{
  "best_metric": 0.6964578628540039,
  "best_model_checkpoint": "./output_v2/7b_cluster06_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_06/checkpoint-800",
  "epoch": 3.218390804597701,
  "global_step": 1400,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02,
      "learning_rate": 0.0002,
      "loss": 0.8662,
      "step": 10
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.0002,
      "loss": 0.7634,
      "step": 20
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.0002,
      "loss": 0.8485,
      "step": 30
    },
    {
      "epoch": 0.09,
      "learning_rate": 0.0002,
      "loss": 0.7866,
      "step": 40
    },
    {
      "epoch": 0.11,
      "learning_rate": 0.0002,
      "loss": 0.7199,
      "step": 50
    },
    {
      "epoch": 0.14,
      "learning_rate": 0.0002,
      "loss": 0.7387,
      "step": 60
    },
    {
      "epoch": 0.16,
      "learning_rate": 0.0002,
      "loss": 0.705,
      "step": 70
    },
    {
      "epoch": 0.18,
      "learning_rate": 0.0002,
      "loss": 0.7617,
      "step": 80
    },
    {
      "epoch": 0.21,
      "learning_rate": 0.0002,
      "loss": 0.7022,
      "step": 90
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.0002,
      "loss": 0.715,
      "step": 100
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.0002,
      "loss": 0.6946,
      "step": 110
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.0002,
      "loss": 0.7201,
      "step": 120
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.0002,
      "loss": 0.6633,
      "step": 130
    },
    {
      "epoch": 0.32,
      "learning_rate": 0.0002,
      "loss": 0.687,
      "step": 140
    },
    {
      "epoch": 0.34,
      "learning_rate": 0.0002,
      "loss": 0.7582,
      "step": 150
    },
    {
      "epoch": 0.37,
      "learning_rate": 0.0002,
      "loss": 0.7141,
      "step": 160
    },
    {
      "epoch": 0.39,
      "learning_rate": 0.0002,
      "loss": 0.7852,
      "step": 170
    },
    {
      "epoch": 0.41,
      "learning_rate": 0.0002,
      "loss": 0.7228,
      "step": 180
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0002,
      "loss": 0.7682,
      "step": 190
    },
    {
      "epoch": 0.46,
      "learning_rate": 0.0002,
      "loss": 0.6408,
      "step": 200
    },
    {
      "epoch": 0.46,
      "eval_loss": 0.7120537757873535,
      "eval_runtime": 248.212,
      "eval_samples_per_second": 4.029,
      "eval_steps_per_second": 2.014,
      "step": 200
    },
    {
      "epoch": 0.46,
      "mmlu_eval_accuracy": 0.47641762588949127,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.4375,
      "mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
      "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": 0.36363636363636365,
      "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": 0.625,
      "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": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
      "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778,
      "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
      "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "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": 0.5384615384615384,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667,
      "mmlu_eval_accuracy_international_law": 0.8461538461538461,
      "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
      "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.5757575757575758,
      "mmlu_eval_accuracy_philosophy": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.4,
      "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613,
      "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": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.048742408132273,
      "step": 200
    },
    {
      "epoch": 0.48,
      "learning_rate": 0.0002,
      "loss": 0.7296,
      "step": 210
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0002,
      "loss": 0.7013,
      "step": 220
    },
    {
      "epoch": 0.53,
      "learning_rate": 0.0002,
      "loss": 0.7162,
      "step": 230
    },
    {
      "epoch": 0.55,
      "learning_rate": 0.0002,
      "loss": 0.6838,
      "step": 240
    },
    {
      "epoch": 0.57,
      "learning_rate": 0.0002,
      "loss": 0.7733,
      "step": 250
    },
    {
      "epoch": 0.6,
      "learning_rate": 0.0002,
      "loss": 0.6866,
      "step": 260
    },
    {
      "epoch": 0.62,
      "learning_rate": 0.0002,
      "loss": 0.7496,
      "step": 270
    },
    {
      "epoch": 0.64,
      "learning_rate": 0.0002,
      "loss": 0.7202,
      "step": 280
    },
    {
      "epoch": 0.67,
      "learning_rate": 0.0002,
      "loss": 0.6604,
      "step": 290
    },
    {
      "epoch": 0.69,
      "learning_rate": 0.0002,
      "loss": 0.6567,
      "step": 300
    },
    {
      "epoch": 0.71,
      "learning_rate": 0.0002,
      "loss": 0.7013,
      "step": 310
    },
    {
      "epoch": 0.74,
      "learning_rate": 0.0002,
      "loss": 0.7217,
      "step": 320
    },
    {
      "epoch": 0.76,
      "learning_rate": 0.0002,
      "loss": 0.7105,
      "step": 330
    },
    {
      "epoch": 0.78,
      "learning_rate": 0.0002,
      "loss": 0.7674,
      "step": 340
    },
    {
      "epoch": 0.8,
      "learning_rate": 0.0002,
      "loss": 0.709,
      "step": 350
    },
    {
      "epoch": 0.83,
      "learning_rate": 0.0002,
      "loss": 0.6924,
      "step": 360
    },
    {
      "epoch": 0.85,
      "learning_rate": 0.0002,
      "loss": 0.7067,
      "step": 370
    },
    {
      "epoch": 0.87,
      "learning_rate": 0.0002,
      "loss": 0.7528,
      "step": 380
    },
    {
      "epoch": 0.9,
      "learning_rate": 0.0002,
      "loss": 0.6967,
      "step": 390
    },
    {
      "epoch": 0.92,
      "learning_rate": 0.0002,
      "loss": 0.7424,
      "step": 400
    },
    {
      "epoch": 0.92,
      "eval_loss": 0.7028327584266663,
      "eval_runtime": 248.3077,
      "eval_samples_per_second": 4.027,
      "eval_steps_per_second": 2.014,
      "step": 400
    },
    {
      "epoch": 0.92,
      "mmlu_eval_accuracy": 0.4534692920503279,
      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
      "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": 0.375,
      "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": 0.3181818181818182,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "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": 0.2926829268292683,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "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": 0.4444444444444444,
      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
      "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": 0.3103448275862069,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.7,
      "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
      "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
      "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": 0.7272727272727273,
      "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": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
      "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": 0.4057971014492754,
      "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": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.034321005696883,
      "step": 400
    },
    {
      "epoch": 0.94,
      "learning_rate": 0.0002,
      "loss": 0.722,
      "step": 410
    },
    {
      "epoch": 0.97,
      "learning_rate": 0.0002,
      "loss": 0.7236,
      "step": 420
    },
    {
      "epoch": 0.99,
      "learning_rate": 0.0002,
      "loss": 0.7075,
      "step": 430
    },
    {
      "epoch": 1.01,
      "learning_rate": 0.0002,
      "loss": 0.6595,
      "step": 440
    },
    {
      "epoch": 1.03,
      "learning_rate": 0.0002,
      "loss": 0.6631,
      "step": 450
    },
    {
      "epoch": 1.06,
      "learning_rate": 0.0002,
      "loss": 0.6957,
      "step": 460
    },
    {
      "epoch": 1.08,
      "learning_rate": 0.0002,
      "loss": 0.6092,
      "step": 470
    },
    {
      "epoch": 1.1,
      "learning_rate": 0.0002,
      "loss": 0.6014,
      "step": 480
    },
    {
      "epoch": 1.13,
      "learning_rate": 0.0002,
      "loss": 0.6629,
      "step": 490
    },
    {
      "epoch": 1.15,
      "learning_rate": 0.0002,
      "loss": 0.6606,
      "step": 500
    },
    {
      "epoch": 1.17,
      "learning_rate": 0.0002,
      "loss": 0.6623,
      "step": 510
    },
    {
      "epoch": 1.2,
      "learning_rate": 0.0002,
      "loss": 0.6528,
      "step": 520
    },
    {
      "epoch": 1.22,
      "learning_rate": 0.0002,
      "loss": 0.619,
      "step": 530
    },
    {
      "epoch": 1.24,
      "learning_rate": 0.0002,
      "loss": 0.6822,
      "step": 540
    },
    {
      "epoch": 1.26,
      "learning_rate": 0.0002,
      "loss": 0.6897,
      "step": 550
    },
    {
      "epoch": 1.29,
      "learning_rate": 0.0002,
      "loss": 0.6194,
      "step": 560
    },
    {
      "epoch": 1.31,
      "learning_rate": 0.0002,
      "loss": 0.6854,
      "step": 570
    },
    {
      "epoch": 1.33,
      "learning_rate": 0.0002,
      "loss": 0.6408,
      "step": 580
    },
    {
      "epoch": 1.36,
      "learning_rate": 0.0002,
      "loss": 0.6705,
      "step": 590
    },
    {
      "epoch": 1.38,
      "learning_rate": 0.0002,
      "loss": 0.6806,
      "step": 600
    },
    {
      "epoch": 1.38,
      "eval_loss": 0.7048470377922058,
      "eval_runtime": 248.1356,
      "eval_samples_per_second": 4.03,
      "eval_steps_per_second": 2.015,
      "step": 600
    },
    {
      "epoch": 1.38,
      "mmlu_eval_accuracy": 0.45527626426304835,
      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
      "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": 0.125,
      "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
      "mmlu_eval_accuracy_conceptual_physics": 0.5,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "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": 0.4375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453,
      "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": 0.3103448275862069,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7,
      "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
      "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909,
      "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": 0.7692307692307693,
      "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.6363636363636364,
      "mmlu_eval_accuracy_marketing": 0.76,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "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": 0.38235294117647056,
      "mmlu_eval_accuracy_prehistory": 0.5142857142857142,
      "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322,
      "mmlu_eval_accuracy_professional_law": 0.31176470588235294,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856,
      "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": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.5,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 0.8697303273707784,
      "step": 600
    },
    {
      "epoch": 1.4,
      "learning_rate": 0.0002,
      "loss": 0.6112,
      "step": 610
    },
    {
      "epoch": 1.43,
      "learning_rate": 0.0002,
      "loss": 0.6605,
      "step": 620
    },
    {
      "epoch": 1.45,
      "learning_rate": 0.0002,
      "loss": 0.6882,
      "step": 630
    },
    {
      "epoch": 1.47,
      "learning_rate": 0.0002,
      "loss": 0.6504,
      "step": 640
    },
    {
      "epoch": 1.49,
      "learning_rate": 0.0002,
      "loss": 0.6036,
      "step": 650
    },
    {
      "epoch": 1.52,
      "learning_rate": 0.0002,
      "loss": 0.5717,
      "step": 660
    },
    {
      "epoch": 1.54,
      "learning_rate": 0.0002,
      "loss": 0.669,
      "step": 670
    },
    {
      "epoch": 1.56,
      "learning_rate": 0.0002,
      "loss": 0.6218,
      "step": 680
    },
    {
      "epoch": 1.59,
      "learning_rate": 0.0002,
      "loss": 0.6473,
      "step": 690
    },
    {
      "epoch": 1.61,
      "learning_rate": 0.0002,
      "loss": 0.661,
      "step": 700
    },
    {
      "epoch": 1.63,
      "learning_rate": 0.0002,
      "loss": 0.6366,
      "step": 710
    },
    {
      "epoch": 1.66,
      "learning_rate": 0.0002,
      "loss": 0.6217,
      "step": 720
    },
    {
      "epoch": 1.68,
      "learning_rate": 0.0002,
      "loss": 0.6534,
      "step": 730
    },
    {
      "epoch": 1.7,
      "learning_rate": 0.0002,
      "loss": 0.6491,
      "step": 740
    },
    {
      "epoch": 1.72,
      "learning_rate": 0.0002,
      "loss": 0.6436,
      "step": 750
    },
    {
      "epoch": 1.75,
      "learning_rate": 0.0002,
      "loss": 0.6816,
      "step": 760
    },
    {
      "epoch": 1.77,
      "learning_rate": 0.0002,
      "loss": 0.6326,
      "step": 770
    },
    {
      "epoch": 1.79,
      "learning_rate": 0.0002,
      "loss": 0.6431,
      "step": 780
    },
    {
      "epoch": 1.82,
      "learning_rate": 0.0002,
      "loss": 0.6536,
      "step": 790
    },
    {
      "epoch": 1.84,
      "learning_rate": 0.0002,
      "loss": 0.659,
      "step": 800
    },
    {
      "epoch": 1.84,
      "eval_loss": 0.6964578628540039,
      "eval_runtime": 248.2292,
      "eval_samples_per_second": 4.029,
      "eval_steps_per_second": 2.014,
      "step": 800
    },
    {
      "epoch": 1.84,
      "mmlu_eval_accuracy": 0.46974001380312136,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "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": 0.4375,
      "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": 0.4090909090909091,
      "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": 0.5,
      "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
      "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": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_european_history": 0.5,
      "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.5,
      "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
      "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667,
      "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": 0.9230769230769231,
      "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.36363636363636365,
      "mmlu_eval_accuracy_management": 0.7272727272727273,
      "mmlu_eval_accuracy_marketing": 0.68,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "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": 0.4117647058823529,
      "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
      "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225,
      "mmlu_eval_accuracy_professional_law": 0.3058823529411765,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
      "mmlu_eval_accuracy_sociology": 0.6363636363636364,
      "mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453,
      "mmlu_eval_accuracy_virology": 0.3888888888888889,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.069855675548704,
      "step": 800
    },
    {
      "epoch": 1.86,
      "learning_rate": 0.0002,
      "loss": 0.6798,
      "step": 810
    },
    {
      "epoch": 1.89,
      "learning_rate": 0.0002,
      "loss": 0.6485,
      "step": 820
    },
    {
      "epoch": 1.91,
      "learning_rate": 0.0002,
      "loss": 0.6419,
      "step": 830
    },
    {
      "epoch": 1.93,
      "learning_rate": 0.0002,
      "loss": 0.6528,
      "step": 840
    },
    {
      "epoch": 1.95,
      "learning_rate": 0.0002,
      "loss": 0.6674,
      "step": 850
    },
    {
      "epoch": 1.98,
      "learning_rate": 0.0002,
      "loss": 0.6487,
      "step": 860
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.0002,
      "loss": 0.6742,
      "step": 870
    },
    {
      "epoch": 2.02,
      "learning_rate": 0.0002,
      "loss": 0.5303,
      "step": 880
    },
    {
      "epoch": 2.05,
      "learning_rate": 0.0002,
      "loss": 0.5264,
      "step": 890
    },
    {
      "epoch": 2.07,
      "learning_rate": 0.0002,
      "loss": 0.5578,
      "step": 900
    },
    {
      "epoch": 2.09,
      "learning_rate": 0.0002,
      "loss": 0.5399,
      "step": 910
    },
    {
      "epoch": 2.11,
      "learning_rate": 0.0002,
      "loss": 0.6028,
      "step": 920
    },
    {
      "epoch": 2.14,
      "learning_rate": 0.0002,
      "loss": 0.5292,
      "step": 930
    },
    {
      "epoch": 2.16,
      "learning_rate": 0.0002,
      "loss": 0.5715,
      "step": 940
    },
    {
      "epoch": 2.18,
      "learning_rate": 0.0002,
      "loss": 0.514,
      "step": 950
    },
    {
      "epoch": 2.21,
      "learning_rate": 0.0002,
      "loss": 0.5381,
      "step": 960
    },
    {
      "epoch": 2.23,
      "learning_rate": 0.0002,
      "loss": 0.5259,
      "step": 970
    },
    {
      "epoch": 2.25,
      "learning_rate": 0.0002,
      "loss": 0.5476,
      "step": 980
    },
    {
      "epoch": 2.28,
      "learning_rate": 0.0002,
      "loss": 0.5369,
      "step": 990
    },
    {
      "epoch": 2.3,
      "learning_rate": 0.0002,
      "loss": 0.5541,
      "step": 1000
    },
    {
      "epoch": 2.3,
      "eval_loss": 0.7225061058998108,
      "eval_runtime": 248.2663,
      "eval_samples_per_second": 4.028,
      "eval_steps_per_second": 2.014,
      "step": 1000
    },
    {
      "epoch": 2.3,
      "mmlu_eval_accuracy": 0.46504233740978407,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.45454545454545453,
      "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": 0.2727272727272727,
      "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "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": 0.4,
      "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": 0.6111111111111112,
      "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": 0.27586206896551724,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
      "mmlu_eval_accuracy_high_school_psychology": 0.7,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
      "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
      "mmlu_eval_accuracy_human_sexuality": 0.5,
      "mmlu_eval_accuracy_international_law": 0.9230769230769231,
      "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
      "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
      "mmlu_eval_accuracy_machine_learning": 0.2727272727272727,
      "mmlu_eval_accuracy_management": 0.6363636363636364,
      "mmlu_eval_accuracy_marketing": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "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": 0.35294117647058826,
      "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": 0.37681159420289856,
      "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": 0.6363636363636364,
      "mmlu_eval_accuracy_virology": 0.4444444444444444,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 1.1883746445879302,
      "step": 1000
    },
    {
      "epoch": 2.32,
      "learning_rate": 0.0002,
      "loss": 0.5264,
      "step": 1010
    },
    {
      "epoch": 2.34,
      "learning_rate": 0.0002,
      "loss": 0.5494,
      "step": 1020
    },
    {
      "epoch": 2.37,
      "learning_rate": 0.0002,
      "loss": 0.5728,
      "step": 1030
    },
    {
      "epoch": 2.39,
      "learning_rate": 0.0002,
      "loss": 0.5291,
      "step": 1040
    },
    {
      "epoch": 2.41,
      "learning_rate": 0.0002,
      "loss": 0.523,
      "step": 1050
    },
    {
      "epoch": 2.44,
      "learning_rate": 0.0002,
      "loss": 0.5893,
      "step": 1060
    },
    {
      "epoch": 2.46,
      "learning_rate": 0.0002,
      "loss": 0.5839,
      "step": 1070
    },
    {
      "epoch": 2.48,
      "learning_rate": 0.0002,
      "loss": 0.5653,
      "step": 1080
    },
    {
      "epoch": 2.51,
      "learning_rate": 0.0002,
      "loss": 0.5518,
      "step": 1090
    },
    {
      "epoch": 2.53,
      "learning_rate": 0.0002,
      "loss": 0.5497,
      "step": 1100
    },
    {
      "epoch": 2.55,
      "learning_rate": 0.0002,
      "loss": 0.5789,
      "step": 1110
    },
    {
      "epoch": 2.57,
      "learning_rate": 0.0002,
      "loss": 0.5358,
      "step": 1120
    },
    {
      "epoch": 2.6,
      "learning_rate": 0.0002,
      "loss": 0.5576,
      "step": 1130
    },
    {
      "epoch": 2.62,
      "learning_rate": 0.0002,
      "loss": 0.5015,
      "step": 1140
    },
    {
      "epoch": 2.64,
      "learning_rate": 0.0002,
      "loss": 0.5494,
      "step": 1150
    },
    {
      "epoch": 2.67,
      "learning_rate": 0.0002,
      "loss": 0.5482,
      "step": 1160
    },
    {
      "epoch": 2.69,
      "learning_rate": 0.0002,
      "loss": 0.5882,
      "step": 1170
    },
    {
      "epoch": 2.71,
      "learning_rate": 0.0002,
      "loss": 0.5525,
      "step": 1180
    },
    {
      "epoch": 2.74,
      "learning_rate": 0.0002,
      "loss": 0.5455,
      "step": 1190
    },
    {
      "epoch": 2.76,
      "learning_rate": 0.0002,
      "loss": 0.5813,
      "step": 1200
    },
    {
      "epoch": 2.76,
      "eval_loss": 0.7202425003051758,
      "eval_runtime": 248.3045,
      "eval_samples_per_second": 4.027,
      "eval_steps_per_second": 2.014,
      "step": 1200
    },
    {
      "epoch": 2.76,
      "mmlu_eval_accuracy": 0.4683330314670407,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "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": 0.3125,
      "mmlu_eval_accuracy_college_chemistry": 0.25,
      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.5,
      "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": 0.4375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
      "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": 0.5555555555555556,
      "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
      "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
      "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
      "mmlu_eval_accuracy_high_school_psychology": 0.8,
      "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
      "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769,
      "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": 0.6363636363636364,
      "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
      "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
      "mmlu_eval_accuracy_philosophy": 0.4117647058823529,
      "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": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
      "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
      "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
      "mmlu_eval_accuracy_sociology": 0.7272727272727273,
      "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
      "mmlu_eval_accuracy_virology": 0.5,
      "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
      "mmlu_loss": 1.1609547404528597,
      "step": 1200
    },
    {
      "epoch": 2.78,
      "learning_rate": 0.0002,
      "loss": 0.5819,
      "step": 1210
    },
    {
      "epoch": 2.8,
      "learning_rate": 0.0002,
      "loss": 0.5756,
      "step": 1220
    },
    {
      "epoch": 2.83,
      "learning_rate": 0.0002,
      "loss": 0.5345,
      "step": 1230
    },
    {
      "epoch": 2.85,
      "learning_rate": 0.0002,
      "loss": 0.5642,
      "step": 1240
    },
    {
      "epoch": 2.87,
      "learning_rate": 0.0002,
      "loss": 0.5226,
      "step": 1250
    },
    {
      "epoch": 2.9,
      "learning_rate": 0.0002,
      "loss": 0.5812,
      "step": 1260
    },
    {
      "epoch": 2.92,
      "learning_rate": 0.0002,
      "loss": 0.5701,
      "step": 1270
    },
    {
      "epoch": 2.94,
      "learning_rate": 0.0002,
      "loss": 0.5534,
      "step": 1280
    },
    {
      "epoch": 2.97,
      "learning_rate": 0.0002,
      "loss": 0.526,
      "step": 1290
    },
    {
      "epoch": 2.99,
      "learning_rate": 0.0002,
      "loss": 0.5366,
      "step": 1300
    },
    {
      "epoch": 3.01,
      "learning_rate": 0.0002,
      "loss": 0.4988,
      "step": 1310
    },
    {
      "epoch": 3.03,
      "learning_rate": 0.0002,
      "loss": 0.4567,
      "step": 1320
    },
    {
      "epoch": 3.06,
      "learning_rate": 0.0002,
      "loss": 0.4366,
      "step": 1330
    },
    {
      "epoch": 3.08,
      "learning_rate": 0.0002,
      "loss": 0.4387,
      "step": 1340
    },
    {
      "epoch": 3.1,
      "learning_rate": 0.0002,
      "loss": 0.3887,
      "step": 1350
    },
    {
      "epoch": 3.13,
      "learning_rate": 0.0002,
      "loss": 0.4344,
      "step": 1360
    },
    {
      "epoch": 3.15,
      "learning_rate": 0.0002,
      "loss": 0.4543,
      "step": 1370
    },
    {
      "epoch": 3.17,
      "learning_rate": 0.0002,
      "loss": 0.4104,
      "step": 1380
    },
    {
      "epoch": 3.2,
      "learning_rate": 0.0002,
      "loss": 0.4564,
      "step": 1390
    },
    {
      "epoch": 3.22,
      "learning_rate": 0.0002,
      "loss": 0.4217,
      "step": 1400
    },
    {
      "epoch": 3.22,
      "eval_loss": 0.7734031081199646,
      "eval_runtime": 248.2207,
      "eval_samples_per_second": 4.029,
      "eval_steps_per_second": 2.014,
      "step": 1400
    },
    {
      "epoch": 3.22,
      "mmlu_eval_accuracy": 0.4660104484440945,
      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
      "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
      "mmlu_eval_accuracy_astronomy": 0.375,
      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
      "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": 0.36363636363636365,
      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
      "mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
      "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
      "mmlu_eval_accuracy_electrical_engineering": 0.4375,
      "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
      "mmlu_eval_accuracy_global_facts": 0.4,
      "mmlu_eval_accuracy_high_school_biology": 0.34375,
      "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453,
      "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": 0.6666666666666666,
      "mmlu_eval_accuracy_high_school_macroeconomics": 0.27906976744186046,
      "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
      "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": 0.7272727272727273,
      "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539,
      "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
      "mmlu_eval_accuracy_human_sexuality": 0.5,
      "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": 0.72,
      "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364,
      "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512,
      "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316,
      "mmlu_eval_accuracy_moral_scenarios": 0.24,
      "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
      "mmlu_eval_accuracy_philosophy": 0.38235294117647056,
      "mmlu_eval_accuracy_prehistory": 0.4,
      "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
      "mmlu_eval_accuracy_professional_law": 0.3411764705882353,
      "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744,
      "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754,
      "mmlu_eval_accuracy_public_relations": 0.5,
      "mmlu_eval_accuracy_security_studies": 0.4074074074074074,
      "mmlu_eval_accuracy_sociology": 0.6818181818181818,
      "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
      "mmlu_eval_accuracy_virology": 0.5,
      "mmlu_eval_accuracy_world_religions": 0.7894736842105263,
      "mmlu_loss": 1.0775621755841351,
      "step": 1400
    }
  ],
  "max_steps": 5000,
  "num_train_epochs": 12,
  "total_flos": 3.3098129260712755e+17,
  "trial_name": null,
  "trial_params": null
}