Nous-Hermes-llama-2-7b_7b_cluster012_partitioned_v3_standardized_012
/
checkpoint-1600
/trainer_state.json
| { | |
| "best_metric": 0.6245253086090088, | |
| "best_model_checkpoint": "./output_v2/7b_cluster012_Nous-Hermes-llama-2-7b_partitioned_v3_standardized_012/checkpoint-1600", | |
| "epoch": 1.8529241459177765, | |
| "global_step": 1600, | |
| "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": 0.7418, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7269, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7061, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6809, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6742, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6789, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6628, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6995, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6774, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6716, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6628, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6696, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.648, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6823, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6532, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 0.0002, | |
| "loss": 0.669, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6639, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6582, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6381, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6342, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_loss": 0.6798371076583862, | |
| "eval_runtime": 220.8775, | |
| "eval_samples_per_second": 4.527, | |
| "eval_steps_per_second": 2.264, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "mmlu_eval_accuracy": 0.4661323913730994, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, | |
| "mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
| "mmlu_eval_accuracy_astronomy": 0.5, | |
| "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": 0.3902439024390244, | |
| "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": 0.4090909090909091, | |
| "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": 0.32558139534883723, | |
| "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": 0.2608695652173913, | |
| "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": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.76, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186, | |
| "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.5757575757575758, | |
| "mmlu_eval_accuracy_philosophy": 0.5, | |
| "mmlu_eval_accuracy_prehistory": 0.45714285714285713, | |
| "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, | |
| "mmlu_eval_accuracy_professional_law": 0.35294117647058826, | |
| "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": 0.6818181818181818, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 1.1315238676556718, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6574, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6601, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6499, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6469, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6546, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6681, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6403, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 0.0002, | |
| "loss": 0.676, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6548, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6394, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6173, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6425, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6379, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6191, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6645, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5998, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6402, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6291, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6202, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6532, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_loss": 0.6604505777359009, | |
| "eval_runtime": 220.7584, | |
| "eval_samples_per_second": 4.53, | |
| "eval_steps_per_second": 2.265, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "mmlu_eval_accuracy": 0.466397920486829, | |
| "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": 0.4375, | |
| "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": 0.3902439024390244, | |
| "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": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "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": 0.20689655172413793, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.75, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, | |
| "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": 0.5, | |
| "mmlu_eval_accuracy_international_law": 0.7692307692307693, | |
| "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, | |
| "mmlu_eval_accuracy_management": 0.5454545454545454, | |
| "mmlu_eval_accuracy_marketing": 0.76, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, | |
| "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
| "mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
| "mmlu_eval_accuracy_prehistory": 0.42857142857142855, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.3764705882352941, | |
| "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, | |
| "mmlu_eval_accuracy_professional_psychology": 0.4057971014492754, | |
| "mmlu_eval_accuracy_public_relations": 0.5, | |
| "mmlu_eval_accuracy_security_studies": 0.5925925925925926, | |
| "mmlu_eval_accuracy_sociology": 0.6818181818181818, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 0.9161743937308265, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6487, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6248, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6421, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6679, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6202, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7009, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.627, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6294, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6254, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6174, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6225, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6703, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6232, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6606, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5992, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6118, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0002, | |
| "loss": 0.642, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6149, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6148, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6258, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_loss": 0.6469126343727112, | |
| "eval_runtime": 220.793, | |
| "eval_samples_per_second": 4.529, | |
| "eval_steps_per_second": 2.265, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "mmlu_eval_accuracy": 0.47179539026686096, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
| "mmlu_eval_accuracy_astronomy": 0.5, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "mmlu_eval_accuracy_college_biology": 0.4375, | |
| "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": 0.375, | |
| "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": 0.34375, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "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": 0.20689655172413793, | |
| "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": 0.2608695652173913, | |
| "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": 0.5, | |
| "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": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.5454545454545454, | |
| "mmlu_eval_accuracy_marketing": 0.8, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, | |
| "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.6363636363636364, | |
| "mmlu_eval_accuracy_philosophy": 0.5294117647058824, | |
| "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": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
| "mmlu_eval_accuracy_public_relations": 0.5, | |
| "mmlu_eval_accuracy_security_studies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_sociology": 0.6818181818181818, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7894736842105263, | |
| "mmlu_loss": 0.9272451737102889, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5855, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6213, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6392, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6488, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6377, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6119, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.0002, | |
| "loss": 0.609, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6189, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6444, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6365, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6219, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 0.0002, | |
| "loss": 0.626, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.583, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6017, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0002, | |
| "loss": 0.635, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6216, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5759, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5969, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6033, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6057, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "eval_loss": 0.6383256912231445, | |
| "eval_runtime": 220.6008, | |
| "eval_samples_per_second": 4.533, | |
| "eval_steps_per_second": 2.267, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "mmlu_eval_accuracy": 0.46887372107587305, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, | |
| "mmlu_eval_accuracy_anatomy": 0.5, | |
| "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": 0.18181818181818182, | |
| "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": 0.375, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, | |
| "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": 0.8636363636363636, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, | |
| "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": 0.6818181818181818, | |
| "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": 0.36363636363636365, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.8, | |
| "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": 0.5, | |
| "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": 0.4166666666666667, | |
| "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": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7894736842105263, | |
| "mmlu_loss": 1.0044854765577975, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6071, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5743, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6023, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 0.0002, | |
| "loss": 0.6004, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5766, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.63, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5598, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5241, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5345, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5461, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5186, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5461, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5642, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5216, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5416, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5295, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5407, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 0.0002, | |
| "loss": 0.547, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5566, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5895, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "eval_loss": 0.6423189043998718, | |
| "eval_runtime": 221.1599, | |
| "eval_samples_per_second": 4.522, | |
| "eval_steps_per_second": 2.261, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "mmlu_eval_accuracy": 0.4701589950226067, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, | |
| "mmlu_eval_accuracy_anatomy": 0.5714285714285714, | |
| "mmlu_eval_accuracy_astronomy": 0.4375, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "mmlu_eval_accuracy_college_biology": 0.5, | |
| "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": 0.38461538461538464, | |
| "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": 0.35714285714285715, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "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": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723, | |
| "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": 0.7333333333333333, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
| "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": 0.18181818181818182, | |
| "mmlu_eval_accuracy_management": 0.6363636363636364, | |
| "mmlu_eval_accuracy_marketing": 0.8, | |
| "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": 0.26, | |
| "mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
| "mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
| "mmlu_eval_accuracy_prehistory": 0.45714285714285713, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.34705882352941175, | |
| "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, | |
| "mmlu_eval_accuracy_professional_psychology": 0.391304347826087, | |
| "mmlu_eval_accuracy_public_relations": 0.4166666666666667, | |
| "mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
| "mmlu_eval_accuracy_sociology": 0.7727272727272727, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7894736842105263, | |
| "mmlu_loss": 0.9071105094748129, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5462, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5465, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5454, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5208, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5409, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5412, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5251, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5528, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5449, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5383, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5544, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5287, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5309, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5159, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5343, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5282, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5315, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5492, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5429, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5208, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_loss": 0.6369008421897888, | |
| "eval_runtime": 221.011, | |
| "eval_samples_per_second": 4.525, | |
| "eval_steps_per_second": 2.262, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "mmlu_eval_accuracy": 0.47643388223673894, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, | |
| "mmlu_eval_accuracy_anatomy": 0.6428571428571429, | |
| "mmlu_eval_accuracy_astronomy": 0.4375, | |
| "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, | |
| "mmlu_eval_accuracy_college_biology": 0.5, | |
| "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": 0.5454545454545454, | |
| "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": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "mmlu_eval_accuracy_high_school_biology": 0.40625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714, | |
| "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": 0.35294117647058826, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.75, | |
| "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": 0.6956521739130435, | |
| "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": 0.09090909090909091, | |
| "mmlu_eval_accuracy_management": 0.7272727272727273, | |
| "mmlu_eval_accuracy_marketing": 0.76, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, | |
| "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.26, | |
| "mmlu_eval_accuracy_nutrition": 0.6363636363636364, | |
| "mmlu_eval_accuracy_philosophy": 0.4411764705882353, | |
| "mmlu_eval_accuracy_prehistory": 0.4857142857142857, | |
| "mmlu_eval_accuracy_professional_accounting": 0.1935483870967742, | |
| "mmlu_eval_accuracy_professional_law": 0.3058823529411765, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.37681159420289856, | |
| "mmlu_eval_accuracy_public_relations": 0.4166666666666667, | |
| "mmlu_eval_accuracy_security_studies": 0.5185185185185185, | |
| "mmlu_eval_accuracy_sociology": 0.7727272727272727, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 0.9347293432364264, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5522, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5528, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5721, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5326, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5497, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5476, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5285, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5827, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5332, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5504, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5909, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5266, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5614, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 0.0002, | |
| "loss": 0.517, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5402, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5511, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5385, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5431, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5528, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5535, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "eval_loss": 0.6297795176506042, | |
| "eval_runtime": 221.766, | |
| "eval_samples_per_second": 4.509, | |
| "eval_steps_per_second": 2.255, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "mmlu_eval_accuracy": 0.46949284116120593, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.7142857142857143, | |
| "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": 0.5, | |
| "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": 0.5454545454545454, | |
| "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": 0.375, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, | |
| "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "mmlu_eval_accuracy_high_school_biology": 0.40625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.5, | |
| "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, | |
| "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.5384615384615384, | |
| "mmlu_eval_accuracy_human_aging": 0.6086956521739131, | |
| "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, | |
| "mmlu_eval_accuracy_international_law": 0.6923076923076923, | |
| "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_machine_learning": 0.18181818181818182, | |
| "mmlu_eval_accuracy_management": 0.7272727272727273, | |
| "mmlu_eval_accuracy_marketing": 0.8, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, | |
| "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.6060606060606061, | |
| "mmlu_eval_accuracy_philosophy": 0.4117647058823529, | |
| "mmlu_eval_accuracy_prehistory": 0.4857142857142857, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.32941176470588235, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.36231884057971014, | |
| "mmlu_eval_accuracy_public_relations": 0.4166666666666667, | |
| "mmlu_eval_accuracy_security_studies": 0.48148148148148145, | |
| "mmlu_eval_accuracy_sociology": 0.7727272727272727, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.6842105263157895, | |
| "mmlu_loss": 0.917322517929516, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5332, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5563, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5173, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5432, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5492, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5482, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5191, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5578, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5405, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5499, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5204, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5327, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5495, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5527, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5569, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5626, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5432, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5432, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5325, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 0.0002, | |
| "loss": 0.5136, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "eval_loss": 0.6245253086090088, | |
| "eval_runtime": 222.3896, | |
| "eval_samples_per_second": 4.497, | |
| "eval_steps_per_second": 2.248, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "mmlu_eval_accuracy": 0.47687615586569587, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.7142857142857143, | |
| "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": 0.5625, | |
| "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": 0.45454545454545453, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, | |
| "mmlu_eval_accuracy_econometrics": 0.16666666666666666, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.3125, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, | |
| "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, | |
| "mmlu_eval_accuracy_global_facts": 0.4, | |
| "mmlu_eval_accuracy_high_school_biology": 0.34375, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.5, | |
| "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": 0.5714285714285714, | |
| "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": 0.7833333333333333, | |
| "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": 0.6521739130434783, | |
| "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": 0.2727272727272727, | |
| "mmlu_eval_accuracy_management": 0.7272727272727273, | |
| "mmlu_eval_accuracy_marketing": 0.8, | |
| "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, | |
| "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.24, | |
| "mmlu_eval_accuracy_nutrition": 0.6363636363636364, | |
| "mmlu_eval_accuracy_philosophy": 0.5, | |
| "mmlu_eval_accuracy_prehistory": 0.4, | |
| "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, | |
| "mmlu_eval_accuracy_professional_law": 0.34705882352941175, | |
| "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, | |
| "mmlu_eval_accuracy_professional_psychology": 0.34782608695652173, | |
| "mmlu_eval_accuracy_public_relations": 0.5, | |
| "mmlu_eval_accuracy_security_studies": 0.5555555555555556, | |
| "mmlu_eval_accuracy_sociology": 0.7272727272727273, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, | |
| "mmlu_eval_accuracy_virology": 0.3888888888888889, | |
| "mmlu_eval_accuracy_world_religions": 0.7368421052631579, | |
| "mmlu_loss": 1.0008745580600384, | |
| "step": 1600 | |
| } | |
| ], | |
| "max_steps": 5000, | |
| "num_train_epochs": 6, | |
| "total_flos": 4.014370057017508e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |