{ "best_metric": 1.8478573560714722, "best_model_checkpoint": "./llmTechChat-lora/checkpoint-320", "epoch": 1.981293842556508, "eval_steps": 40, "global_step": 320, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 2.9999999999999997e-05, "loss": 4.3577, "step": 1 }, { "epoch": 0.01, "eval_loss": 4.326064109802246, "eval_runtime": 288.7431, "eval_samples_per_second": 206.796, "eval_steps_per_second": 206.796, "step": 1 }, { "epoch": 0.01, "learning_rate": 5.9999999999999995e-05, "loss": 4.2951, "step": 2 }, { "epoch": 0.02, "learning_rate": 8.999999999999999e-05, "loss": 3.9156, "step": 3 }, { "epoch": 0.02, "learning_rate": 0.00011999999999999999, "loss": 3.4836, "step": 4 }, { "epoch": 0.03, "learning_rate": 0.00015, "loss": 3.1743, "step": 5 }, { "epoch": 0.04, "learning_rate": 0.00017999999999999998, "loss": 2.8242, "step": 6 }, { "epoch": 0.04, "learning_rate": 0.00020999999999999998, "loss": 2.7478, "step": 7 }, { "epoch": 0.05, "learning_rate": 0.00023999999999999998, "loss": 2.7198, "step": 8 }, { "epoch": 0.06, "learning_rate": 0.00027, "loss": 2.6025, "step": 9 }, { "epoch": 0.06, "learning_rate": 0.0003, "loss": 2.5337, "step": 10 }, { "epoch": 0.07, "learning_rate": 0.00029999813499925374, "loss": 2.5019, "step": 11 }, { "epoch": 0.07, "learning_rate": 0.0002999925400433914, "loss": 2.3393, "step": 12 }, { "epoch": 0.08, "learning_rate": 0.00029998321527154097, "loss": 2.3796, "step": 13 }, { "epoch": 0.09, "learning_rate": 0.0002999701609155785, "loss": 2.3054, "step": 14 }, { "epoch": 0.09, "learning_rate": 0.0002999533773001224, "loss": 2.2898, "step": 15 }, { "epoch": 0.1, "learning_rate": 0.00029993286484252544, "loss": 2.2254, "step": 16 }, { "epoch": 0.11, "learning_rate": 0.00029990862405286433, "loss": 2.2197, "step": 17 }, { "epoch": 0.11, "learning_rate": 0.0002998806555339269, "loss": 2.1797, "step": 18 }, { "epoch": 0.12, "learning_rate": 0.0002998489599811972, "loss": 2.1854, "step": 19 }, { "epoch": 0.12, "learning_rate": 0.0002998135381828383, "loss": 2.2105, "step": 20 }, { "epoch": 0.13, "learning_rate": 0.00029977439101967274, "loss": 2.1866, "step": 21 }, { "epoch": 0.14, "learning_rate": 0.00029973151946516025, "loss": 2.1718, "step": 22 }, { "epoch": 0.14, "learning_rate": 0.0002996849245853739, "loss": 2.1158, "step": 23 }, { "epoch": 0.15, "learning_rate": 0.0002996346075389736, "loss": 2.1495, "step": 24 }, { "epoch": 0.16, "learning_rate": 0.00029958056957717696, "loss": 2.1326, "step": 25 }, { "epoch": 0.16, "learning_rate": 0.00029952281204372863, "loss": 2.1391, "step": 26 }, { "epoch": 0.17, "learning_rate": 0.0002994613363748664, "loss": 2.1039, "step": 27 }, { "epoch": 0.17, "learning_rate": 0.00029939614409928584, "loss": 2.132, "step": 28 }, { "epoch": 0.18, "learning_rate": 0.00029932723683810225, "loss": 2.1278, "step": 29 }, { "epoch": 0.19, "learning_rate": 0.0002992546163048102, "loss": 2.0698, "step": 30 }, { "epoch": 0.19, "learning_rate": 0.00029917828430524096, "loss": 2.0757, "step": 31 }, { "epoch": 0.2, "learning_rate": 0.0002990982427375177, "loss": 2.0689, "step": 32 }, { "epoch": 0.21, "learning_rate": 0.0002990144935920083, "loss": 2.0986, "step": 33 }, { "epoch": 0.21, "learning_rate": 0.0002989270389512756, "loss": 2.058, "step": 34 }, { "epoch": 0.22, "learning_rate": 0.0002988358809900258, "loss": 2.0451, "step": 35 }, { "epoch": 0.22, "learning_rate": 0.00029874102197505447, "loss": 2.0613, "step": 36 }, { "epoch": 0.23, "learning_rate": 0.0002986424642651902, "loss": 2.0796, "step": 37 }, { "epoch": 0.24, "learning_rate": 0.0002985402103112355, "loss": 2.086, "step": 38 }, { "epoch": 0.24, "learning_rate": 0.00029843426265590656, "loss": 2.0275, "step": 39 }, { "epoch": 0.25, "learning_rate": 0.0002983246239337692, "loss": 2.0615, "step": 40 }, { "epoch": 0.25, "eval_loss": 2.0476396083831787, "eval_runtime": 289.9408, "eval_samples_per_second": 205.942, "eval_steps_per_second": 205.942, "step": 40 }, { "epoch": 0.26, "learning_rate": 0.0002982112968711744, "loss": 2.1012, "step": 41 }, { "epoch": 0.26, "learning_rate": 0.0002980942842861893, "loss": 2.0537, "step": 42 }, { "epoch": 0.27, "learning_rate": 0.00029797358908852816, "loss": 2.0595, "step": 43 }, { "epoch": 0.27, "learning_rate": 0.00029784921427947946, "loss": 2.0409, "step": 44 }, { "epoch": 0.28, "learning_rate": 0.0002977211629518312, "loss": 2.0045, "step": 45 }, { "epoch": 0.29, "learning_rate": 0.00029758943828979444, "loss": 2.0176, "step": 46 }, { "epoch": 0.29, "learning_rate": 0.0002974540435689237, "loss": 2.0189, "step": 47 }, { "epoch": 0.3, "learning_rate": 0.0002973149821560358, "loss": 2.0169, "step": 48 }, { "epoch": 0.31, "learning_rate": 0.00029717225750912585, "loss": 2.0553, "step": 49 }, { "epoch": 0.31, "learning_rate": 0.00029702587317728153, "loss": 2.0569, "step": 50 }, { "epoch": 0.32, "learning_rate": 0.0002968758328005947, "loss": 2.0522, "step": 51 }, { "epoch": 0.32, "learning_rate": 0.0002967221401100708, "loss": 2.0285, "step": 52 }, { "epoch": 0.33, "learning_rate": 0.00029656479892753635, "loss": 2.0266, "step": 53 }, { "epoch": 0.34, "learning_rate": 0.0002964038131655436, "loss": 2.0161, "step": 54 }, { "epoch": 0.34, "learning_rate": 0.0002962391868272735, "loss": 2.0122, "step": 55 }, { "epoch": 0.35, "learning_rate": 0.00029607092400643593, "loss": 1.9926, "step": 56 }, { "epoch": 0.36, "learning_rate": 0.000295899028887168, "loss": 2.0123, "step": 57 }, { "epoch": 0.36, "learning_rate": 0.0002957235057439301, "loss": 2.0121, "step": 58 }, { "epoch": 0.37, "learning_rate": 0.0002955443589413994, "loss": 2.0245, "step": 59 }, { "epoch": 0.37, "learning_rate": 0.00029536159293436166, "loss": 2.0127, "step": 60 }, { "epoch": 0.38, "learning_rate": 0.0002951752122676, "loss": 2.0057, "step": 61 }, { "epoch": 0.39, "learning_rate": 0.000294985221575782, "loss": 2.0226, "step": 62 }, { "epoch": 0.39, "learning_rate": 0.0002947916255833451, "loss": 2.0032, "step": 63 }, { "epoch": 0.4, "learning_rate": 0.00029459442910437797, "loss": 2.045, "step": 64 }, { "epoch": 0.41, "learning_rate": 0.00029439363704250176, "loss": 1.9794, "step": 65 }, { "epoch": 0.41, "learning_rate": 0.0002941892543907478, "loss": 2.0009, "step": 66 }, { "epoch": 0.42, "learning_rate": 0.0002939812862314333, "loss": 1.9508, "step": 67 }, { "epoch": 0.42, "learning_rate": 0.00029376973773603533, "loss": 1.9913, "step": 68 }, { "epoch": 0.43, "learning_rate": 0.0002935546141650618, "loss": 1.9762, "step": 69 }, { "epoch": 0.44, "learning_rate": 0.00029333592086792107, "loss": 2.0, "step": 70 }, { "epoch": 0.44, "learning_rate": 0.0002931136632827886, "loss": 1.9629, "step": 71 }, { "epoch": 0.45, "learning_rate": 0.0002928878469364719, "loss": 2.0009, "step": 72 }, { "epoch": 0.46, "learning_rate": 0.00029265847744427303, "loss": 1.9714, "step": 73 }, { "epoch": 0.46, "learning_rate": 0.0002924255605098489, "loss": 1.9474, "step": 74 }, { "epoch": 0.47, "learning_rate": 0.0002921891019250697, "loss": 1.9959, "step": 75 }, { "epoch": 0.47, "learning_rate": 0.0002919491075698746, "loss": 1.9846, "step": 76 }, { "epoch": 0.48, "learning_rate": 0.00029170558341212554, "loss": 1.9978, "step": 77 }, { "epoch": 0.49, "learning_rate": 0.00029145853550745904, "loss": 1.9527, "step": 78 }, { "epoch": 0.49, "learning_rate": 0.00029120796999913546, "loss": 1.9585, "step": 79 }, { "epoch": 0.5, "learning_rate": 0.0002909538931178862, "loss": 1.9905, "step": 80 }, { "epoch": 0.5, "eval_loss": 1.96906578540802, "eval_runtime": 291.8459, "eval_samples_per_second": 204.598, "eval_steps_per_second": 204.598, "step": 80 }, { "epoch": 0.51, "learning_rate": 0.00029069631118175903, "loss": 1.9926, "step": 81 }, { "epoch": 0.51, "learning_rate": 0.00029043523059596053, "loss": 1.9916, "step": 82 }, { "epoch": 0.52, "learning_rate": 0.0002901706578526973, "loss": 1.9545, "step": 83 }, { "epoch": 0.52, "learning_rate": 0.0002899025995310141, "loss": 1.9399, "step": 84 }, { "epoch": 0.53, "learning_rate": 0.00028963106229663063, "loss": 1.9515, "step": 85 }, { "epoch": 0.54, "learning_rate": 0.00028935605290177535, "loss": 1.9855, "step": 86 }, { "epoch": 0.54, "learning_rate": 0.0002890775781850181, "loss": 2.0159, "step": 87 }, { "epoch": 0.55, "learning_rate": 0.00028879564507109946, "loss": 1.9885, "step": 88 }, { "epoch": 0.55, "learning_rate": 0.00028851026057075916, "loss": 1.9625, "step": 89 }, { "epoch": 0.56, "learning_rate": 0.00028822143178056114, "loss": 1.9161, "step": 90 }, { "epoch": 0.57, "learning_rate": 0.0002879291658827176, "loss": 1.9141, "step": 91 }, { "epoch": 0.57, "learning_rate": 0.00028763347014491, "loss": 1.9867, "step": 92 }, { "epoch": 0.58, "learning_rate": 0.00028733435192010887, "loss": 1.9325, "step": 93 }, { "epoch": 0.59, "learning_rate": 0.0002870318186463901, "loss": 1.9517, "step": 94 }, { "epoch": 0.59, "learning_rate": 0.00028672587784675096, "loss": 1.9435, "step": 95 }, { "epoch": 0.6, "learning_rate": 0.0002864165371289223, "loss": 1.9428, "step": 96 }, { "epoch": 0.6, "learning_rate": 0.0002861038041851797, "loss": 1.9182, "step": 97 }, { "epoch": 0.61, "learning_rate": 0.0002857876867921522, "loss": 1.9344, "step": 98 }, { "epoch": 0.62, "learning_rate": 0.0002854681928106287, "loss": 1.9652, "step": 99 }, { "epoch": 0.62, "learning_rate": 0.0002851453301853628, "loss": 1.9332, "step": 100 }, { "epoch": 0.63, "learning_rate": 0.000284819106944875, "loss": 1.9042, "step": 101 }, { "epoch": 0.64, "learning_rate": 0.0002844895312012531, "loss": 1.9571, "step": 102 }, { "epoch": 0.64, "learning_rate": 0.0002841566111499505, "loss": 1.9129, "step": 103 }, { "epoch": 0.65, "learning_rate": 0.0002838203550695825, "loss": 1.9347, "step": 104 }, { "epoch": 0.65, "learning_rate": 0.00028348077132172027, "loss": 1.9461, "step": 105 }, { "epoch": 0.66, "learning_rate": 0.0002831378683506831, "loss": 1.9188, "step": 106 }, { "epoch": 0.67, "learning_rate": 0.00028279165468332823, "loss": 1.9491, "step": 107 }, { "epoch": 0.67, "learning_rate": 0.000282442138928839, "loss": 1.961, "step": 108 }, { "epoch": 0.68, "learning_rate": 0.00028208932977851067, "loss": 1.9048, "step": 109 }, { "epoch": 0.69, "learning_rate": 0.0002817332360055343, "loss": 1.9493, "step": 110 }, { "epoch": 0.69, "learning_rate": 0.0002813738664647784, "loss": 1.9685, "step": 111 }, { "epoch": 0.7, "learning_rate": 0.00028101123009256947, "loss": 1.9054, "step": 112 }, { "epoch": 0.7, "learning_rate": 0.0002806453359064686, "loss": 1.9317, "step": 113 }, { "epoch": 0.71, "learning_rate": 0.00028027619300504834, "loss": 1.9701, "step": 114 }, { "epoch": 0.72, "learning_rate": 0.0002799038105676658, "loss": 1.9426, "step": 115 }, { "epoch": 0.72, "learning_rate": 0.0002795281978542346, "loss": 1.957, "step": 116 }, { "epoch": 0.73, "learning_rate": 0.0002791493642049947, "loss": 1.9535, "step": 117 }, { "epoch": 0.74, "learning_rate": 0.0002787673190402799, "loss": 1.9045, "step": 118 }, { "epoch": 0.74, "learning_rate": 0.00027838207186028376, "loss": 1.9575, "step": 119 }, { "epoch": 0.75, "learning_rate": 0.0002779936322448233, "loss": 1.8699, "step": 120 }, { "epoch": 0.75, "eval_loss": 1.9343771934509277, "eval_runtime": 292.8194, "eval_samples_per_second": 203.917, "eval_steps_per_second": 203.917, "step": 120 }, { "epoch": 0.75, "learning_rate": 0.0002776020098531009, "loss": 1.956, "step": 121 }, { "epoch": 0.76, "learning_rate": 0.00027720721442346387, "loss": 1.8958, "step": 122 }, { "epoch": 0.77, "learning_rate": 0.0002768092557731625, "loss": 1.9157, "step": 123 }, { "epoch": 0.77, "learning_rate": 0.00027640814379810587, "loss": 1.9118, "step": 124 }, { "epoch": 0.78, "learning_rate": 0.0002760038884726157, "loss": 1.9707, "step": 125 }, { "epoch": 0.79, "learning_rate": 0.0002755964998491785, "loss": 1.9563, "step": 126 }, { "epoch": 0.79, "learning_rate": 0.0002751859880581954, "loss": 1.9825, "step": 127 }, { "epoch": 0.8, "learning_rate": 0.0002747723633077303, "loss": 1.9687, "step": 128 }, { "epoch": 0.8, "learning_rate": 0.0002743556358832562, "loss": 1.9378, "step": 129 }, { "epoch": 0.81, "learning_rate": 0.00027393581614739923, "loss": 1.9307, "step": 130 }, { "epoch": 0.82, "learning_rate": 0.00027351291453968086, "loss": 1.9333, "step": 131 }, { "epoch": 0.82, "learning_rate": 0.0002730869415762587, "loss": 1.9229, "step": 132 }, { "epoch": 0.83, "learning_rate": 0.0002726579078496647, "loss": 1.911, "step": 133 }, { "epoch": 0.84, "learning_rate": 0.00027222582402854176, "loss": 1.9556, "step": 134 }, { "epoch": 0.84, "learning_rate": 0.0002717907008573785, "loss": 1.9008, "step": 135 }, { "epoch": 0.85, "learning_rate": 0.0002713525491562421, "loss": 1.9651, "step": 136 }, { "epoch": 0.85, "learning_rate": 0.0002709113798205093, "loss": 1.9337, "step": 137 }, { "epoch": 0.86, "learning_rate": 0.00027046720382059526, "loss": 1.9485, "step": 138 }, { "epoch": 0.87, "learning_rate": 0.00027002003220168093, "loss": 1.8647, "step": 139 }, { "epoch": 0.87, "learning_rate": 0.0002695698760834384, "loss": 1.9288, "step": 140 }, { "epoch": 0.88, "learning_rate": 0.00026911674665975417, "loss": 1.9535, "step": 141 }, { "epoch": 0.89, "learning_rate": 0.0002686606551984512, "loss": 1.932, "step": 142 }, { "epoch": 0.89, "learning_rate": 0.00026820161304100823, "loss": 1.9516, "step": 143 }, { "epoch": 0.9, "learning_rate": 0.0002677396316022783, "loss": 1.9347, "step": 144 }, { "epoch": 0.9, "learning_rate": 0.00026727472237020447, "loss": 1.9473, "step": 145 }, { "epoch": 0.91, "learning_rate": 0.0002668068969055341, "loss": 1.9428, "step": 146 }, { "epoch": 0.92, "learning_rate": 0.0002663361668415318, "loss": 1.9204, "step": 147 }, { "epoch": 0.92, "learning_rate": 0.0002658625438836899, "loss": 1.9039, "step": 148 }, { "epoch": 0.93, "learning_rate": 0.0002653860398094373, "loss": 1.9166, "step": 149 }, { "epoch": 0.94, "learning_rate": 0.00026490666646784665, "loss": 1.9072, "step": 150 }, { "epoch": 0.94, "learning_rate": 0.00026442443577933994, "loss": 1.9014, "step": 151 }, { "epoch": 0.95, "learning_rate": 0.0002639393597353917, "loss": 1.9272, "step": 152 }, { "epoch": 0.95, "learning_rate": 0.00026345145039823097, "loss": 1.9274, "step": 153 }, { "epoch": 0.96, "learning_rate": 0.00026296071990054165, "loss": 1.9548, "step": 154 }, { "epoch": 0.97, "learning_rate": 0.0002624671804451601, "loss": 1.928, "step": 155 }, { "epoch": 0.97, "learning_rate": 0.0002619708443047725, "loss": 1.9072, "step": 156 }, { "epoch": 0.98, "learning_rate": 0.00026147172382160914, "loss": 1.9116, "step": 157 }, { "epoch": 0.99, "learning_rate": 0.0002609698314071376, "loss": 1.915, "step": 158 }, { "epoch": 0.99, "learning_rate": 0.0002604651795417543, "loss": 1.915, "step": 159 }, { "epoch": 1.0, "learning_rate": 0.0002599577807744739, "loss": 1.9604, "step": 160 }, { "epoch": 1.0, "eval_loss": 1.911091685295105, "eval_runtime": 289.5613, "eval_samples_per_second": 206.212, "eval_steps_per_second": 206.212, "step": 160 }, { "epoch": 1.0, "learning_rate": 0.0002594476477226176, "loss": 1.9335, "step": 161 }, { "epoch": 1.01, "learning_rate": 0.00025893479307149893, "loss": 1.9033, "step": 162 }, { "epoch": 1.0, "learning_rate": 0.0002584192295741087, "loss": 1.874, "step": 163 }, { "epoch": 1.01, "learning_rate": 0.00025790097005079764, "loss": 1.7896, "step": 164 }, { "epoch": 1.01, "learning_rate": 0.0002573800273889577, "loss": 1.7936, "step": 165 }, { "epoch": 1.02, "learning_rate": 0.00025685641454270173, "loss": 1.8321, "step": 166 }, { "epoch": 1.03, "learning_rate": 0.00025633014453254086, "loss": 1.8105, "step": 167 }, { "epoch": 1.03, "learning_rate": 0.0002558012304450613, "loss": 1.8068, "step": 168 }, { "epoch": 1.04, "learning_rate": 0.0002552696854325987, "loss": 1.7953, "step": 169 }, { "epoch": 1.05, "learning_rate": 0.0002547355227129109, "loss": 1.8073, "step": 170 }, { "epoch": 1.05, "learning_rate": 0.0002541987555688496, "loss": 1.8095, "step": 171 }, { "epoch": 1.06, "learning_rate": 0.0002536593973480297, "loss": 1.7939, "step": 172 }, { "epoch": 1.06, "learning_rate": 0.0002531174614624977, "loss": 1.8226, "step": 173 }, { "epoch": 1.07, "learning_rate": 0.000252572961388398, "loss": 1.7815, "step": 174 }, { "epoch": 1.08, "learning_rate": 0.00025202591066563786, "loss": 1.7929, "step": 175 }, { "epoch": 1.08, "learning_rate": 0.00025147632289755075, "loss": 1.8027, "step": 176 }, { "epoch": 1.09, "learning_rate": 0.0002509242117505579, "loss": 1.8349, "step": 177 }, { "epoch": 1.1, "learning_rate": 0.0002503695909538287, "loss": 1.7828, "step": 178 }, { "epoch": 1.1, "learning_rate": 0.0002498124742989391, "loss": 1.814, "step": 179 }, { "epoch": 1.11, "learning_rate": 0.0002492528756395289, "loss": 1.821, "step": 180 }, { "epoch": 1.11, "learning_rate": 0.0002486908088909569, "loss": 1.8023, "step": 181 }, { "epoch": 1.12, "learning_rate": 0.0002481262880299552, "loss": 1.7953, "step": 182 }, { "epoch": 1.13, "learning_rate": 0.0002475593270942814, "loss": 1.8497, "step": 183 }, { "epoch": 1.13, "learning_rate": 0.0002469899401823699, "loss": 1.7957, "step": 184 }, { "epoch": 1.14, "learning_rate": 0.0002464181414529809, "loss": 1.7958, "step": 185 }, { "epoch": 1.15, "learning_rate": 0.0002458439451248484, "loss": 1.8024, "step": 186 }, { "epoch": 1.15, "learning_rate": 0.0002452673654763268, "loss": 1.8306, "step": 187 }, { "epoch": 1.16, "learning_rate": 0.0002446884168450358, "loss": 1.8174, "step": 188 }, { "epoch": 1.16, "learning_rate": 0.00024410711362750386, "loss": 1.8032, "step": 189 }, { "epoch": 1.17, "learning_rate": 0.00024352347027881003, "loss": 1.8087, "step": 190 }, { "epoch": 1.18, "learning_rate": 0.0002429375013122247, "loss": 1.7648, "step": 191 }, { "epoch": 1.18, "learning_rate": 0.0002423492212988487, "loss": 1.8544, "step": 192 }, { "epoch": 1.19, "learning_rate": 0.00024175864486725092, "loss": 1.7978, "step": 193 }, { "epoch": 1.2, "learning_rate": 0.0002411657867031045, "loss": 1.7866, "step": 194 }, { "epoch": 1.2, "learning_rate": 0.0002405706615488216, "loss": 1.8074, "step": 195 }, { "epoch": 1.21, "learning_rate": 0.00023997328420318704, "loss": 1.7842, "step": 196 }, { "epoch": 1.21, "learning_rate": 0.00023937366952099005, "loss": 1.781, "step": 197 }, { "epoch": 1.22, "learning_rate": 0.00023877183241265514, "loss": 1.786, "step": 198 }, { "epoch": 1.23, "learning_rate": 0.00023816778784387094, "loss": 1.8091, "step": 199 }, { "epoch": 1.23, "learning_rate": 0.00023756155083521846, "loss": 1.7684, "step": 200 }, { "epoch": 1.23, "eval_loss": 1.897764801979065, "eval_runtime": 292.524, "eval_samples_per_second": 204.123, "eval_steps_per_second": 204.123, "step": 200 }, { "epoch": 1.24, "learning_rate": 0.00023695313646179735, "loss": 1.7693, "step": 201 }, { "epoch": 1.25, "learning_rate": 0.00023634255985285102, "loss": 1.7598, "step": 202 }, { "epoch": 1.25, "learning_rate": 0.00023572983619139058, "loss": 1.8441, "step": 203 }, { "epoch": 1.26, "learning_rate": 0.00023511498071381726, "loss": 1.7768, "step": 204 }, { "epoch": 1.26, "learning_rate": 0.00023449800870954326, "loss": 1.784, "step": 205 }, { "epoch": 1.27, "learning_rate": 0.00023387893552061199, "loss": 1.7905, "step": 206 }, { "epoch": 1.28, "learning_rate": 0.00023325777654131623, "loss": 1.7996, "step": 207 }, { "epoch": 1.28, "learning_rate": 0.00023263454721781537, "loss": 1.7546, "step": 208 }, { "epoch": 1.29, "learning_rate": 0.0002320092630477515, "loss": 1.8043, "step": 209 }, { "epoch": 1.3, "learning_rate": 0.0002313819395798639, "loss": 1.7817, "step": 210 }, { "epoch": 1.3, "learning_rate": 0.00023075259241360233, "loss": 1.8117, "step": 211 }, { "epoch": 1.31, "learning_rate": 0.00023012123719873926, "loss": 1.7798, "step": 212 }, { "epoch": 1.31, "learning_rate": 0.0002294878896349807, "loss": 1.763, "step": 213 }, { "epoch": 1.32, "learning_rate": 0.00022885256547157566, "loss": 1.8169, "step": 214 }, { "epoch": 1.33, "learning_rate": 0.0002282152805069247, "loss": 1.797, "step": 215 }, { "epoch": 1.33, "learning_rate": 0.00022757605058818688, "loss": 1.7768, "step": 216 }, { "epoch": 1.34, "learning_rate": 0.0002269348916108859, "loss": 1.8005, "step": 217 }, { "epoch": 1.35, "learning_rate": 0.00022629181951851473, "loss": 1.7734, "step": 218 }, { "epoch": 1.35, "learning_rate": 0.0002256468503021391, "loss": 1.774, "step": 219 }, { "epoch": 1.36, "learning_rate": 0.000225, "loss": 1.7865, "step": 220 }, { "epoch": 1.36, "learning_rate": 0.00022435128469711465, "loss": 1.7613, "step": 221 }, { "epoch": 1.37, "learning_rate": 0.00022370072052487668, "loss": 1.8013, "step": 222 }, { "epoch": 1.38, "learning_rate": 0.00022304832366065505, "loss": 1.7617, "step": 223 }, { "epoch": 1.38, "learning_rate": 0.00022239411032739162, "loss": 1.7323, "step": 224 }, { "epoch": 1.39, "learning_rate": 0.00022173809679319772, "loss": 1.7838, "step": 225 }, { "epoch": 1.4, "learning_rate": 0.0002210802993709498, "loss": 1.8099, "step": 226 }, { "epoch": 1.4, "learning_rate": 0.00022042073441788358, "loss": 1.82, "step": 227 }, { "epoch": 1.41, "learning_rate": 0.00021975941833518757, "loss": 1.772, "step": 228 }, { "epoch": 1.41, "learning_rate": 0.00021909636756759483, "loss": 1.8044, "step": 229 }, { "epoch": 1.42, "learning_rate": 0.00021843159860297442, "loss": 1.7679, "step": 230 }, { "epoch": 1.43, "learning_rate": 0.00021776512797192123, "loss": 1.7786, "step": 231 }, { "epoch": 1.43, "learning_rate": 0.00021709697224734487, "loss": 1.8305, "step": 232 }, { "epoch": 1.44, "learning_rate": 0.00021642714804405772, "loss": 1.8044, "step": 233 }, { "epoch": 1.45, "learning_rate": 0.0002157556720183616, "loss": 1.7838, "step": 234 }, { "epoch": 1.45, "learning_rate": 0.00021508256086763368, "loss": 1.7639, "step": 235 }, { "epoch": 1.46, "learning_rate": 0.00021440783132991136, "loss": 1.8067, "step": 236 }, { "epoch": 1.46, "learning_rate": 0.00021373150018347576, "loss": 1.772, "step": 237 }, { "epoch": 1.47, "learning_rate": 0.0002130535842464348, "loss": 1.7985, "step": 238 }, { "epoch": 1.48, "learning_rate": 0.00021237410037630493, "loss": 1.7746, "step": 239 }, { "epoch": 1.48, "learning_rate": 0.00021169306546959174, "loss": 1.7673, "step": 240 }, { "epoch": 1.48, "eval_loss": 1.880852222442627, "eval_runtime": 291.0717, "eval_samples_per_second": 205.142, "eval_steps_per_second": 205.142, "step": 240 }, { "epoch": 1.49, "learning_rate": 0.00021101049646137003, "loss": 1.7555, "step": 241 }, { "epoch": 1.49, "learning_rate": 0.0002103264103248626, "loss": 1.7722, "step": 242 }, { "epoch": 1.5, "learning_rate": 0.00020964082407101824, "loss": 1.7686, "step": 243 }, { "epoch": 1.51, "learning_rate": 0.00020895375474808852, "loss": 1.7625, "step": 244 }, { "epoch": 1.51, "learning_rate": 0.0002082652194412042, "loss": 1.7524, "step": 245 }, { "epoch": 1.52, "learning_rate": 0.00020757523527195005, "loss": 1.7785, "step": 246 }, { "epoch": 1.53, "learning_rate": 0.00020688381939793928, "loss": 1.7901, "step": 247 }, { "epoch": 1.53, "learning_rate": 0.0002061909890123868, "loss": 1.7941, "step": 248 }, { "epoch": 1.54, "learning_rate": 0.00020549676134368184, "loss": 1.8157, "step": 249 }, { "epoch": 1.54, "learning_rate": 0.00020480115365495926, "loss": 1.8354, "step": 250 }, { "epoch": 1.55, "learning_rate": 0.00020410418324367055, "loss": 1.7764, "step": 251 }, { "epoch": 1.56, "learning_rate": 0.0002034058674411535, "loss": 1.7677, "step": 252 }, { "epoch": 1.56, "learning_rate": 0.0002027062236122014, "loss": 1.7739, "step": 253 }, { "epoch": 1.57, "learning_rate": 0.00020200526915463107, "loss": 1.7746, "step": 254 }, { "epoch": 1.58, "learning_rate": 0.00020130302149885031, "loss": 1.7675, "step": 255 }, { "epoch": 1.58, "learning_rate": 0.0002005994981074245, "loss": 1.737, "step": 256 }, { "epoch": 1.59, "learning_rate": 0.0001998947164746423, "loss": 1.8318, "step": 257 }, { "epoch": 1.59, "learning_rate": 0.00019918869412608066, "loss": 1.7959, "step": 258 }, { "epoch": 1.6, "learning_rate": 0.00019848144861816898, "loss": 1.7567, "step": 259 }, { "epoch": 1.61, "learning_rate": 0.00019777299753775265, "loss": 1.7896, "step": 260 }, { "epoch": 1.61, "learning_rate": 0.0001970633585016556, "loss": 1.7706, "step": 261 }, { "epoch": 1.62, "learning_rate": 0.0001963525491562421, "loss": 1.7561, "step": 262 }, { "epoch": 1.63, "learning_rate": 0.00019564058717697847, "loss": 1.8023, "step": 263 }, { "epoch": 1.63, "learning_rate": 0.00019492749026799288, "loss": 1.8121, "step": 264 }, { "epoch": 1.64, "learning_rate": 0.00019421327616163563, "loss": 1.791, "step": 265 }, { "epoch": 1.64, "learning_rate": 0.00019349796261803793, "loss": 1.7758, "step": 266 }, { "epoch": 1.65, "learning_rate": 0.00019278156742467032, "loss": 1.755, "step": 267 }, { "epoch": 1.66, "learning_rate": 0.0001920641083959004, "loss": 1.6986, "step": 268 }, { "epoch": 1.66, "learning_rate": 0.00019134560337254986, "loss": 1.7569, "step": 269 }, { "epoch": 1.67, "learning_rate": 0.00019062607022145078, "loss": 1.7849, "step": 270 }, { "epoch": 1.68, "learning_rate": 0.00018990552683500125, "loss": 1.7833, "step": 271 }, { "epoch": 1.68, "learning_rate": 0.00018918399113072076, "loss": 1.7739, "step": 272 }, { "epoch": 1.69, "learning_rate": 0.00018846148105080424, "loss": 1.7765, "step": 273 }, { "epoch": 1.69, "learning_rate": 0.00018773801456167628, "loss": 1.6825, "step": 274 }, { "epoch": 1.7, "learning_rate": 0.00018701360965354402, "loss": 1.758, "step": 275 }, { "epoch": 1.71, "learning_rate": 0.00018628828433995013, "loss": 1.7477, "step": 276 }, { "epoch": 1.71, "learning_rate": 0.00018556205665732462, "loss": 1.7757, "step": 277 }, { "epoch": 1.72, "learning_rate": 0.00018483494466453636, "loss": 1.7946, "step": 278 }, { "epoch": 1.73, "learning_rate": 0.0001841069664424442, "loss": 1.7968, "step": 279 }, { "epoch": 1.73, "learning_rate": 0.00018337814009344714, "loss": 1.7296, "step": 280 }, { "epoch": 1.73, "eval_loss": 1.8629968166351318, "eval_runtime": 293.6177, "eval_samples_per_second": 203.363, "eval_steps_per_second": 203.363, "step": 280 }, { "epoch": 1.74, "learning_rate": 0.00018264848374103433, "loss": 1.7516, "step": 281 }, { "epoch": 1.74, "learning_rate": 0.00018191801552933432, "loss": 1.7466, "step": 282 }, { "epoch": 1.75, "learning_rate": 0.00018118675362266385, "loss": 1.7304, "step": 283 }, { "epoch": 1.76, "learning_rate": 0.0001804547162050764, "loss": 1.7519, "step": 284 }, { "epoch": 1.76, "learning_rate": 0.0001797219214799096, "loss": 1.7721, "step": 285 }, { "epoch": 1.77, "learning_rate": 0.00017898838766933298, "loss": 1.7455, "step": 286 }, { "epoch": 1.78, "learning_rate": 0.00017825413301389453, "loss": 1.7674, "step": 287 }, { "epoch": 1.78, "learning_rate": 0.00017751917577206734, "loss": 1.7581, "step": 288 }, { "epoch": 1.79, "learning_rate": 0.00017678353421979548, "loss": 1.7714, "step": 289 }, { "epoch": 1.79, "learning_rate": 0.00017604722665003956, "loss": 1.7696, "step": 290 }, { "epoch": 1.8, "learning_rate": 0.0001753102713723217, "loss": 1.7903, "step": 291 }, { "epoch": 1.81, "learning_rate": 0.00017457268671227063, "loss": 1.7563, "step": 292 }, { "epoch": 1.81, "learning_rate": 0.00017383449101116547, "loss": 1.7828, "step": 293 }, { "epoch": 1.82, "learning_rate": 0.00017309570262548, "loss": 1.7417, "step": 294 }, { "epoch": 1.83, "learning_rate": 0.00017235633992642615, "loss": 1.7491, "step": 295 }, { "epoch": 1.83, "learning_rate": 0.000171616421299497, "loss": 1.7316, "step": 296 }, { "epoch": 1.84, "learning_rate": 0.0001708759651440098, "loss": 1.785, "step": 297 }, { "epoch": 1.84, "learning_rate": 0.00017013498987264832, "loss": 1.7413, "step": 298 }, { "epoch": 1.85, "learning_rate": 0.00016939351391100497, "loss": 1.7874, "step": 299 }, { "epoch": 1.86, "learning_rate": 0.00016865155569712278, "loss": 1.7377, "step": 300 }, { "epoch": 1.86, "learning_rate": 0.0001679091336810366, "loss": 1.7814, "step": 301 }, { "epoch": 1.87, "learning_rate": 0.00016716626632431477, "loss": 1.7343, "step": 302 }, { "epoch": 1.88, "learning_rate": 0.00016642297209959955, "loss": 1.7549, "step": 303 }, { "epoch": 1.88, "learning_rate": 0.000165679269490148, "loss": 1.8005, "step": 304 }, { "epoch": 1.89, "learning_rate": 0.0001649351769893725, "loss": 1.8071, "step": 305 }, { "epoch": 1.89, "learning_rate": 0.00016419071310038057, "loss": 1.777, "step": 306 }, { "epoch": 1.9, "learning_rate": 0.00016344589633551502, "loss": 1.7851, "step": 307 }, { "epoch": 1.91, "learning_rate": 0.00016270074521589347, "loss": 1.7768, "step": 308 }, { "epoch": 1.91, "learning_rate": 0.00016195527827094787, "loss": 1.7751, "step": 309 }, { "epoch": 1.92, "learning_rate": 0.00016120951403796364, "loss": 1.7342, "step": 310 }, { "epoch": 1.93, "learning_rate": 0.00016046347106161876, "loss": 1.7465, "step": 311 }, { "epoch": 1.93, "learning_rate": 0.00015971716789352274, "loss": 1.7957, "step": 312 }, { "epoch": 1.94, "learning_rate": 0.00015897062309175512, "loss": 1.785, "step": 313 }, { "epoch": 1.94, "learning_rate": 0.000158223855220404, "loss": 1.7575, "step": 314 }, { "epoch": 1.95, "learning_rate": 0.00015747688284910457, "loss": 1.7998, "step": 315 }, { "epoch": 1.96, "learning_rate": 0.00015672972455257723, "loss": 1.7767, "step": 316 }, { "epoch": 1.96, "learning_rate": 0.00015598239891016574, "loss": 1.7811, "step": 317 }, { "epoch": 1.97, "learning_rate": 0.00015523492450537517, "loss": 1.7671, "step": 318 }, { "epoch": 1.98, "learning_rate": 0.00015448731992540976, "loss": 1.7707, "step": 319 }, { "epoch": 1.98, "learning_rate": 0.00015373960376071093, "loss": 1.7737, "step": 320 }, { "epoch": 1.98, "eval_loss": 1.8478573560714722, "eval_runtime": 291.1645, "eval_samples_per_second": 205.077, "eval_steps_per_second": 205.077, "step": 320 } ], "logging_steps": 1, "max_steps": 640, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 160, "total_flos": 9.369493490053939e+17, "train_batch_size": 1, "trial_name": null, "trial_params": null }