diff --git "a/checkpoint-5000/trainer_state.json" "b/checkpoint-5000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-5000/trainer_state.json" @@ -0,0 +1,4791 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.2927891780350795, + "global_step": 5000, + "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": 0.7825, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7565, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7408, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7496, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7424, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7112, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7409, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7646, + "step": 80 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7129, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7671, + "step": 100 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7166, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7113, + "step": 120 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6682, + "step": 130 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7644, + "step": 140 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6813, + "step": 150 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 160 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 170 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 180 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.681, + "step": 190 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7142, + "step": 200 + }, + { + "epoch": 0.09, + "eval_loss": 0.6789492964744568, + "eval_runtime": 280.115, + "eval_samples_per_second": 3.57, + "eval_steps_per_second": 0.892, + "step": 200 + }, + { + "epoch": 0.09, + "mmlu_eval_accuracy": 0.4601645000494307, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.2727272727272727, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.68, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.3411764705882353, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.42028985507246375, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.9642877595465115, + "step": 200 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 210 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7256, + "step": 220 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7505, + "step": 230 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.618, + "step": 240 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6726, + "step": 250 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 260 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6982, + "step": 270 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 280 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.699, + "step": 290 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6867, + "step": 300 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 310 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7141, + "step": 320 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6483, + "step": 330 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6532, + "step": 340 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 350 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 360 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 370 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 380 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6844, + "step": 390 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6797, + "step": 400 + }, + { + "epoch": 0.18, + "eval_loss": 0.6707000732421875, + "eval_runtime": 280.204, + "eval_samples_per_second": 3.569, + "eval_steps_per_second": 0.892, + "step": 400 + }, + { + "epoch": 0.18, + "mmlu_eval_accuracy": 0.4521886129310749, + "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": 0.41379310344827586, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.2727272727272727, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.3411764705882353, + "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": 0.5185185185185185, + "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": 0.7368421052631579, + "mmlu_loss": 0.92568634446545, + "step": 400 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7059, + "step": 410 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.79, + "step": 420 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7714, + "step": 430 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.644, + "step": 440 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7102, + "step": 450 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6229, + "step": 460 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6742, + "step": 470 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 480 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 490 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7154, + "step": 500 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 510 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6769, + "step": 520 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6663, + "step": 530 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6758, + "step": 540 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7022, + "step": 550 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 560 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 570 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7077, + "step": 580 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 590 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6203, + "step": 600 + }, + { + "epoch": 0.28, + "eval_loss": 0.664973795413971, + "eval_runtime": 280.1433, + "eval_samples_per_second": 3.57, + "eval_steps_per_second": 0.892, + "step": 600 + }, + { + "epoch": 0.28, + "mmlu_eval_accuracy": 0.44929002048717553, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "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": 0.36363636363636365, + "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": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.72, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "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": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.9583329685985575, + "step": 600 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 610 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 620 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 630 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7112, + "step": 640 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 650 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 660 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 670 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 680 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6684, + "step": 690 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7271, + "step": 700 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6683, + "step": 710 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6531, + "step": 720 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6948, + "step": 730 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 740 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 750 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 760 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6817, + "step": 770 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 780 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6869, + "step": 790 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.655, + "step": 800 + }, + { + "epoch": 0.37, + "eval_loss": 0.6593752503395081, + "eval_runtime": 280.0748, + "eval_samples_per_second": 3.57, + "eval_steps_per_second": 0.893, + "step": 800 + }, + { + "epoch": 0.37, + "mmlu_eval_accuracy": 0.46269190662697585, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "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": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, + "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, + "mmlu_eval_accuracy_moral_scenarios": 0.22, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.1274755495957856, + "step": 800 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7119, + "step": 810 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6581, + "step": 820 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6475, + "step": 830 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 840 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 850 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 860 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 870 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 880 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 890 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 900 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 910 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6921, + "step": 920 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 930 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7402, + "step": 940 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6553, + "step": 950 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 960 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7003, + "step": 970 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7082, + "step": 980 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6757, + "step": 990 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6803, + "step": 1000 + }, + { + "epoch": 0.46, + "eval_loss": 0.656200647354126, + "eval_runtime": 279.9415, + "eval_samples_per_second": 3.572, + "eval_steps_per_second": 0.893, + "step": 1000 + }, + { + "epoch": 0.46, + "mmlu_eval_accuracy": 0.46074490234022447, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "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": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.6363636363636364, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.016490816680943, + "step": 1000 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 1010 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 1020 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.721, + "step": 1030 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6696, + "step": 1040 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 1050 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 1060 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6343, + "step": 1070 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 1080 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6259, + "step": 1090 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 1100 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.705, + "step": 1110 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6445, + "step": 1120 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7156, + "step": 1130 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 1140 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6528, + "step": 1150 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 1160 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 1170 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 1180 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 1190 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6512, + "step": 1200 + }, + { + "epoch": 0.55, + "eval_loss": 0.6535513997077942, + "eval_runtime": 279.9064, + "eval_samples_per_second": 3.573, + "eval_steps_per_second": 0.893, + "step": 1200 + }, + { + "epoch": 0.55, + "mmlu_eval_accuracy": 0.4563086650055728, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "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": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "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": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.3684210526315789, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0143195821006366, + "step": 1200 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6658, + "step": 1210 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7283, + "step": 1220 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 1230 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 1240 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6574, + "step": 1250 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 1260 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7219, + "step": 1270 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6704, + "step": 1280 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6708, + "step": 1290 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 1300 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6771, + "step": 1310 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 1320 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6742, + "step": 1330 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6734, + "step": 1340 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6798, + "step": 1350 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6152, + "step": 1360 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.671, + "step": 1370 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7562, + "step": 1380 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7571, + "step": 1390 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6926, + "step": 1400 + }, + { + "epoch": 0.64, + "eval_loss": 0.6509103178977966, + "eval_runtime": 280.3444, + "eval_samples_per_second": 3.567, + "eval_steps_per_second": 0.892, + "step": 1400 + }, + { + "epoch": 0.64, + "mmlu_eval_accuracy": 0.4563542680952826, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.3411764705882353, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "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": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.092854514290085, + "step": 1400 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 1410 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6123, + "step": 1420 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6628, + "step": 1430 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7702, + "step": 1440 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7076, + "step": 1450 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.704, + "step": 1460 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6406, + "step": 1470 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.669, + "step": 1480 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 1490 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6544, + "step": 1500 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6018, + "step": 1510 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6673, + "step": 1520 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.705, + "step": 1530 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6875, + "step": 1540 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6864, + "step": 1550 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 1560 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6714, + "step": 1570 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 1580 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 1590 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.62, + "step": 1600 + }, + { + "epoch": 0.73, + "eval_loss": 0.6470592617988586, + "eval_runtime": 280.3872, + "eval_samples_per_second": 3.566, + "eval_steps_per_second": 0.892, + "step": 1600 + }, + { + "epoch": 0.73, + "mmlu_eval_accuracy": 0.448089860540604, + "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": 0.41379310344827586, + "mmlu_eval_accuracy_college_biology": 0.3125, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "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": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "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": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.3411764705882353, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.42028985507246375, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 0.9696583512090827, + "step": 1600 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 1610 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6225, + "step": 1620 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7043, + "step": 1630 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 1640 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6424, + "step": 1650 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.641, + "step": 1660 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6494, + "step": 1670 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 1680 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 1690 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6706, + "step": 1700 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6993, + "step": 1710 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 1720 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 1730 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7194, + "step": 1740 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6669, + "step": 1750 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6482, + "step": 1760 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.681, + "step": 1770 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 1780 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6948, + "step": 1790 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 1800 + }, + { + "epoch": 0.83, + "eval_loss": 0.6446049809455872, + "eval_runtime": 280.3145, + "eval_samples_per_second": 3.567, + "eval_steps_per_second": 0.892, + "step": 1800 + }, + { + "epoch": 0.83, + "mmlu_eval_accuracy": 0.45510585655253843, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7, + "mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "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": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.3235294117647059, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 0.9942787007936921, + "step": 1800 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7031, + "step": 1810 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6805, + "step": 1820 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6863, + "step": 1830 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 1840 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6927, + "step": 1850 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6175, + "step": 1860 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 1870 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6336, + "step": 1880 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6401, + "step": 1890 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7285, + "step": 1900 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 1910 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6468, + "step": 1920 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 1930 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6919, + "step": 1940 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6298, + "step": 1950 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6582, + "step": 1960 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6691, + "step": 1970 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 1980 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.669, + "step": 1990 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6456, + "step": 2000 + }, + { + "epoch": 0.92, + "eval_loss": 0.6425969004631042, + "eval_runtime": 280.0301, + "eval_samples_per_second": 3.571, + "eval_steps_per_second": 0.893, + "step": 2000 + }, + { + "epoch": 0.92, + "mmlu_eval_accuracy": 0.46047223663644893, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.0, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "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": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.3076923076923077, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.3333333333333333, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "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": 1.0820855114696541, + "step": 2000 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6321, + "step": 2010 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 2020 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 2030 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6603, + "step": 2040 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 2050 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 2060 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 2070 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6703, + "step": 2080 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6605, + "step": 2090 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 2100 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5815, + "step": 2110 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 2120 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6801, + "step": 2130 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 2140 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7189, + "step": 2150 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6318, + "step": 2160 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6137, + "step": 2170 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 2180 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 2190 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5541, + "step": 2200 + }, + { + "epoch": 1.01, + "eval_loss": 0.6430545449256897, + "eval_runtime": 280.4147, + "eval_samples_per_second": 3.566, + "eval_steps_per_second": 0.892, + "step": 2200 + }, + { + "epoch": 1.01, + "mmlu_eval_accuracy": 0.4584028242608573, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.3125, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "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": 0.2682926829268293, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "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": 1.0568978693093083, + "step": 2200 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 2210 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 2220 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5869, + "step": 2230 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 2240 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 2250 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5647, + "step": 2260 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5847, + "step": 2270 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6367, + "step": 2280 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 2290 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 2300 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5427, + "step": 2310 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 2320 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 2330 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 2340 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6072, + "step": 2350 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5772, + "step": 2360 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6005, + "step": 2370 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5758, + "step": 2380 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6146, + "step": 2390 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6002, + "step": 2400 + }, + { + "epoch": 1.1, + "eval_loss": 0.6426622271537781, + "eval_runtime": 280.2067, + "eval_samples_per_second": 3.569, + "eval_steps_per_second": 0.892, + "step": 2400 + }, + { + "epoch": 1.1, + "mmlu_eval_accuracy": 0.4610174096166174, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.45454545454545453, + "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": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "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": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, + "mmlu_eval_accuracy_virology": 0.6666666666666666, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.061111478908255, + "step": 2400 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 2410 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6418, + "step": 2420 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 2430 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5279, + "step": 2440 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6398, + "step": 2450 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5968, + "step": 2460 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 2470 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 2480 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5437, + "step": 2490 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 2500 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4753, + "step": 2510 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 2520 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 2530 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5956, + "step": 2540 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6124, + "step": 2550 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6181, + "step": 2560 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.6387, + "step": 2570 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 2580 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6258, + "step": 2590 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6032, + "step": 2600 + }, + { + "epoch": 1.19, + "eval_loss": 0.6423451900482178, + "eval_runtime": 280.312, + "eval_samples_per_second": 3.567, + "eval_steps_per_second": 0.892, + "step": 2600 + }, + { + "epoch": 1.19, + "mmlu_eval_accuracy": 0.4612227123416292, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.45454545454545453, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "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": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.6666666666666666, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.2192327713219366, + "step": 2600 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5307, + "step": 2610 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5679, + "step": 2620 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 2630 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 2640 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 2650 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5641, + "step": 2660 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 2670 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 2680 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 2690 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6145, + "step": 2700 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 2710 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6128, + "step": 2720 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 2730 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 2740 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 2750 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 2760 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 2770 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5817, + "step": 2780 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5914, + "step": 2790 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 2800 + }, + { + "epoch": 1.28, + "eval_loss": 0.6401032209396362, + "eval_runtime": 280.2076, + "eval_samples_per_second": 3.569, + "eval_steps_per_second": 0.892, + "step": 2800 + }, + { + "epoch": 1.28, + "mmlu_eval_accuracy": 0.4665971182546491, + "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": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.3125, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, + "mmlu_eval_accuracy_professional_law": 0.3235294117647059, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "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": 0.6842105263157895, + "mmlu_loss": 1.120126581145329, + "step": 2800 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 2810 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 2820 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5906, + "step": 2830 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 2840 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 2850 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 2860 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 2870 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6135, + "step": 2880 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5768, + "step": 2890 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 2900 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5605, + "step": 2910 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6134, + "step": 2920 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5716, + "step": 2930 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5686, + "step": 2940 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5698, + "step": 2950 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 2960 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6123, + "step": 2970 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 2980 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 2990 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5736, + "step": 3000 + }, + { + "epoch": 1.38, + "eval_loss": 0.6404744386672974, + "eval_runtime": 280.4678, + "eval_samples_per_second": 3.565, + "eval_steps_per_second": 0.891, + "step": 3000 + }, + { + "epoch": 1.38, + "mmlu_eval_accuracy": 0.46822206401347793, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "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": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "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": 0.7272727272727273, + "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": 0.34615384615384615, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.84, + "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": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.3352941176470588, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.6666666666666666, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0331950397777807, + "step": 3000 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 3010 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 3020 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6701, + "step": 3030 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6524, + "step": 3040 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6458, + "step": 3050 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6275, + "step": 3060 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5743, + "step": 3070 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 3080 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 3090 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5913, + "step": 3100 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 3110 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5795, + "step": 3120 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 3130 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 3140 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6453, + "step": 3150 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 3160 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6175, + "step": 3170 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6131, + "step": 3180 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5926, + "step": 3190 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5722, + "step": 3200 + }, + { + "epoch": 1.47, + "eval_loss": 0.6387373208999634, + "eval_runtime": 280.1311, + "eval_samples_per_second": 3.57, + "eval_steps_per_second": 0.892, + "step": 3200 + }, + { + "epoch": 1.47, + "mmlu_eval_accuracy": 0.46230841034551773, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.45454545454545453, + "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": 0.46153846153846156, + "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": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.48484848484848486, + "mmlu_eval_accuracy_philosophy": 0.4411764705882353, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.16129032258064516, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.1042568252541067, + "step": 3200 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5951, + "step": 3210 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 3220 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 3230 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5846, + "step": 3240 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5802, + "step": 3250 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 3260 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5526, + "step": 3270 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 3280 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5702, + "step": 3290 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 3300 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6392, + "step": 3310 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6377, + "step": 3320 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 3330 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 3340 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 3350 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 3360 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5736, + "step": 3370 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 3380 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 3390 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 3400 + }, + { + "epoch": 1.56, + "eval_loss": 0.6362296342849731, + "eval_runtime": 280.2373, + "eval_samples_per_second": 3.568, + "eval_steps_per_second": 0.892, + "step": 3400 + }, + { + "epoch": 1.56, + "mmlu_eval_accuracy": 0.4647485055195569, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "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": 0.5, + "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": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "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": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "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": 0.23, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.47058823529411764, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.1746269385901817, + "step": 3400 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 3410 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5635, + "step": 3420 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6605, + "step": 3430 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 3440 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6782, + "step": 3450 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5765, + "step": 3460 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 3470 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5401, + "step": 3480 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 3490 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5735, + "step": 3500 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.582, + "step": 3510 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 3520 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5595, + "step": 3530 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 3540 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6052, + "step": 3550 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5709, + "step": 3560 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 3570 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 3580 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5658, + "step": 3590 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5656, + "step": 3600 + }, + { + "epoch": 1.65, + "eval_loss": 0.6360633373260498, + "eval_runtime": 280.327, + "eval_samples_per_second": 3.567, + "eval_steps_per_second": 0.892, + "step": 3600 + }, + { + "epoch": 1.65, + "mmlu_eval_accuracy": 0.4670238064036189, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "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": 0.5, + "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": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.40625, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "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": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.1132205398680335, + "step": 3600 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6276, + "step": 3610 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6323, + "step": 3620 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 3630 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5642, + "step": 3640 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5711, + "step": 3650 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5993, + "step": 3660 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 3670 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.563, + "step": 3680 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.596, + "step": 3690 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 3700 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6199, + "step": 3710 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 3720 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 3730 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6058, + "step": 3740 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 3750 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6011, + "step": 3760 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5893, + "step": 3770 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6483, + "step": 3780 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5913, + "step": 3790 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5322, + "step": 3800 + }, + { + "epoch": 1.74, + "eval_loss": 0.6353000998497009, + "eval_runtime": 280.5271, + "eval_samples_per_second": 3.565, + "eval_steps_per_second": 0.891, + "step": 3800 + }, + { + "epoch": 1.74, + "mmlu_eval_accuracy": 0.46750017743658395, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "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": 0.45454545454545453, + "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": 0.23, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, + "mmlu_eval_accuracy_professional_law": 0.35294117647058826, + "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": 0.5185185185185185, + "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": 1.070239568853814, + "step": 3800 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 3810 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 3820 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 3830 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5955, + "step": 3840 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 3850 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 3860 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5579, + "step": 3870 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5865, + "step": 3880 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6022, + "step": 3890 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 3900 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5624, + "step": 3910 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 3920 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5943, + "step": 3930 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5496, + "step": 3940 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5771, + "step": 3950 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6151, + "step": 3960 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 3970 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5719, + "step": 3980 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 3990 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6044, + "step": 4000 + }, + { + "epoch": 1.83, + "eval_loss": 0.6325770616531372, + "eval_runtime": 280.5708, + "eval_samples_per_second": 3.564, + "eval_steps_per_second": 0.891, + "step": 4000 + }, + { + "epoch": 1.83, + "mmlu_eval_accuracy": 0.4611658414388823, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.18181818181818182, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.40625, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, + "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": 0.3953488372093023, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "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": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0810895582014213, + "step": 4000 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6307, + "step": 4010 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 4020 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 4030 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5467, + "step": 4040 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 4050 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6648, + "step": 4060 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5678, + "step": 4070 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 4080 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5805, + "step": 4090 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 4100 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5578, + "step": 4110 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 4120 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5417, + "step": 4130 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 4140 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 4150 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 4160 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6095, + "step": 4170 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6463, + "step": 4180 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 4190 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6056, + "step": 4200 + }, + { + "epoch": 1.93, + "eval_loss": 0.6331906318664551, + "eval_runtime": 280.4265, + "eval_samples_per_second": 3.566, + "eval_steps_per_second": 0.891, + "step": 4200 + }, + { + "epoch": 1.93, + "mmlu_eval_accuracy": 0.4609309473409732, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.375, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.18181818181818182, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.5909090909090909, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "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": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.36363636363636365, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.23, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, + "mmlu_eval_accuracy_professional_law": 0.3235294117647059, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0435151180772806, + "step": 4200 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5594, + "step": 4210 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6279, + "step": 4220 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5825, + "step": 4230 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5871, + "step": 4240 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6028, + "step": 4250 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6103, + "step": 4260 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 4270 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5472, + "step": 4280 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 4290 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5651, + "step": 4300 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 4310 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5753, + "step": 4320 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 4330 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5293, + "step": 4340 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6092, + "step": 4350 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5989, + "step": 4360 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5299, + "step": 4370 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5254, + "step": 4380 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5061, + "step": 4390 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.574, + "step": 4400 + }, + { + "epoch": 2.02, + "eval_loss": 0.6471251249313354, + "eval_runtime": 280.847, + "eval_samples_per_second": 3.561, + "eval_steps_per_second": 0.89, + "step": 4400 + }, + { + "epoch": 2.02, + "mmlu_eval_accuracy": 0.45887541014294947, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.18181818181818182, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.2727272727272727, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.09090909090909091, + "mmlu_eval_accuracy_management": 0.36363636363636365, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.25, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.16129032258064516, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.3548387096774194, + "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0578539680796566, + "step": 4400 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4922, + "step": 4410 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 4420 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 4430 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 4440 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4655, + "step": 4450 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 4460 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5206, + "step": 4470 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4852, + "step": 4480 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 4490 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 4500 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 4510 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4689, + "step": 4520 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5014, + "step": 4530 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 4540 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 4550 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5295, + "step": 4560 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4993, + "step": 4570 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4791, + "step": 4580 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5182, + "step": 4590 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4899, + "step": 4600 + }, + { + "epoch": 2.11, + "eval_loss": 0.6475496888160706, + "eval_runtime": 280.6894, + "eval_samples_per_second": 3.563, + "eval_steps_per_second": 0.891, + "step": 4600 + }, + { + "epoch": 2.11, + "mmlu_eval_accuracy": 0.46259496802063466, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "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": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.6923076923076923, + "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.36363636363636365, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "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": 0.6842105263157895, + "mmlu_loss": 1.1491623614615623, + "step": 4600 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4996, + "step": 4610 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4799, + "step": 4620 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5157, + "step": 4630 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.5925, + "step": 4640 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 4650 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.505, + "step": 4660 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 4670 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5324, + "step": 4680 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5162, + "step": 4690 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5679, + "step": 4700 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5025, + "step": 4710 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.486, + "step": 4720 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4894, + "step": 4730 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 4740 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 4750 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 4760 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 4770 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4768, + "step": 4780 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.5242, + "step": 4790 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 4800 + }, + { + "epoch": 2.2, + "eval_loss": 0.6479312777519226, + "eval_runtime": 280.2948, + "eval_samples_per_second": 3.568, + "eval_steps_per_second": 0.892, + "step": 4800 + }, + { + "epoch": 2.2, + "mmlu_eval_accuracy": 0.4632715020380475, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.375, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "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": 0.2727272727272727, + "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": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.4230769230769231, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5151515151515151, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, + "mmlu_eval_accuracy_professional_law": 0.3176470588235294, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.34782608695652173, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.1692755434749642, + "step": 4800 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 4810 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 4820 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 4830 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4923, + "step": 4840 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5287, + "step": 4850 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5268, + "step": 4860 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5215, + "step": 4870 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 4880 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5312, + "step": 4890 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4985, + "step": 4900 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 4910 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 4920 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 4930 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4963, + "step": 4940 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5233, + "step": 4950 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4975, + "step": 4960 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 4970 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4733, + "step": 4980 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 4990 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4907, + "step": 5000 + }, + { + "epoch": 2.29, + "eval_loss": 0.6514151692390442, + "eval_runtime": 280.4293, + "eval_samples_per_second": 3.566, + "eval_steps_per_second": 0.891, + "step": 5000 + }, + { + "epoch": 2.29, + "mmlu_eval_accuracy": 0.45661868552022616, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.3125, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.18181818181818182, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.34375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.4117647058823529, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.5, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, + "mmlu_eval_accuracy_management": 0.45454545454545453, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, + "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.16129032258064516, + "mmlu_eval_accuracy_professional_law": 0.3352941176470588, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.30434782608695654, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0593512737564257, + "step": 5000 + } + ], + "max_steps": 5000, + "num_train_epochs": 3, + "total_flos": 1.4333490626195128e+18, + "trial_name": null, + "trial_params": null +}