{
  "best_metric": 0.6245253086090088,
  "best_model_checkpoint": "./output_v2/7b_cluster012_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_012/checkpoint-1600",
  "epoch": 2.5477707006369426,
  "global_step": 2200,
  "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": 0.7418,
      "step": 10
    },
    {
      "epoch": 0.02,
      "learning_rate": 0.0002,
      "loss": 0.7269,
      "step": 20
    },
    {
      "epoch": 0.03,
      "learning_rate": 0.0002,
      "loss": 0.7061,
      "step": 30
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0002,
      "loss": 0.6809,
      "step": 40
    },
    {
      "epoch": 0.06,
      "learning_rate": 0.0002,
      "loss": 0.6742,
      "step": 50
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0002,
      "loss": 0.6789,
      "step": 60
    },
    {
      "epoch": 0.08,
      "learning_rate": 0.0002,
      "loss": 0.6628,
      "step": 70
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0002,
      "loss": 0.6995,
      "step": 80
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.0002,
      "loss": 0.6774,
      "step": 90
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0002,
      "loss": 0.6716,
      "step": 100
    },
    {
      "epoch": 0.13,
      "learning_rate": 0.0002,
      "loss": 0.6628,
      "step": 110
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0002,
      "loss": 0.6696,
      "step": 120
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0002,
      "loss": 0.648,
      "step": 130
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0002,
      "loss": 0.6823,
      "step": 140
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.0002,
      "loss": 0.6532,
      "step": 150
    },
    {
      "epoch": 0.19,
      "learning_rate": 0.0002,
      "loss": 0.669,
      "step": 160
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.0002,
      "loss": 0.6639,
      "step": 170
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.0002,
      "loss": 0.6582,
      "step": 180
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0002,
      "loss": 0.6381,
      "step": 190
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0002,
      "loss": 0.6342,
      "step": 200
    },
    {
      "epoch": 0.23,
      "eval_loss": 0.6798371076583862,
      "eval_runtime": 220.8775,
      "eval_samples_per_second": 4.527,
      "eval_steps_per_second": 2.264,
      "step": 200
    },
    {
      "epoch": 0.23,
      "mmlu_eval_accuracy": 0.4661323913730994,
      "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": 0.4375,
      "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": 0.36363636363636365,
      "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": 0.3902439024390244,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "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": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
      "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": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.6363636363636364,
      "mmlu_eval_accuracy_marketing": 0.76,
      "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": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5757575757575758,
      "mmlu_eval_accuracy_philosophy": 0.5,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
      "mmlu_eval_accuracy_professional_law": 0.35294117647058826,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.391304347826087,
      "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": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.1315238676556718,
      "step": 200
    },
    {
      "epoch": 0.24,
      "learning_rate": 0.0002,
      "loss": 0.6574,
      "step": 210
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0002,
      "loss": 0.6601,
      "step": 220
    },
    {
      "epoch": 0.27,
      "learning_rate": 0.0002,
      "loss": 0.6499,
      "step": 230
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0002,
      "loss": 0.6469,
      "step": 240
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0002,
      "loss": 0.6546,
      "step": 250
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.0002,
      "loss": 0.6681,
      "step": 260
    },
    {
      "epoch": 0.31,
      "learning_rate": 0.0002,
      "loss": 0.6403,
      "step": 270
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0002,
      "loss": 0.676,
      "step": 280
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0002,
      "loss": 0.6548,
      "step": 290
    },
    {
      "epoch": 0.35,
      "learning_rate": 0.0002,
      "loss": 0.6394,
      "step": 300
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0002,
      "loss": 0.6173,
      "step": 310
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0002,
      "loss": 0.6425,
      "step": 320
    },
    {
      "epoch": 0.38,
      "learning_rate": 0.0002,
      "loss": 0.6379,
      "step": 330
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0002,
      "loss": 0.6191,
      "step": 340
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0002,
      "loss": 0.6645,
      "step": 350
    },
    {
      "epoch": 0.42,
      "learning_rate": 0.0002,
      "loss": 0.5998,
      "step": 360
    },
    {
      "epoch": 0.43,
      "learning_rate": 0.0002,
      "loss": 0.6402,
      "step": 370
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0002,
      "loss": 0.6291,
      "step": 380
    },
    {
      "epoch": 0.45,
      "learning_rate": 0.0002,
      "loss": 0.6202,
      "step": 390
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0002,
      "loss": 0.6532,
      "step": 400
    },
    {
      "epoch": 0.46,
      "eval_loss": 0.6604505777359009,
      "eval_runtime": 220.7584,
      "eval_samples_per_second": 4.53,
      "eval_steps_per_second": 2.265,
      "step": 400
    },
    {
      "epoch": 0.46,
      "mmlu_eval_accuracy": 0.466397920486829,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "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": 0.18181818181818182,
      "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": 0.3902439024390244,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.5,
      "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": 0.5,
      "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "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": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.5,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_management": 0.5454545454545454,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
      "mmlu_eval_accuracy_prehistory": 0.42857142857142855,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3764705882352941,
      "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484,
      "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.5925925925925926,
      "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": 0.9161743937308265,
      "step": 400
    },
    {
      "epoch": 0.47,
      "learning_rate": 0.0002,
      "loss": 0.6487,
      "step": 410
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.0002,
      "loss": 0.6248,
      "step": 420
    },
    {
      "epoch": 0.5,
      "learning_rate": 0.0002,
      "loss": 0.6421,
      "step": 430
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0002,
      "loss": 0.6679,
      "step": 440
    },
    {
      "epoch": 0.52,
      "learning_rate": 0.0002,
      "loss": 0.6202,
      "step": 450
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0002,
      "loss": 0.7009,
      "step": 460
    },
    {
      "epoch": 0.54,
      "learning_rate": 0.0002,
      "loss": 0.627,
      "step": 470
    },
    {
      "epoch": 0.56,
      "learning_rate": 0.0002,
      "loss": 0.6294,
      "step": 480
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0002,
      "loss": 0.6254,
      "step": 490
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0002,
      "loss": 0.6174,
      "step": 500
    },
    {
      "epoch": 0.59,
      "learning_rate": 0.0002,
      "loss": 0.6225,
      "step": 510
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0002,
      "loss": 0.6703,
      "step": 520
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.0002,
      "loss": 0.6232,
      "step": 530
    },
    {
      "epoch": 0.63,
      "learning_rate": 0.0002,
      "loss": 0.6606,
      "step": 540
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0002,
      "loss": 0.5992,
      "step": 550
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.0002,
      "loss": 0.6118,
      "step": 560
    },
    {
      "epoch": 0.66,
      "learning_rate": 0.0002,
      "loss": 0.642,
      "step": 570
    },
    {
      "epoch": 0.67,
      "learning_rate": 0.0002,
      "loss": 0.6149,
      "step": 580
    },
    {
      "epoch": 0.68,
      "learning_rate": 0.0002,
      "loss": 0.6148,
      "step": 590
    },
    {
      "epoch": 0.69,
      "learning_rate": 0.0002,
      "loss": 0.6258,
      "step": 600
    },
    {
      "epoch": 0.69,
      "eval_loss": 0.6469126343727112,
      "eval_runtime": 220.793,
      "eval_samples_per_second": 4.529,
      "eval_steps_per_second": 2.265,
      "step": 600
    },
    {
      "epoch": 0.69,
      "mmlu_eval_accuracy": 0.47179539026686096,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.5,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "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": 0.45454545454545453,
      "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": 0.45454545454545453,
      "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.5,
      "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.5,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.5454545454545454,
      "mmlu_eval_accuracy_marketing": 0.8,
      "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": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.5294117647058824,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.3352941176470588,
      "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
      "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856,
      "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": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 0.9272451737102889,
      "step": 600
    },
    {
      "epoch": 0.71,
      "learning_rate": 0.0002,
      "loss": 0.5855,
      "step": 610
    },
    {
      "epoch": 0.72,
      "learning_rate": 0.0002,
      "loss": 0.6213,
      "step": 620
    },
    {
      "epoch": 0.73,
      "learning_rate": 0.0002,
      "loss": 0.6392,
      "step": 630
    },
    {
      "epoch": 0.74,
      "learning_rate": 0.0002,
      "loss": 0.6488,
      "step": 640
    },
    {
      "epoch": 0.75,
      "learning_rate": 0.0002,
      "loss": 0.6377,
      "step": 650
    },
    {
      "epoch": 0.76,
      "learning_rate": 0.0002,
      "loss": 0.6119,
      "step": 660
    },
    {
      "epoch": 0.78,
      "learning_rate": 0.0002,
      "loss": 0.609,
      "step": 670
    },
    {
      "epoch": 0.79,
      "learning_rate": 0.0002,
      "loss": 0.6189,
      "step": 680
    },
    {
      "epoch": 0.8,
      "learning_rate": 0.0002,
      "loss": 0.6444,
      "step": 690
    },
    {
      "epoch": 0.81,
      "learning_rate": 0.0002,
      "loss": 0.6365,
      "step": 700
    },
    {
      "epoch": 0.82,
      "learning_rate": 0.0002,
      "loss": 0.6219,
      "step": 710
    },
    {
      "epoch": 0.83,
      "learning_rate": 0.0002,
      "loss": 0.626,
      "step": 720
    },
    {
      "epoch": 0.85,
      "learning_rate": 0.0002,
      "loss": 0.583,
      "step": 730
    },
    {
      "epoch": 0.86,
      "learning_rate": 0.0002,
      "loss": 0.6017,
      "step": 740
    },
    {
      "epoch": 0.87,
      "learning_rate": 0.0002,
      "loss": 0.635,
      "step": 750
    },
    {
      "epoch": 0.88,
      "learning_rate": 0.0002,
      "loss": 0.6216,
      "step": 760
    },
    {
      "epoch": 0.89,
      "learning_rate": 0.0002,
      "loss": 0.5759,
      "step": 770
    },
    {
      "epoch": 0.9,
      "learning_rate": 0.0002,
      "loss": 0.5969,
      "step": 780
    },
    {
      "epoch": 0.91,
      "learning_rate": 0.0002,
      "loss": 0.6033,
      "step": 790
    },
    {
      "epoch": 0.93,
      "learning_rate": 0.0002,
      "loss": 0.6057,
      "step": 800
    },
    {
      "epoch": 0.93,
      "eval_loss": 0.6383256912231445,
      "eval_runtime": 220.6008,
      "eval_samples_per_second": 4.533,
      "eval_steps_per_second": 2.267,
      "step": 800
    },
    {
      "epoch": 0.93,
      "mmlu_eval_accuracy": 0.46887372107587305,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5,
      "mmlu_eval_accuracy_astronomy": 0.3125,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "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": 0.45454545454545453,
      "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": 0.45454545454545453,
      "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "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": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
      "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": 0.46153846153846156,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.75,
      "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "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": 0.8,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5757575757575758,
      "mmlu_eval_accuracy_philosophy": 0.5,
      "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": 0.391304347826087,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5555555555555556,
      "mmlu_eval_accuracy_sociology": 0.7272727272727273,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 1.0044854765577975,
      "step": 800
    },
    {
      "epoch": 0.94,
      "learning_rate": 0.0002,
      "loss": 0.6071,
      "step": 810
    },
    {
      "epoch": 0.95,
      "learning_rate": 0.0002,
      "loss": 0.5743,
      "step": 820
    },
    {
      "epoch": 0.96,
      "learning_rate": 0.0002,
      "loss": 0.6023,
      "step": 830
    },
    {
      "epoch": 0.97,
      "learning_rate": 0.0002,
      "loss": 0.6004,
      "step": 840
    },
    {
      "epoch": 0.98,
      "learning_rate": 0.0002,
      "loss": 0.5766,
      "step": 850
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.0002,
      "loss": 0.63,
      "step": 860
    },
    {
      "epoch": 1.01,
      "learning_rate": 0.0002,
      "loss": 0.5598,
      "step": 870
    },
    {
      "epoch": 1.02,
      "learning_rate": 0.0002,
      "loss": 0.5241,
      "step": 880
    },
    {
      "epoch": 1.03,
      "learning_rate": 0.0002,
      "loss": 0.5345,
      "step": 890
    },
    {
      "epoch": 1.04,
      "learning_rate": 0.0002,
      "loss": 0.5461,
      "step": 900
    },
    {
      "epoch": 1.05,
      "learning_rate": 0.0002,
      "loss": 0.5186,
      "step": 910
    },
    {
      "epoch": 1.07,
      "learning_rate": 0.0002,
      "loss": 0.5461,
      "step": 920
    },
    {
      "epoch": 1.08,
      "learning_rate": 0.0002,
      "loss": 0.5642,
      "step": 930
    },
    {
      "epoch": 1.09,
      "learning_rate": 0.0002,
      "loss": 0.5216,
      "step": 940
    },
    {
      "epoch": 1.1,
      "learning_rate": 0.0002,
      "loss": 0.5416,
      "step": 950
    },
    {
      "epoch": 1.11,
      "learning_rate": 0.0002,
      "loss": 0.5295,
      "step": 960
    },
    {
      "epoch": 1.12,
      "learning_rate": 0.0002,
      "loss": 0.5407,
      "step": 970
    },
    {
      "epoch": 1.13,
      "learning_rate": 0.0002,
      "loss": 0.547,
      "step": 980
    },
    {
      "epoch": 1.15,
      "learning_rate": 0.0002,
      "loss": 0.5566,
      "step": 990
    },
    {
      "epoch": 1.16,
      "learning_rate": 0.0002,
      "loss": 0.5895,
      "step": 1000
    },
    {
      "epoch": 1.16,
      "eval_loss": 0.6423189043998718,
      "eval_runtime": 221.1599,
      "eval_samples_per_second": 4.522,
      "eval_steps_per_second": 2.261,
      "step": 1000
    },
    {
      "epoch": 1.16,
      "mmlu_eval_accuracy": 0.4701589950226067,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.4375,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.5,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "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": 0.3170731707317073,
      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
      "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": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_european_history": 0.5,
      "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
      "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": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "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": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "mmlu_eval_accuracy_moral_scenarios": 0.26,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.34705882352941175,
      "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355,
      "mmlu_eval_accuracy_professional_psychology": 0.391304347826087,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.7727272727272727,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 0.9071105094748129,
      "step": 1000
    },
    {
      "epoch": 1.17,
      "learning_rate": 0.0002,
      "loss": 0.5462,
      "step": 1010
    },
    {
      "epoch": 1.18,
      "learning_rate": 0.0002,
      "loss": 0.5465,
      "step": 1020
    },
    {
      "epoch": 1.19,
      "learning_rate": 0.0002,
      "loss": 0.5454,
      "step": 1030
    },
    {
      "epoch": 1.2,
      "learning_rate": 0.0002,
      "loss": 0.5208,
      "step": 1040
    },
    {
      "epoch": 1.22,
      "learning_rate": 0.0002,
      "loss": 0.5409,
      "step": 1050
    },
    {
      "epoch": 1.23,
      "learning_rate": 0.0002,
      "loss": 0.5412,
      "step": 1060
    },
    {
      "epoch": 1.24,
      "learning_rate": 0.0002,
      "loss": 0.5251,
      "step": 1070
    },
    {
      "epoch": 1.25,
      "learning_rate": 0.0002,
      "loss": 0.5528,
      "step": 1080
    },
    {
      "epoch": 1.26,
      "learning_rate": 0.0002,
      "loss": 0.5449,
      "step": 1090
    },
    {
      "epoch": 1.27,
      "learning_rate": 0.0002,
      "loss": 0.5383,
      "step": 1100
    },
    {
      "epoch": 1.29,
      "learning_rate": 0.0002,
      "loss": 0.5544,
      "step": 1110
    },
    {
      "epoch": 1.3,
      "learning_rate": 0.0002,
      "loss": 0.5287,
      "step": 1120
    },
    {
      "epoch": 1.31,
      "learning_rate": 0.0002,
      "loss": 0.5309,
      "step": 1130
    },
    {
      "epoch": 1.32,
      "learning_rate": 0.0002,
      "loss": 0.5159,
      "step": 1140
    },
    {
      "epoch": 1.33,
      "learning_rate": 0.0002,
      "loss": 0.5343,
      "step": 1150
    },
    {
      "epoch": 1.34,
      "learning_rate": 0.0002,
      "loss": 0.5282,
      "step": 1160
    },
    {
      "epoch": 1.35,
      "learning_rate": 0.0002,
      "loss": 0.5315,
      "step": 1170
    },
    {
      "epoch": 1.37,
      "learning_rate": 0.0002,
      "loss": 0.5492,
      "step": 1180
    },
    {
      "epoch": 1.38,
      "learning_rate": 0.0002,
      "loss": 0.5429,
      "step": 1190
    },
    {
      "epoch": 1.39,
      "learning_rate": 0.0002,
      "loss": 0.5208,
      "step": 1200
    },
    {
      "epoch": 1.39,
      "eval_loss": 0.6369008421897888,
      "eval_runtime": 221.011,
      "eval_samples_per_second": 4.525,
      "eval_steps_per_second": 2.262,
      "step": 1200
    },
    {
      "epoch": 1.39,
      "mmlu_eval_accuracy": 0.47643388223673894,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "mmlu_eval_accuracy_anatomy": 0.6428571428571429,
      "mmlu_eval_accuracy_astronomy": 0.4375,
      "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
      "mmlu_eval_accuracy_college_biology": 0.5,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "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": 0.375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "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": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
      "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
      "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": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.09090909090909091,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "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": 0.1935483870967742,
      "mmlu_eval_accuracy_professional_law": 0.3058823529411765,
      "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
      "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.5185185185185185,
      "mmlu_eval_accuracy_sociology": 0.7727272727272727,
      "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 0.9347293432364264,
      "step": 1200
    },
    {
      "epoch": 1.4,
      "learning_rate": 0.0002,
      "loss": 0.5522,
      "step": 1210
    },
    {
      "epoch": 1.41,
      "learning_rate": 0.0002,
      "loss": 0.5528,
      "step": 1220
    },
    {
      "epoch": 1.42,
      "learning_rate": 0.0002,
      "loss": 0.5721,
      "step": 1230
    },
    {
      "epoch": 1.44,
      "learning_rate": 0.0002,
      "loss": 0.5326,
      "step": 1240
    },
    {
      "epoch": 1.45,
      "learning_rate": 0.0002,
      "loss": 0.5497,
      "step": 1250
    },
    {
      "epoch": 1.46,
      "learning_rate": 0.0002,
      "loss": 0.5476,
      "step": 1260
    },
    {
      "epoch": 1.47,
      "learning_rate": 0.0002,
      "loss": 0.5285,
      "step": 1270
    },
    {
      "epoch": 1.48,
      "learning_rate": 0.0002,
      "loss": 0.5827,
      "step": 1280
    },
    {
      "epoch": 1.49,
      "learning_rate": 0.0002,
      "loss": 0.5332,
      "step": 1290
    },
    {
      "epoch": 1.51,
      "learning_rate": 0.0002,
      "loss": 0.5504,
      "step": 1300
    },
    {
      "epoch": 1.52,
      "learning_rate": 0.0002,
      "loss": 0.5909,
      "step": 1310
    },
    {
      "epoch": 1.53,
      "learning_rate": 0.0002,
      "loss": 0.5266,
      "step": 1320
    },
    {
      "epoch": 1.54,
      "learning_rate": 0.0002,
      "loss": 0.5614,
      "step": 1330
    },
    {
      "epoch": 1.55,
      "learning_rate": 0.0002,
      "loss": 0.517,
      "step": 1340
    },
    {
      "epoch": 1.56,
      "learning_rate": 0.0002,
      "loss": 0.5402,
      "step": 1350
    },
    {
      "epoch": 1.57,
      "learning_rate": 0.0002,
      "loss": 0.5511,
      "step": 1360
    },
    {
      "epoch": 1.59,
      "learning_rate": 0.0002,
      "loss": 0.5385,
      "step": 1370
    },
    {
      "epoch": 1.6,
      "learning_rate": 0.0002,
      "loss": 0.5431,
      "step": 1380
    },
    {
      "epoch": 1.61,
      "learning_rate": 0.0002,
      "loss": 0.5528,
      "step": 1390
    },
    {
      "epoch": 1.62,
      "learning_rate": 0.0002,
      "loss": 0.5535,
      "step": 1400
    },
    {
      "epoch": 1.62,
      "eval_loss": 0.6297795176506042,
      "eval_runtime": 221.766,
      "eval_samples_per_second": 4.509,
      "eval_steps_per_second": 2.255,
      "step": 1400
    },
    {
      "epoch": 1.62,
      "mmlu_eval_accuracy": 0.46949284116120593,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.7142857142857143,
      "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": 0.5,
      "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": 0.3181818181818182,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
      "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": 0.35714285714285715,
      "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": 0.5,
      "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": 0.20689655172413793,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "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": 0.6923076923076923,
      "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": 0.8,
      "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": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.32941176470588235,
      "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
      "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
      "mmlu_eval_accuracy_sociology": 0.7727272727272727,
      "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 0.917322517929516,
      "step": 1400
    },
    {
      "epoch": 1.63,
      "learning_rate": 0.0002,
      "loss": 0.5332,
      "step": 1410
    },
    {
      "epoch": 1.64,
      "learning_rate": 0.0002,
      "loss": 0.5563,
      "step": 1420
    },
    {
      "epoch": 1.66,
      "learning_rate": 0.0002,
      "loss": 0.5173,
      "step": 1430
    },
    {
      "epoch": 1.67,
      "learning_rate": 0.0002,
      "loss": 0.5432,
      "step": 1440
    },
    {
      "epoch": 1.68,
      "learning_rate": 0.0002,
      "loss": 0.5492,
      "step": 1450
    },
    {
      "epoch": 1.69,
      "learning_rate": 0.0002,
      "loss": 0.5482,
      "step": 1460
    },
    {
      "epoch": 1.7,
      "learning_rate": 0.0002,
      "loss": 0.5191,
      "step": 1470
    },
    {
      "epoch": 1.71,
      "learning_rate": 0.0002,
      "loss": 0.5578,
      "step": 1480
    },
    {
      "epoch": 1.73,
      "learning_rate": 0.0002,
      "loss": 0.5405,
      "step": 1490
    },
    {
      "epoch": 1.74,
      "learning_rate": 0.0002,
      "loss": 0.5499,
      "step": 1500
    },
    {
      "epoch": 1.75,
      "learning_rate": 0.0002,
      "loss": 0.5204,
      "step": 1510
    },
    {
      "epoch": 1.76,
      "learning_rate": 0.0002,
      "loss": 0.5327,
      "step": 1520
    },
    {
      "epoch": 1.77,
      "learning_rate": 0.0002,
      "loss": 0.5495,
      "step": 1530
    },
    {
      "epoch": 1.78,
      "learning_rate": 0.0002,
      "loss": 0.5527,
      "step": 1540
    },
    {
      "epoch": 1.8,
      "learning_rate": 0.0002,
      "loss": 0.5569,
      "step": 1550
    },
    {
      "epoch": 1.81,
      "learning_rate": 0.0002,
      "loss": 0.5626,
      "step": 1560
    },
    {
      "epoch": 1.82,
      "learning_rate": 0.0002,
      "loss": 0.5432,
      "step": 1570
    },
    {
      "epoch": 1.83,
      "learning_rate": 0.0002,
      "loss": 0.5432,
      "step": 1580
    },
    {
      "epoch": 1.84,
      "learning_rate": 0.0002,
      "loss": 0.5325,
      "step": 1590
    },
    {
      "epoch": 1.85,
      "learning_rate": 0.0002,
      "loss": 0.5136,
      "step": 1600
    },
    {
      "epoch": 1.85,
      "eval_loss": 0.6245253086090088,
      "eval_runtime": 222.3896,
      "eval_samples_per_second": 4.497,
      "eval_steps_per_second": 2.248,
      "step": 1600
    },
    {
      "epoch": 1.85,
      "mmlu_eval_accuracy": 0.47687615586569587,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.7142857142857143,
      "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": 0.5625,
      "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": 0.3181818181818182,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "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": 0.34146341463414637,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.5,
      "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
      "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": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "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": 0.8,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.5,
      "mmlu_eval_accuracy_prehistory": 0.4,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.34705882352941175,
      "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
      "mmlu_eval_accuracy_professional_psychology": 0.34782608695652173,
      "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": 0.7272727272727273,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.0008745580600384,
      "step": 1600
    },
    {
      "epoch": 1.86,
      "learning_rate": 0.0002,
      "loss": 0.5459,
      "step": 1610
    },
    {
      "epoch": 1.88,
      "learning_rate": 0.0002,
      "loss": 0.5103,
      "step": 1620
    },
    {
      "epoch": 1.89,
      "learning_rate": 0.0002,
      "loss": 0.542,
      "step": 1630
    },
    {
      "epoch": 1.9,
      "learning_rate": 0.0002,
      "loss": 0.5335,
      "step": 1640
    },
    {
      "epoch": 1.91,
      "learning_rate": 0.0002,
      "loss": 0.5418,
      "step": 1650
    },
    {
      "epoch": 1.92,
      "learning_rate": 0.0002,
      "loss": 0.5129,
      "step": 1660
    },
    {
      "epoch": 1.93,
      "learning_rate": 0.0002,
      "loss": 0.5401,
      "step": 1670
    },
    {
      "epoch": 1.95,
      "learning_rate": 0.0002,
      "loss": 0.5274,
      "step": 1680
    },
    {
      "epoch": 1.96,
      "learning_rate": 0.0002,
      "loss": 0.503,
      "step": 1690
    },
    {
      "epoch": 1.97,
      "learning_rate": 0.0002,
      "loss": 0.5235,
      "step": 1700
    },
    {
      "epoch": 1.98,
      "learning_rate": 0.0002,
      "loss": 0.5313,
      "step": 1710
    },
    {
      "epoch": 1.99,
      "learning_rate": 0.0002,
      "loss": 0.5384,
      "step": 1720
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.0002,
      "loss": 0.5115,
      "step": 1730
    },
    {
      "epoch": 2.02,
      "learning_rate": 0.0002,
      "loss": 0.4449,
      "step": 1740
    },
    {
      "epoch": 2.03,
      "learning_rate": 0.0002,
      "loss": 0.4605,
      "step": 1750
    },
    {
      "epoch": 2.04,
      "learning_rate": 0.0002,
      "loss": 0.4246,
      "step": 1760
    },
    {
      "epoch": 2.05,
      "learning_rate": 0.0002,
      "loss": 0.4255,
      "step": 1770
    },
    {
      "epoch": 2.06,
      "learning_rate": 0.0002,
      "loss": 0.4432,
      "step": 1780
    },
    {
      "epoch": 2.07,
      "learning_rate": 0.0002,
      "loss": 0.4392,
      "step": 1790
    },
    {
      "epoch": 2.08,
      "learning_rate": 0.0002,
      "loss": 0.4406,
      "step": 1800
    },
    {
      "epoch": 2.08,
      "eval_loss": 0.6432040333747864,
      "eval_runtime": 222.2115,
      "eval_samples_per_second": 4.5,
      "eval_steps_per_second": 2.25,
      "step": 1800
    },
    {
      "epoch": 2.08,
      "mmlu_eval_accuracy": 0.47079222757165684,
      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
      "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": 0.6875,
      "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": 0.3181818181818182,
      "mmlu_eval_accuracy_college_physics": 0.6363636363636364,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "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": 0.3902439024390244,
      "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": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023,
      "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.5,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.5,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.8,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "mmlu_eval_accuracy_miscellaneous": 0.686046511627907,
      "mmlu_eval_accuracy_moral_disputes": 0.5,
      "mmlu_eval_accuracy_moral_scenarios": 0.27,
      "mmlu_eval_accuracy_nutrition": 0.5454545454545454,
      "mmlu_eval_accuracy_philosophy": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.42857142857142855,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.36470588235294116,
      "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
      "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.4444444444444444,
      "mmlu_eval_accuracy_sociology": 0.7727272727272727,
      "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 0.9951506730207964,
      "step": 1800
    },
    {
      "epoch": 2.1,
      "learning_rate": 0.0002,
      "loss": 0.4308,
      "step": 1810
    },
    {
      "epoch": 2.11,
      "learning_rate": 0.0002,
      "loss": 0.4273,
      "step": 1820
    },
    {
      "epoch": 2.12,
      "learning_rate": 0.0002,
      "loss": 0.4261,
      "step": 1830
    },
    {
      "epoch": 2.13,
      "learning_rate": 0.0002,
      "loss": 0.4383,
      "step": 1840
    },
    {
      "epoch": 2.14,
      "learning_rate": 0.0002,
      "loss": 0.4644,
      "step": 1850
    },
    {
      "epoch": 2.15,
      "learning_rate": 0.0002,
      "loss": 0.438,
      "step": 1860
    },
    {
      "epoch": 2.17,
      "learning_rate": 0.0002,
      "loss": 0.4517,
      "step": 1870
    },
    {
      "epoch": 2.18,
      "learning_rate": 0.0002,
      "loss": 0.4393,
      "step": 1880
    },
    {
      "epoch": 2.19,
      "learning_rate": 0.0002,
      "loss": 0.4683,
      "step": 1890
    },
    {
      "epoch": 2.2,
      "learning_rate": 0.0002,
      "loss": 0.4378,
      "step": 1900
    },
    {
      "epoch": 2.21,
      "learning_rate": 0.0002,
      "loss": 0.4516,
      "step": 1910
    },
    {
      "epoch": 2.22,
      "learning_rate": 0.0002,
      "loss": 0.4457,
      "step": 1920
    },
    {
      "epoch": 2.24,
      "learning_rate": 0.0002,
      "loss": 0.4315,
      "step": 1930
    },
    {
      "epoch": 2.25,
      "learning_rate": 0.0002,
      "loss": 0.4706,
      "step": 1940
    },
    {
      "epoch": 2.26,
      "learning_rate": 0.0002,
      "loss": 0.435,
      "step": 1950
    },
    {
      "epoch": 2.27,
      "learning_rate": 0.0002,
      "loss": 0.4472,
      "step": 1960
    },
    {
      "epoch": 2.28,
      "learning_rate": 0.0002,
      "loss": 0.4411,
      "step": 1970
    },
    {
      "epoch": 2.29,
      "learning_rate": 0.0002,
      "loss": 0.4442,
      "step": 1980
    },
    {
      "epoch": 2.3,
      "learning_rate": 0.0002,
      "loss": 0.4452,
      "step": 1990
    },
    {
      "epoch": 2.32,
      "learning_rate": 0.0002,
      "loss": 0.4482,
      "step": 2000
    },
    {
      "epoch": 2.32,
      "eval_loss": 0.6480200886726379,
      "eval_runtime": 222.4829,
      "eval_samples_per_second": 4.495,
      "eval_steps_per_second": 2.247,
      "step": 2000
    },
    {
      "epoch": 2.32,
      "mmlu_eval_accuracy": 0.46674311156465825,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "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": 0.5625,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
      "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
      "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": 0.2857142857142857,
      "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": 0.5555555555555556,
      "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": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395,
      "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
      "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.5454545454545454,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "mmlu_eval_accuracy_moral_scenarios": 0.26,
      "mmlu_eval_accuracy_nutrition": 0.5454545454545454,
      "mmlu_eval_accuracy_philosophy": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "mmlu_eval_accuracy_professional_law": 0.3176470588235294,
      "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
      "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.0962266209523142,
      "step": 2000
    },
    {
      "epoch": 2.33,
      "learning_rate": 0.0002,
      "loss": 0.4631,
      "step": 2010
    },
    {
      "epoch": 2.34,
      "learning_rate": 0.0002,
      "loss": 0.4568,
      "step": 2020
    },
    {
      "epoch": 2.35,
      "learning_rate": 0.0002,
      "loss": 0.4426,
      "step": 2030
    },
    {
      "epoch": 2.36,
      "learning_rate": 0.0002,
      "loss": 0.4602,
      "step": 2040
    },
    {
      "epoch": 2.37,
      "learning_rate": 0.0002,
      "loss": 0.4211,
      "step": 2050
    },
    {
      "epoch": 2.39,
      "learning_rate": 0.0002,
      "loss": 0.4472,
      "step": 2060
    },
    {
      "epoch": 2.4,
      "learning_rate": 0.0002,
      "loss": 0.4512,
      "step": 2070
    },
    {
      "epoch": 2.41,
      "learning_rate": 0.0002,
      "loss": 0.469,
      "step": 2080
    },
    {
      "epoch": 2.42,
      "learning_rate": 0.0002,
      "loss": 0.4398,
      "step": 2090
    },
    {
      "epoch": 2.43,
      "learning_rate": 0.0002,
      "loss": 0.4364,
      "step": 2100
    },
    {
      "epoch": 2.44,
      "learning_rate": 0.0002,
      "loss": 0.4513,
      "step": 2110
    },
    {
      "epoch": 2.46,
      "learning_rate": 0.0002,
      "loss": 0.4649,
      "step": 2120
    },
    {
      "epoch": 2.47,
      "learning_rate": 0.0002,
      "loss": 0.4675,
      "step": 2130
    },
    {
      "epoch": 2.48,
      "learning_rate": 0.0002,
      "loss": 0.4543,
      "step": 2140
    },
    {
      "epoch": 2.49,
      "learning_rate": 0.0002,
      "loss": 0.4569,
      "step": 2150
    },
    {
      "epoch": 2.5,
      "learning_rate": 0.0002,
      "loss": 0.4496,
      "step": 2160
    },
    {
      "epoch": 2.51,
      "learning_rate": 0.0002,
      "loss": 0.4642,
      "step": 2170
    },
    {
      "epoch": 2.52,
      "learning_rate": 0.0002,
      "loss": 0.449,
      "step": 2180
    },
    {
      "epoch": 2.54,
      "learning_rate": 0.0002,
      "loss": 0.4314,
      "step": 2190
    },
    {
      "epoch": 2.55,
      "learning_rate": 0.0002,
      "loss": 0.4517,
      "step": 2200
    },
    {
      "epoch": 2.55,
      "eval_loss": 0.6445462107658386,
      "eval_runtime": 222.7493,
      "eval_samples_per_second": 4.489,
      "eval_steps_per_second": 2.245,
      "step": 2200
    },
    {
      "epoch": 2.55,
      "mmlu_eval_accuracy": 0.4640439343702407,
      "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
      "mmlu_eval_accuracy_anatomy": 0.6428571428571429,
      "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": 0.5,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
      "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": 0.2857142857142857,
      "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": 0.5555555555555556,
      "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": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
      "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818,
      "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.6923076923076923,
      "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
      "mmlu_eval_accuracy_management": 0.5454545454545454,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
      "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5151515151515151,
      "mmlu_eval_accuracy_philosophy": 0.38235294117647056,
      "mmlu_eval_accuracy_prehistory": 0.45714285714285713,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.3411764705882353,
      "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
      "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
      "mmlu_loss": 1.0772519736956834,
      "step": 2200
    }
  ],
  "max_steps": 5000,
  "num_train_epochs": 6,
  "total_flos": 5.5167200128629965e+17,
  "trial_name": null,
  "trial_params": null
}