Nous-Hermes-llama-2-7b_7b_cluster026_partitioned_v3_standardized_026
/
checkpoint-2000
/trainer_state.json
| { | |
| "best_metric": 0.46646037697792053, | |
| "best_model_checkpoint": "./output_v2/7b_cluster026_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_026/checkpoint-1800", | |
| "epoch": 2.1080368906455864, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.723, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6175, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5857, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.573, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5669, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5417, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5666, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6158, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5122, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5559, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5341, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5098, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5355, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4967, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5619, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5401, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4559, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5469, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4936, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5205, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_loss": 0.526250958442688, | |
| "eval_runtime": 127.7705, | |
| "eval_samples_per_second": 7.827, | |
| "eval_steps_per_second": 3.913, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "mmlu_eval_accuracy": 0.4451746082548338, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
| "mmlu_eval_accuracy_astronomy": 0.5, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "mmlu_eval_accuracy_college_biology": 0.5, | |
| "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": 0.3181818181818182, | |
| "mmlu_eval_accuracy_college_physics": 0.45454545454545453, | |
| "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": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "mmlu_eval_accuracy_high_school_biology": 0.40625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.7, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
| "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": 0.18181818181818182, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, | |
| "mmlu_eval_accuracy_management": 0.5454545454545454, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, | |
| "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.23, | |
| "mmlu_eval_accuracy_nutrition": 0.5151515151515151, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.4, | |
| "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, | |
| "mmlu_eval_accuracy_professional_law": 0.3235294117647059, | |
| "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, | |
| "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
| "mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.6818181818181818, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.4444444444444444, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 1.1821206606554924, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0002, | |
| "loss": 0.528, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5451, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4991, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5335, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 0.0002, | |
| "loss": 0.552, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5038, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4999, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 0.0002, | |
| "loss": 0.498, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5372, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5633, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 0.0002, | |
| "loss": 0.555, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5152, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4703, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4987, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5223, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.508, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5035, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4861, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5071, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5253, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_loss": 0.5059861540794373, | |
| "eval_runtime": 162.7698, | |
| "eval_samples_per_second": 6.144, | |
| "eval_steps_per_second": 3.072, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "mmlu_eval_accuracy": 0.43943772184310154, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.6428571428571429, | |
| "mmlu_eval_accuracy_astronomy": 0.5, | |
| "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": 0.0, | |
| "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": 0.36363636363636365, | |
| "mmlu_eval_accuracy_computer_security": 0.18181818181818182, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, | |
| "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": 0.3, | |
| "mmlu_eval_accuracy_high_school_biology": 0.28125, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.65, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.4230769230769231, | |
| "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": 0.2727272727272727, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5, | |
| "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": 0.627906976744186, | |
| "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5151515151515151, | |
| "mmlu_eval_accuracy_philosophy": 0.5, | |
| "mmlu_eval_accuracy_prehistory": 0.45714285714285713, | |
| "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, | |
| "mmlu_eval_accuracy_professional_law": 0.3411764705882353, | |
| "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, | |
| "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.5, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.5, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 1.0068739111834344, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5145, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4798, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4728, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5151, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4784, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5029, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4603, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5177, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4676, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4294, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4927, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 0.0002, | |
| "loss": 0.509, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4763, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 0.0002, | |
| "loss": 0.499, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4936, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5154, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5185, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4692, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4859, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4755, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "eval_loss": 0.4953967332839966, | |
| "eval_runtime": 127.6509, | |
| "eval_samples_per_second": 7.834, | |
| "eval_steps_per_second": 3.917, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "mmlu_eval_accuracy": 0.44296636130010114, | |
| "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": 0.4375, | |
| "mmlu_eval_accuracy_college_chemistry": 0.0, | |
| "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, | |
| "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, | |
| "mmlu_eval_accuracy_college_medicine": 0.2727272727272727, | |
| "mmlu_eval_accuracy_college_physics": 0.45454545454545453, | |
| "mmlu_eval_accuracy_computer_security": 0.45454545454545453, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.3, | |
| "mmlu_eval_accuracy_high_school_biology": 0.28125, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.6666666666666666, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.4230769230769231, | |
| "mmlu_eval_accuracy_human_aging": 0.7391304347826086, | |
| "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": 0.5, | |
| "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": 0.6395348837209303, | |
| "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.25, | |
| "mmlu_eval_accuracy_nutrition": 0.48484848484848486, | |
| "mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
| "mmlu_eval_accuracy_prehistory": 0.4857142857142857, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.34705882352941175, | |
| "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, | |
| "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.5, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.5, | |
| "mmlu_eval_accuracy_world_religions": 0.6842105263157895, | |
| "mmlu_loss": 0.979445159590898, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4985, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4798, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4372, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 0.0002, | |
| "loss": 0.459, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4566, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5171, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4919, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4854, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4689, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4785, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5183, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4489, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4942, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.0002, | |
| "loss": 0.489, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4945, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5139, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4682, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4612, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4696, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4923, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_loss": 0.4819973409175873, | |
| "eval_runtime": 127.6992, | |
| "eval_samples_per_second": 7.831, | |
| "eval_steps_per_second": 3.915, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "mmlu_eval_accuracy": 0.4402060582075684, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, | |
| "mmlu_eval_accuracy_anatomy": 0.5, | |
| "mmlu_eval_accuracy_astronomy": 0.4375, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "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": 0.2727272727272727, | |
| "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": 0.38461538461538464, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.3, | |
| "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": 0.7272727272727273, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, | |
| "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": 0.7272727272727273, | |
| "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": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.45454545454545453, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, | |
| "mmlu_eval_accuracy_moral_disputes": 0.3684210526315789, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5151515151515151, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.4, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.34705882352941175, | |
| "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, | |
| "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, | |
| "mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
| "mmlu_eval_accuracy_security_studies": 0.4444444444444444, | |
| "mmlu_eval_accuracy_sociology": 0.5454545454545454, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.5, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 0.981959992635499, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4769, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4918, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0002, | |
| "loss": 0.456, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4702, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4577, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 0.0002, | |
| "loss": 0.519, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5301, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4637, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4931, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5277, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5159, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4564, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4429, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4922, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4927, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4057, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4264, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4433, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4324, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4029, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "eval_loss": 0.4791600704193115, | |
| "eval_runtime": 127.7358, | |
| "eval_samples_per_second": 7.829, | |
| "eval_steps_per_second": 3.914, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "mmlu_eval_accuracy": 0.46467180515245, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, | |
| "mmlu_eval_accuracy_anatomy": 0.6428571428571429, | |
| "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": 0.4375, | |
| "mmlu_eval_accuracy_college_chemistry": 0.0, | |
| "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, | |
| "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_physics": 0.45454545454545453, | |
| "mmlu_eval_accuracy_computer_security": 0.36363636363636365, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.25, | |
| "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": 0.40625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.6666666666666666, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.46153846153846156, | |
| "mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.627906976744186, | |
| "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5454545454545454, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.5142857142857142, | |
| "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, | |
| "mmlu_eval_accuracy_professional_law": 0.3588235294117647, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.5454545454545454, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.5, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 0.9341255869356522, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4331, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3946, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4069, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 0.0002, | |
| "loss": 0.429, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4117, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4538, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4346, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4236, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3701, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4249, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4294, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4398, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 0.0002, | |
| "loss": 0.398, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 0.0002, | |
| "loss": 0.427, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4197, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4655, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4174, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4223, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4378, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3724, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_loss": 0.4776886999607086, | |
| "eval_runtime": 127.679, | |
| "eval_samples_per_second": 7.832, | |
| "eval_steps_per_second": 3.916, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "mmlu_eval_accuracy": 0.4717994530523758, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.6428571428571429, | |
| "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": 0.5, | |
| "mmlu_eval_accuracy_college_chemistry": 0.0, | |
| "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_physics": 0.45454545454545453, | |
| "mmlu_eval_accuracy_computer_security": 0.6363636363636364, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, | |
| "mmlu_eval_accuracy_econometrics": 0.3333333333333333, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.25, | |
| "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": 0.4375, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, | |
| "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": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5, | |
| "mmlu_eval_accuracy_human_aging": 0.7391304347826086, | |
| "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": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "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": 0.23, | |
| "mmlu_eval_accuracy_nutrition": 0.5454545454545454, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.5428571428571428, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.37058823529411766, | |
| "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, | |
| "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.6363636363636364, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.4444444444444444, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 0.9070262031692905, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4317, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4319, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4566, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3992, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4075, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4039, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4038, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 0.0002, | |
| "loss": 0.382, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4022, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4489, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3975, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4187, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3863, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4457, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4179, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4036, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4167, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3885, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3813, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3902, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "eval_loss": 0.4798353910446167, | |
| "eval_runtime": 127.8202, | |
| "eval_samples_per_second": 7.823, | |
| "eval_steps_per_second": 3.912, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "mmlu_eval_accuracy": 0.46940364507316334, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
| "mmlu_eval_accuracy_astronomy": 0.3125, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, | |
| "mmlu_eval_accuracy_college_biology": 0.4375, | |
| "mmlu_eval_accuracy_college_chemistry": 0.125, | |
| "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, | |
| "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, | |
| "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": 0.46153846153846156, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.5, | |
| "mmlu_eval_accuracy_high_school_biology": 0.40625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, | |
| "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": 0.27586206896551724, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, | |
| "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": 0.6363636363636364, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5, | |
| "mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.76, | |
| "mmlu_eval_accuracy_medical_genetics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_miscellaneous": 0.627906976744186, | |
| "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5454545454545454, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.4857142857142857, | |
| "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, | |
| "mmlu_eval_accuracy_professional_law": 0.37058823529411766, | |
| "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, | |
| "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.4444444444444444, | |
| "mmlu_eval_accuracy_sociology": 0.5909090909090909, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.5, | |
| "mmlu_eval_accuracy_world_religions": 0.631578947368421, | |
| "mmlu_loss": 1.088950080150257, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4201, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4211, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4487, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4076, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4646, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3904, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3894, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4143, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4265, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4217, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4041, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4113, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3756, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4061, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4214, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4223, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3866, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3955, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4416, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3857, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "eval_loss": 0.4716520607471466, | |
| "eval_runtime": 127.9601, | |
| "eval_samples_per_second": 7.815, | |
| "eval_steps_per_second": 3.907, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "mmlu_eval_accuracy": 0.46363212751838045, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, | |
| "mmlu_eval_accuracy_anatomy": 0.6428571428571429, | |
| "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": 0.5, | |
| "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": 0.38461538461538464, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.25, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "mmlu_eval_accuracy_high_school_biology": 0.4375, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, | |
| "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": 0.34782608695652173, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
| "mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.76, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, | |
| "mmlu_eval_accuracy_moral_disputes": 0.3684210526315789, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.48484848484848486, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.5142857142857142, | |
| "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, | |
| "mmlu_eval_accuracy_professional_law": 0.3235294117647059, | |
| "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, | |
| "mmlu_eval_accuracy_professional_psychology": 0.43478260869565216, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.6818181818181818, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.3333333333333333, | |
| "mmlu_eval_accuracy_world_religions": 0.6842105263157895, | |
| "mmlu_loss": 0.9711427107142094, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4272, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4018, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4067, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4175, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4142, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4243, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4212, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4222, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4235, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3672, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4058, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4392, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3713, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3819, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3981, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3923, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4212, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3968, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3742, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3945, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "eval_loss": 0.46646037697792053, | |
| "eval_runtime": 127.7419, | |
| "eval_samples_per_second": 7.828, | |
| "eval_steps_per_second": 3.914, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "mmlu_eval_accuracy": 0.4542045591160224, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, | |
| "mmlu_eval_accuracy_anatomy": 0.5, | |
| "mmlu_eval_accuracy_astronomy": 0.375, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "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": 0.2727272727272727, | |
| "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": 0.34615384615384615, | |
| "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": 0.3125, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, | |
| "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.65, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
| "mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.18181818181818182, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, | |
| "mmlu_eval_accuracy_management": 0.7272727272727273, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, | |
| "mmlu_eval_accuracy_moral_disputes": 0.3684210526315789, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.48484848484848486, | |
| "mmlu_eval_accuracy_philosophy": 0.5, | |
| "mmlu_eval_accuracy_prehistory": 0.45714285714285713, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.31176470588235294, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.5909090909090909, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, | |
| "mmlu_eval_accuracy_virology": 0.4444444444444444, | |
| "mmlu_eval_accuracy_world_religions": 0.7894736842105263, | |
| "mmlu_loss": 1.1131818244335856, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3883, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3933, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3901, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4038, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4359, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3962, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3876, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3987, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "learning_rate": 0.0002, | |
| "loss": 0.4021, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3602, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3208, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.329, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.333, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3298, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3282, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3286, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3196, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3288, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3138, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3202, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "eval_loss": 0.4817604422569275, | |
| "eval_runtime": 127.9381, | |
| "eval_samples_per_second": 7.816, | |
| "eval_steps_per_second": 3.908, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "mmlu_eval_accuracy": 0.4594927694187698, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, | |
| "mmlu_eval_accuracy_anatomy": 0.5, | |
| "mmlu_eval_accuracy_astronomy": 0.4375, | |
| "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "mmlu_eval_accuracy_college_biology": 0.5, | |
| "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": 0.3181818181818182, | |
| "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": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, | |
| "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, | |
| "mmlu_eval_accuracy_global_facts": 0.3, | |
| "mmlu_eval_accuracy_high_school_biology": 0.3125, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.7, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
| "mmlu_eval_accuracy_human_aging": 0.7391304347826086, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.7272727272727273, | |
| "mmlu_eval_accuracy_marketing": 0.72, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, | |
| "mmlu_eval_accuracy_moral_disputes": 0.34210526315789475, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5151515151515151, | |
| "mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
| "mmlu_eval_accuracy_prehistory": 0.4, | |
| "mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, | |
| "mmlu_eval_accuracy_professional_law": 0.3235294117647059, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, | |
| "mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
| "mmlu_eval_accuracy_security_studies": 0.4074074074074074, | |
| "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": 0.7894736842105263, | |
| "mmlu_loss": 1.1924852333165337, | |
| "step": 2000 | |
| } | |
| ], | |
| "max_steps": 5000, | |
| "num_train_epochs": 6, | |
| "total_flos": 2.7873053166646886e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |