diff --git "a/checkpoint-1200/trainer_state.json" "b/checkpoint-1200/trainer_state.json" --- "a/checkpoint-1200/trainer_state.json" +++ "b/checkpoint-1200/trainer_state.json" @@ -1,7 +1,7 @@ { - "best_metric": 0.7805766463279724, + "best_metric": 0.8088108897209167, "best_model_checkpoint": "experts/mistralic-expert-0/checkpoint-1200", - "epoch": 0.43053188626782674, + "epoch": 0.21527559761402879, "eval_steps": 200, "global_step": 1200, "is_hyper_param_search": false, @@ -11,1155 +11,7635 @@ { "epoch": 0.0, "learning_rate": 0.0002, - "loss": 0.8779, + "loss": 0.5264, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.829, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.2202, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7436, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9333, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0676, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.681, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0742, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9134, "step": 10 }, { - "epoch": 0.01, + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8938, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8794, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9485, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8506, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7225, + "step": 18 + }, + { + "epoch": 0.0, "learning_rate": 0.0002, - "loss": 0.8476, + "loss": 0.9012, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.2047, "step": 20 }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8377, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0735, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6917, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8773, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7732, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9571, + "step": 27 + }, { "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8747, + "loss": 0.8992, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6006, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7753, "step": 30 }, { "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8234, - "step": 40 + "loss": 0.8963, + "step": 31 }, { - "epoch": 0.02, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8913, - "step": 50 + "loss": 0.7482, + "step": 32 }, { - "epoch": 0.02, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8766, - "step": 60 + "loss": 0.9586, + "step": 33 }, { - "epoch": 0.03, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7964, - "step": 70 + "loss": 0.9084, + "step": 34 }, { - "epoch": 0.03, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8225, - "step": 80 + "loss": 0.7464, + "step": 35 }, { - "epoch": 0.03, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7962, - "step": 90 + "loss": 0.8636, + "step": 36 }, { - "epoch": 0.04, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8032, - "step": 100 + "loss": 0.7518, + "step": 37 }, { - "epoch": 0.04, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.759, - "step": 110 + "loss": 0.8126, + "step": 38 }, { - "epoch": 0.04, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8303, - "step": 120 + "loss": 0.8262, + "step": 39 }, { - "epoch": 0.05, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7749, - "step": 130 + "loss": 0.744, + "step": 40 }, { - "epoch": 0.05, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8305, - "step": 140 + "loss": 0.5329, + "step": 41 }, { - "epoch": 0.05, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7629, - "step": 150 + "loss": 0.7157, + "step": 42 }, { - "epoch": 0.06, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7844, - "step": 160 + "loss": 0.6823, + "step": 43 }, { - "epoch": 0.06, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8626, - "step": 170 + "loss": 0.6387, + "step": 44 }, { - "epoch": 0.06, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8084, - "step": 180 + "loss": 0.9449, + "step": 45 }, { - "epoch": 0.07, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8335, - "step": 190 + "loss": 0.9559, + "step": 46 }, { - "epoch": 0.07, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8401, - "step": 200 + "loss": 0.879, + "step": 47 }, { - "epoch": 0.07, - "eval_loss": 0.7983039617538452, - "eval_runtime": 119.4534, - "eval_samples_per_second": 8.371, - "eval_steps_per_second": 4.186, - "step": 200 + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9656, + "step": 48 }, { - "epoch": 0.07, - "mmlu_eval_accuracy": 0.5960849689925285, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.5, - "mmlu_eval_accuracy_astronomy": 0.8125, - "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, - "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, - "mmlu_eval_accuracy_college_biology": 0.625, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.5454545454545454, - "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.5, - "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, - "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, - "mmlu_eval_accuracy_global_facts": 0.3, - "mmlu_eval_accuracy_high_school_biology": 0.5625, - "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, - "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, - "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, - "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, - "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, - "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, - "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, - "mmlu_eval_accuracy_high_school_psychology": 0.85, - "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, - "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, - "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, - "mmlu_eval_accuracy_international_law": 0.9230769230769231, - "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, - "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, - "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.88, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, - "mmlu_eval_accuracy_miscellaneous": 0.7906976744186046, - "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, - "mmlu_eval_accuracy_moral_scenarios": 0.31, - "mmlu_eval_accuracy_nutrition": 0.7575757575757576, - "mmlu_eval_accuracy_philosophy": 0.7352941176470589, - "mmlu_eval_accuracy_prehistory": 0.4857142857142857, - "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, - "mmlu_eval_accuracy_professional_law": 0.4, - "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, - "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, - "mmlu_eval_accuracy_public_relations": 0.5, - "mmlu_eval_accuracy_security_studies": 0.6296296296296297, - "mmlu_eval_accuracy_sociology": 0.8636363636363636, - "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, - "mmlu_eval_accuracy_virology": 0.5, - "mmlu_eval_accuracy_world_religions": 0.8421052631578947, - "mmlu_loss": 1.2690573895335509, - "step": 200 + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8203, + "step": 49 }, { - "epoch": 0.08, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8515, - "step": 210 + "loss": 0.9455, + "step": 50 }, { - "epoch": 0.08, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8544, - "step": 220 + "loss": 1.0853, + "step": 51 }, { - "epoch": 0.08, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7662, - "step": 230 + "loss": 0.784, + "step": 52 }, { - "epoch": 0.09, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8548, - "step": 240 + "loss": 0.9081, + "step": 53 }, { - "epoch": 0.09, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.8204, - "step": 250 + "loss": 0.942, + "step": 54 }, { - "epoch": 0.09, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7702, - "step": 260 + "loss": 0.7809, + "step": 55 }, { - "epoch": 0.1, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7709, - "step": 270 + "loss": 0.7745, + "step": 56 }, { - "epoch": 0.1, + "epoch": 0.01, "learning_rate": 0.0002, - "loss": 0.7584, - "step": 280 + "loss": 0.6383, + "step": 57 }, { - "epoch": 0.1, + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.2732, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8463, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8898, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.728, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6242, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0022, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.909, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9811, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8681, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.87, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6002, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7864, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9208, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6811, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9932, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7263, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8073, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8184, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7538, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5079, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8374, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.2674, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8123, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0097, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8635, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8271, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8811, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8141, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8279, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.013, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0494, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8627, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8335, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9933, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9113, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5713, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.13, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.724, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9892, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9359, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8802, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.2836, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8343, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.2152, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0564, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8405, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9903, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5582, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.072, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7892, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9739, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8456, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7781, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9245, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7775, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8333, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9091, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7332, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0164, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7347, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8395, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1135, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0103, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7141, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.785, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7197, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6457, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7132, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7869, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8337, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1292, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9949, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9154, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8191, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7942, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.74, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9031, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8092, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6302, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6542, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8605, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6395, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7311, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8241, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8396, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9689, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7742, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.984, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4838, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8588, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.249, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8495, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7619, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9125, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7001, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.749, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8362, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7113, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8189, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9025, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7475, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 181 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 182 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1451, + "step": 183 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8427, + "step": 184 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0241, + "step": 185 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6195, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8103, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7378, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9548, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8897, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6438, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8215, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5883, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6588, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9593, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.869, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9656, + "step": 200 + }, + { + "epoch": 0.04, + "eval_loss": 0.819197952747345, + "eval_runtime": 120.2102, + "eval_samples_per_second": 8.319, + "eval_steps_per_second": 4.159, + "step": 200 + }, + { + "epoch": 0.04, + "mmlu_eval_accuracy": 0.598886069565307, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "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": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.7878787878787878, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.4235294117647059, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.1897795199958836, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8691, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6466, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8482, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.827, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.786, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7581, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6526, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7893, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6353, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6407, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8251, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7787, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8152, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9103, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7739, + "step": 217 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.875, + "step": 218 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4974, + "step": 219 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8326, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7268, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8219, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8256, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8176, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8006, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7994, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7726, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9446, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8695, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8484, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0515, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6001, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8815, + "step": 233 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 234 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 235 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0574, + "step": 236 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.732, + "step": 237 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0021, + "step": 238 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8112, + "step": 239 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8332, + "step": 240 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6818, + "step": 241 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0446, + "step": 242 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6754, + "step": 243 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8357, + "step": 244 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5055, + "step": 245 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7735, + "step": 246 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8911, + "step": 247 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 248 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6654, + "step": 249 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7916, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8852, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6621, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8455, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7835, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8994, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9058, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7971, + "step": 262 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9496, + "step": 263 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 264 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7886, + "step": 265 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 266 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6809, + "step": 267 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8414, + "step": 268 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8776, + "step": 269 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8006, + "step": 270 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6896, + "step": 271 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8714, + "step": 272 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 273 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 274 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7746, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7707, + "step": 276 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8898, + "step": 277 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 278 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7176, + "step": 279 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9641, + "step": 280 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6647, + "step": 281 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9271, + "step": 282 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 283 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8499, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6656, + "step": 285 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8976, + "step": 286 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7257, + "step": 287 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7333, + "step": 288 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 289 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 290 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6872, + "step": 291 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7407, + "step": 292 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7672, + "step": 293 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7499, + "step": 294 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 295 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8137, + "step": 296 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 297 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8385, + "step": 298 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7339, + "step": 299 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 300 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7619, + "step": 301 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7487, + "step": 302 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 303 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8261, + "step": 304 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7291, + "step": 305 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7985, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6934, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5891, + "step": 309 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5622, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8949, + "step": 311 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9118, + "step": 312 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5318, + "step": 313 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8857, + "step": 314 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 315 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 316 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0887, + "step": 317 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8514, + "step": 318 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8407, + "step": 319 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 320 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7363, + "step": 321 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 322 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9866, + "step": 323 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 324 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1392, + "step": 325 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8666, + "step": 326 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9718, + "step": 327 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 328 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7478, + "step": 329 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9245, + "step": 330 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 331 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.819, + "step": 332 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9994, + "step": 333 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8888, + "step": 334 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9954, + "step": 335 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 336 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.881, + "step": 337 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.89, + "step": 338 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.687, + "step": 339 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8041, + "step": 340 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8261, + "step": 341 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.937, + "step": 342 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7216, + "step": 343 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 344 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5445, + "step": 345 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8157, + "step": 346 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9742, + "step": 347 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9235, + "step": 348 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7944, + "step": 349 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9934, + "step": 350 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9002, + "step": 351 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7322, + "step": 352 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6911, + "step": 353 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0813, + "step": 354 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 355 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8331, + "step": 356 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5794, + "step": 357 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9645, + "step": 358 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.022, + "step": 359 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7269, + "step": 360 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6452, + "step": 361 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1992, + "step": 362 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7354, + "step": 363 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 364 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8158, + "step": 365 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 366 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 367 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 368 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7371, + "step": 369 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7679, + "step": 370 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0635, + "step": 371 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9093, + "step": 372 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9003, + "step": 373 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8673, + "step": 374 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9434, + "step": 375 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7443, + "step": 376 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 377 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8583, + "step": 378 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7994, + "step": 379 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 380 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0633, + "step": 381 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.942, + "step": 382 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 383 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9047, + "step": 384 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0228, + "step": 385 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 386 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.954, + "step": 387 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.93, + "step": 388 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 389 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7213, + "step": 390 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.864, + "step": 391 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6982, + "step": 392 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.773, + "step": 393 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8143, + "step": 394 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 395 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7048, + "step": 396 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 397 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7449, + "step": 398 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8773, + "step": 399 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9398, + "step": 400 + }, + { + "epoch": 0.07, + "eval_loss": 0.8146390914916992, + "eval_runtime": 119.9921, + "eval_samples_per_second": 8.334, + "eval_steps_per_second": 4.167, + "step": 400 + }, + { + "epoch": 0.07, + "mmlu_eval_accuracy": 0.5840454378937088, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7790697674418605, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.2478325493030697, + "step": 400 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8952, + "step": 401 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 402 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9271, + "step": 403 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8853, + "step": 404 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6216, + "step": 405 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9962, + "step": 406 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5766, + "step": 407 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.764, + "step": 408 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 409 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8913, + "step": 410 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8564, + "step": 411 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 412 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 413 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8746, + "step": 414 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9486, + "step": 415 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8353, + "step": 416 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9095, + "step": 417 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6699, + "step": 418 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1071, + "step": 419 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.983, + "step": 420 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5656, + "step": 421 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.675, + "step": 422 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8796, + "step": 423 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9583, + "step": 424 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7425, + "step": 425 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7113, + "step": 426 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8578, + "step": 427 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 428 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.977, + "step": 429 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7728, + "step": 430 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.701, + "step": 431 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5901, + "step": 432 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8082, + "step": 433 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7467, + "step": 434 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 435 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.967, + "step": 436 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9099, + "step": 437 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1272, + "step": 438 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6706, + "step": 439 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.843, + "step": 440 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8487, + "step": 441 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 442 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7837, + "step": 443 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8561, + "step": 444 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9924, + "step": 445 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.636, + "step": 446 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8629, + "step": 447 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5707, + "step": 448 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8511, + "step": 449 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4633, + "step": 450 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 451 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7401, + "step": 452 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8498, + "step": 453 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7354, + "step": 454 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7749, + "step": 455 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9347, + "step": 456 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5879, + "step": 457 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9931, + "step": 458 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7215, + "step": 459 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9971, + "step": 460 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0129, + "step": 461 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0919, + "step": 462 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1395, + "step": 463 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8581, + "step": 464 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7299, + "step": 465 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.749, + "step": 466 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9947, + "step": 467 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7373, + "step": 468 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 469 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8132, + "step": 470 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 471 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 472 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 473 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.1959, + "step": 474 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7402, + "step": 475 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6113, + "step": 476 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 477 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 478 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0373, + "step": 479 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9351, + "step": 480 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8599, + "step": 481 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 482 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.818, + "step": 483 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0831, + "step": 484 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9243, + "step": 485 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8152, + "step": 486 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 487 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7632, + "step": 488 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 489 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9449, + "step": 490 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7717, + "step": 491 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9482, + "step": 492 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5271, + "step": 493 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8563, + "step": 494 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6312, + "step": 495 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0792, + "step": 496 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 497 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0319, + "step": 498 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9515, + "step": 499 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8827, + "step": 500 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4783, + "step": 501 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8084, + "step": 502 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8713, + "step": 503 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7058, + "step": 504 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6528, + "step": 505 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 506 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7397, + "step": 507 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6268, + "step": 508 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0668, + "step": 509 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 510 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8351, + "step": 511 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7186, + "step": 512 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9317, + "step": 513 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5945, + "step": 514 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7909, + "step": 515 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 516 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 517 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 518 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6632, + "step": 519 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6069, + "step": 520 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.525, + "step": 521 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8939, + "step": 522 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7299, + "step": 523 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8089, + "step": 524 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7111, + "step": 525 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9181, + "step": 526 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.768, + "step": 527 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 528 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7758, + "step": 529 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.95, + "step": 530 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8559, + "step": 531 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9042, + "step": 532 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8297, + "step": 533 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0169, + "step": 534 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8675, + "step": 535 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 536 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.631, + "step": 537 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6513, + "step": 538 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6692, + "step": 539 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6927, + "step": 540 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8807, + "step": 541 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8045, + "step": 542 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6948, + "step": 543 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.2426, + "step": 544 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0208, + "step": 545 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6158, + "step": 546 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6377, + "step": 547 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7656, + "step": 548 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9128, + "step": 549 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7771, + "step": 550 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 551 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7297, + "step": 552 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 553 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 554 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6163, + "step": 555 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9973, + "step": 556 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 557 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9604, + "step": 558 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 559 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 560 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9593, + "step": 561 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.789, + "step": 562 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7274, + "step": 563 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9649, + "step": 564 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8848, + "step": 565 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6318, + "step": 566 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 567 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 568 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7481, + "step": 569 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4239, + "step": 570 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.77, + "step": 571 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.728, + "step": 572 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6687, + "step": 573 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0965, + "step": 574 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8505, + "step": 575 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 576 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7896, + "step": 577 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6582, + "step": 578 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 579 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6455, + "step": 580 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9429, + "step": 581 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8702, + "step": 582 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9492, + "step": 583 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 584 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6594, + "step": 585 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6978, + "step": 586 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 587 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.137, + "step": 588 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7552, + "step": 589 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0373, + "step": 590 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 591 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9709, + "step": 592 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0436, + "step": 593 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 594 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 595 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9419, + "step": 596 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7417, + "step": 597 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 598 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7524, + "step": 599 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6241, + "step": 600 + }, + { + "epoch": 0.11, + "eval_loss": 0.8122884035110474, + "eval_runtime": 120.1018, + "eval_samples_per_second": 8.326, + "eval_steps_per_second": 4.163, + "step": 600 + }, + { + "epoch": 0.11, + "mmlu_eval_accuracy": 0.5775488236324069, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.75, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.6666666666666666, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.155314199373554, + "step": 600 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6356, + "step": 601 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6931, + "step": 602 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 603 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7497, + "step": 604 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0151, + "step": 605 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7799, + "step": 606 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4129, + "step": 607 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6497, + "step": 608 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8673, + "step": 609 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8972, + "step": 610 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7414, + "step": 611 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8824, + "step": 612 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8458, + "step": 613 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5602, + "step": 614 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.1145, + "step": 615 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.751, + "step": 616 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.91, + "step": 617 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6223, + "step": 618 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9187, + "step": 619 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8892, + "step": 620 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7446, + "step": 621 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8344, + "step": 622 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8258, + "step": 623 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0045, + "step": 624 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7711, + "step": 625 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9652, + "step": 626 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.977, + "step": 627 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.975, + "step": 628 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9071, + "step": 629 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0192, + "step": 630 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8535, + "step": 631 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 632 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6559, + "step": 633 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8987, + "step": 634 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9118, + "step": 635 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9167, + "step": 636 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9752, + "step": 637 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9444, + "step": 638 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0146, + "step": 639 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 640 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.97, + "step": 641 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8458, + "step": 642 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6694, + "step": 643 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5434, + "step": 644 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5527, + "step": 645 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0355, + "step": 646 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6512, + "step": 647 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9389, + "step": 648 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6727, + "step": 649 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 650 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6009, + "step": 651 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.2096, + "step": 652 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7077, + "step": 653 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8533, + "step": 654 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0063, + "step": 655 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6545, + "step": 656 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6986, + "step": 657 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8059, + "step": 658 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5942, + "step": 659 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9657, + "step": 660 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8902, + "step": 661 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8335, + "step": 662 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 663 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 664 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 665 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 666 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2527, + "step": 667 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9213, + "step": 668 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7374, + "step": 669 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6813, + "step": 670 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7271, + "step": 671 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8961, + "step": 672 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8716, + "step": 673 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4987, + "step": 674 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8746, + "step": 675 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.2122, + "step": 676 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 677 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5627, + "step": 678 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.843, + "step": 679 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 680 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6439, + "step": 681 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7117, + "step": 682 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9306, + "step": 683 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7992, + "step": 684 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9131, + "step": 685 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8099, + "step": 686 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.5372, + "step": 687 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8114, + "step": 688 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8681, + "step": 689 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.001, + "step": 690 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8004, + "step": 691 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0169, + "step": 692 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9716, + "step": 693 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8436, + "step": 694 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8383, + "step": 695 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9273, + "step": 696 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.805, + "step": 697 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 698 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7372, + "step": 699 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6843, + "step": 700 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0615, + "step": 701 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4435, + "step": 702 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0096, + "step": 703 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9595, + "step": 704 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8328, + "step": 705 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6296, + "step": 706 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 707 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.1206, + "step": 708 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7323, + "step": 709 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7574, + "step": 710 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8945, + "step": 711 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6381, + "step": 712 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9567, + "step": 713 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7999, + "step": 714 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8028, + "step": 715 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5545, + "step": 716 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8406, + "step": 717 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9554, + "step": 718 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9843, + "step": 719 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9497, + "step": 720 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0865, + "step": 721 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9369, + "step": 722 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8747, + "step": 723 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 724 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.725, + "step": 725 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7256, + "step": 726 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8308, + "step": 727 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0842, + "step": 728 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 729 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6329, + "step": 730 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7386, + "step": 731 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8152, + "step": 732 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8898, + "step": 733 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9807, + "step": 734 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.548, + "step": 735 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6874, + "step": 736 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9956, + "step": 737 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7104, + "step": 738 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5394, + "step": 739 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7863, + "step": 740 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9701, + "step": 741 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6934, + "step": 742 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 743 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7102, + "step": 744 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7523, + "step": 745 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9494, + "step": 746 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.881, + "step": 747 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7908, + "step": 748 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6808, + "step": 749 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8387, + "step": 750 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8542, + "step": 751 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9962, + "step": 752 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 753 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.77, + "step": 754 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8921, + "step": 755 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0765, + "step": 756 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7215, + "step": 757 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8062, + "step": 758 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7367, + "step": 759 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7853, + "step": 760 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8128, + "step": 761 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 762 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0334, + "step": 763 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6495, + "step": 764 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8573, + "step": 765 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 766 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6943, + "step": 767 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9436, + "step": 768 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8105, + "step": 769 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8338, + "step": 770 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8709, + "step": 771 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 772 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8329, + "step": 773 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9291, + "step": 774 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8712, + "step": 775 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5845, + "step": 776 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8188, + "step": 777 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4564, + "step": 778 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9452, + "step": 779 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9851, + "step": 780 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7869, + "step": 781 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6011, + "step": 782 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7872, + "step": 783 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9304, + "step": 784 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 785 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0458, + "step": 786 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 787 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 788 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 789 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6295, + "step": 790 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 791 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 792 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7778, + "step": 793 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7773, + "step": 794 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7345, + "step": 795 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8149, + "step": 796 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6858, + "step": 797 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8848, + "step": 798 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8424, + "step": 799 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6627, + "step": 800 + }, + { + "epoch": 0.14, + "eval_loss": 0.8102672696113586, + "eval_runtime": 120.0261, + "eval_samples_per_second": 8.332, + "eval_steps_per_second": 4.166, + "step": 800 + }, + { + "epoch": 0.14, + "mmlu_eval_accuracy": 0.5822729953967423, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.38, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.24667573788303, + "step": 800 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7349, + "step": 801 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8926, + "step": 802 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8905, + "step": 803 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 804 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9096, + "step": 805 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8915, + "step": 806 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6685, + "step": 807 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 808 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6852, + "step": 809 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0443, + "step": 810 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 811 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9018, + "step": 812 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8111, + "step": 813 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9451, + "step": 814 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8058, + "step": 815 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0257, + "step": 816 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8692, + "step": 817 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 818 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7625, + "step": 819 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6635, + "step": 820 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7603, + "step": 821 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9596, + "step": 822 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7564, + "step": 823 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0032, + "step": 824 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.831, + "step": 825 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 826 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8368, + "step": 827 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6973, + "step": 828 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7404, + "step": 829 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8406, + "step": 830 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9669, + "step": 831 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9976, + "step": 832 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8777, + "step": 833 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 834 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 835 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9365, + "step": 836 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8458, + "step": 837 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 838 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8132, + "step": 839 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9527, + "step": 840 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7713, + "step": 841 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7706, + "step": 842 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7875, + "step": 843 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6717, + "step": 844 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7642, + "step": 845 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.75, + "step": 846 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6557, + "step": 847 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8093, + "step": 848 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.1117, + "step": 849 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8126, + "step": 850 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6141, + "step": 851 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.216, + "step": 852 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.72, + "step": 853 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9137, + "step": 854 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.029, + "step": 855 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 856 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6809, + "step": 857 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6048, + "step": 858 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7776, + "step": 859 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6477, + "step": 860 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5878, + "step": 861 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8157, + "step": 862 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0297, + "step": 863 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9082, + "step": 864 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8636, + "step": 865 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9638, + "step": 866 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6518, + "step": 867 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9081, + "step": 868 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 869 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7313, + "step": 870 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7721, + "step": 871 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0205, + "step": 872 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5584, + "step": 873 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0349, + "step": 874 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0456, + "step": 875 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9087, + "step": 876 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0519, + "step": 877 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8639, + "step": 878 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7572, + "step": 879 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9824, + "step": 880 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5098, + "step": 881 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9407, + "step": 882 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 883 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 884 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8067, + "step": 885 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6769, + "step": 886 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5499, + "step": 887 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9525, + "step": 888 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7992, + "step": 889 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 890 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8118, + "step": 891 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8176, + "step": 892 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0351, + "step": 893 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7835, + "step": 894 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9283, + "step": 895 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8568, + "step": 896 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.939, + "step": 897 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 898 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7237, + "step": 899 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 900 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7082, + "step": 901 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0502, + "step": 902 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7895, + "step": 903 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7635, + "step": 904 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8228, + "step": 905 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8439, + "step": 906 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8659, + "step": 907 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.3819, + "step": 908 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7967, + "step": 909 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 910 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.1273, + "step": 911 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0413, + "step": 912 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6612, + "step": 913 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 914 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7759, + "step": 915 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.848, + "step": 916 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8788, + "step": 917 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0118, + "step": 918 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9246, + "step": 919 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8681, + "step": 920 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6518, + "step": 921 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8517, + "step": 922 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8253, + "step": 923 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7183, + "step": 924 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 925 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7671, + "step": 926 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6801, + "step": 927 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9189, + "step": 928 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9451, + "step": 929 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8237, + "step": 930 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0214, + "step": 931 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9972, + "step": 932 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9342, + "step": 933 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8488, + "step": 934 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8945, + "step": 935 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9811, + "step": 936 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9587, + "step": 937 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7897, + "step": 938 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.793, + "step": 939 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 940 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7604, + "step": 941 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0987, + "step": 942 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 943 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7157, + "step": 944 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5994, + "step": 945 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7723, + "step": 946 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.997, + "step": 947 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7381, + "step": 948 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7236, + "step": 949 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.1055, + "step": 950 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8061, + "step": 951 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8286, + "step": 952 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9728, + "step": 953 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 954 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6802, + "step": 955 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7981, + "step": 956 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7531, + "step": 957 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8957, + "step": 958 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8334, + "step": 959 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7717, + "step": 960 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8412, + "step": 961 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5571, + "step": 962 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 963 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.605, + "step": 964 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8041, + "step": 965 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 966 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 967 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9486, + "step": 968 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0114, + "step": 969 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6379, + "step": 970 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6591, + "step": 971 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8938, + "step": 972 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6101, + "step": 973 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8045, + "step": 974 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7324, + "step": 975 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7788, + "step": 976 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 977 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6762, + "step": 978 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0155, + "step": 979 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7408, + "step": 980 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8656, + "step": 981 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 982 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9636, + "step": 983 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7963, + "step": 984 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 985 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 986 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5622, + "step": 987 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 988 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8865, + "step": 989 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8393, + "step": 990 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 991 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9986, + "step": 992 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5276, + "step": 993 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8268, + "step": 994 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9159, + "step": 995 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 996 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.745, + "step": 997 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6313, + "step": 998 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0211, + "step": 999 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7744, + "step": 1000 + }, + { + "epoch": 0.18, + "eval_loss": 0.8099237084388733, + "eval_runtime": 120.1218, + "eval_samples_per_second": 8.325, + "eval_steps_per_second": 4.162, + "step": 1000 + }, + { + "epoch": 0.18, + "mmlu_eval_accuracy": 0.5733945104551192, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.6666666666666666, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.4117647058823529, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.3333333333333333, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.233580312475212, + "step": 1000 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9884, + "step": 1001 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 1002 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7407, + "step": 1003 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9994, + "step": 1004 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4772, + "step": 1005 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6857, + "step": 1006 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 1007 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5209, + "step": 1008 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5138, + "step": 1009 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6956, + "step": 1010 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8676, + "step": 1011 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.647, + "step": 1012 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9174, + "step": 1013 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 1014 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 1015 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7933, + "step": 1016 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7837, + "step": 1017 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9667, + "step": 1018 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7731, + "step": 1019 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8228, + "step": 1020 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 1021 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9746, + "step": 1022 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0127, + "step": 1023 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.1577, + "step": 1024 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7684, + "step": 1025 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5803, + "step": 1026 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8425, + "step": 1027 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8765, + "step": 1028 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.4075, + "step": 1029 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8019, + "step": 1030 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 1031 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6683, + "step": 1032 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7524, + "step": 1033 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0455, + "step": 1034 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9615, + "step": 1035 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 1036 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7846, + "step": 1037 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.106, + "step": 1038 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.2221, + "step": 1039 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8795, + "step": 1040 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 1041 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9716, + "step": 1042 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.1039, + "step": 1043 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.764, + "step": 1044 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8904, + "step": 1045 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8369, + "step": 1046 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9216, + "step": 1047 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 1048 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.938, + "step": 1049 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6673, + "step": 1050 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.821, + "step": 1051 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8687, + "step": 1052 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6174, + "step": 1053 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 1054 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8766, + "step": 1055 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7078, + "step": 1056 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7375, + "step": 1057 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 1058 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.741, + "step": 1059 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6121, + "step": 1060 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.715, + "step": 1061 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.66, + "step": 1062 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.877, + "step": 1063 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.697, + "step": 1064 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7048, + "step": 1065 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0353, + "step": 1066 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 1067 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7002, + "step": 1068 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 1069 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 1070 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5144, + "step": 1071 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8734, + "step": 1072 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8636, + "step": 1073 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 1074 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.1773, + "step": 1075 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.825, + "step": 1076 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9007, + "step": 1077 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7527, + "step": 1078 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8812, + "step": 1079 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.881, + "step": 1080 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8933, + "step": 1081 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5951, + "step": 1082 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6243, + "step": 1083 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 1084 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9126, + "step": 1085 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5971, + "step": 1086 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9161, + "step": 1087 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 1088 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6131, + "step": 1089 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7779, + "step": 1090 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7351, + "step": 1091 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 1092 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 1093 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 1094 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 1095 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.934, + "step": 1096 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7564, + "step": 1097 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8437, + "step": 1098 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7004, + "step": 1099 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8927, + "step": 1100 + }, + { + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7831, - "step": 290 + "loss": 0.6849, + "step": 1101 }, { - "epoch": 0.11, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8402, - "step": 300 + "loss": 0.9785, + "step": 1102 }, { - "epoch": 0.11, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7957, - "step": 310 + "loss": 1.1522, + "step": 1103 }, { - "epoch": 0.11, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8712, - "step": 320 + "loss": 0.7161, + "step": 1104 }, { - "epoch": 0.12, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7969, - "step": 330 + "loss": 0.6762, + "step": 1105 }, { - "epoch": 0.12, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7617, - "step": 340 + "loss": 0.5125, + "step": 1106 }, { - "epoch": 0.13, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8363, - "step": 350 + "loss": 0.9352, + "step": 1107 }, { - "epoch": 0.13, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8466, - "step": 360 + "loss": 0.739, + "step": 1108 }, { - "epoch": 0.13, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8057, - "step": 370 + "loss": 0.8282, + "step": 1109 }, { - "epoch": 0.14, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8214, - "step": 380 + "loss": 1.192, + "step": 1110 }, { - "epoch": 0.14, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.812, - "step": 390 + "loss": 0.8171, + "step": 1111 }, { - "epoch": 0.14, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7665, - "step": 400 + "loss": 1.1589, + "step": 1112 }, { - "epoch": 0.14, - "eval_loss": 0.7917793393135071, - "eval_runtime": 119.0164, - "eval_samples_per_second": 8.402, - "eval_steps_per_second": 4.201, - "step": 400 + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6615, + "step": 1113 }, { - "epoch": 0.14, - "mmlu_eval_accuracy": 0.5963053096671925, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.42857142857142855, - "mmlu_eval_accuracy_astronomy": 0.75, - "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, - "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, - "mmlu_eval_accuracy_college_biology": 0.5625, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, - "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.5454545454545454, - "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.6875, - "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, - "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.4, - "mmlu_eval_accuracy_high_school_biology": 0.5625, - "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": 0.8636363636363636, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, - "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, - "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, - "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, - "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, - "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, - "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, - "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, - "mmlu_eval_accuracy_international_law": 0.9230769230769231, - "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, - "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.88, - "mmlu_eval_accuracy_medical_genetics": 1.0, - "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, - "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, - "mmlu_eval_accuracy_moral_scenarios": 0.31, - "mmlu_eval_accuracy_nutrition": 0.696969696969697, - "mmlu_eval_accuracy_philosophy": 0.7647058823529411, - "mmlu_eval_accuracy_prehistory": 0.5714285714285714, - "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, - "mmlu_eval_accuracy_professional_law": 0.40588235294117647, - "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, - "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, - "mmlu_eval_accuracy_public_relations": 0.5, - "mmlu_eval_accuracy_security_studies": 0.5925925925925926, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, - "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, - "mmlu_eval_accuracy_virology": 0.5, - "mmlu_eval_accuracy_world_religions": 0.8947368421052632, - "mmlu_loss": 1.4978953666848862, - "step": 400 + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9842, + "step": 1114 }, { - "epoch": 0.15, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8155, - "step": 410 + "loss": 0.878, + "step": 1115 }, { - "epoch": 0.15, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8196, - "step": 420 + "loss": 0.8462, + "step": 1116 }, { - "epoch": 0.15, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7908, - "step": 430 + "loss": 0.8861, + "step": 1117 }, { - "epoch": 0.16, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.9, - "step": 440 + "loss": 0.6377, + "step": 1118 }, { - "epoch": 0.16, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8223, - "step": 450 + "loss": 1.0122, + "step": 1119 }, { - "epoch": 0.17, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8565, - "step": 460 + "loss": 0.7613, + "step": 1120 }, { - "epoch": 0.17, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8335, - "step": 470 + "loss": 0.8743, + "step": 1121 }, { - "epoch": 0.17, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8257, - "step": 480 + "loss": 0.9053, + "step": 1122 }, { - "epoch": 0.18, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7703, - "step": 490 + "loss": 0.8195, + "step": 1123 }, { - "epoch": 0.18, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7781, - "step": 500 + "loss": 0.6983, + "step": 1124 }, { - "epoch": 0.18, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7646, - "step": 510 + "loss": 0.679, + "step": 1125 }, { - "epoch": 0.19, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8506, - "step": 520 + "loss": 0.831, + "step": 1126 }, { - "epoch": 0.19, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7818, - "step": 530 + "loss": 0.7893, + "step": 1127 }, { - "epoch": 0.19, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7922, - "step": 540 + "loss": 0.9428, + "step": 1128 }, { "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7783, - "step": 550 + "loss": 0.7274, + "step": 1129 }, { "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8566, - "step": 560 + "loss": 0.3981, + "step": 1130 }, { "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8016, - "step": 570 + "loss": 0.8938, + "step": 1131 }, { - "epoch": 0.21, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8165, - "step": 580 + "loss": 0.68, + "step": 1132 }, { - "epoch": 0.21, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7599, - "step": 590 + "loss": 0.762, + "step": 1133 }, { - "epoch": 0.22, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.768, - "step": 600 + "loss": 1.0052, + "step": 1134 }, { - "epoch": 0.22, - "eval_loss": 0.7908002734184265, - "eval_runtime": 119.1725, - "eval_samples_per_second": 8.391, - "eval_steps_per_second": 4.196, - "step": 600 + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 1135 }, { - "epoch": 0.22, - "mmlu_eval_accuracy": 0.5754860642925688, - "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, - "mmlu_eval_accuracy_anatomy": 0.5714285714285714, - "mmlu_eval_accuracy_astronomy": 0.6875, - "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, - "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, - "mmlu_eval_accuracy_college_biology": 0.5625, - "mmlu_eval_accuracy_college_chemistry": 0.25, - "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, - "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.6363636363636364, - "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.4375, - "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, - "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.3, - "mmlu_eval_accuracy_high_school_biology": 0.59375, - "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": 0.7727272727272727, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, - "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, - "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, - "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, - "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, - "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, - "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, - "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, - "mmlu_eval_accuracy_human_aging": 0.782608695652174, - "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, - "mmlu_eval_accuracy_international_law": 1.0, - "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, - "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, - "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, - "mmlu_eval_accuracy_management": 0.8181818181818182, - "mmlu_eval_accuracy_marketing": 0.92, - "mmlu_eval_accuracy_medical_genetics": 1.0, - "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, - "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, - "mmlu_eval_accuracy_moral_scenarios": 0.36, - "mmlu_eval_accuracy_nutrition": 0.696969696969697, - "mmlu_eval_accuracy_philosophy": 0.7352941176470589, - "mmlu_eval_accuracy_prehistory": 0.5428571428571428, - "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, - "mmlu_eval_accuracy_professional_law": 0.3411764705882353, - "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, - "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, - "mmlu_eval_accuracy_public_relations": 0.5, - "mmlu_eval_accuracy_security_studies": 0.5185185185185185, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, - "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, - "mmlu_eval_accuracy_virology": 0.5555555555555556, - "mmlu_eval_accuracy_world_religions": 0.7894736842105263, - "mmlu_loss": 1.22548696083593, - "step": 600 + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.014, + "step": 1136 }, { - "epoch": 0.22, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7712, - "step": 610 + "loss": 0.7173, + "step": 1137 }, { - "epoch": 0.22, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7589, - "step": 620 + "loss": 0.5893, + "step": 1138 }, { - "epoch": 0.23, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8275, - "step": 630 + "loss": 1.1284, + "step": 1139 }, { - "epoch": 0.23, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8018, - "step": 640 + "loss": 0.9059, + "step": 1140 }, { - "epoch": 0.23, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.7783, - "step": 650 + "loss": 0.7536, + "step": 1141 }, { - "epoch": 0.24, + "epoch": 0.2, "learning_rate": 0.0002, - "loss": 0.8121, - "step": 660 + "loss": 0.6125, + "step": 1142 }, { - "epoch": 0.24, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8181, - "step": 670 + "loss": 0.7951, + "step": 1143 }, { - "epoch": 0.24, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7267, - "step": 680 + "loss": 0.741, + "step": 1144 }, { - "epoch": 0.25, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8174, - "step": 690 + "loss": 0.8551, + "step": 1145 }, { - "epoch": 0.25, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7569, - "step": 700 + "loss": 0.6547, + "step": 1146 }, { - "epoch": 0.25, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8414, - "step": 710 + "loss": 0.8885, + "step": 1147 }, { - "epoch": 0.26, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7667, - "step": 720 + "loss": 0.5953, + "step": 1148 }, { - "epoch": 0.26, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7613, - "step": 730 + "loss": 0.6163, + "step": 1149 }, { - "epoch": 0.27, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7888, - "step": 740 + "loss": 0.9619, + "step": 1150 }, { - "epoch": 0.27, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8222, - "step": 750 + "loss": 0.7336, + "step": 1151 }, { - "epoch": 0.27, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8171, - "step": 760 + "loss": 0.7697, + "step": 1152 }, { - "epoch": 0.28, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8108, - "step": 770 + "loss": 0.8312, + "step": 1153 }, { - "epoch": 0.28, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8173, - "step": 780 + "loss": 0.8344, + "step": 1154 }, { - "epoch": 0.28, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7818, - "step": 790 + "loss": 0.7553, + "step": 1155 }, { - "epoch": 0.29, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8018, - "step": 800 + "loss": 1.0345, + "step": 1156 }, { - "epoch": 0.29, - "eval_loss": 0.7824653387069702, - "eval_runtime": 119.1607, - "eval_samples_per_second": 8.392, - "eval_steps_per_second": 4.196, - "step": 800 + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 1157 }, { - "epoch": 0.29, - "mmlu_eval_accuracy": 0.5920750532808338, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.5, - "mmlu_eval_accuracy_astronomy": 0.75, - "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, - "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, - "mmlu_eval_accuracy_college_biology": 0.625, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, - "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.5454545454545454, - "mmlu_eval_accuracy_computer_security": 0.7272727272727273, - "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.5625, - "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, - "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.4, - "mmlu_eval_accuracy_high_school_biology": 0.59375, - "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, - "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, - "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, - "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, - "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, - "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, - "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, - "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, - "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, - "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, - "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5, - "mmlu_eval_accuracy_international_law": 1.0, - "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, - "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.88, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, - "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, - "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, - "mmlu_eval_accuracy_moral_scenarios": 0.41, - "mmlu_eval_accuracy_nutrition": 0.696969696969697, - "mmlu_eval_accuracy_philosophy": 0.6764705882352942, - "mmlu_eval_accuracy_prehistory": 0.6, - "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, - "mmlu_eval_accuracy_professional_law": 0.3588235294117647, - "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, - "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, - "mmlu_eval_accuracy_public_relations": 0.5833333333333334, - "mmlu_eval_accuracy_security_studies": 0.48148148148148145, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, - "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.5, - "mmlu_eval_accuracy_world_religions": 0.8947368421052632, - "mmlu_loss": 1.2784218954666475, - "step": 800 + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9394, + "step": 1158 }, { - "epoch": 0.29, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8091, - "step": 810 + "loss": 0.9296, + "step": 1159 }, { - "epoch": 0.29, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7372, - "step": 820 + "loss": 0.9676, + "step": 1160 }, { - "epoch": 0.3, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8131, - "step": 830 + "loss": 0.5795, + "step": 1161 }, { - "epoch": 0.3, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7849, - "step": 840 + "loss": 1.0122, + "step": 1162 }, { - "epoch": 0.3, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7493, - "step": 850 + "loss": 1.0379, + "step": 1163 }, { - "epoch": 0.31, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8526, - "step": 860 + "loss": 0.9732, + "step": 1164 }, { - "epoch": 0.31, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8205, - "step": 870 + "loss": 0.7463, + "step": 1165 }, { - "epoch": 0.32, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8178, - "step": 880 + "loss": 0.6577, + "step": 1166 }, { - "epoch": 0.32, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7811, - "step": 890 + "loss": 0.9141, + "step": 1167 }, { - "epoch": 0.32, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7714, - "step": 900 + "loss": 0.6224, + "step": 1168 }, { - "epoch": 0.33, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7801, - "step": 910 + "loss": 0.6755, + "step": 1169 }, { - "epoch": 0.33, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7892, - "step": 920 + "loss": 0.7448, + "step": 1170 }, { - "epoch": 0.33, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7387, - "step": 930 + "loss": 0.8902, + "step": 1171 }, { - "epoch": 0.34, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7883, - "step": 940 + "loss": 0.6378, + "step": 1172 }, { - "epoch": 0.34, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8275, - "step": 950 + "loss": 0.8829, + "step": 1173 }, { - "epoch": 0.34, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8036, - "step": 960 + "loss": 0.6271, + "step": 1174 }, { - "epoch": 0.35, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8339, - "step": 970 + "loss": 0.829, + "step": 1175 }, { - "epoch": 0.35, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8275, - "step": 980 + "loss": 0.6688, + "step": 1176 }, { - "epoch": 0.36, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.807, - "step": 990 + "loss": 0.7943, + "step": 1177 }, { - "epoch": 0.36, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7536, - "step": 1000 + "loss": 0.7687, + "step": 1178 }, { - "epoch": 0.36, - "eval_loss": 0.7809625267982483, - "eval_runtime": 119.1269, - "eval_samples_per_second": 8.394, - "eval_steps_per_second": 4.197, - "step": 1000 + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.574, + "step": 1179 }, { - "epoch": 0.36, - "mmlu_eval_accuracy": 0.5879325165236478, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.5, - "mmlu_eval_accuracy_astronomy": 0.8125, - "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, - "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, - "mmlu_eval_accuracy_college_biology": 0.5, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, - "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.6363636363636364, - "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.5, - "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, - "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, - "mmlu_eval_accuracy_global_facts": 0.4, - "mmlu_eval_accuracy_high_school_biology": 0.53125, - "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, - "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, - "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, - "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, - "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, - "mmlu_eval_accuracy_high_school_microeconomics": 0.7692307692307693, - "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, - "mmlu_eval_accuracy_high_school_psychology": 0.85, - "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, - "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, - "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5, - "mmlu_eval_accuracy_international_law": 0.9230769230769231, - "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, - "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.88, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, - "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, - "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, - "mmlu_eval_accuracy_moral_scenarios": 0.38, - "mmlu_eval_accuracy_nutrition": 0.6363636363636364, - "mmlu_eval_accuracy_philosophy": 0.6764705882352942, - "mmlu_eval_accuracy_prehistory": 0.6571428571428571, - "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, - "mmlu_eval_accuracy_professional_law": 0.38235294117647056, - "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, - "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, - "mmlu_eval_accuracy_public_relations": 0.5, - "mmlu_eval_accuracy_security_studies": 0.5925925925925926, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, - "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.5, - "mmlu_eval_accuracy_world_religions": 0.9473684210526315, - "mmlu_loss": 1.3696499114792902, - "step": 1000 + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7261, + "step": 1180 }, { - "epoch": 0.36, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7769, - "step": 1010 + "loss": 0.7134, + "step": 1181 }, { - "epoch": 0.37, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7913, - "step": 1020 + "loss": 1.0088, + "step": 1182 }, { - "epoch": 0.37, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7663, - "step": 1030 + "loss": 0.6574, + "step": 1183 }, { - "epoch": 0.37, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8283, - "step": 1040 + "loss": 0.5751, + "step": 1184 }, { - "epoch": 0.38, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7691, - "step": 1050 + "loss": 0.4795, + "step": 1185 }, { - "epoch": 0.38, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8158, - "step": 1060 + "loss": 0.4943, + "step": 1186 }, { - "epoch": 0.38, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8084, - "step": 1070 + "loss": 0.7801, + "step": 1187 }, { - "epoch": 0.39, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8508, - "step": 1080 + "loss": 0.6625, + "step": 1188 }, { - "epoch": 0.39, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.734, - "step": 1090 + "loss": 0.9798, + "step": 1189 }, { - "epoch": 0.39, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7645, - "step": 1100 + "loss": 0.8326, + "step": 1190 }, { - "epoch": 0.4, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8286, - "step": 1110 + "loss": 0.8879, + "step": 1191 }, { - "epoch": 0.4, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7868, - "step": 1120 + "loss": 0.8049, + "step": 1192 }, { - "epoch": 0.41, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8213, - "step": 1130 + "loss": 0.9478, + "step": 1193 }, { - "epoch": 0.41, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.8405, - "step": 1140 + "loss": 0.8146, + "step": 1194 }, { - "epoch": 0.41, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7747, - "step": 1150 + "loss": 0.7259, + "step": 1195 }, { - "epoch": 0.42, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.784, - "step": 1160 + "loss": 0.9866, + "step": 1196 }, { - "epoch": 0.42, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7624, - "step": 1170 + "loss": 0.6743, + "step": 1197 }, { - "epoch": 0.42, + "epoch": 0.21, "learning_rate": 0.0002, - "loss": 0.7944, - "step": 1180 + "loss": 0.6869, + "step": 1198 }, { - "epoch": 0.43, + "epoch": 0.22, "learning_rate": 0.0002, - "loss": 0.8409, - "step": 1190 + "loss": 0.8121, + "step": 1199 }, { - "epoch": 0.43, + "epoch": 0.22, "learning_rate": 0.0002, - "loss": 0.8438, + "loss": 0.6509, "step": 1200 }, { - "epoch": 0.43, - "eval_loss": 0.7805766463279724, - "eval_runtime": 119.1262, - "eval_samples_per_second": 8.394, - "eval_steps_per_second": 4.197, + "epoch": 0.22, + "eval_loss": 0.8088108897209167, + "eval_runtime": 120.0821, + "eval_samples_per_second": 8.328, + "eval_steps_per_second": 4.164, "step": 1200 }, { - "epoch": 0.43, - "mmlu_eval_accuracy": 0.5875597911670384, + "epoch": 0.22, + "mmlu_eval_accuracy": 0.5466414321349508, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, - "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_astronomy": 0.625, "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, - "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, "mmlu_eval_accuracy_college_biology": 0.5, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, - "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, - "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, "mmlu_eval_accuracy_conceptual_physics": 0.5, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.625, - "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.5, - "mmlu_eval_accuracy_high_school_biology": 0.59375, - "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, - "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, - "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, - "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, - "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, - "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, - "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, - "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, - "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, "mmlu_eval_accuracy_human_aging": 0.7391304347826086, "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, - "mmlu_eval_accuracy_international_law": 0.9230769230769231, - "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, - "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.8, - "mmlu_eval_accuracy_medical_genetics": 1.0, - "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, - "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, - "mmlu_eval_accuracy_moral_scenarios": 0.35, - "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.4473684210526316, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, "mmlu_eval_accuracy_philosophy": 0.6764705882352942, "mmlu_eval_accuracy_prehistory": 0.6, - "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, - "mmlu_eval_accuracy_professional_law": 0.4117647058823529, - "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, - "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, - "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.3411764705882353, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, "mmlu_eval_accuracy_security_studies": 0.6296296296296297, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.3888888888888889, - "mmlu_eval_accuracy_world_religions": 0.8947368421052632, - "mmlu_loss": 1.2426614148187263, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.0881710131081215, "step": 1200 } ], - "logging_steps": 10, - "max_steps": 8361, + "logging_steps": 1, + "max_steps": 16722, "num_train_epochs": 3, "save_steps": 200, - "total_flos": 5.469317861796741e+17, + "total_flos": 1.9460732365386547e+17, "trial_name": null, "trial_params": null }