Nous-Hermes-llama-2-7b_7b_cluster031_partitioned_v3_standardized_031
/
checkpoint-800
/trainer_state.json
{ | |
"best_metric": 0.8391241431236267, | |
"best_model_checkpoint": "./output_v2/7b_cluster031_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_031/checkpoint-800", | |
"epoch": 0.5503955968352253, | |
"global_step": 800, | |
"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": 0.9502, | |
"step": 10 | |
}, | |
{ | |
"epoch": 0.01, | |
"learning_rate": 0.0002, | |
"loss": 0.9426, | |
"step": 20 | |
}, | |
{ | |
"epoch": 0.02, | |
"learning_rate": 0.0002, | |
"loss": 0.9682, | |
"step": 30 | |
}, | |
{ | |
"epoch": 0.03, | |
"learning_rate": 0.0002, | |
"loss": 0.8517, | |
"step": 40 | |
}, | |
{ | |
"epoch": 0.03, | |
"learning_rate": 0.0002, | |
"loss": 0.8944, | |
"step": 50 | |
}, | |
{ | |
"epoch": 0.04, | |
"learning_rate": 0.0002, | |
"loss": 0.8608, | |
"step": 60 | |
}, | |
{ | |
"epoch": 0.05, | |
"learning_rate": 0.0002, | |
"loss": 0.915, | |
"step": 70 | |
}, | |
{ | |
"epoch": 0.06, | |
"learning_rate": 0.0002, | |
"loss": 0.8349, | |
"step": 80 | |
}, | |
{ | |
"epoch": 0.06, | |
"learning_rate": 0.0002, | |
"loss": 0.8912, | |
"step": 90 | |
}, | |
{ | |
"epoch": 0.07, | |
"learning_rate": 0.0002, | |
"loss": 0.876, | |
"step": 100 | |
}, | |
{ | |
"epoch": 0.08, | |
"learning_rate": 0.0002, | |
"loss": 0.8697, | |
"step": 110 | |
}, | |
{ | |
"epoch": 0.08, | |
"learning_rate": 0.0002, | |
"loss": 0.8604, | |
"step": 120 | |
}, | |
{ | |
"epoch": 0.09, | |
"learning_rate": 0.0002, | |
"loss": 0.8654, | |
"step": 130 | |
}, | |
{ | |
"epoch": 0.1, | |
"learning_rate": 0.0002, | |
"loss": 0.8804, | |
"step": 140 | |
}, | |
{ | |
"epoch": 0.1, | |
"learning_rate": 0.0002, | |
"loss": 0.8355, | |
"step": 150 | |
}, | |
{ | |
"epoch": 0.11, | |
"learning_rate": 0.0002, | |
"loss": 0.8704, | |
"step": 160 | |
}, | |
{ | |
"epoch": 0.12, | |
"learning_rate": 0.0002, | |
"loss": 0.8241, | |
"step": 170 | |
}, | |
{ | |
"epoch": 0.12, | |
"learning_rate": 0.0002, | |
"loss": 0.8523, | |
"step": 180 | |
}, | |
{ | |
"epoch": 0.13, | |
"learning_rate": 0.0002, | |
"loss": 0.845, | |
"step": 190 | |
}, | |
{ | |
"epoch": 0.14, | |
"learning_rate": 0.0002, | |
"loss": 0.8681, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.14, | |
"eval_loss": 0.8539559245109558, | |
"eval_runtime": 189.7934, | |
"eval_samples_per_second": 5.269, | |
"eval_steps_per_second": 2.634, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.14, | |
"mmlu_eval_accuracy": 0.47295530665862845, | |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
"mmlu_eval_accuracy_anatomy": 0.5, | |
"mmlu_eval_accuracy_astronomy": 0.375, | |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, | |
"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": 0.45454545454545453, | |
"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": 0.45454545454545453, | |
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, | |
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
"mmlu_eval_accuracy_electrical_engineering": 0.5, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, | |
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715, | |
"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": 0.7777777777777778, | |
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, | |
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, | |
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, | |
"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, | |
"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": 0.5769230769230769, | |
"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": 0.7272727272727273, | |
"mmlu_eval_accuracy_marketing": 0.76, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, | |
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, | |
"mmlu_eval_accuracy_moral_scenarios": 0.24, | |
"mmlu_eval_accuracy_nutrition": 0.5757575757575758, | |
"mmlu_eval_accuracy_philosophy": 0.4117647058823529, | |
"mmlu_eval_accuracy_prehistory": 0.42857142857142855, | |
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
"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": 0.6666666666666666, | |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
"mmlu_eval_accuracy_sociology": 0.6818181818181818, | |
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
"mmlu_eval_accuracy_virology": 0.4444444444444444, | |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
"mmlu_loss": 1.2187759077891358, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.14, | |
"learning_rate": 0.0002, | |
"loss": 0.8902, | |
"step": 210 | |
}, | |
{ | |
"epoch": 0.15, | |
"learning_rate": 0.0002, | |
"loss": 0.9119, | |
"step": 220 | |
}, | |
{ | |
"epoch": 0.16, | |
"learning_rate": 0.0002, | |
"loss": 0.8849, | |
"step": 230 | |
}, | |
{ | |
"epoch": 0.17, | |
"learning_rate": 0.0002, | |
"loss": 0.8345, | |
"step": 240 | |
}, | |
{ | |
"epoch": 0.17, | |
"learning_rate": 0.0002, | |
"loss": 0.8418, | |
"step": 250 | |
}, | |
{ | |
"epoch": 0.18, | |
"learning_rate": 0.0002, | |
"loss": 0.8305, | |
"step": 260 | |
}, | |
{ | |
"epoch": 0.19, | |
"learning_rate": 0.0002, | |
"loss": 0.8525, | |
"step": 270 | |
}, | |
{ | |
"epoch": 0.19, | |
"learning_rate": 0.0002, | |
"loss": 0.8523, | |
"step": 280 | |
}, | |
{ | |
"epoch": 0.2, | |
"learning_rate": 0.0002, | |
"loss": 0.8511, | |
"step": 290 | |
}, | |
{ | |
"epoch": 0.21, | |
"learning_rate": 0.0002, | |
"loss": 0.8297, | |
"step": 300 | |
}, | |
{ | |
"epoch": 0.21, | |
"learning_rate": 0.0002, | |
"loss": 0.8213, | |
"step": 310 | |
}, | |
{ | |
"epoch": 0.22, | |
"learning_rate": 0.0002, | |
"loss": 0.8225, | |
"step": 320 | |
}, | |
{ | |
"epoch": 0.23, | |
"learning_rate": 0.0002, | |
"loss": 0.8359, | |
"step": 330 | |
}, | |
{ | |
"epoch": 0.23, | |
"learning_rate": 0.0002, | |
"loss": 0.8326, | |
"step": 340 | |
}, | |
{ | |
"epoch": 0.24, | |
"learning_rate": 0.0002, | |
"loss": 0.832, | |
"step": 350 | |
}, | |
{ | |
"epoch": 0.25, | |
"learning_rate": 0.0002, | |
"loss": 0.8208, | |
"step": 360 | |
}, | |
{ | |
"epoch": 0.25, | |
"learning_rate": 0.0002, | |
"loss": 0.8427, | |
"step": 370 | |
}, | |
{ | |
"epoch": 0.26, | |
"learning_rate": 0.0002, | |
"loss": 0.8812, | |
"step": 380 | |
}, | |
{ | |
"epoch": 0.27, | |
"learning_rate": 0.0002, | |
"loss": 0.9016, | |
"step": 390 | |
}, | |
{ | |
"epoch": 0.28, | |
"learning_rate": 0.0002, | |
"loss": 0.8694, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.28, | |
"eval_loss": 0.8468822240829468, | |
"eval_runtime": 189.8705, | |
"eval_samples_per_second": 5.267, | |
"eval_steps_per_second": 2.633, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.28, | |
"mmlu_eval_accuracy": 0.45864815481629223, | |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
"mmlu_eval_accuracy_astronomy": 0.375, | |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, | |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
"mmlu_eval_accuracy_college_biology": 0.4375, | |
"mmlu_eval_accuracy_college_chemistry": 0.125, | |
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, | |
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, | |
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182, | |
"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": 0.34146341463414637, | |
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715, | |
"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": 0.5555555555555556, | |
"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": 0.32558139534883723, | |
"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": 0.7166666666666667, | |
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, | |
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
"mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
"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": 0.7272727272727273, | |
"mmlu_eval_accuracy_marketing": 0.68, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, | |
"mmlu_eval_accuracy_moral_disputes": 0.5, | |
"mmlu_eval_accuracy_moral_scenarios": 0.24, | |
"mmlu_eval_accuracy_nutrition": 0.5757575757575758, | |
"mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
"mmlu_eval_accuracy_prehistory": 0.42857142857142855, | |
"mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, | |
"mmlu_eval_accuracy_professional_law": 0.3588235294117647, | |
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, | |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
"mmlu_eval_accuracy_sociology": 0.5454545454545454, | |
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
"mmlu_eval_accuracy_virology": 0.4444444444444444, | |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
"mmlu_loss": 0.9554785659084433, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.28, | |
"learning_rate": 0.0002, | |
"loss": 0.8383, | |
"step": 410 | |
}, | |
{ | |
"epoch": 0.29, | |
"learning_rate": 0.0002, | |
"loss": 0.8315, | |
"step": 420 | |
}, | |
{ | |
"epoch": 0.3, | |
"learning_rate": 0.0002, | |
"loss": 0.8613, | |
"step": 430 | |
}, | |
{ | |
"epoch": 0.3, | |
"learning_rate": 0.0002, | |
"loss": 0.865, | |
"step": 440 | |
}, | |
{ | |
"epoch": 0.31, | |
"learning_rate": 0.0002, | |
"loss": 0.8028, | |
"step": 450 | |
}, | |
{ | |
"epoch": 0.32, | |
"learning_rate": 0.0002, | |
"loss": 0.8557, | |
"step": 460 | |
}, | |
{ | |
"epoch": 0.32, | |
"learning_rate": 0.0002, | |
"loss": 0.8834, | |
"step": 470 | |
}, | |
{ | |
"epoch": 0.33, | |
"learning_rate": 0.0002, | |
"loss": 0.8468, | |
"step": 480 | |
}, | |
{ | |
"epoch": 0.34, | |
"learning_rate": 0.0002, | |
"loss": 0.8556, | |
"step": 490 | |
}, | |
{ | |
"epoch": 0.34, | |
"learning_rate": 0.0002, | |
"loss": 0.8591, | |
"step": 500 | |
}, | |
{ | |
"epoch": 0.35, | |
"learning_rate": 0.0002, | |
"loss": 0.8683, | |
"step": 510 | |
}, | |
{ | |
"epoch": 0.36, | |
"learning_rate": 0.0002, | |
"loss": 0.8278, | |
"step": 520 | |
}, | |
{ | |
"epoch": 0.36, | |
"learning_rate": 0.0002, | |
"loss": 0.8208, | |
"step": 530 | |
}, | |
{ | |
"epoch": 0.37, | |
"learning_rate": 0.0002, | |
"loss": 0.8372, | |
"step": 540 | |
}, | |
{ | |
"epoch": 0.38, | |
"learning_rate": 0.0002, | |
"loss": 0.8144, | |
"step": 550 | |
}, | |
{ | |
"epoch": 0.39, | |
"learning_rate": 0.0002, | |
"loss": 0.8783, | |
"step": 560 | |
}, | |
{ | |
"epoch": 0.39, | |
"learning_rate": 0.0002, | |
"loss": 0.8337, | |
"step": 570 | |
}, | |
{ | |
"epoch": 0.4, | |
"learning_rate": 0.0002, | |
"loss": 0.8572, | |
"step": 580 | |
}, | |
{ | |
"epoch": 0.41, | |
"learning_rate": 0.0002, | |
"loss": 0.8275, | |
"step": 590 | |
}, | |
{ | |
"epoch": 0.41, | |
"learning_rate": 0.0002, | |
"loss": 0.8599, | |
"step": 600 | |
}, | |
{ | |
"epoch": 0.41, | |
"eval_loss": 0.84308922290802, | |
"eval_runtime": 189.8586, | |
"eval_samples_per_second": 5.267, | |
"eval_steps_per_second": 2.634, | |
"step": 600 | |
}, | |
{ | |
"epoch": 0.41, | |
"mmlu_eval_accuracy": 0.45447446268908714, | |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
"mmlu_eval_accuracy_anatomy": 0.5, | |
"mmlu_eval_accuracy_astronomy": 0.375, | |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, | |
"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": 0.3181818181818182, | |
"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": 0.375, | |
"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": 0.3125, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, | |
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, | |
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, | |
"mmlu_eval_accuracy_high_school_microeconomics": 0.23076923076923078, | |
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, | |
"mmlu_eval_accuracy_high_school_psychology": 0.6833333333333333, | |
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, | |
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, | |
"mmlu_eval_accuracy_human_aging": 0.6521739130434783, | |
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, | |
"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": 0.6511627906976745, | |
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
"mmlu_eval_accuracy_moral_scenarios": 0.22, | |
"mmlu_eval_accuracy_nutrition": 0.6363636363636364, | |
"mmlu_eval_accuracy_philosophy": 0.5294117647058824, | |
"mmlu_eval_accuracy_prehistory": 0.4, | |
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, | |
"mmlu_eval_accuracy_professional_law": 0.3235294117647059, | |
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, | |
"mmlu_eval_accuracy_professional_psychology": 0.43478260869565216, | |
"mmlu_eval_accuracy_public_relations": 0.6666666666666666, | |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
"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": 0.9984549878082449, | |
"step": 600 | |
}, | |
{ | |
"epoch": 0.42, | |
"learning_rate": 0.0002, | |
"loss": 0.8279, | |
"step": 610 | |
}, | |
{ | |
"epoch": 0.43, | |
"learning_rate": 0.0002, | |
"loss": 0.8363, | |
"step": 620 | |
}, | |
{ | |
"epoch": 0.43, | |
"learning_rate": 0.0002, | |
"loss": 0.8698, | |
"step": 630 | |
}, | |
{ | |
"epoch": 0.44, | |
"learning_rate": 0.0002, | |
"loss": 0.8407, | |
"step": 640 | |
}, | |
{ | |
"epoch": 0.45, | |
"learning_rate": 0.0002, | |
"loss": 0.8555, | |
"step": 650 | |
}, | |
{ | |
"epoch": 0.45, | |
"learning_rate": 0.0002, | |
"loss": 0.8393, | |
"step": 660 | |
}, | |
{ | |
"epoch": 0.46, | |
"learning_rate": 0.0002, | |
"loss": 0.8527, | |
"step": 670 | |
}, | |
{ | |
"epoch": 0.47, | |
"learning_rate": 0.0002, | |
"loss": 0.8666, | |
"step": 680 | |
}, | |
{ | |
"epoch": 0.47, | |
"learning_rate": 0.0002, | |
"loss": 0.8584, | |
"step": 690 | |
}, | |
{ | |
"epoch": 0.48, | |
"learning_rate": 0.0002, | |
"loss": 0.8583, | |
"step": 700 | |
}, | |
{ | |
"epoch": 0.49, | |
"learning_rate": 0.0002, | |
"loss": 0.8524, | |
"step": 710 | |
}, | |
{ | |
"epoch": 0.5, | |
"learning_rate": 0.0002, | |
"loss": 0.8543, | |
"step": 720 | |
}, | |
{ | |
"epoch": 0.5, | |
"learning_rate": 0.0002, | |
"loss": 0.8687, | |
"step": 730 | |
}, | |
{ | |
"epoch": 0.51, | |
"learning_rate": 0.0002, | |
"loss": 0.8593, | |
"step": 740 | |
}, | |
{ | |
"epoch": 0.52, | |
"learning_rate": 0.0002, | |
"loss": 0.8365, | |
"step": 750 | |
}, | |
{ | |
"epoch": 0.52, | |
"learning_rate": 0.0002, | |
"loss": 0.8718, | |
"step": 760 | |
}, | |
{ | |
"epoch": 0.53, | |
"learning_rate": 0.0002, | |
"loss": 0.8362, | |
"step": 770 | |
}, | |
{ | |
"epoch": 0.54, | |
"learning_rate": 0.0002, | |
"loss": 0.8114, | |
"step": 780 | |
}, | |
{ | |
"epoch": 0.54, | |
"learning_rate": 0.0002, | |
"loss": 0.8611, | |
"step": 790 | |
}, | |
{ | |
"epoch": 0.55, | |
"learning_rate": 0.0002, | |
"loss": 0.8521, | |
"step": 800 | |
}, | |
{ | |
"epoch": 0.55, | |
"eval_loss": 0.8391241431236267, | |
"eval_runtime": 189.8022, | |
"eval_samples_per_second": 5.269, | |
"eval_steps_per_second": 2.634, | |
"step": 800 | |
}, | |
{ | |
"epoch": 0.55, | |
"mmlu_eval_accuracy": 0.4694480562846655, | |
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, | |
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
"mmlu_eval_accuracy_astronomy": 0.3125, | |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, | |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
"mmlu_eval_accuracy_college_biology": 0.5, | |
"mmlu_eval_accuracy_college_chemistry": 0.25, | |
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, | |
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, | |
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182, | |
"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": 0.25, | |
"mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, | |
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427, | |
"mmlu_eval_accuracy_global_facts": 0.5, | |
"mmlu_eval_accuracy_high_school_biology": 0.4375, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, | |
"mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444, | |
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
"mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, | |
"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": 0.6363636363636364, | |
"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": 0.8461538461538461, | |
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
"mmlu_eval_accuracy_management": 0.7272727272727273, | |
"mmlu_eval_accuracy_marketing": 0.72, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, | |
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
"mmlu_eval_accuracy_moral_scenarios": 0.23, | |
"mmlu_eval_accuracy_nutrition": 0.6666666666666666, | |
"mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
"mmlu_eval_accuracy_prehistory": 0.5428571428571428, | |
"mmlu_eval_accuracy_professional_accounting": 0.22580645161290322, | |
"mmlu_eval_accuracy_professional_law": 0.31176470588235294, | |
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, | |
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, | |
"mmlu_eval_accuracy_public_relations": 0.5, | |
"mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
"mmlu_eval_accuracy_sociology": 0.7272727272727273, | |
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
"mmlu_eval_accuracy_virology": 0.3888888888888889, | |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
"mmlu_loss": 1.0093606002337006, | |
"step": 800 | |
} | |
], | |
"max_steps": 5000, | |
"num_train_epochs": 4, | |
"total_flos": 1.4473563545228083e+17, | |
"trial_name": null, | |
"trial_params": null | |
} | |