,none": 0.00845301800735403,
+            "alias": "boolq"
+        },
+        "harness|openbookqa|0": {
+            "acc,none": 0.25,
+            "acc_stderr,none": 0.019384310743640384,
+            "acc_norm,none": 0.334,
+            "acc_norm_stderr,none": 0.021113492347743734,
+            "alias": "openbookqa"
+        },
+        "harness|arc:challenge|0": {
+            "acc,none": 0.2619453924914676,
+            "acc_stderr,none": 0.012849054826858108,
+            "acc_norm,none": 0.2883959044368601,
+            "acc_norm_stderr,none": 0.01323839442242817,
+            "alias": "arc_challenge"
+        },
+        "harness|truthfulqa:mc2|0": {
+            "acc,none": 0.39131629337724455,
+            "acc_stderr,none": 0.013943043500103466,
+            "alias": "truthfulqa_mc2"
+        },
+        "harness|winogrande|0": {
+            "acc,none": 0.5651144435674822,
+            "acc_stderr,none": 0.013932814110418027,
+            "alias": "winogrande"
+        },
+        "harness|lambada:openai|0": {
+            "perplexity,none": 12.554918626547046,
+            "perplexity_stderr,none": 0.4194570823476025,
+            "acc,none": 0.4867067727537357,
+            "acc_stderr,none": 0.006963515307693607,
+            "alias": "lambada_openai"
+        }
+    },
+    "task_info": {
+        "model": "Intel/Qwen2-0.5B-Instuct-int4-inc",
+        "local": true,
+        "revision": "main",
+        "private": false,
+        "params": 0.5,
+        "architectures": "QwenForCausalLM",
+        "quant_type": "AutoRound",
+        "precision": "4bit",
+        "model_params": 0.5,
+        "model_size": 0.719,
+        "weight_dtype": "int4",
+        "compute_dtype": "float16",
+        "gguf_ftype": "*Q4_0.gguf",
+        "hardware": "gpu",
+        "status": "Finished",
+        "submitted_time": "2024-04-23T15:44:22Z",
+        "model_type": "quantization",
+        "job_id": -1,
+        "job_start_time": null,
+        "scripts": "ITREX"
+    },
+    "quantization_config": {
+        "autoround_version": "0.2.1.dev",
+        "bits": 4,
+        "damp_percent": 0.01,
+        "desc_act": false,
+        "enable_minmax_tuning": true,
+        "enable_quanted_input": true,
+        "group_size": 32,
+        "is_marlin_format": false,
+        "iters": 1000,
+        "lr": 0.001,
+        "minmax_lr": 0.002,
+        "model_file_base_name": "model",
+        "model_name_or_path": null,
+        "quant_method": "gptq",
+        "scale_dtype": "float16",
+        "static_groups": false,
+        "sym": true,
+        "true_sequential": false
+    },
+    "versions": {
+        "harness|hellaswag|0": 1.0,
+        "harness|arc:easy|0": 1.0,
+        "harness|truthfulqa:mc1|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|piqa|0": 1.0,
+        "harness|boolq|0": 2.0,
+        "harness|openbookqa|0": 1.0,
+        "harness|arc:challenge|0": 1.0,
+        "harness|truthfulqa:mc2|0": 2.0,
+        "harness|winogrande|0": 1.0,
+        "harness|lambada:openai|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": 1717638292.2679868,
+    "config": {
+        "model": "hf",
+        "model_args": "pretrained=Intel/Qwen2-0.5B-Instuct-int4-inc,trust_remote_code=True,dtype=float16,_commit_hash=main",
+        "batch_size": 4,
+        "batch_sizes": [],
+        "device": "cuda",
+        "use_cache": null,
+        "limit": null,
+        "bootstrap_iters": 100000,
+        "gen_kwargs": null
+    }
+}