{
  "best_metric": 1.0057677030563354,
  "best_model_checkpoint": "./output_v2/7b_cluster07_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_07/checkpoint-1400",
  "epoch": 1.2718600953895072,
  "global_step": 2000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.01,
      "learning_rate": 0.0002,
      "loss": 1.0736,
      "step": 10
    },
    {
      "epoch": 0.01,
      "learning_rate": 0.0002,
      "loss": 1.1041,
      "step": 20
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0002,
      "loss": 1.0818,
      "step": 30
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.0002,
      "loss": 1.0408,
      "step": 40
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.0002,
      "loss": 1.0985,
      "step": 50
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0002,
      "loss": 1.0245,
      "step": 60
    },
    {
      "epoch": 0.04,
      "learning_rate": 0.0002,
      "loss": 1.0205,
      "step": 70
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0002,
      "loss": 1.0811,
      "step": 80
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0002,
      "loss": 1.0852,
      "step": 90
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0002,
      "loss": 1.0296,
      "step": 100
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0002,
      "loss": 1.0943,
      "step": 110
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0002,
      "loss": 0.9857,
      "step": 120
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0002,
      "loss": 1.0324,
      "step": 130
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0002,
      "loss": 1.0134,
      "step": 140
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0002,
      "loss": 1.0533,
      "step": 150
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0002,
      "loss": 1.0667,
      "step": 160
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.0002,
      "loss": 1.0506,
      "step": 170
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.0002,
      "loss": 1.0653,
      "step": 180
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0002,
      "loss": 1.0372,
      "step": 190
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0002,
      "loss": 1.0485,
      "step": 200
    },
    {
      "epoch": 0.13,
      "eval_loss": 1.0341941118240356,
      "eval_runtime": 172.5264,
      "eval_samples_per_second": 5.796,
      "eval_steps_per_second": 2.898,
      "step": 200
    },
    {
      "epoch": 0.13,
      "mmlu_eval_accuracy": 0.4648810025502313,
      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
      "mmlu_eval_accuracy_anatomy": 0.5,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.25,
      "mmlu_eval_accuracy_electrical_engineering": 0.5,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.7692307692307693,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.6363636363636364,
      "mmlu_eval_accuracy_marketing": 0.8,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954,
      "mmlu_eval_accuracy_moral_disputes": 0.5,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5757575757575758,
      "mmlu_eval_accuracy_philosophy": 0.5588235294117647,
      "mmlu_eval_accuracy_prehistory": 0.42857142857142855,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.3588235294117647,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.6363636363636364,
      "mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 1.115347789702621,
      "step": 200
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0002,
      "loss": 0.987,
      "step": 210
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0002,
      "loss": 1.0399,
      "step": 220
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0002,
      "loss": 1.044,
      "step": 230
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0002,
      "loss": 1.0491,
      "step": 240
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0002,
      "loss": 1.0216,
      "step": 250
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0002,
      "loss": 1.0973,
      "step": 260
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0002,
      "loss": 0.996,
      "step": 270
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0002,
      "loss": 1.0253,
      "step": 280
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0002,
      "loss": 1.0439,
      "step": 290
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0002,
      "loss": 1.0244,
      "step": 300
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0002,
      "loss": 1.0299,
      "step": 310
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0002,
      "loss": 1.0737,
      "step": 320
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.0002,
      "loss": 0.9939,
      "step": 330
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0002,
      "loss": 1.032,
      "step": 340
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0002,
      "loss": 1.0291,
      "step": 350
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0002,
      "loss": 1.0575,
      "step": 360
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0002,
      "loss": 1.0685,
      "step": 370
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0002,
      "loss": 1.0342,
      "step": 380
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0002,
      "loss": 1.0055,
      "step": 390
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0002,
      "loss": 1.0584,
      "step": 400
    },
    {
      "epoch": 0.25,
      "eval_loss": 1.0254805088043213,
      "eval_runtime": 172.7517,
      "eval_samples_per_second": 5.789,
      "eval_steps_per_second": 2.894,
      "step": 400
    },
    {
      "epoch": 0.25,
      "mmlu_eval_accuracy": 0.4742191978590581,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5,
      "mmlu_eval_accuracy_astronomy": 0.5,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
      "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.5,
      "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778,
      "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
      "mmlu_eval_accuracy_logical_fallacies": 0.5,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.5588235294117647,
      "mmlu_eval_accuracy_prehistory": 0.37142857142857144,
      "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
      "mmlu_eval_accuracy_professional_law": 0.32941176470588235,
      "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355,
      "mmlu_eval_accuracy_professional_psychology": 0.391304347826087,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5555555555555556,
      "mmlu_eval_accuracy_sociology": 0.7272727272727273,
      "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.6111111111111112,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 1.038680466208072,
      "step": 400
    },
    {
      "epoch": 0.26,
      "learning_rate": 0.0002,
      "loss": 1.0107,
      "step": 410
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0002,
      "loss": 1.0667,
      "step": 420
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0002,
      "loss": 0.9837,
      "step": 430
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0002,
      "loss": 1.0534,
      "step": 440
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0002,
      "loss": 0.9922,
      "step": 450
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0002,
      "loss": 1.0146,
      "step": 460
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.0002,
      "loss": 1.0438,
      "step": 470
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0002,
      "loss": 0.9886,
      "step": 480
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0002,
      "loss": 0.988,
      "step": 490
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0002,
      "loss": 1.0228,
      "step": 500
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0002,
      "loss": 1.0173,
      "step": 510
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.0002,
      "loss": 0.9993,
      "step": 520
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0002,
      "loss": 1.0261,
      "step": 530
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0002,
      "loss": 0.9884,
      "step": 540
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0002,
      "loss": 0.9894,
      "step": 550
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0002,
      "loss": 1.0305,
      "step": 560
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0002,
      "loss": 0.9754,
      "step": 570
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0002,
      "loss": 1.0075,
      "step": 580
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0002,
      "loss": 1.0219,
      "step": 590
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0002,
      "loss": 1.0059,
      "step": 600
    },
    {
      "epoch": 0.38,
      "eval_loss": 1.0200624465942383,
      "eval_runtime": 172.8545,
      "eval_samples_per_second": 5.785,
      "eval_steps_per_second": 2.893,
      "step": 600
    },
    {
      "epoch": 0.38,
      "mmlu_eval_accuracy": 0.46940456315845464,
      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.5,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.3181818181818182,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.5,
      "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683,
      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778,
      "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.7692307692307693,
      "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.5,
      "mmlu_eval_accuracy_prehistory": 0.37142857142857144,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.35294117647058826,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.42028985507246375,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.7272727272727273,
      "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 1.0641063005121196,
      "step": 600
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0002,
      "loss": 1.0185,
      "step": 610
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0002,
      "loss": 1.0322,
      "step": 620
    },
    {
      "epoch": 0.4,
      "learning_rate": 0.0002,
      "loss": 1.0053,
      "step": 630
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0002,
      "loss": 1.0443,
      "step": 640
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0002,
      "loss": 0.9675,
      "step": 650
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0002,
      "loss": 1.0216,
      "step": 660
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0002,
      "loss": 1.0396,
      "step": 670
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0002,
      "loss": 1.0374,
      "step": 680
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0002,
      "loss": 0.9234,
      "step": 690
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0002,
      "loss": 0.9685,
      "step": 700
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0002,
      "loss": 1.0514,
      "step": 710
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0002,
      "loss": 1.0374,
      "step": 720
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0002,
      "loss": 1.036,
      "step": 730
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0002,
      "loss": 0.9701,
      "step": 740
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0002,
      "loss": 0.9619,
      "step": 750
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0002,
      "loss": 1.0571,
      "step": 760
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0002,
      "loss": 1.0154,
      "step": 770
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0002,
      "loss": 1.0092,
      "step": 780
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0002,
      "loss": 1.001,
      "step": 790
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0002,
      "loss": 0.9411,
      "step": 800
    },
    {
      "epoch": 0.51,
      "eval_loss": 1.013809323310852,
      "eval_runtime": 172.8017,
      "eval_samples_per_second": 5.787,
      "eval_steps_per_second": 2.893,
      "step": 800
    },
    {
      "epoch": 0.51,
      "mmlu_eval_accuracy": 0.46531291628150345,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.4375,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.4375,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.3125,
      "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.40625,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.75,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5454545454545454,
      "mmlu_eval_accuracy_philosophy": 0.5294117647058824,
      "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
      "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
      "mmlu_eval_accuracy_professional_law": 0.3588235294117647,
      "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
      "mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.5555555555555556,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 0.9923236886569476,
      "step": 800
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0002,
      "loss": 0.956,
      "step": 810
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0002,
      "loss": 1.0641,
      "step": 820
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0002,
      "loss": 0.9918,
      "step": 830
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0002,
      "loss": 0.9516,
      "step": 840
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0002,
      "loss": 1.0692,
      "step": 850
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0002,
      "loss": 1.0003,
      "step": 860
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0002,
      "loss": 0.949,
      "step": 870
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0002,
      "loss": 0.9744,
      "step": 880
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0002,
      "loss": 1.0029,
      "step": 890
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0002,
      "loss": 1.0229,
      "step": 900
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0002,
      "loss": 1.0498,
      "step": 910
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.0002,
      "loss": 1.0292,
      "step": 920
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.0002,
      "loss": 1.0674,
      "step": 930
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0002,
      "loss": 1.0258,
      "step": 940
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0002,
      "loss": 0.9771,
      "step": 950
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0002,
      "loss": 0.9876,
      "step": 960
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0002,
      "loss": 0.9789,
      "step": 970
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0002,
      "loss": 1.0642,
      "step": 980
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.0002,
      "loss": 0.9753,
      "step": 990
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0002,
      "loss": 0.9893,
      "step": 1000
    },
    {
      "epoch": 0.64,
      "eval_loss": 1.0121480226516724,
      "eval_runtime": 172.7325,
      "eval_samples_per_second": 5.789,
      "eval_steps_per_second": 2.895,
      "step": 1000
    },
    {
      "epoch": 0.64,
      "mmlu_eval_accuracy": 0.4561918495422321,
      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.3125,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.27906976744186046,
      "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.68,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.5882352941176471,
      "mmlu_eval_accuracy_prehistory": 0.42857142857142855,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.32941176470588235,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
      "mmlu_eval_accuracy_public_relations": 0.3333333333333333,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.6363636363636364,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 0.9897475262846087,
      "step": 1000
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0002,
      "loss": 0.9521,
      "step": 1010
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0002,
      "loss": 1.0668,
      "step": 1020
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0002,
      "loss": 0.9922,
      "step": 1030
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0002,
      "loss": 1.0092,
      "step": 1040
    },
    {
      "epoch": 0.67,
      "learning_rate": 0.0002,
      "loss": 0.9869,
      "step": 1050
    },
    {
      "epoch": 0.67,
      "learning_rate": 0.0002,
      "loss": 1.0046,
      "step": 1060
    },
    {
      "epoch": 0.68,
      "learning_rate": 0.0002,
      "loss": 1.0184,
      "step": 1070
    },
    {
      "epoch": 0.69,
      "learning_rate": 0.0002,
      "loss": 0.9839,
      "step": 1080
    },
    {
      "epoch": 0.69,
      "learning_rate": 0.0002,
      "loss": 0.9943,
      "step": 1090
    },
    {
      "epoch": 0.7,
      "learning_rate": 0.0002,
      "loss": 0.886,
      "step": 1100
    },
    {
      "epoch": 0.71,
      "learning_rate": 0.0002,
      "loss": 0.9615,
      "step": 1110
    },
    {
      "epoch": 0.71,
      "learning_rate": 0.0002,
      "loss": 1.0171,
      "step": 1120
    },
    {
      "epoch": 0.72,
      "learning_rate": 0.0002,
      "loss": 0.9841,
      "step": 1130
    },
    {
      "epoch": 0.72,
      "learning_rate": 0.0002,
      "loss": 1.0505,
      "step": 1140
    },
    {
      "epoch": 0.73,
      "learning_rate": 0.0002,
      "loss": 1.0,
      "step": 1150
    },
    {
      "epoch": 0.74,
      "learning_rate": 0.0002,
      "loss": 1.0334,
      "step": 1160
    },
    {
      "epoch": 0.74,
      "learning_rate": 0.0002,
      "loss": 1.0645,
      "step": 1170
    },
    {
      "epoch": 0.75,
      "learning_rate": 0.0002,
      "loss": 1.0085,
      "step": 1180
    },
    {
      "epoch": 0.76,
      "learning_rate": 0.0002,
      "loss": 0.9845,
      "step": 1190
    },
    {
      "epoch": 0.76,
      "learning_rate": 0.0002,
      "loss": 1.0293,
      "step": 1200
    },
    {
      "epoch": 0.76,
      "eval_loss": 1.0063538551330566,
      "eval_runtime": 172.7358,
      "eval_samples_per_second": 5.789,
      "eval_steps_per_second": 2.895,
      "step": 1200
    },
    {
      "epoch": 0.76,
      "mmlu_eval_accuracy": 0.4524679151745841,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.3125,
      "mmlu_eval_accuracy_college_chemistry": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.3125,
      "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.40625,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
      "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
      "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077,
      "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.6363636363636364,
      "mmlu_eval_accuracy_marketing": 0.68,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.23,
      "mmlu_eval_accuracy_nutrition": 0.5757575757575758,
      "mmlu_eval_accuracy_philosophy": 0.5,
      "mmlu_eval_accuracy_prehistory": 0.4,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3588235294117647,
      "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
      "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.6363636363636364,
      "mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 1.021113502333432,
      "step": 1200
    },
    {
      "epoch": 0.77,
      "learning_rate": 0.0002,
      "loss": 1.0129,
      "step": 1210
    },
    {
      "epoch": 0.78,
      "learning_rate": 0.0002,
      "loss": 1.0353,
      "step": 1220
    },
    {
      "epoch": 0.78,
      "learning_rate": 0.0002,
      "loss": 1.0105,
      "step": 1230
    },
    {
      "epoch": 0.79,
      "learning_rate": 0.0002,
      "loss": 1.0319,
      "step": 1240
    },
    {
      "epoch": 0.79,
      "learning_rate": 0.0002,
      "loss": 1.0328,
      "step": 1250
    },
    {
      "epoch": 0.8,
      "learning_rate": 0.0002,
      "loss": 1.0879,
      "step": 1260
    },
    {
      "epoch": 0.81,
      "learning_rate": 0.0002,
      "loss": 0.9598,
      "step": 1270
    },
    {
      "epoch": 0.81,
      "learning_rate": 0.0002,
      "loss": 0.9848,
      "step": 1280
    },
    {
      "epoch": 0.82,
      "learning_rate": 0.0002,
      "loss": 0.9948,
      "step": 1290
    },
    {
      "epoch": 0.83,
      "learning_rate": 0.0002,
      "loss": 0.9533,
      "step": 1300
    },
    {
      "epoch": 0.83,
      "learning_rate": 0.0002,
      "loss": 0.9284,
      "step": 1310
    },
    {
      "epoch": 0.84,
      "learning_rate": 0.0002,
      "loss": 0.9845,
      "step": 1320
    },
    {
      "epoch": 0.85,
      "learning_rate": 0.0002,
      "loss": 1.0032,
      "step": 1330
    },
    {
      "epoch": 0.85,
      "learning_rate": 0.0002,
      "loss": 0.9875,
      "step": 1340
    },
    {
      "epoch": 0.86,
      "learning_rate": 0.0002,
      "loss": 1.015,
      "step": 1350
    },
    {
      "epoch": 0.86,
      "learning_rate": 0.0002,
      "loss": 0.9766,
      "step": 1360
    },
    {
      "epoch": 0.87,
      "learning_rate": 0.0002,
      "loss": 1.0295,
      "step": 1370
    },
    {
      "epoch": 0.88,
      "learning_rate": 0.0002,
      "loss": 0.9226,
      "step": 1380
    },
    {
      "epoch": 0.88,
      "learning_rate": 0.0002,
      "loss": 1.0241,
      "step": 1390
    },
    {
      "epoch": 0.89,
      "learning_rate": 0.0002,
      "loss": 1.0129,
      "step": 1400
    },
    {
      "epoch": 0.89,
      "eval_loss": 1.0057677030563354,
      "eval_runtime": 172.8484,
      "eval_samples_per_second": 5.785,
      "eval_steps_per_second": 2.893,
      "step": 1400
    },
    {
      "epoch": 0.89,
      "mmlu_eval_accuracy": 0.45964022370681756,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.25,
      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.40625,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488,
      "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.64,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
      "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
      "mmlu_eval_accuracy_moral_scenarios": 0.23,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.47058823529411764,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
      "mmlu_eval_accuracy_professional_law": 0.3411764705882353,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5555555555555556,
      "mmlu_eval_accuracy_sociology": 0.6363636363636364,
      "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 0.9177856030569997,
      "step": 1400
    },
    {
      "epoch": 0.9,
      "learning_rate": 0.0002,
      "loss": 0.982,
      "step": 1410
    },
    {
      "epoch": 0.9,
      "learning_rate": 0.0002,
      "loss": 1.0635,
      "step": 1420
    },
    {
      "epoch": 0.91,
      "learning_rate": 0.0002,
      "loss": 0.996,
      "step": 1430
    },
    {
      "epoch": 0.92,
      "learning_rate": 0.0002,
      "loss": 0.9793,
      "step": 1440
    },
    {
      "epoch": 0.92,
      "learning_rate": 0.0002,
      "loss": 1.0052,
      "step": 1450
    },
    {
      "epoch": 0.93,
      "learning_rate": 0.0002,
      "loss": 0.9909,
      "step": 1460
    },
    {
      "epoch": 0.93,
      "learning_rate": 0.0002,
      "loss": 0.9891,
      "step": 1470
    },
    {
      "epoch": 0.94,
      "learning_rate": 0.0002,
      "loss": 1.015,
      "step": 1480
    },
    {
      "epoch": 0.95,
      "learning_rate": 0.0002,
      "loss": 1.0233,
      "step": 1490
    },
    {
      "epoch": 0.95,
      "learning_rate": 0.0002,
      "loss": 1.079,
      "step": 1500
    },
    {
      "epoch": 0.96,
      "learning_rate": 0.0002,
      "loss": 0.9864,
      "step": 1510
    },
    {
      "epoch": 0.97,
      "learning_rate": 0.0002,
      "loss": 0.9793,
      "step": 1520
    },
    {
      "epoch": 0.97,
      "learning_rate": 0.0002,
      "loss": 0.9783,
      "step": 1530
    },
    {
      "epoch": 0.98,
      "learning_rate": 0.0002,
      "loss": 0.9897,
      "step": 1540
    },
    {
      "epoch": 0.99,
      "learning_rate": 0.0002,
      "loss": 1.051,
      "step": 1550
    },
    {
      "epoch": 0.99,
      "learning_rate": 0.0002,
      "loss": 1.0132,
      "step": 1560
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.0002,
      "loss": 1.1073,
      "step": 1570
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.0002,
      "loss": 0.9009,
      "step": 1580
    },
    {
      "epoch": 1.01,
      "learning_rate": 0.0002,
      "loss": 0.8841,
      "step": 1590
    },
    {
      "epoch": 1.02,
      "learning_rate": 0.0002,
      "loss": 0.9225,
      "step": 1600
    },
    {
      "epoch": 1.02,
      "eval_loss": 1.0068118572235107,
      "eval_runtime": 173.3247,
      "eval_samples_per_second": 5.77,
      "eval_steps_per_second": 2.885,
      "step": 1600
    },
    {
      "epoch": 1.02,
      "mmlu_eval_accuracy": 0.4707131865952628,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.25,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.25,
      "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.5454545454545454,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.4375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.40625,
      "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_european_history": 0.5,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
      "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
      "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
      "mmlu_eval_accuracy_high_school_world_history": 0.5,
      "mmlu_eval_accuracy_human_aging": 0.6086956521739131,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.9230769230769231,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
      "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
      "mmlu_eval_accuracy_moral_scenarios": 0.23,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
      "mmlu_eval_accuracy_prehistory": 0.5428571428571428,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3411764705882353,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5555555555555556,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3333333333333333,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.021920564319384,
      "step": 1600
    },
    {
      "epoch": 1.02,
      "learning_rate": 0.0002,
      "loss": 0.8649,
      "step": 1610
    },
    {
      "epoch": 1.03,
      "learning_rate": 0.0002,
      "loss": 0.9385,
      "step": 1620
    },
    {
      "epoch": 1.04,
      "learning_rate": 0.0002,
      "loss": 0.8745,
      "step": 1630
    },
    {
      "epoch": 1.04,
      "learning_rate": 0.0002,
      "loss": 0.9147,
      "step": 1640
    },
    {
      "epoch": 1.05,
      "learning_rate": 0.0002,
      "loss": 0.9248,
      "step": 1650
    },
    {
      "epoch": 1.06,
      "learning_rate": 0.0002,
      "loss": 0.9589,
      "step": 1660
    },
    {
      "epoch": 1.06,
      "learning_rate": 0.0002,
      "loss": 0.9758,
      "step": 1670
    },
    {
      "epoch": 1.07,
      "learning_rate": 0.0002,
      "loss": 0.8933,
      "step": 1680
    },
    {
      "epoch": 1.07,
      "learning_rate": 0.0002,
      "loss": 0.9461,
      "step": 1690
    },
    {
      "epoch": 1.08,
      "learning_rate": 0.0002,
      "loss": 0.9112,
      "step": 1700
    },
    {
      "epoch": 1.09,
      "learning_rate": 0.0002,
      "loss": 0.911,
      "step": 1710
    },
    {
      "epoch": 1.09,
      "learning_rate": 0.0002,
      "loss": 0.8496,
      "step": 1720
    },
    {
      "epoch": 1.1,
      "learning_rate": 0.0002,
      "loss": 0.8736,
      "step": 1730
    },
    {
      "epoch": 1.11,
      "learning_rate": 0.0002,
      "loss": 0.939,
      "step": 1740
    },
    {
      "epoch": 1.11,
      "learning_rate": 0.0002,
      "loss": 0.9635,
      "step": 1750
    },
    {
      "epoch": 1.12,
      "learning_rate": 0.0002,
      "loss": 0.9676,
      "step": 1760
    },
    {
      "epoch": 1.13,
      "learning_rate": 0.0002,
      "loss": 0.9119,
      "step": 1770
    },
    {
      "epoch": 1.13,
      "learning_rate": 0.0002,
      "loss": 0.875,
      "step": 1780
    },
    {
      "epoch": 1.14,
      "learning_rate": 0.0002,
      "loss": 0.9124,
      "step": 1790
    },
    {
      "epoch": 1.14,
      "learning_rate": 0.0002,
      "loss": 0.9585,
      "step": 1800
    },
    {
      "epoch": 1.14,
      "eval_loss": 1.010450839996338,
      "eval_runtime": 172.7082,
      "eval_samples_per_second": 5.79,
      "eval_steps_per_second": 2.895,
      "step": 1800
    },
    {
      "epoch": 1.14,
      "mmlu_eval_accuracy": 0.47217971012391907,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.3125,
      "mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.4375,
      "mmlu_eval_accuracy_college_chemistry": 0.375,
      "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.6363636363636364,
      "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
      "mmlu_eval_accuracy_econometrics": 0.08333333333333333,
      "mmlu_eval_accuracy_electrical_engineering": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.5,
      "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.47058823529411764,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
      "mmlu_eval_accuracy_moral_disputes": 0.5,
      "mmlu_eval_accuracy_moral_scenarios": 0.26,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
      "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3352941176470588,
      "mmlu_eval_accuracy_professional_medicine": 0.3548387096774194,
      "mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5555555555555556,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 0.9877977234459733,
      "step": 1800
    },
    {
      "epoch": 1.15,
      "learning_rate": 0.0002,
      "loss": 0.8384,
      "step": 1810
    },
    {
      "epoch": 1.16,
      "learning_rate": 0.0002,
      "loss": 0.924,
      "step": 1820
    },
    {
      "epoch": 1.16,
      "learning_rate": 0.0002,
      "loss": 0.8817,
      "step": 1830
    },
    {
      "epoch": 1.17,
      "learning_rate": 0.0002,
      "loss": 0.886,
      "step": 1840
    },
    {
      "epoch": 1.18,
      "learning_rate": 0.0002,
      "loss": 0.8906,
      "step": 1850
    },
    {
      "epoch": 1.18,
      "learning_rate": 0.0002,
      "loss": 0.8712,
      "step": 1860
    },
    {
      "epoch": 1.19,
      "learning_rate": 0.0002,
      "loss": 0.8587,
      "step": 1870
    },
    {
      "epoch": 1.2,
      "learning_rate": 0.0002,
      "loss": 0.9311,
      "step": 1880
    },
    {
      "epoch": 1.2,
      "learning_rate": 0.0002,
      "loss": 0.9516,
      "step": 1890
    },
    {
      "epoch": 1.21,
      "learning_rate": 0.0002,
      "loss": 0.9246,
      "step": 1900
    },
    {
      "epoch": 1.21,
      "learning_rate": 0.0002,
      "loss": 0.8861,
      "step": 1910
    },
    {
      "epoch": 1.22,
      "learning_rate": 0.0002,
      "loss": 0.9638,
      "step": 1920
    },
    {
      "epoch": 1.23,
      "learning_rate": 0.0002,
      "loss": 0.941,
      "step": 1930
    },
    {
      "epoch": 1.23,
      "learning_rate": 0.0002,
      "loss": 0.8471,
      "step": 1940
    },
    {
      "epoch": 1.24,
      "learning_rate": 0.0002,
      "loss": 0.9218,
      "step": 1950
    },
    {
      "epoch": 1.25,
      "learning_rate": 0.0002,
      "loss": 0.8863,
      "step": 1960
    },
    {
      "epoch": 1.25,
      "learning_rate": 0.0002,
      "loss": 0.9759,
      "step": 1970
    },
    {
      "epoch": 1.26,
      "learning_rate": 0.0002,
      "loss": 0.8612,
      "step": 1980
    },
    {
      "epoch": 1.27,
      "learning_rate": 0.0002,
      "loss": 0.9012,
      "step": 1990
    },
    {
      "epoch": 1.27,
      "learning_rate": 0.0002,
      "loss": 0.9311,
      "step": 2000
    },
    {
      "epoch": 1.27,
      "eval_loss": 1.0115450620651245,
      "eval_runtime": 172.799,
      "eval_samples_per_second": 5.787,
      "eval_steps_per_second": 2.894,
      "step": 2000
    },
    {
      "epoch": 1.27,
      "mmlu_eval_accuracy": 0.47506174490127356,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.3125,
      "mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
      "mmlu_eval_accuracy_college_biology": 0.375,
      "mmlu_eval_accuracy_college_chemistry": 0.375,
      "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
      "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
      "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.7272727272727273,
      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
      "mmlu_eval_accuracy_econometrics": 0.08333333333333333,
      "mmlu_eval_accuracy_electrical_engineering": 0.4375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "mmlu_eval_accuracy_high_school_biology": 0.46875,
      "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_european_history": 0.3333333333333333,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.4117647058823529,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
      "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6086956521739131,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.8181818181818182,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
      "mmlu_eval_accuracy_moral_disputes": 0.5,
      "mmlu_eval_accuracy_moral_scenarios": 0.23,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
      "mmlu_eval_accuracy_prehistory": 0.5142857142857142,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3588235294117647,
      "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
      "mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.070052120708143,
      "step": 2000
    }
  ],
  "max_steps": 5000,
  "num_train_epochs": 4,
  "total_flos": 3.835867218734776e+17,
  "trial_name": null,
  "trial_params": null
}