{ "best_metric": 0.7417653799057007, "best_model_checkpoint": "experts/expert-16/checkpoint-2000", "epoch": 0.6337135614702155, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.0002, "loss": 0.8339, "step": 10 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8289, "step": 20 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.9041, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, "loss": 0.8491, "step": 40 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.8151, "step": 50 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.79, "step": 60 }, { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.7835, "step": 70 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8831, "step": 80 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8607, "step": 90 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.7876, "step": 100 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.8031, "step": 110 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.8207, "step": 120 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.807, "step": 130 }, { "epoch": 0.04, "learning_rate": 0.0002, "loss": 0.9262, "step": 140 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7964, "step": 150 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7879, "step": 160 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.7587, "step": 170 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8091, "step": 180 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8615, "step": 190 }, { "epoch": 0.06, "learning_rate": 0.0002, "loss": 0.8672, "step": 200 }, { "epoch": 0.06, "eval_loss": 0.7779108881950378, "eval_runtime": 110.9863, "eval_samples_per_second": 9.01, "eval_steps_per_second": 4.505, "step": 200 }, { "epoch": 0.06, "mmlu_eval_accuracy": 0.4744171116325413, "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, "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": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "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": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.27, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "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": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.5868234255450824, "step": 200 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8316, "step": 210 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8454, "step": 220 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.8434, "step": 230 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.821, "step": 240 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.7893, "step": 250 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.8242, "step": 260 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8128, "step": 270 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8344, "step": 280 }, { "epoch": 0.09, "learning_rate": 0.0002, "loss": 0.8338, "step": 290 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7981, "step": 300 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.781, "step": 310 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.7717, "step": 320 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.767, "step": 330 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7925, "step": 340 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.8226, "step": 350 }, { "epoch": 0.11, "learning_rate": 0.0002, "loss": 0.7912, "step": 360 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.8093, "step": 370 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7648, "step": 380 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.7866, "step": 390 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.7976, "step": 400 }, { "epoch": 0.13, "eval_loss": 0.7656086683273315, "eval_runtime": 110.9802, "eval_samples_per_second": 9.011, "eval_steps_per_second": 4.505, "step": 400 }, { "epoch": 0.13, "mmlu_eval_accuracy": 0.47124130233512024, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3058823529411765, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "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": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.4339068503199297, "step": 400 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8182, "step": 410 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.8438, "step": 420 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8184, "step": 430 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8202, "step": 440 }, { "epoch": 0.14, "learning_rate": 0.0002, "loss": 0.8264, "step": 450 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8384, "step": 460 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8372, "step": 470 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.8072, "step": 480 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8214, "step": 490 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.814, "step": 500 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.847, "step": 510 }, { "epoch": 0.16, "learning_rate": 0.0002, "loss": 0.8444, "step": 520 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8096, "step": 530 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.8496, "step": 540 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.7729, "step": 550 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7826, "step": 560 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7478, "step": 570 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.7953, "step": 580 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7363, "step": 590 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7971, "step": 600 }, { "epoch": 0.19, "eval_loss": 0.7616064548492432, "eval_runtime": 110.9404, "eval_samples_per_second": 9.014, "eval_steps_per_second": 4.507, "step": 600 }, { "epoch": 0.19, "mmlu_eval_accuracy": 0.4749850916074463, "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": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.2727272727272727, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "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": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.47619047619047616, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.26, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.5142857142857142, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "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": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.5647042619341658, "step": 600 }, { "epoch": 0.19, "learning_rate": 0.0002, "loss": 0.7936, "step": 610 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7319, "step": 620 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.79, "step": 630 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.7806, "step": 640 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8833, "step": 650 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.7711, "step": 660 }, { "epoch": 0.21, "learning_rate": 0.0002, "loss": 0.8242, "step": 670 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7948, "step": 680 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7417, "step": 690 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.7275, "step": 700 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.8137, "step": 710 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8568, "step": 720 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.802, "step": 730 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.8202, "step": 740 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.8077, "step": 750 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.814, "step": 760 }, { "epoch": 0.24, "learning_rate": 0.0002, "loss": 0.7971, "step": 770 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.798, "step": 780 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.7806, "step": 790 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.8042, "step": 800 }, { "epoch": 0.25, "eval_loss": 0.7563537359237671, "eval_runtime": 111.023, "eval_samples_per_second": 9.007, "eval_steps_per_second": 4.504, "step": 800 }, { "epoch": 0.25, "mmlu_eval_accuracy": 0.4796267144005645, "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": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.45454545454545453, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.23, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.4411764705882353, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, "mmlu_eval_accuracy_professional_law": 0.3, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.4866046660796157, "step": 800 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8119, "step": 810 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8156, "step": 820 }, { "epoch": 0.26, "learning_rate": 0.0002, "loss": 0.8288, "step": 830 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8008, "step": 840 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8649, "step": 850 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.8242, "step": 860 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8255, "step": 870 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8467, "step": 880 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.8264, "step": 890 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.7833, "step": 900 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8338, "step": 910 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8062, "step": 920 }, { "epoch": 0.29, "learning_rate": 0.0002, "loss": 0.8112, "step": 930 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7469, "step": 940 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.7897, "step": 950 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.8081, "step": 960 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7571, "step": 970 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.8161, "step": 980 }, { "epoch": 0.31, "learning_rate": 0.0002, "loss": 0.7759, "step": 990 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.7417, "step": 1000 }, { "epoch": 0.32, "eval_loss": 0.754473865032196, "eval_runtime": 111.0233, "eval_samples_per_second": 9.007, "eval_steps_per_second": 4.504, "step": 1000 }, { "epoch": 0.32, "mmlu_eval_accuracy": 0.4749030525395577, "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": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "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": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "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": 0.4883720930232558, "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, "mmlu_eval_accuracy_high_school_microeconomics": 0.2692307692307692, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.47058823529411764, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.29411764705882354, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.8421052631578947, "mmlu_loss": 1.596783688734468, "step": 1000 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.827, "step": 1010 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.8345, "step": 1020 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7883, "step": 1030 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.7774, "step": 1040 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.8175, "step": 1050 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8, "step": 1060 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8049, "step": 1070 }, { "epoch": 0.34, "learning_rate": 0.0002, "loss": 0.8116, "step": 1080 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7852, "step": 1090 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7429, "step": 1100 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.794, "step": 1110 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.7549, "step": 1120 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7347, "step": 1130 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7482, "step": 1140 }, { "epoch": 0.36, "learning_rate": 0.0002, "loss": 0.7393, "step": 1150 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8103, "step": 1160 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.8075, "step": 1170 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.7831, "step": 1180 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.792, "step": 1190 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7955, "step": 1200 }, { "epoch": 0.38, "eval_loss": 0.7498393654823303, "eval_runtime": 110.9719, "eval_samples_per_second": 9.011, "eval_steps_per_second": 4.506, "step": 1200 }, { "epoch": 0.38, "mmlu_eval_accuracy": 0.4769718071089565, "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": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "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": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.84, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.3058823529411765, "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.6994269322166244, "step": 1200 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.7821, "step": 1210 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.8138, "step": 1220 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.717, "step": 1230 }, { "epoch": 0.39, "learning_rate": 0.0002, "loss": 0.7406, "step": 1240 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8031, "step": 1250 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.7974, "step": 1260 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.8001, "step": 1270 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.766, "step": 1280 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.7679, "step": 1290 }, { "epoch": 0.41, "learning_rate": 0.0002, "loss": 0.8017, "step": 1300 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8027, "step": 1310 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7819, "step": 1320 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.7558, "step": 1330 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.8363, "step": 1340 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.7809, "step": 1350 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8114, "step": 1360 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.8446, "step": 1370 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.7877, "step": 1380 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8309, "step": 1390 }, { "epoch": 0.44, "learning_rate": 0.0002, "loss": 0.8131, "step": 1400 }, { "epoch": 0.44, "eval_loss": 0.7500243186950684, "eval_runtime": 111.0409, "eval_samples_per_second": 9.006, "eval_steps_per_second": 4.503, "step": 1400 }, { "epoch": 0.44, "mmlu_eval_accuracy": 0.4758070782649682, "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": 0.5172413793103449, "mmlu_eval_accuracy_college_biology": 0.5, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "mmlu_eval_accuracy_college_physics": 0.2727272727272727, "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": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.42857142857142855, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, "mmlu_eval_accuracy_professional_law": 0.32941176470588235, "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.4074074074074074, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.4974891513041355, "step": 1400 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8122, "step": 1410 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.7754, "step": 1420 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.8116, "step": 1430 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7442, "step": 1440 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7638, "step": 1450 }, { "epoch": 0.46, "learning_rate": 0.0002, "loss": 0.7746, "step": 1460 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7616, "step": 1470 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.8144, "step": 1480 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.7924, "step": 1490 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8075, "step": 1500 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.769, "step": 1510 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.7296, "step": 1520 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.8284, "step": 1530 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.82, "step": 1540 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7619, "step": 1550 }, { "epoch": 0.49, "learning_rate": 0.0002, "loss": 0.7862, "step": 1560 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7835, "step": 1570 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.7624, "step": 1580 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.8021, "step": 1590 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.793, "step": 1600 }, { "epoch": 0.51, "eval_loss": 0.7459111213684082, "eval_runtime": 111.062, "eval_samples_per_second": 9.004, "eval_steps_per_second": 4.502, "step": 1600 }, { "epoch": 0.51, "mmlu_eval_accuracy": 0.46888485292306403, "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": 0.5517241379310345, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.25, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "mmlu_eval_accuracy_college_physics": 0.2727272727272727, "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": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.5454545454545454, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, "mmlu_eval_accuracy_moral_disputes": 0.5, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, "mmlu_eval_accuracy_professional_law": 0.31176470588235294, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.5909090909090909, "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, "mmlu_eval_accuracy_virology": 0.5555555555555556, "mmlu_eval_accuracy_world_religions": 0.6842105263157895, "mmlu_loss": 1.6951039852112453, "step": 1600 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7999, "step": 1610 }, { "epoch": 0.51, "learning_rate": 0.0002, "loss": 0.7959, "step": 1620 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7887, "step": 1630 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.7186, "step": 1640 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.8049, "step": 1650 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7934, "step": 1660 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.8369, "step": 1670 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.7567, "step": 1680 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.8058, "step": 1690 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7818, "step": 1700 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7115, "step": 1710 }, { "epoch": 0.54, "learning_rate": 0.0002, "loss": 0.7434, "step": 1720 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7788, "step": 1730 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7824, "step": 1740 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.7198, "step": 1750 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8059, "step": 1760 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.7892, "step": 1770 }, { "epoch": 0.56, "learning_rate": 0.0002, "loss": 0.8048, "step": 1780 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7938, "step": 1790 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.791, "step": 1800 }, { "epoch": 0.57, "eval_loss": 0.744739830493927, "eval_runtime": 111.1326, "eval_samples_per_second": 8.998, "eval_steps_per_second": 4.499, "step": 1800 }, { "epoch": 0.57, "mmlu_eval_accuracy": 0.4764276491893982, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.6428571428571429, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, "mmlu_eval_accuracy_college_biology": 0.4375, "mmlu_eval_accuracy_college_chemistry": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "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": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, "mmlu_eval_accuracy_global_facts": 0.3, "mmlu_eval_accuracy_high_school_biology": 0.375, "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, "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": 0.5238095238095238, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, "mmlu_eval_accuracy_high_school_psychology": 0.9, "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.88, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "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": 0.5882352941176471, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, "mmlu_eval_accuracy_professional_law": 0.3, "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.4444444444444444, "mmlu_eval_accuracy_sociology": 0.5909090909090909, "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.7224162761754218, "step": 1800 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.7335, "step": 1810 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7762, "step": 1820 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.75, "step": 1830 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.7875, "step": 1840 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7749, "step": 1850 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.8516, "step": 1860 }, { "epoch": 0.59, "learning_rate": 0.0002, "loss": 0.7729, "step": 1870 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7664, "step": 1880 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.802, "step": 1890 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.7791, "step": 1900 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.8041, "step": 1910 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7671, "step": 1920 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.7785, "step": 1930 }, { "epoch": 0.61, "learning_rate": 0.0002, "loss": 0.782, "step": 1940 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8032, "step": 1950 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.8065, "step": 1960 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.7713, "step": 1970 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7709, "step": 1980 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.8036, "step": 1990 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.7614, "step": 2000 }, { "epoch": 0.63, "eval_loss": 0.7417653799057007, "eval_runtime": 111.078, "eval_samples_per_second": 9.003, "eval_steps_per_second": 4.501, "step": 2000 }, { "epoch": 0.63, "mmlu_eval_accuracy": 0.4656871532254676, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.7142857142857143, "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": 0.4375, "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": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.36363636363636365, "mmlu_eval_accuracy_computer_security": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.25, "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.47619047619047616, "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, "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": 0.8333333333333334, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.6086956521739131, "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, "mmlu_eval_accuracy_international_law": 0.9230769230769231, "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727, "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.25, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.5588235294117647, "mmlu_eval_accuracy_prehistory": 0.42857142857142855, "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, "mmlu_eval_accuracy_professional_law": 0.3058823529411765, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, "mmlu_eval_accuracy_public_relations": 0.6666666666666666, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.631578947368421, "mmlu_loss": 1.632609389158204, "step": 2000 } ], "max_steps": 10000, "num_train_epochs": 4, "total_flos": 6.08829491655082e+17, "trial_name": null, "trial_params": null }