|
{ |
|
"best_metric": 0.8138102889060974, |
|
"best_model_checkpoint": "./output_v2/7b_cluster015_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_015/checkpoint-1400", |
|
"epoch": 1.340931947703654, |
|
"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": 0.969, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9032, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.81, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.876, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8858, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8608, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.846, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8466, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8456, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8895, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.862, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8193, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8588, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8516, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8428, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8829, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.0002, |
|
"loss": 0.882, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8054, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8673, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8389, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"eval_loss": 0.8394724130630493, |
|
"eval_runtime": 191.2112, |
|
"eval_samples_per_second": 5.23, |
|
"eval_steps_per_second": 2.615, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"mmlu_eval_accuracy": 0.4626311671628311, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, |
|
"mmlu_eval_accuracy_anatomy": 0.5, |
|
"mmlu_eval_accuracy_astronomy": 0.375, |
|
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, |
|
"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": 0.5454545454545454, |
|
"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": 0.36363636363636365, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, |
|
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.5, |
|
"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": 0.34375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3023255813953488, |
|
"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": 0.30434782608695654, |
|
"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": 0.3333333333333333, |
|
"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": 0.6363636363636364, |
|
"mmlu_eval_accuracy_marketing": 0.72, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, |
|
"mmlu_eval_accuracy_moral_disputes": 0.5, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.5454545454545454, |
|
"mmlu_eval_accuracy_philosophy": 0.5294117647058824, |
|
"mmlu_eval_accuracy_prehistory": 0.42857142857142855, |
|
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, |
|
"mmlu_eval_accuracy_professional_law": 0.3235294117647059, |
|
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, |
|
"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": 0.6363636363636364, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, |
|
"mmlu_eval_accuracy_virology": 0.4444444444444444, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 1.0846105751924353, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.0002, |
|
"loss": 0.9027, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8621, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8405, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8553, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8334, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8791, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8607, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8403, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8471, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8945, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8094, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8571, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8469, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8609, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8242, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8679, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8583, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8815, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.0002, |
|
"loss": 0.819, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8946, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"eval_loss": 0.8304864764213562, |
|
"eval_runtime": 191.0197, |
|
"eval_samples_per_second": 5.235, |
|
"eval_steps_per_second": 2.618, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"mmlu_eval_accuracy": 0.45184631712481954, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, |
|
"mmlu_eval_accuracy_anatomy": 0.5, |
|
"mmlu_eval_accuracy_astronomy": 0.4375, |
|
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.3793103448275862, |
|
"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": 0.3181818181818182, |
|
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_computer_security": 0.36363636363636365, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, |
|
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.5, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, |
|
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857, |
|
"mmlu_eval_accuracy_global_facts": 0.4, |
|
"mmlu_eval_accuracy_high_school_biology": 0.34375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, |
|
"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": 0.3023255813953488, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, |
|
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7, |
|
"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": 0.3333333333333333, |
|
"mmlu_eval_accuracy_international_law": 0.7692307692307693, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, |
|
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.72, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.686046511627907, |
|
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.6060606060606061, |
|
"mmlu_eval_accuracy_philosophy": 0.5588235294117647, |
|
"mmlu_eval_accuracy_prehistory": 0.4, |
|
"mmlu_eval_accuracy_professional_accounting": 0.25806451612903225, |
|
"mmlu_eval_accuracy_professional_law": 0.3176470588235294, |
|
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, |
|
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087, |
|
"mmlu_eval_accuracy_public_relations": 0.5, |
|
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, |
|
"mmlu_eval_accuracy_sociology": 0.5909090909090909, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, |
|
"mmlu_eval_accuracy_virology": 0.4444444444444444, |
|
"mmlu_eval_accuracy_world_religions": 0.6842105263157895, |
|
"mmlu_loss": 1.1180029823286726, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8577, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8594, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8559, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8602, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8196, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8601, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8412, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8543, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8705, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7979, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8179, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8842, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7691, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8867, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8812, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8507, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8627, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8451, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8396, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8756, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"eval_loss": 0.8252214193344116, |
|
"eval_runtime": 190.9921, |
|
"eval_samples_per_second": 5.236, |
|
"eval_steps_per_second": 2.618, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"mmlu_eval_accuracy": 0.46243828535426434, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, |
|
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, |
|
"mmlu_eval_accuracy_astronomy": 0.4375, |
|
"mmlu_eval_accuracy_business_ethics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.4375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, |
|
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, |
|
"mmlu_eval_accuracy_college_medicine": 0.36363636363636365, |
|
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_computer_security": 0.36363636363636365, |
|
"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": 0.4146341463414634, |
|
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857, |
|
"mmlu_eval_accuracy_global_facts": 0.5, |
|
"mmlu_eval_accuracy_high_school_biology": 0.34375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, |
|
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, |
|
"mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.21739130434782608, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, |
|
"mmlu_eval_accuracy_human_aging": 0.6956521739130435, |
|
"mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, |
|
"mmlu_eval_accuracy_international_law": 0.6923076923076923, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.72, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.686046511627907, |
|
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.5757575757575758, |
|
"mmlu_eval_accuracy_philosophy": 0.5, |
|
"mmlu_eval_accuracy_prehistory": 0.4857142857142857, |
|
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, |
|
"mmlu_eval_accuracy_professional_law": 0.3058823529411765, |
|
"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": 0.5555555555555556, |
|
"mmlu_eval_accuracy_sociology": 0.7272727272727273, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, |
|
"mmlu_eval_accuracy_virology": 0.4444444444444444, |
|
"mmlu_eval_accuracy_world_religions": 0.6842105263157895, |
|
"mmlu_loss": 1.1610933113113706, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8505, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8277, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.0002, |
|
"loss": 0.798, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8582, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8542, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8167, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8035, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8348, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8423, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8668, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8037, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8491, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8498, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8048, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8662, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8479, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8457, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8865, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8411, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8207, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"eval_loss": 0.8217844367027283, |
|
"eval_runtime": 191.1923, |
|
"eval_samples_per_second": 5.23, |
|
"eval_steps_per_second": 2.615, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"mmlu_eval_accuracy": 0.4627342112287351, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, |
|
"mmlu_eval_accuracy_anatomy": 0.5714285714285714, |
|
"mmlu_eval_accuracy_astronomy": 0.4375, |
|
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.4375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.125, |
|
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, |
|
"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": 0.25, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.3125, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, |
|
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857, |
|
"mmlu_eval_accuracy_global_facts": 0.5, |
|
"mmlu_eval_accuracy_high_school_biology": 0.375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, |
|
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, |
|
"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": 0.7692307692307693, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, |
|
"mmlu_eval_accuracy_management": 0.5454545454545454, |
|
"mmlu_eval_accuracy_marketing": 0.76, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, |
|
"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": 0.4857142857142857, |
|
"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": 0.4057971014492754, |
|
"mmlu_eval_accuracy_public_relations": 0.5, |
|
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, |
|
"mmlu_eval_accuracy_sociology": 0.6363636363636364, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453, |
|
"mmlu_eval_accuracy_virology": 0.3888888888888889, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 1.1044702904187045, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.0002, |
|
"loss": 0.903, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 0.0002, |
|
"loss": 0.852, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8646, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8278, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8349, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8422, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8313, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8228, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8204, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8327, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8523, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8661, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8103, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8723, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8503, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8252, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8143, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.0002, |
|
"loss": 0.824, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8643, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.0002, |
|
"loss": 0.827, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"eval_loss": 0.8191137313842773, |
|
"eval_runtime": 191.0648, |
|
"eval_samples_per_second": 5.234, |
|
"eval_steps_per_second": 2.617, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"mmlu_eval_accuracy": 0.4562828094173592, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, |
|
"mmlu_eval_accuracy_anatomy": 0.6428571428571429, |
|
"mmlu_eval_accuracy_astronomy": 0.4375, |
|
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.4375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.0, |
|
"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": 0.45454545454545453, |
|
"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": 0.4146341463414634, |
|
"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": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615, |
|
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, |
|
"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": 0.7692307692307693, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, |
|
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.76, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, |
|
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735, |
|
"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": 0.3352941176470588, |
|
"mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, |
|
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087, |
|
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, |
|
"mmlu_eval_accuracy_security_studies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_sociology": 0.5909090909090909, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, |
|
"mmlu_eval_accuracy_virology": 0.3333333333333333, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 1.060513006994992, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8497, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8419, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7963, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8297, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8797, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8088, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8709, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8643, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7761, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8927, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8244, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8095, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8269, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0002, |
|
"loss": 0.79, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8232, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8538, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8721, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8653, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8279, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8398, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_loss": 0.8146417140960693, |
|
"eval_runtime": 191.0331, |
|
"eval_samples_per_second": 5.235, |
|
"eval_steps_per_second": 2.617, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"mmlu_eval_accuracy": 0.45965424254543474, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, |
|
"mmlu_eval_accuracy_anatomy": 0.7142857142857143, |
|
"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": 0.375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"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": 0.45454545454545453, |
|
"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": 0.21428571428571427, |
|
"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": 0.4444444444444444, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, |
|
"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": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, |
|
"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": 0.6111111111111112, |
|
"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": 0.6627906976744186, |
|
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.5151515151515151, |
|
"mmlu_eval_accuracy_philosophy": 0.5, |
|
"mmlu_eval_accuracy_prehistory": 0.45714285714285713, |
|
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, |
|
"mmlu_eval_accuracy_professional_law": 0.31176470588235294, |
|
"mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, |
|
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087, |
|
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, |
|
"mmlu_eval_accuracy_security_studies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_sociology": 0.5909090909090909, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, |
|
"mmlu_eval_accuracy_virology": 0.3333333333333333, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 1.1305760689099216, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.0002, |
|
"loss": 0.794, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8787, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8212, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8622, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8568, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8485, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8174, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8327, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8177, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8023, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8108, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8222, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8784, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8098, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8441, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8273, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8209, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8096, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8163, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8194, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"eval_loss": 0.8138102889060974, |
|
"eval_runtime": 191.1419, |
|
"eval_samples_per_second": 5.232, |
|
"eval_steps_per_second": 2.616, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"mmlu_eval_accuracy": 0.47157305762995727, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, |
|
"mmlu_eval_accuracy_anatomy": 0.7142857142857143, |
|
"mmlu_eval_accuracy_astronomy": 0.375, |
|
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, |
|
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, |
|
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182, |
|
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_computer_security": 0.36363636363636365, |
|
"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": 0.43902439024390244, |
|
"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": 0.7777777777777778, |
|
"mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, |
|
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, |
|
"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": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_machine_learning": 0.2727272727272727, |
|
"mmlu_eval_accuracy_management": 0.5454545454545454, |
|
"mmlu_eval_accuracy_marketing": 0.68, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.686046511627907, |
|
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.5151515151515151, |
|
"mmlu_eval_accuracy_philosophy": 0.4411764705882353, |
|
"mmlu_eval_accuracy_prehistory": 0.5142857142857142, |
|
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, |
|
"mmlu_eval_accuracy_professional_law": 0.31176470588235294, |
|
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, |
|
"mmlu_eval_accuracy_professional_psychology": 0.391304347826087, |
|
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, |
|
"mmlu_eval_accuracy_security_studies": 0.5185185185185185, |
|
"mmlu_eval_accuracy_sociology": 0.5909090909090909, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, |
|
"mmlu_eval_accuracy_virology": 0.3888888888888889, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 0.9451145088937202, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8871, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8086, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8082, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8396, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8239, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 0.0002, |
|
"loss": 0.816, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.0002, |
|
"loss": 0.817, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8399, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 0.0002, |
|
"loss": 0.835, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7444, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7771, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7708, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7805, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.0002, |
|
"loss": 0.766, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7637, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7254, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7519, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7441, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7175, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7525, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"eval_loss": 0.8182914853096008, |
|
"eval_runtime": 191.1519, |
|
"eval_samples_per_second": 5.231, |
|
"eval_steps_per_second": 2.616, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"mmlu_eval_accuracy": 0.46122104830313654, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, |
|
"mmlu_eval_accuracy_anatomy": 0.7142857142857143, |
|
"mmlu_eval_accuracy_astronomy": 0.375, |
|
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.4375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.0, |
|
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, |
|
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, |
|
"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": 0.4230769230769231, |
|
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.375, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, |
|
"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": 0.4444444444444444, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, |
|
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, |
|
"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, |
|
"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": 0.5, |
|
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.64, |
|
"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": 0.5151515151515151, |
|
"mmlu_eval_accuracy_philosophy": 0.47058823529411764, |
|
"mmlu_eval_accuracy_prehistory": 0.5428571428571428, |
|
"mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, |
|
"mmlu_eval_accuracy_professional_law": 0.3411764705882353, |
|
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, |
|
"mmlu_eval_accuracy_professional_psychology": 0.42028985507246375, |
|
"mmlu_eval_accuracy_public_relations": 0.5833333333333334, |
|
"mmlu_eval_accuracy_security_studies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_sociology": 0.5909090909090909, |
|
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, |
|
"mmlu_eval_accuracy_virology": 0.5, |
|
"mmlu_eval_accuracy_world_religions": 0.7368421052631579, |
|
"mmlu_loss": 0.9508307614113269, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7187, |
|
"step": 1610 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7525, |
|
"step": 1620 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7606, |
|
"step": 1630 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7593, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7942, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7386, |
|
"step": 1660 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7519, |
|
"step": 1670 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.0002, |
|
"loss": 0.728, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.0002, |
|
"loss": 0.773, |
|
"step": 1690 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7509, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7435, |
|
"step": 1710 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7797, |
|
"step": 1720 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7727, |
|
"step": 1730 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7488, |
|
"step": 1740 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0002, |
|
"loss": 0.734, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7716, |
|
"step": 1760 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7514, |
|
"step": 1770 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"learning_rate": 0.0002, |
|
"loss": 0.789, |
|
"step": 1780 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7544, |
|
"step": 1790 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7649, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"eval_loss": 0.8216288685798645, |
|
"eval_runtime": 191.3902, |
|
"eval_samples_per_second": 5.225, |
|
"eval_steps_per_second": 2.612, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"mmlu_eval_accuracy": 0.45547954117728906, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, |
|
"mmlu_eval_accuracy_anatomy": 0.6428571428571429, |
|
"mmlu_eval_accuracy_astronomy": 0.3125, |
|
"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": 0.125, |
|
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, |
|
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, |
|
"mmlu_eval_accuracy_college_medicine": 0.3181818181818182, |
|
"mmlu_eval_accuracy_college_physics": 0.45454545454545453, |
|
"mmlu_eval_accuracy_computer_security": 0.2727272727272727, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, |
|
"mmlu_eval_accuracy_econometrics": 0.16666666666666666, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.375, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, |
|
"mmlu_eval_accuracy_formal_logic": 0.21428571428571427, |
|
"mmlu_eval_accuracy_global_facts": 0.2, |
|
"mmlu_eval_accuracy_high_school_biology": 0.375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, |
|
"mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, |
|
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, |
|
"mmlu_eval_accuracy_human_aging": 0.6521739130434783, |
|
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, |
|
"mmlu_eval_accuracy_international_law": 0.7692307692307693, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, |
|
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.64, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, |
|
"mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.25, |
|
"mmlu_eval_accuracy_nutrition": 0.48484848484848486, |
|
"mmlu_eval_accuracy_philosophy": 0.5, |
|
"mmlu_eval_accuracy_prehistory": 0.5142857142857142, |
|
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, |
|
"mmlu_eval_accuracy_professional_law": 0.34705882352941175, |
|
"mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, |
|
"mmlu_eval_accuracy_professional_psychology": 0.43478260869565216, |
|
"mmlu_eval_accuracy_public_relations": 0.6666666666666666, |
|
"mmlu_eval_accuracy_security_studies": 0.5555555555555556, |
|
"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": 1.018148140189075, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7312, |
|
"step": 1810 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7612, |
|
"step": 1820 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7495, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7255, |
|
"step": 1840 |
|
}, |
|
{ |
|
"epoch": 1.24, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7511, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7879, |
|
"step": 1860 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7397, |
|
"step": 1870 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.0002, |
|
"loss": 0.8136, |
|
"step": 1880 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7964, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7584, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7701, |
|
"step": 1910 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7423, |
|
"step": 1920 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7411, |
|
"step": 1930 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7673, |
|
"step": 1940 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.0002, |
|
"loss": 0.717, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7825, |
|
"step": 1960 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7682, |
|
"step": 1970 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7266, |
|
"step": 1980 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0002, |
|
"loss": 0.7417, |
|
"step": 1990 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 0.0002, |
|
"loss": 0.81, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"eval_loss": 0.8217906951904297, |
|
"eval_runtime": 191.5711, |
|
"eval_samples_per_second": 5.22, |
|
"eval_steps_per_second": 2.61, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"mmlu_eval_accuracy": 0.4667080313375052, |
|
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, |
|
"mmlu_eval_accuracy_anatomy": 0.6428571428571429, |
|
"mmlu_eval_accuracy_astronomy": 0.4375, |
|
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454, |
|
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, |
|
"mmlu_eval_accuracy_college_biology": 0.375, |
|
"mmlu_eval_accuracy_college_chemistry": 0.25, |
|
"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": 0.6363636363636364, |
|
"mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, |
|
"mmlu_eval_accuracy_econometrics": 0.25, |
|
"mmlu_eval_accuracy_electrical_engineering": 0.4375, |
|
"mmlu_eval_accuracy_elementary_mathematics": 0.2926829268292683, |
|
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285, |
|
"mmlu_eval_accuracy_global_facts": 0.4, |
|
"mmlu_eval_accuracy_high_school_biology": 0.375, |
|
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, |
|
"mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, |
|
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, |
|
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, |
|
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, |
|
"mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, |
|
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, |
|
"mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, |
|
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, |
|
"mmlu_eval_accuracy_high_school_psychology": 0.7166666666666667, |
|
"mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, |
|
"mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, |
|
"mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, |
|
"mmlu_eval_accuracy_human_aging": 0.6521739130434783, |
|
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, |
|
"mmlu_eval_accuracy_international_law": 0.8461538461538461, |
|
"mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, |
|
"mmlu_eval_accuracy_logical_fallacies": 0.5, |
|
"mmlu_eval_accuracy_machine_learning": 0.36363636363636365, |
|
"mmlu_eval_accuracy_management": 0.45454545454545453, |
|
"mmlu_eval_accuracy_marketing": 0.68, |
|
"mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, |
|
"mmlu_eval_accuracy_miscellaneous": 0.6395348837209303, |
|
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, |
|
"mmlu_eval_accuracy_moral_scenarios": 0.24, |
|
"mmlu_eval_accuracy_nutrition": 0.5454545454545454, |
|
"mmlu_eval_accuracy_philosophy": 0.47058823529411764, |
|
"mmlu_eval_accuracy_prehistory": 0.5714285714285714, |
|
"mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, |
|
"mmlu_eval_accuracy_professional_law": 0.3352941176470588, |
|
"mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, |
|
"mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, |
|
"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": 0.5, |
|
"mmlu_eval_accuracy_world_religions": 0.6842105263157895, |
|
"mmlu_loss": 1.0138715160499976, |
|
"step": 2000 |
|
} |
|
], |
|
"max_steps": 5000, |
|
"num_train_epochs": 4, |
|
"total_flos": 4.28111794915541e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|