{ "best_metric": 0.545791745185852, "best_model_checkpoint": "./output_v2/7b_cluster016_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_016/checkpoint-800", "epoch": 1.3366750208855471, "global_step": 800, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 0.0002, "loss": 0.6709, "step": 10 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 0.6086, "step": 20 }, { "epoch": 0.05, "learning_rate": 0.0002, "loss": 0.6457, "step": 30 }, { "epoch": 0.07, "learning_rate": 0.0002, "loss": 0.5722, "step": 40 }, { "epoch": 0.08, "learning_rate": 0.0002, "loss": 0.6039, "step": 50 }, { "epoch": 0.1, "learning_rate": 0.0002, "loss": 0.6079, "step": 60 }, { "epoch": 0.12, "learning_rate": 0.0002, "loss": 0.6261, "step": 70 }, { "epoch": 0.13, "learning_rate": 0.0002, "loss": 0.5876, "step": 80 }, { "epoch": 0.15, "learning_rate": 0.0002, "loss": 0.5645, "step": 90 }, { "epoch": 0.17, "learning_rate": 0.0002, "loss": 0.5902, "step": 100 }, { "epoch": 0.18, "learning_rate": 0.0002, "loss": 0.6008, "step": 110 }, { "epoch": 0.2, "learning_rate": 0.0002, "loss": 0.588, "step": 120 }, { "epoch": 0.22, "learning_rate": 0.0002, "loss": 0.6001, "step": 130 }, { "epoch": 0.23, "learning_rate": 0.0002, "loss": 0.5684, "step": 140 }, { "epoch": 0.25, "learning_rate": 0.0002, "loss": 0.5776, "step": 150 }, { "epoch": 0.27, "learning_rate": 0.0002, "loss": 0.5482, "step": 160 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 0.5759, "step": 170 }, { "epoch": 0.3, "learning_rate": 0.0002, "loss": 0.5736, "step": 180 }, { "epoch": 0.32, "learning_rate": 0.0002, "loss": 0.5417, "step": 190 }, { "epoch": 0.33, "learning_rate": 0.0002, "loss": 0.5581, "step": 200 }, { "epoch": 0.33, "eval_loss": 0.5835912227630615, "eval_runtime": 210.8375, "eval_samples_per_second": 4.743, "eval_steps_per_second": 2.371, "step": 200 }, { "epoch": 0.33, "mmlu_eval_accuracy": 0.46615455952712886, "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "mmlu_eval_accuracy_college_biology": 0.5, "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": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "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": 0.34375, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, "mmlu_eval_accuracy_high_school_european_history": 0.5, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, "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": 0.7, "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": 0.5, "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": 0.45454545454545453, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, "mmlu_eval_accuracy_moral_scenarios": 0.23, "mmlu_eval_accuracy_nutrition": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.4411764705882353, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, "mmlu_eval_accuracy_professional_law": 0.3352941176470588, "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "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": 0.7368421052631579, "mmlu_loss": 1.1704803334048148, "step": 200 }, { "epoch": 0.35, "learning_rate": 0.0002, "loss": 0.5413, "step": 210 }, { "epoch": 0.37, "learning_rate": 0.0002, "loss": 0.5632, "step": 220 }, { "epoch": 0.38, "learning_rate": 0.0002, "loss": 0.5752, "step": 230 }, { "epoch": 0.4, "learning_rate": 0.0002, "loss": 0.5583, "step": 240 }, { "epoch": 0.42, "learning_rate": 0.0002, "loss": 0.5274, "step": 250 }, { "epoch": 0.43, "learning_rate": 0.0002, "loss": 0.6163, "step": 260 }, { "epoch": 0.45, "learning_rate": 0.0002, "loss": 0.5673, "step": 270 }, { "epoch": 0.47, "learning_rate": 0.0002, "loss": 0.5241, "step": 280 }, { "epoch": 0.48, "learning_rate": 0.0002, "loss": 0.5564, "step": 290 }, { "epoch": 0.5, "learning_rate": 0.0002, "loss": 0.5451, "step": 300 }, { "epoch": 0.52, "learning_rate": 0.0002, "loss": 0.5661, "step": 310 }, { "epoch": 0.53, "learning_rate": 0.0002, "loss": 0.5467, "step": 320 }, { "epoch": 0.55, "learning_rate": 0.0002, "loss": 0.5513, "step": 330 }, { "epoch": 0.57, "learning_rate": 0.0002, "loss": 0.5999, "step": 340 }, { "epoch": 0.58, "learning_rate": 0.0002, "loss": 0.5518, "step": 350 }, { "epoch": 0.6, "learning_rate": 0.0002, "loss": 0.4896, "step": 360 }, { "epoch": 0.62, "learning_rate": 0.0002, "loss": 0.5314, "step": 370 }, { "epoch": 0.63, "learning_rate": 0.0002, "loss": 0.5495, "step": 380 }, { "epoch": 0.65, "learning_rate": 0.0002, "loss": 0.553, "step": 390 }, { "epoch": 0.67, "learning_rate": 0.0002, "loss": 0.5324, "step": 400 }, { "epoch": 0.67, "eval_loss": 0.5613595843315125, "eval_runtime": 210.7546, "eval_samples_per_second": 4.745, "eval_steps_per_second": 2.372, "step": 400 }, { "epoch": 0.67, "mmlu_eval_accuracy": 0.47295524277138523, "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": 0.125, "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "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": 0.34375, "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": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, "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": 0.391304347826087, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.5, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, "mmlu_eval_accuracy_management": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.76, "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": 0.6060606060606061, "mmlu_eval_accuracy_philosophy": 0.47058823529411764, "mmlu_eval_accuracy_prehistory": 0.4857142857142857, "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, "mmlu_eval_accuracy_professional_law": 0.35294117647058826, "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, "mmlu_eval_accuracy_public_relations": 0.5, "mmlu_eval_accuracy_security_studies": 0.48148148148148145, "mmlu_eval_accuracy_sociology": 0.6363636363636364, "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, "mmlu_eval_accuracy_virology": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.1208655159366037, "step": 400 }, { "epoch": 0.69, "learning_rate": 0.0002, "loss": 0.5643, "step": 410 }, { "epoch": 0.7, "learning_rate": 0.0002, "loss": 0.5243, "step": 420 }, { "epoch": 0.72, "learning_rate": 0.0002, "loss": 0.5433, "step": 430 }, { "epoch": 0.74, "learning_rate": 0.0002, "loss": 0.5584, "step": 440 }, { "epoch": 0.75, "learning_rate": 0.0002, "loss": 0.5438, "step": 450 }, { "epoch": 0.77, "learning_rate": 0.0002, "loss": 0.5203, "step": 460 }, { "epoch": 0.79, "learning_rate": 0.0002, "loss": 0.5328, "step": 470 }, { "epoch": 0.8, "learning_rate": 0.0002, "loss": 0.5204, "step": 480 }, { "epoch": 0.82, "learning_rate": 0.0002, "loss": 0.5194, "step": 490 }, { "epoch": 0.84, "learning_rate": 0.0002, "loss": 0.5325, "step": 500 }, { "epoch": 0.85, "learning_rate": 0.0002, "loss": 0.5407, "step": 510 }, { "epoch": 0.87, "learning_rate": 0.0002, "loss": 0.4747, "step": 520 }, { "epoch": 0.89, "learning_rate": 0.0002, "loss": 0.5048, "step": 530 }, { "epoch": 0.9, "learning_rate": 0.0002, "loss": 0.5533, "step": 540 }, { "epoch": 0.92, "learning_rate": 0.0002, "loss": 0.5219, "step": 550 }, { "epoch": 0.94, "learning_rate": 0.0002, "loss": 0.5357, "step": 560 }, { "epoch": 0.95, "learning_rate": 0.0002, "loss": 0.5327, "step": 570 }, { "epoch": 0.97, "learning_rate": 0.0002, "loss": 0.492, "step": 580 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 0.5312, "step": 590 }, { "epoch": 1.0, "learning_rate": 0.0002, "loss": 0.5238, "step": 600 }, { "epoch": 1.0, "eval_loss": 0.5487588047981262, "eval_runtime": 211.0529, "eval_samples_per_second": 4.738, "eval_steps_per_second": 2.369, "step": 600 }, { "epoch": 1.0, "mmlu_eval_accuracy": 0.4657057894438228, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.4375, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "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": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.36363636363636365, "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.4375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.34375, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.6666666666666666, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, "mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156, "mmlu_eval_accuracy_human_aging": 0.6521739130434783, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, "mmlu_eval_accuracy_international_law": 0.8461538461538461, "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, "mmlu_eval_accuracy_management": 0.7272727272727273, "mmlu_eval_accuracy_marketing": 0.76, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.24, "mmlu_eval_accuracy_nutrition": 0.5757575757575758, "mmlu_eval_accuracy_philosophy": 0.5, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, "mmlu_eval_accuracy_professional_law": 0.3352941176470588, "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, "mmlu_eval_accuracy_public_relations": 0.5833333333333334, "mmlu_eval_accuracy_security_studies": 0.5185185185185185, "mmlu_eval_accuracy_sociology": 0.6818181818181818, "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.7368421052631579, "mmlu_loss": 1.2064378902744064, "step": 600 }, { "epoch": 1.02, "learning_rate": 0.0002, "loss": 0.4304, "step": 610 }, { "epoch": 1.04, "learning_rate": 0.0002, "loss": 0.466, "step": 620 }, { "epoch": 1.05, "learning_rate": 0.0002, "loss": 0.4934, "step": 630 }, { "epoch": 1.07, "learning_rate": 0.0002, "loss": 0.4605, "step": 640 }, { "epoch": 1.09, "learning_rate": 0.0002, "loss": 0.4799, "step": 650 }, { "epoch": 1.1, "learning_rate": 0.0002, "loss": 0.4572, "step": 660 }, { "epoch": 1.12, "learning_rate": 0.0002, "loss": 0.4398, "step": 670 }, { "epoch": 1.14, "learning_rate": 0.0002, "loss": 0.4673, "step": 680 }, { "epoch": 1.15, "learning_rate": 0.0002, "loss": 0.5008, "step": 690 }, { "epoch": 1.17, "learning_rate": 0.0002, "loss": 0.4832, "step": 700 }, { "epoch": 1.19, "learning_rate": 0.0002, "loss": 0.4558, "step": 710 }, { "epoch": 1.2, "learning_rate": 0.0002, "loss": 0.4661, "step": 720 }, { "epoch": 1.22, "learning_rate": 0.0002, "loss": 0.4483, "step": 730 }, { "epoch": 1.24, "learning_rate": 0.0002, "loss": 0.5047, "step": 740 }, { "epoch": 1.25, "learning_rate": 0.0002, "loss": 0.479, "step": 750 }, { "epoch": 1.27, "learning_rate": 0.0002, "loss": 0.4975, "step": 760 }, { "epoch": 1.29, "learning_rate": 0.0002, "loss": 0.4797, "step": 770 }, { "epoch": 1.3, "learning_rate": 0.0002, "loss": 0.4884, "step": 780 }, { "epoch": 1.32, "learning_rate": 0.0002, "loss": 0.4631, "step": 790 }, { "epoch": 1.34, "learning_rate": 0.0002, "loss": 0.4541, "step": 800 }, { "epoch": 1.34, "eval_loss": 0.545791745185852, "eval_runtime": 211.0641, "eval_samples_per_second": 4.738, "eval_steps_per_second": 2.369, "step": 800 }, { "epoch": 1.34, "mmlu_eval_accuracy": 0.46218071540689526, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5, "mmlu_eval_accuracy_astronomy": 0.375, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, "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": 0.3181818181818182, "mmlu_eval_accuracy_college_physics": 0.45454545454545453, "mmlu_eval_accuracy_computer_security": 0.2727272727272727, "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, "mmlu_eval_accuracy_econometrics": 0.16666666666666666, "mmlu_eval_accuracy_electrical_engineering": 0.375, "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, "mmlu_eval_accuracy_global_facts": 0.5, "mmlu_eval_accuracy_high_school_biology": 0.40625, "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, "mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333, "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, "mmlu_eval_accuracy_human_aging": 0.6956521739130435, "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, "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": 0.6363636363636364, "mmlu_eval_accuracy_marketing": 0.72, "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316, "mmlu_eval_accuracy_moral_scenarios": 0.23, "mmlu_eval_accuracy_nutrition": 0.6363636363636364, "mmlu_eval_accuracy_philosophy": 0.5294117647058824, "mmlu_eval_accuracy_prehistory": 0.45714285714285713, "mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, "mmlu_eval_accuracy_professional_law": 0.3588235294117647, "mmlu_eval_accuracy_professional_medicine": 0.3548387096774194, "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": 0.4444444444444444, "mmlu_eval_accuracy_world_religions": 0.7894736842105263, "mmlu_loss": 1.1216171698610715, "step": 800 } ], "max_steps": 5000, "num_train_epochs": 9, "total_flos": 1.9806458895006106e+17, "trial_name": null, "trial_params": null }