Nous-Hermes-llama-2-7b_7b_cluster024_partitioned_v3_standardized_024
/
checkpoint-800
/trainer_state.json
{ | |
"best_metric": 0.5436688661575317, | |
"best_model_checkpoint": "./output_v2/7b_cluster024_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_024/checkpoint-800", | |
"epoch": 1.3266998341625207, | |
"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": 0.6328, | |
"step": 10 | |
}, | |
{ | |
"epoch": 0.03, | |
"learning_rate": 0.0002, | |
"loss": 0.616, | |
"step": 20 | |
}, | |
{ | |
"epoch": 0.05, | |
"learning_rate": 0.0002, | |
"loss": 0.6065, | |
"step": 30 | |
}, | |
{ | |
"epoch": 0.07, | |
"learning_rate": 0.0002, | |
"loss": 0.5889, | |
"step": 40 | |
}, | |
{ | |
"epoch": 0.08, | |
"learning_rate": 0.0002, | |
"loss": 0.6014, | |
"step": 50 | |
}, | |
{ | |
"epoch": 0.1, | |
"learning_rate": 0.0002, | |
"loss": 0.5784, | |
"step": 60 | |
}, | |
{ | |
"epoch": 0.12, | |
"learning_rate": 0.0002, | |
"loss": 0.5916, | |
"step": 70 | |
}, | |
{ | |
"epoch": 0.13, | |
"learning_rate": 0.0002, | |
"loss": 0.5858, | |
"step": 80 | |
}, | |
{ | |
"epoch": 0.15, | |
"learning_rate": 0.0002, | |
"loss": 0.5908, | |
"step": 90 | |
}, | |
{ | |
"epoch": 0.17, | |
"learning_rate": 0.0002, | |
"loss": 0.5695, | |
"step": 100 | |
}, | |
{ | |
"epoch": 0.18, | |
"learning_rate": 0.0002, | |
"loss": 0.5748, | |
"step": 110 | |
}, | |
{ | |
"epoch": 0.2, | |
"learning_rate": 0.0002, | |
"loss": 0.5461, | |
"step": 120 | |
}, | |
{ | |
"epoch": 0.22, | |
"learning_rate": 0.0002, | |
"loss": 0.5738, | |
"step": 130 | |
}, | |
{ | |
"epoch": 0.23, | |
"learning_rate": 0.0002, | |
"loss": 0.544, | |
"step": 140 | |
}, | |
{ | |
"epoch": 0.25, | |
"learning_rate": 0.0002, | |
"loss": 0.5646, | |
"step": 150 | |
}, | |
{ | |
"epoch": 0.27, | |
"learning_rate": 0.0002, | |
"loss": 0.5767, | |
"step": 160 | |
}, | |
{ | |
"epoch": 0.28, | |
"learning_rate": 0.0002, | |
"loss": 0.5783, | |
"step": 170 | |
}, | |
{ | |
"epoch": 0.3, | |
"learning_rate": 0.0002, | |
"loss": 0.5553, | |
"step": 180 | |
}, | |
{ | |
"epoch": 0.32, | |
"learning_rate": 0.0002, | |
"loss": 0.5455, | |
"step": 190 | |
}, | |
{ | |
"epoch": 0.33, | |
"learning_rate": 0.0002, | |
"loss": 0.5544, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.33, | |
"eval_loss": 0.5742304921150208, | |
"eval_runtime": 241.4438, | |
"eval_samples_per_second": 4.142, | |
"eval_steps_per_second": 2.071, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.33, | |
"mmlu_eval_accuracy": 0.4702447044631963, | |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
"mmlu_eval_accuracy_astronomy": 0.375, | |
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
"mmlu_eval_accuracy_college_biology": 0.5, | |
"mmlu_eval_accuracy_college_chemistry": 0.0, | |
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, | |
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, | |
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365, | |
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, | |
"mmlu_eval_accuracy_computer_security": 0.36363636363636365, | |
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, | |
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
"mmlu_eval_accuracy_electrical_engineering": 0.375, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, | |
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427, | |
"mmlu_eval_accuracy_global_facts": 0.5, | |
"mmlu_eval_accuracy_high_school_biology": 0.34375, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, | |
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, | |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, | |
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, | |
"mmlu_eval_accuracy_high_school_psychology": 0.75, | |
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, | |
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
"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": 0.6923076923076923, | |
"mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, | |
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
"mmlu_eval_accuracy_management": 0.5454545454545454, | |
"mmlu_eval_accuracy_marketing": 0.72, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, | |
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
"mmlu_eval_accuracy_moral_scenarios": 0.24, | |
"mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
"mmlu_eval_accuracy_philosophy": 0.47058823529411764, | |
"mmlu_eval_accuracy_prehistory": 0.5428571428571428, | |
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
"mmlu_eval_accuracy_professional_law": 0.3352941176470588, | |
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
"mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
"mmlu_eval_accuracy_security_studies": 0.5555555555555556, | |
"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": 1.171094535030522, | |
"step": 200 | |
}, | |
{ | |
"epoch": 0.35, | |
"learning_rate": 0.0002, | |
"loss": 0.5533, | |
"step": 210 | |
}, | |
{ | |
"epoch": 0.36, | |
"learning_rate": 0.0002, | |
"loss": 0.5512, | |
"step": 220 | |
}, | |
{ | |
"epoch": 0.38, | |
"learning_rate": 0.0002, | |
"loss": 0.5598, | |
"step": 230 | |
}, | |
{ | |
"epoch": 0.4, | |
"learning_rate": 0.0002, | |
"loss": 0.5616, | |
"step": 240 | |
}, | |
{ | |
"epoch": 0.41, | |
"learning_rate": 0.0002, | |
"loss": 0.5501, | |
"step": 250 | |
}, | |
{ | |
"epoch": 0.43, | |
"learning_rate": 0.0002, | |
"loss": 0.5391, | |
"step": 260 | |
}, | |
{ | |
"epoch": 0.45, | |
"learning_rate": 0.0002, | |
"loss": 0.5608, | |
"step": 270 | |
}, | |
{ | |
"epoch": 0.46, | |
"learning_rate": 0.0002, | |
"loss": 0.5412, | |
"step": 280 | |
}, | |
{ | |
"epoch": 0.48, | |
"learning_rate": 0.0002, | |
"loss": 0.5582, | |
"step": 290 | |
}, | |
{ | |
"epoch": 0.5, | |
"learning_rate": 0.0002, | |
"loss": 0.5479, | |
"step": 300 | |
}, | |
{ | |
"epoch": 0.51, | |
"learning_rate": 0.0002, | |
"loss": 0.552, | |
"step": 310 | |
}, | |
{ | |
"epoch": 0.53, | |
"learning_rate": 0.0002, | |
"loss": 0.5618, | |
"step": 320 | |
}, | |
{ | |
"epoch": 0.55, | |
"learning_rate": 0.0002, | |
"loss": 0.5535, | |
"step": 330 | |
}, | |
{ | |
"epoch": 0.56, | |
"learning_rate": 0.0002, | |
"loss": 0.5523, | |
"step": 340 | |
}, | |
{ | |
"epoch": 0.58, | |
"learning_rate": 0.0002, | |
"loss": 0.5497, | |
"step": 350 | |
}, | |
{ | |
"epoch": 0.6, | |
"learning_rate": 0.0002, | |
"loss": 0.5473, | |
"step": 360 | |
}, | |
{ | |
"epoch": 0.61, | |
"learning_rate": 0.0002, | |
"loss": 0.5481, | |
"step": 370 | |
}, | |
{ | |
"epoch": 0.63, | |
"learning_rate": 0.0002, | |
"loss": 0.537, | |
"step": 380 | |
}, | |
{ | |
"epoch": 0.65, | |
"learning_rate": 0.0002, | |
"loss": 0.5456, | |
"step": 390 | |
}, | |
{ | |
"epoch": 0.66, | |
"learning_rate": 0.0002, | |
"loss": 0.5572, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.66, | |
"eval_loss": 0.5586665868759155, | |
"eval_runtime": 241.3904, | |
"eval_samples_per_second": 4.143, | |
"eval_steps_per_second": 2.071, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.66, | |
"mmlu_eval_accuracy": 0.46203622406572054, | |
"mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, | |
"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": 0.125, | |
"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": 0.36363636363636365, | |
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, | |
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
"mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, | |
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
"mmlu_eval_accuracy_global_facts": 0.5, | |
"mmlu_eval_accuracy_high_school_biology": 0.375, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, | |
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, | |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, | |
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, | |
"mmlu_eval_accuracy_high_school_psychology": 0.75, | |
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, | |
"mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, | |
"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": 0.45454545454545453, | |
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
"mmlu_eval_accuracy_management": 0.45454545454545453, | |
"mmlu_eval_accuracy_marketing": 0.72, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, | |
"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": 0.4857142857142857, | |
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
"mmlu_eval_accuracy_professional_law": 0.3411764705882353, | |
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
"mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
"mmlu_eval_accuracy_sociology": 0.6363636363636364, | |
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
"mmlu_eval_accuracy_virology": 0.4444444444444444, | |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
"mmlu_loss": 1.1594297412792633, | |
"step": 400 | |
}, | |
{ | |
"epoch": 0.68, | |
"learning_rate": 0.0002, | |
"loss": 0.5303, | |
"step": 410 | |
}, | |
{ | |
"epoch": 0.7, | |
"learning_rate": 0.0002, | |
"loss": 0.5266, | |
"step": 420 | |
}, | |
{ | |
"epoch": 0.71, | |
"learning_rate": 0.0002, | |
"loss": 0.5356, | |
"step": 430 | |
}, | |
{ | |
"epoch": 0.73, | |
"learning_rate": 0.0002, | |
"loss": 0.5238, | |
"step": 440 | |
}, | |
{ | |
"epoch": 0.75, | |
"learning_rate": 0.0002, | |
"loss": 0.5483, | |
"step": 450 | |
}, | |
{ | |
"epoch": 0.76, | |
"learning_rate": 0.0002, | |
"loss": 0.5582, | |
"step": 460 | |
}, | |
{ | |
"epoch": 0.78, | |
"learning_rate": 0.0002, | |
"loss": 0.5259, | |
"step": 470 | |
}, | |
{ | |
"epoch": 0.8, | |
"learning_rate": 0.0002, | |
"loss": 0.5422, | |
"step": 480 | |
}, | |
{ | |
"epoch": 0.81, | |
"learning_rate": 0.0002, | |
"loss": 0.5357, | |
"step": 490 | |
}, | |
{ | |
"epoch": 0.83, | |
"learning_rate": 0.0002, | |
"loss": 0.5436, | |
"step": 500 | |
}, | |
{ | |
"epoch": 0.85, | |
"learning_rate": 0.0002, | |
"loss": 0.5274, | |
"step": 510 | |
}, | |
{ | |
"epoch": 0.86, | |
"learning_rate": 0.0002, | |
"loss": 0.5355, | |
"step": 520 | |
}, | |
{ | |
"epoch": 0.88, | |
"learning_rate": 0.0002, | |
"loss": 0.542, | |
"step": 530 | |
}, | |
{ | |
"epoch": 0.9, | |
"learning_rate": 0.0002, | |
"loss": 0.5333, | |
"step": 540 | |
}, | |
{ | |
"epoch": 0.91, | |
"learning_rate": 0.0002, | |
"loss": 0.5327, | |
"step": 550 | |
}, | |
{ | |
"epoch": 0.93, | |
"learning_rate": 0.0002, | |
"loss": 0.554, | |
"step": 560 | |
}, | |
{ | |
"epoch": 0.95, | |
"learning_rate": 0.0002, | |
"loss": 0.5313, | |
"step": 570 | |
}, | |
{ | |
"epoch": 0.96, | |
"learning_rate": 0.0002, | |
"loss": 0.5244, | |
"step": 580 | |
}, | |
{ | |
"epoch": 0.98, | |
"learning_rate": 0.0002, | |
"loss": 0.5202, | |
"step": 590 | |
}, | |
{ | |
"epoch": 1.0, | |
"learning_rate": 0.0002, | |
"loss": 0.5363, | |
"step": 600 | |
}, | |
{ | |
"epoch": 1.0, | |
"eval_loss": 0.5475168228149414, | |
"eval_runtime": 241.4806, | |
"eval_samples_per_second": 4.141, | |
"eval_steps_per_second": 2.071, | |
"step": 600 | |
}, | |
{ | |
"epoch": 1.0, | |
"mmlu_eval_accuracy": 0.47075667666126014, | |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
"mmlu_eval_accuracy_astronomy": 0.3125, | |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, | |
"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": 0.2727272727272727, | |
"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": 0.4230769230769231, | |
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
"mmlu_eval_accuracy_electrical_engineering": 0.4375, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, | |
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427, | |
"mmlu_eval_accuracy_global_facts": 0.5, | |
"mmlu_eval_accuracy_high_school_biology": 0.375, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, | |
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, | |
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, | |
"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": 0.75, | |
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, | |
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, | |
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
"mmlu_eval_accuracy_human_aging": 0.7391304347826086, | |
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
"mmlu_eval_accuracy_international_law": 0.6923076923076923, | |
"mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, | |
"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": 0.5, | |
"mmlu_eval_accuracy_moral_scenarios": 0.24, | |
"mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
"mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
"mmlu_eval_accuracy_prehistory": 0.5142857142857142, | |
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, | |
"mmlu_eval_accuracy_professional_law": 0.3235294117647059, | |
"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
"mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, | |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, | |
"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": 0.3888888888888889, | |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
"mmlu_loss": 1.2061605295920186, | |
"step": 600 | |
}, | |
{ | |
"epoch": 1.01, | |
"learning_rate": 0.0002, | |
"loss": 0.4962, | |
"step": 610 | |
}, | |
{ | |
"epoch": 1.03, | |
"learning_rate": 0.0002, | |
"loss": 0.4933, | |
"step": 620 | |
}, | |
{ | |
"epoch": 1.04, | |
"learning_rate": 0.0002, | |
"loss": 0.4587, | |
"step": 630 | |
}, | |
{ | |
"epoch": 1.06, | |
"learning_rate": 0.0002, | |
"loss": 0.4631, | |
"step": 640 | |
}, | |
{ | |
"epoch": 1.08, | |
"learning_rate": 0.0002, | |
"loss": 0.4595, | |
"step": 650 | |
}, | |
{ | |
"epoch": 1.09, | |
"learning_rate": 0.0002, | |
"loss": 0.4698, | |
"step": 660 | |
}, | |
{ | |
"epoch": 1.11, | |
"learning_rate": 0.0002, | |
"loss": 0.4726, | |
"step": 670 | |
}, | |
{ | |
"epoch": 1.13, | |
"learning_rate": 0.0002, | |
"loss": 0.4887, | |
"step": 680 | |
}, | |
{ | |
"epoch": 1.14, | |
"learning_rate": 0.0002, | |
"loss": 0.4819, | |
"step": 690 | |
}, | |
{ | |
"epoch": 1.16, | |
"learning_rate": 0.0002, | |
"loss": 0.4638, | |
"step": 700 | |
}, | |
{ | |
"epoch": 1.18, | |
"learning_rate": 0.0002, | |
"loss": 0.4656, | |
"step": 710 | |
}, | |
{ | |
"epoch": 1.19, | |
"learning_rate": 0.0002, | |
"loss": 0.4932, | |
"step": 720 | |
}, | |
{ | |
"epoch": 1.21, | |
"learning_rate": 0.0002, | |
"loss": 0.4762, | |
"step": 730 | |
}, | |
{ | |
"epoch": 1.23, | |
"learning_rate": 0.0002, | |
"loss": 0.4805, | |
"step": 740 | |
}, | |
{ | |
"epoch": 1.24, | |
"learning_rate": 0.0002, | |
"loss": 0.4746, | |
"step": 750 | |
}, | |
{ | |
"epoch": 1.26, | |
"learning_rate": 0.0002, | |
"loss": 0.4883, | |
"step": 760 | |
}, | |
{ | |
"epoch": 1.28, | |
"learning_rate": 0.0002, | |
"loss": 0.4714, | |
"step": 770 | |
}, | |
{ | |
"epoch": 1.29, | |
"learning_rate": 0.0002, | |
"loss": 0.4664, | |
"step": 780 | |
}, | |
{ | |
"epoch": 1.31, | |
"learning_rate": 0.0002, | |
"loss": 0.4667, | |
"step": 790 | |
}, | |
{ | |
"epoch": 1.33, | |
"learning_rate": 0.0002, | |
"loss": 0.477, | |
"step": 800 | |
}, | |
{ | |
"epoch": 1.33, | |
"eval_loss": 0.5436688661575317, | |
"eval_runtime": 241.2705, | |
"eval_samples_per_second": 4.145, | |
"eval_steps_per_second": 2.072, | |
"step": 800 | |
}, | |
{ | |
"epoch": 1.33, | |
"mmlu_eval_accuracy": 0.4770226329405574, | |
"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": 0.41379310344827586, | |
"mmlu_eval_accuracy_college_biology": 0.4375, | |
"mmlu_eval_accuracy_college_chemistry": 0.25, | |
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, | |
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, | |
"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": 0.4375, | |
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, | |
"mmlu_eval_accuracy_formal_logic": 0.35714285714285715, | |
"mmlu_eval_accuracy_global_facts": 0.5, | |
"mmlu_eval_accuracy_high_school_biology": 0.375, | |
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, | |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, | |
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
"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": 0.3076923076923077, | |
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
"mmlu_eval_accuracy_high_school_psychology": 0.75, | |
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, | |
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
"mmlu_eval_accuracy_human_aging": 0.6956521739130435, | |
"mmlu_eval_accuracy_human_sexuality": 0.5, | |
"mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
"mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, | |
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365, | |
"mmlu_eval_accuracy_management": 0.5454545454545454, | |
"mmlu_eval_accuracy_marketing": 0.76, | |
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, | |
"mmlu_eval_accuracy_moral_disputes": 0.5, | |
"mmlu_eval_accuracy_moral_scenarios": 0.23, | |
"mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
"mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
"mmlu_eval_accuracy_prehistory": 0.5428571428571428, | |
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, | |
"mmlu_eval_accuracy_professional_law": 0.32941176470588235, | |
"mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, | |
"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": 1.2083673925763945, | |
"step": 800 | |
} | |
], | |
"max_steps": 5000, | |
"num_train_epochs": 9, | |
"total_flos": 2.0431576377188352e+17, | |
"trial_name": null, | |
"trial_params": null | |
} | |